%{search_type} search results

• A Study of Energy Reduction Strategies in Renewable Hybrid Grid.- Classification and Watermarking of Brain Tumor using Artificial and Convolutional Neural Networks.- A Proposal for a Deep Learning Model to Enhance Student Guidance and Reduce Dropout.- EduBot: An Unsupervised Domain-Specific Chatbot for Educational Institutions.- SQL Generation from Natural Language using Supervised Learning and Recurrent Neural Networks.- Toward Intelligent Solution to Identify Learner Attitude from Source Code.
• (source: Nielsen Book Data)

This book gathers selected papers from Artificial Intelligence and Industrial Applications (A2IA'2020), the first installment of an annual international conference organized by ENSAM-Meknes at Moulay Ismail University, Morocco. The 29 papers presented here were carefully reviewed and selected from 141 submissions by an international scientific committee. They address various aspects of artificial intelligence such as digital twin, multiagent systems, deep learning, image processing and analysis, control, prediction, modeling, optimization and design, as well as AI applications in industry, health, energy, agriculture, and education. The book is intended for AI experts, offering them a valuable overview and global outlook for the future, and highlights a wealth of innovative ideas and recent, important advances in AI applications, both of a foundational and practical nature. It will also appeal to non-experts who are curious about this timely and important subject.
(source: Nielsen Book Data)

• A Fuzzy Ontology Based Approach To Support Product Eco-Design.-
• A Genetic-based SVM Approach for Quality Data Classification.- Towards a platform to implement an intelligent and predictive maintenance in the context of industry.- Towards a Prediction Analysis in an Industrial Context.- Methodology for Implementation of Industry . Technologies in Supply Chain for SMEs.- A Deep Reinforcement Learning DRL Decision Model For Heating Process Parameters Identification In Automotive Glass Manufacturing
• Analytic Hierarchy Process AHP for supply chain . risks management.- SmartDFRelevance: a Holonic Agent based System for Engineering Industrial Projects in Concurrent Engineering Context.- A Cyber-Physical Warehouse Management System Architecture in an.- Industry . context.- PLM and Smart technologies for product and supply chain design.- Production systems simulation considering Non-Productive Times and Human Factors.- Distributed and Embedded System to Control Traffic Collision Based on Artificial Intelligence.- The Emergence and Decision Support in Complex System with Fuzzy Logic Control.- Markov Decision Processes with Discounted Costs over a Finite Horizon: Action Elimination.- Robust adaptive fuzzy path tracking control of Differential Wheeled Mobile Robot.- Deep Learning approach for Automated Guided Vehicle System.- Path Planning Using Particle Swarm Optimization And Fuzzy Logic
• Prediction of Robot localization states using Hidden Markov Models.- A New Approach for Multi-Agent Reinforcement Learning.- Recommender System for Most Relevant k Pick-Up Points.- Feature Detection and Tracking for Visual Effects: Augmented Reality and Video Stabilization.- Spectral image recognition using artificial dynamic neural network in information resonance mode.- U-Net Based Model for Obfuscated Human Faces Reconstruction.- A Machine Learning Assistant for Choosing Operators and Tuning Their Parameters in Image Processing Tasks.- Convergence and parameters setting of continuous Hopfield neural networks applied to image restoration problem.- The Ibn Battouta Air Traffic Control Corpus with Real Life ADS-B and METAR data.- Weed Recognition System For Low-Land Rice Precision Farming Using Deep Learning Approach.- A Comparative Study Between Mixture and Stepwise Regression to Model The Parameters Of The Composting Process.- Deep Learning Based Sponge Gourd Diseases Recognition For Commercial Cultivation in Bangladesh.- Exploitation of vegetation indices and Random Forest for cartography of rosemary cover: application to Gourrama region, Morocco.
• (source: Nielsen Book Data)

This book gathers the refereed proceedings of the Artificial Intelligence and Industrial Applications (A2IA'2020), the first installment of an annual international conference organized by the ENSAM-Meknes at Moulay Ismail University, Morocco. The 30 papers presented here were carefully reviewed and selected from 141 submissions by an international scientific committee. They address various aspects of artificial intelligence such as smart manufacturing, smart maintenance, smart supply chain management, supervised learning, unsupervised learning, reinforcement learning, graph-based and semi-supervised learning, neural networks, deep learning, planning and optimization, and other AI applications. The book is intended for AI experts, offering them a valuable overview of the status quo and a global outlook for the future, with many new and innovative ideas and recent important developments in AI applications, both of a foundational and practical nature. It will also appeal to non-experts who are curious about this timely and important subject.
(source: Nielsen Book Data)

• Introduction
• Monitoring of Weld Pool Surface with Active Vision
• Visual Sensing of 3D Weld Pool Geometry with Passive Vision Image
• Penetration prediction with machine learning models
• Penetration Control for Bead-on plate welding
• Penetration Detection of narrow U-groove welding
• Lack of fusion detection inside narrow U-groove
• Conclustions and recommendations.

This book describes the application of vision-sensing technologies in welding processes, one of the key technologies in intelligent welding manufacturing. Gas tungsten arc welding (GTAW) is one of the main welding techniques and has a wide range of applications in the manufacturing industry. As such, the book also explores the application of AI technologies, such as vision sensing and machine learning, in GTAW process sensing and feature extraction and monitoring, and presents the state-of-the-art in computer vision, image processing and machine learning to detect welding defects using non-destructive methods in order to improve welding productivity. Featuring the latest research from ORNL (Oak Ridge National Laboratory) using digital image correlation technology, this book will appeal to researchers, scientists and engineers in the field of advanced manufacturing.
(source: Nielsen Book Data)

• Introduction
• Kinematic Geometry of the PnP Robots
• Differential Kinematics of the Robots
• Kinematic Performance Criteria
• Elastostatics and Stiffness
• Rigid Multibody Dynamics
• Robot Elastodynamics
• Design optimization of parallel PnP Robots.

This book discusses the parametric modeling, performance evaluation, design optimization and comparative study of the high-speed, parallel pick-and-place robots. It collects the modeling methodology, evaluation criteria and design guidelines for parallel PnP robots to provide a systematic analysis method for robotic developers. Furthermore, it gathers the research results previously scattered in many prestigious international journals and conference proceedings and methodically edits them and presents them in a unified form. The book is of interest to researchers, R&D engineers and graduate students in industrial parallel robotics who wish to learn the core principles, methods, algorithms, and applications.
(source: Nielsen Book Data)

• Development of an Industry 4.0 demonstrator using Sequence Planner and ROS2.- ROS2 for ROS1 users.- Multi-Robot SLAM framework for ROS with Efficient Information Sharing.- Agile experimentation of robot swarms in large scale.- Lessons learned building a self-driving car on top of ROS.- Landing a UAV on a moving platform using a front facing camera.- Integrating the Functional Mock-up Interface with ROS and Gazebo.- An ARVA sensor simulator.- ROS Implementation for Untethered Microrobot Manipulation.- ClegS: A package to develop C-legged robots.- Video frames selection method for 3D Reconstruction depending on ROS-based monocular SLAM.- ROS Rescue: Fault Tolerance System for ROS.
• (source: Nielsen Book Data)

This book is the fifth volume in the successful book series Robot Operating System: The Complete Reference. The objective of the book is to provide the reader with comprehensive coverage on the Robot Operating System (ROS), which is currently considered to be the primary development framework for robotics applications, and the latest trends and contributing systems. The content is divided into six parts. Pat I presents for the first time the emerging ROS 2.0 framework, while Part II focuses on multi-robot systems, namely on SLAM and Swarm coordination. Part III provides two chapters on autonomous systems, namely self-driving cars and unmanned aerial systems. In turn, Part IV addresses the contributions of simulation frameworks for ROS. In Part V, two chapters explore robotic manipulators and legged robots. Finally, Part VI presents emerging topics in monocular SLAM and a chapter on fault tolerance systems for ROS. Given its scope, the book will offer a valuable companion for ROS users and developers, helping them deepen their knowledge of ROS capabilities and features. .
(source: Nielsen Book Data)

• Intro
• Preface
• Introduction
• Contents
• 1 Safety the Basis for Future Mobility
• 1.1 Safety is Much More Than Safety Engineering
• 1.2 Safety as a Social Right
• 1.3 Legal Basis for "Auto-Mobility"
• 1.3.1 The German Road Traffic Act (StVG)
• 1.3.2 Origin of the German Road Traffic Act
• 1.3.3 Adaptation of the Traffic Right for the Globalisation Trend
• 1.3.4 Activities in Germany for Future Mobility Solutions
• 1.3.5 Genevan and Viennese Convention
• 1.4 European Union (EU) and Legislation
• 1.4.1 EU Directives Related to Road Traffic
• 1.4.2 European Vehicle Class

• 1.4.3 EU Directive for Future Mobility
• 1.5 Licensing Act
• 1.6 US Road Traffic Regulations
• 1.7 UNECE
• 1.8 Legal View on Future Mobility
• 1.8.1 New Licensing Approach for Automated Vehicles
• 1.8.2 ITS Law
• 1.8.3 ETSI-European Telecommunications Standards Institute
• 1.8.4 OECD, Organisation for Economic Co-operation and Development
• 1.8.5 ETSC European Transport Safety Council
• 1.8.6 IT Security Act
• 1.9 Product Liability
• 1.10 Common Law and Civil Law
• 1.11 Legal Regulation in China
• 1.12 Insurance
• 2 Risk Management
• 2.1 Risk Management Cycle

• 2.1.1 Development of the Context
• 2.1.2 Identification of Risk
• 2.1.3 Assessment of the Risk in the Target Context
• 2.1.4 Development of a Strategy and Treatment of Potential Risk
• 2.1.5 Development and Defining of Activities and Their Objectives
• 2.1.6 Development of an Implementation and Realisation Strategy
• 2.1.7 Review and Evaluation of the Plan
• 2.2 Technical Risk
• 2.3 Risk in Road Traffic
• 2.3.1 Causes of Technical Risk
• 2.3.2 Control of Technical Risk
• 2.4 Standardisation of Safety for Road Vehicles
• 2.4.1 Risk and Integrity Definition from the IEC 61508

• 2.4.2 Risk According to ISO 26262
• 2.5 Critical Infrastructure
• 2.5.1 Organisation for Critical Infrastructure
• 2.5.2 Cloud Computing
• 2.5.3 Transport and Traffic and Critical Infrastructure
• 3 Automation in Mobility
• 3.1 Human Driving: a Closed-Loop Control System
• 3.2 Human Driving
• 3.2.1 Driver's HMI
• 3.2.2 Driver in the Loop
• 3.2.3 Human Driving Journey
• 3.3 Human Control Mechanism
• 3.4 Human Behaviour and Context
• 3.4.1 Observer of the Observer
• 3.4.2 Industry Automation
• 3.4.3 Multiple Contexts for Different Layers of Abstraction

• 3.5 Communication and Interfaces
• 3.6 Human Driver as a Control System
• 3.6.1 Human Communication
• 3.6.2 Human Perception
• 3.6.3 Technical Control System Comparison
• 3.6.4 Control System Architecture in Comparison with the Human Control System
• 3.7 Cyclic Data Processing Versus Distributed Event-Driven Data Processing
• 3.7.1 Distributed Control
• 3.7.2 Configuration of Human Control System
• 3.8 Cybernetics and Control
• 3.8.1 Digital Twin
• 3.8.2 Cybernetics About Behaviour and Control
• 3.8.3 Cybernetics and Sufficiently Perceiving the Environment

The book provides background information about technical solutions, processes and methodology to develop future automated mobility solutions. Beginning from the legal requirements as the minimum tolerable risk level of the society, the book provides state-of-the-art risk-management methodologies. The system engineering approach based on todays engineering best practices enhanced by principles derived from cybernetics. The approach derived from the typical behaviour of a human driver in public road traffic to a cybernetical based system engineering approach. Beyond the system engineering approach, a common behaviour model for the operational domain will show aspects how to extend the system engineering model with principles of cybernetics. The role and the human factors of road traffic participants and drivers of motor vehicles are identified and several viewpoints for different observers show how such mixed traffic scenarios could be assessed and optimised. The influence of the changing mobility demands of the society and the resulting changes to the origination of producer, owner, driver and supplier show aspects for future liability and risk share option for new supply chains. Examples from various industries provide some well-proven engineering principles how to adapt those for the future mobility for the benefit of the users. The aim of the book is to raise awareness that the safety provided by a product, a means of transport or a system up to an entire traffic system depends on the capabilities of the various actors. In addition to the driver and passengers, there are also other road users, maintenance personnel and service providers, who must have certain abilities to act safely in traffic. These are also the capabilities of the organisation, not only the organisation that develops or brings the product to market, but also the organisation that is responsible for the operation and the whole lifecycle of the products. The book is for people who want to get invo lved in the mobility of the future. People, that have ideas to become a player who want to help shape the future mobility of society and who want to bring responsible solutions for users into the market.

• 1. A Comprehensive Introduction to Photometric 3D-Reconstruction.-
• 2. Perspective Shape from Shading an Exposition on Recent Works with New Experiments.-
• 3. RGBD-Fusion: Depth Refinement for Diffuse and Specular Objects.-
• 4. Non-Rigid Structure from Motion and Shading.-
• 5. On the Well-Posedness of Uncalibrated Photometric Stereo Under General Lighting.-
• 6. Recent Progress in Shape from Polarization.-
• 7. Estimating Facial Aging using Light Scattering Photometry.
• (source: Nielsen Book Data)

This book presents the latest advances in photometric 3D reconstruction. It provides the reader with an overview of the state of the art in the field, and of the latest research into both the theoretical foundations of photometric 3D reconstruction and its practical application in several fields (including security, medicine, cultural heritage and archiving, and engineering). These techniques play a crucial role within such emerging technologies as 3D printing, since they permit the direct conversion of an image into a solid object. The book covers both theoretical analysis and real-world applications, highlighting the importance of deepening interdisciplinary skills, and as such will be of interest to both academic researchers and practitioners from the computer vision and mathematical 3D modeling communities, as well as engineers involved in 3D printing. No prior background is required beyond a general knowledge of classical computer vision models, numerical methods for optimization, and partial differential equations. .
(source: Nielsen Book Data)

• Advanced Modelling, Simulation and Data Analytics in Production and Supply Networks.- A Robust Multi-Commodity Rebalancing Process in Humanitarian Logistics.- Towards a unified reliability-centered information logistics model for production assets.- Characterization of energy consumers in production systems with renewable on-site power generation.- A simulation model supporting the production optimization for high-precision machines assembly.- Agent-Based Modeling and Analysis of Dynamic Slab Yard Management in a Steel Factory.- A Simulation Analysis of Part Feeding to Assembly Stations with Vertical Robotic Storage and Retrieval.- Process Mining in Manufacturing: Goals, Techniques and Applications.- Bayesian Modelling for Product Testing and Release.- Advanced, Digital and Smart Manufacturing.- The Use of Organizational Innovation Concepts in Manufacturing Companies.- Systems Engineering Approach to Identify Requirements for Digital Twins Development.- Manufacturing Operations Management for Smart Manufacturing - A Case Study.- Industry 4.0 on demand: a value driven methodology to implement Industry 4.0.- Gamification of Operational Tasks in Manufacturing - A Literature Review.- Technology Adoption in the Industry 4.0 Era: Empirical Evidence from Manufacturing Companies.- Towards the definition of an Impact Level factor of SME features over Digital Transformation.- Industry 4
• .0: maturity of automotive companies in Brazil for the digitization of processes.- General readiness assessment of Industry 4
• .0: Evidence from Serbian manufacturing industry.- Digital and Virtual Quality Management Systems.- Assembly issue resolution system using machine learning in aero engine manufacturing.- Introduction to Material Feeding 4
• .0: strategic, tactical, and operational impact.- Cloud-Manufacturing.- Cycle Time Estimation Model for Hybrid Assembly Stations based on Digital Twin Concept.- Cyber-Physical Production Systems and Digital Twins.- Digital Shadows as an enabler for the internet of production.- The transformation towards smart(er) factories: integration requirements of the digital twin.- IIOT Interoperability.- Towards inter-operable enterprise systems - graph-based validation of a context-driven approach for message profiling.- Supply Chain Planning and Optimization.- Software-based Assistance System for Decision Support on Supply Chain Level.- Integration of triple sustainable management by considering multi-period supply chain for next-generation fuel.- Potential benefits of Reverse Blending in the fertilizer industry.- Effectiveness of Vendor Managed Inventory [VMI] in Explosive Inventory Management.- Value chain integration - a framework for assessment.- A dynamic hybrid Berth Allocation Problem with routing constraints in bulk ports.- Blockchain-based secured collaborative model for supply chain resource sharing and visibility.- Gripper types and components in robotic bin picking.- A stochastic model for a two-level disassembly lot-sizing problem under random lead time.- Digital and Smart Supply Chain Management.- ERP in Industry 4.0 Context.- Identifying the opportunities for enhancing the digital readiness level of the supply chain.- Intelligent Logistics Networks Management.- The Role of Last-Mile Delivery in the Future of E-commerce.- Production-storage and transport integratedplanning for a multi-site mining industry.- Artificial Intelligence and Blockchain Technologies in Logistics and DSN.- Evaluating a Blockchain-based supply chain purchasing process through simulation.- Questionnaire model for paraconsistent quality assessment of software developed in Sales Force.- Novel Production Planning & Control Approaches.- Supporting the Decision of the Order Processing Strategy by using Logistic Models: A Case Study.- Order acceptance and scheduling with a throughput diagram.- Machine Learning and Artificial Intelligence.- Machine Learning-Supported Planning of Lead Times in Job Shop Manufacturing.- Connected, Smart Factories of the Future.- Identifying Key Business Processes that Can Benefit from Industry 4.0 in the Gas Sector, The Public Gas Distribution Networks Case in Greece.- The impact of Industry 4.0 connectivity on the collaboration along Brazilian automotive supply chain.- Manufacturing Systems Engineering: Agile, Flexible, Reconfigurable.- Towards a reference model for configuration of reconfigurable manufacturing system (RMS).- Automatic Design of Dispatching Rules with Genetic Programming for Dynamic Job Shop Scheduling.- A Literature review on the Level of Automation and new approach proposal.- De-risking investments in industrial systems using Real Options Analysis: Case of chemical industry.- Data-driven Replenishment Method Choice in a Picking System.- Business Process Management for Manufacturing Execution System deployment: some lessons from a bearings manufacturer experience.- An Application of a DSML in Industry 4.0 Production Processes.- Towards an Industry-Applicable Design Methodology for Developing Reconfigurable Manufacturing.- Reconfigurable Manufacturing: Lesson Learnt from the COVID-19 Outbreak.- Digital Assistance Systems: Augmented Reality and Virtual Reality.- Virtual and Augmented reality as a digital support to HR systems in production management.- Application of Virtual Reality Technologies for Achieving Energy Efficient Manufacturing: Literature Analysis and Findings.- Smart Products in Smart Manufacturing Systems: An Opportunity to Utilize AR?.- Evaluation of Augmented Reality in Industry.- Circular Products Design and Engineering.- Finding and Capturing Value in e-Waste for Refrigerators Manufacturers and Recyclers.- Circular, Green, Sustainable Manufacturing.- Sustainable Business Model Innovation in Furniture Supply Chain: A Case Study.- A basic study on scheduling method for electric power saving of production machine.- Sustainability in fabric chains and garments for a circular economy.- Planning environments of hospital laboratories: An exploratory study.- Knowledge and practices towards sustainability and circular economy transitions: A Norwegian manufacturing perspective.- A methodology to integrate sustainability evaluations into vendor rating.- Environmental and Social Lifecycle Assessments.- Travel-Times Analysis and Passenger Transport Disutilities in Congested American Cities: Los Angeles, New York, Atlanta, Austin, and Chicago.- Socio-Cultural Aspects in Production Systems.- The interdependencies of Quality Management, Knowledge Management and Innovation Performance. A literature review.- Insights from a top-down lean subprogram deployment in a corporate group: The use of deployment tactics.- Tools for Evaluating Human Factor Aspects in Production and Logistics System.- Economy and its symbiosis with Circularity.- Data-driven Manufacturing and Services Operations Management.- First Steps to the Digital Shadow of Maintenance Services' Value Contribution.- Reshoring of service operations: evidence from a Delphi study.- Digital and physical testbed for production logistics operations.- Principles and Research Agenda for Sustainable, Data-Driven Food Production Planning and Control.- Product-Service Systems in DSN.- Agile guideline for development of smart services in manufacturing enterprises with support of artificial intelligence.- Collaborative Design and Engineering.- Framework for identifying gripper requirements for collaborative applications in manufacturing.- A novel value driven co-creation framework.- Autonomous mobile robots in hospital logistics.- Interorganizational learning in manufacturing industry.
• (source: Nielsen Book Data)

The two-volume set IFIP AICT 591 and 592 constitutes the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2020, held in Novi Sad, Serbia, in August/September 2020.The 164 papers presented were carefully reviewed and selected from 199 submissions. They discuss globally pressing issues in smart manufacturing, operations management, supply chain management, and Industry 4.0. The papers are organized in the following topical sections: Part I: advanced modelling, simulation and data analytics in production and supply networks; advanced, digital and smart manufacturing; digital and virtual quality management systems; cloud-manufacturing; cyber-physical production systems and digital twins; IIOT interoperability; supply chain planning and optimization; digital and smart supply chain management; intelligent logistics networks management; artificial intelligence and blockchain technologies in logistics and DSN; novel production planning and control approaches; machine learning and artificial intelligence; connected, smart factories of the future; manufacturing systems engineering: agile, flexible, reconfigurable; digital assistance systems: augmented reality and virtual reality; circular products design and engineering; circular, green, sustainable manufacturing; environmental and social lifecycle assessments; socio-cultural aspects in production systems; data-driven manufacturing and services operations management; product-service systems in DSN; and collaborative design and engineering Part II: the Operator 4.0: new physical and cognitive evolutionary paths; digital transformation approaches in production management; digital transformation for more sustainable supply chains; data-driven applications in smart manufacturing and logistics systems; data-driven services: characteristics, trends and applications; the future of lean thinking and practice; digital lean manufacturing and its emerging practices; new reconfigurable, flexible or agile production systems in the era of industry 4.0; operations management in engineer-to-order manufacturing; production management in food supply chains; gastronomic service system design; product and asset life cycle management in the circular economy; and production ramp-up strategies for product.
(source: Nielsen Book Data)

• The Operator 4
• .0: New Physical and Cognitive Evolutionary Paths.- Facilitating Operator Participation in Continuous Improvement: An Investigation of Organizational Factors.- Improving the Safety of Using Didactic Setups by Augmented Reality.- Production Management as-a-Service: A Softbot Approach.- Knowledge Strategies for Organisation 4.0.- Challenges for the Operator 3.0 Addressed Through the Enabling Technologies of the Operator 4.0.- Agent- and Skill-based Process Interoperability for Socio-Technical Production Systems-of-Systems.- Digital Transformation Approaches in Production Management.- Challenges in Data Life Cycle Management for Sustainable Cyber-Physical Production Systems.- Explainable AI in Manufacturing: A Predictive Maintenance Case Study.- Retrofit Concept for Textile Production.- Organizational enablers for digitalization in manufacturing industry.- Concept of PLM application integration with VR and AR techniques.- The big potential of Big Data in manufacturing: evidence from emerging economies.- A conceptual model for deploying digitalization in SMEs through capability building.- The Potential of Game Development Platforms for Digital Twins and Virtual Labs: Case Study of an Energy.- The Application of ICT Software Solutions in Manufacturing Sector in Serbia.- Achieving Business Model Innovation with the Personalized Product Business Model Radar Template.- Integrating electronic components into 3D printed parts to develop a digital manufacturing approach.- Digital transformation and its potential effects on future management: Insights from an ETO context.- Applying contextualization for data-driven transformation in manufacturing.- Digital Transformation for more Sustainable Supply Chains.- Smart contract-based blockchain solution to reduce supply chain risks.- Towards sustainability: The manufacturers' perspective.- Data-Driven Applications in Smart Manufacturing and Logistics Systems.- Smart Factory Competitiveness based on real time Monitoring and Quality predictive model applied to multi-stages Production lines.- A New Application of Coordination Contracts for Supplier Selection in a Cloud Environment.- Workforce Assignment with a Different Skill Level for Automotive Parts Assembly Lines.- A framework of data-driven dynamic optimisation for smart production logistics.- Decentralized Industrial IoT Data Management Based on Blockchain and IPFS.- Integrated Platform and Digital Twin Application for Global Automotive Part Suppliers.- Analyzing the Characteristics of Digital Twin and Discrete Event Simulation in Cyber Physical Systems.- Streaming Analytics in Edge-Cloud Environment for Logistics Processes.- An Improvement in Master Surgical Scheduling using Artificial Neural Network and Fuzzy Programming.- SKOS Tool: A Tool for Creating Knowledge Graphs to Support Semantic Text Classification.- Data-Driven Services: Characteristics, Trends and Applications.- The successful commercialization of a digital twin in an industrial product service system.- Using Service Dominant logic to assess the value co-creation of Smart Services.- Engineering of data-driven Service Systems for Smart Living: Application and Challenges.- The role of service business models in the manufacturing of transition economies.- System architecture analysis with network index in MBSE approach -Application to smart interactive service with digital health modeling.- The Data-Driven Product-Service Systems Design and Delivery (4DPSS) methodology.- Data-driven maintenance delivery framework: test in an Italian company.- Towards a Comparative Data Value Assessment Framework for Smart Product Service Systems.- Impact of platform openness on ecosystems and value streams in Platform-based PSS exemplified using RAMI 4.0.- Industry 4.0 data-related technologies and servitization: a systematic literature review.- A framework to support value co-creation in PSS development.- The Future of Lean Thinking and Practice.- Utilizing Lean Thinking as a Means to Digital Transformation in Service Organizations.- On the Need of Functional Priority and Failure Risk Assessment to Optimize Human Resource Allocation in Public Service Organizations.- Assessing the Value of Process Improvement Suggestions.- On the Necessity for Identifying Waste in Knowledge Work Dominated Projects: A Case Study from Oil and Gas-Related Product Development Projects.- Lean Thinking: from the shop floor to an organizational culture.- Digital Lean Manufacturing and its Emerging Practices.- A Learning Roadmap for Digital Lean Manufacturing.- Investigating the Challenges and Opportunities for Production Planning and Control in Digital Lean Manufacturing.- New Forms of Gemba Walks and their Digital Tools in the Digital Lean Manufacturing World.- New Reconfigurable, Flexible or Agile Production Systems in the Era of Industry 4.0.- A computational method for identifying the optimum buffer size in the era of Zero Defect Manufacturing.- A Bi-objective Scheduling Model for Additive Manufacturing with Multiple Materials and Sequence-dependent Setup Time.- Dynamic Distributed Job-Shop Scheduling Problem Consisting of Reconfigurable Machine Tools.- Towards a Non-Disruptive System for Dynamic Orchestration of the Shop Floor.- Assembly process design: performance evaluation under ergonomics consideration using several robot collaboration modes.- A Method of Distributed Production Management for Highly-Distributed Flexible Job Shops.- A Digital Twin modular framework for Reconfigurable Manufacturing Systems.- Reconfigurable Digitalized and Servitized Production Systems: Requirements and Challenges.- The impact of dynamic tasks assignment in paced mixed-model assembly line with moving workers.- Balancing and configuration planning of RMS to minimize energy cost.- Operations Management in Engineer-to-Order Manufacturing.- Factors affecting shipyard operations and logistics: A framework and comparison of shipbuilding approaches.- Using the Smartphone as an Augmented Reality Device in ETO Industry.- Exploring the Path Towards Construction 4
• .0: Collaborative Networks & Enterprise Architecture Views.- The Potential for Purchasing function to Enhance Circular Economy Business Models for ETO production.- Planning procurement activities in ETO projects.- Maturity model for successful cost transformation in ETO companies.- Backlog Oriented Bottleneck Management - Practical Guide for Production Managers.- Cross-functional coordination before and after the CODP: an empirical study in the machinery industry.- Production Management in Food Supply Chains.- Food Bank: A Proposal for Short Agri-Food Chains.- The New Frontiers in World Soybean Production: An Analysis of Savanna in Piaui, Brazil.- Prediction of cold chain transport conditions using data mining.- Environmental impact classification of perishable on-road transport using data mining.- Economic and Environmental Perfomance in Coffee Supply Chains: A Brazilian Case Study.- Managing Perishable Multi-Product Inventory with Supplier Fill-Rate, Price Reduction and Substitution.- Digital Technology Enablers for Resilient and Customer Driven Food Value Chains.- Gastronomic Service System Design.- Human-Robot Hybrid Service System Introduction for Enhancing Labor and Robot Productivity.- Forecasting Customers Visiting using Machine Learning and Characteristics Analysis with Low Forecasting Accuracy Days.- A study on menu planning method for managed meal -Consideration of the cost of ordering ingredients.- Service system design considering employee satisfaction.- Product and Asset Life Cycle Management in the Circular Economy.- Exploring synergies between Circular Economy and Asset Management.- Information flows supporting Circular Economy adoption in the manufacturing sector.- A conceptual model of the IT ecosystem for Asset Management in the global manufacturing context.- Production Ramp-up Strategies for Product.- Part Selection for Freeform Injection Molding: framework for development of a unique methodology.- A Model for Cost-Benefit Analysis of Production Ramp-up Strategies.- Key factors on utilizing the production system design phase for increasing operational performance.- Business Model Development for a Dynamic Production Network Platform.- Changeable Closed-Loop Manufacturing Systems: A Case Study of Challenges in Product Take-Back.
• (source: Nielsen Book Data)

The two-volume set IFIP AICT 591 and 592 constitutes the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2020, held in Novi Sad, Serbia, in August/September 2020. The 164 papers presented were carefully reviewed and selected from 199 submissions. They discuss globally pressing issues in smart manufacturing, operations management, supply chain management, and Industry 4.0. The papers are organized in the following topical sections: Part I: advanced modelling, simulation and data analytics in production and supply networks; advanced, digital and smart manufacturing; digital and virtual quality management systems; cloud-manufacturing; cyber-physical production systems and digital twins; IIOT interoperability; supply chain planning and optimization; digital and smart supply chain management; intelligent logistics networks management; artificial intelligence and blockchain technologies in logistics and DSN; novel production planning and control approaches; machine learning and artificial intelligence; connected, smart factories of the future; manufacturing systems engineering: agile, flexible, reconfigurable; digital assistance systems: augmented reality and virtual reality; circular products design and engineering; circular, green, sustainable manufacturing; environmental and social lifecycle assessments; socio-cultural aspects in production systems; data-driven manufacturing and services operations management; product-service systems in DSN; and collaborative design and engineering Part II: the Operator 4.0: new physical and cognitive evolutionary paths; digital transformation approaches in production management; digital transformation for more sustainable supply chains; data-driven applications in smart manufacturing and logistics systems; data-driven services: characteristics, trends and applications; the future of lean thinking and practice; digital lean manufacturing and its emerging practices; new reconfigurable, flexible or agile production systems in the era of industry 4.0; operations management in engineer-to-order manufacturing; production management in food supply chains; gastronomic service system design; product and asset life cycle management in the circular economy; and production ramp-up strategies for product.
(source: Nielsen Book Data)

• Deep Learning Methods for Image Guidance in Radiation Therapy Intentional Image Similarity Search.- Sttructured (De)composable Representations Trained with Neural Networks.- Long Distance Relationships without Time Travel: Boosting the Performance of a Sparse Predictive Autoencoder in Sequence Modeling.- Improving Accuracy and Efficiency of Object Detection Algorithms using Multiscale Feature Aggregation Plugins.- Abstract Echo State Networks.- Minimal Complexity Support Vector Machines.- Named Entity Disambiguation at Scale.- Geometric Attention for Prediction of Differential Properties in 3D Point Clouds.- How (Not) to Measure Bias in Face Recognition Networks.-Feature Extraction: A Time Window Analysis based on the X-ITE Pain Database.- Pain Intensity Recognition - An Analysis of Short-Time Sequences in a Real-World Scenario.- A deep learning approach for efficient registration of dual view mammography.- Deep Transfer Learning for Texture Classification in Colorectal Cancer Histology.- Applications of Generative Adversarial Networks to Dermatologic Imaging.- Typing Plasmids with Distributed Sequence Representation.- KP-YOLO: a modification of YOLO algorithm for the keypoint-based detection of QR Codes.- Using Mask R-CNN for Image-Based Wear Classification of Solid Carbide Milling and Drilling Tools.- A Hybrid Deep Learning Approach For Forecasting Air Temperature.- Using CNNs to optimize numerical simulations in geotechnical engineering.- Going for 2D or 3D? Investigating various Machine Learning Approaches for Peach Variety Identification.- A Transfer Learning End-to-End Arabic Text-To-Speech (TTS) Deep Architecture.- ML-Based Trading Models: An investigation during COVID-19 pandemic crisis.- iNNvestigate-GUI - Explaining Neural Networks Through an Interactive Visualization Tool.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 9th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2020, held in Winterthur, Switzerland, in September 2020. The conference was held virtually due to the COVID-19 pandemic. The 22 revised full papers presented were carefully reviewed and selected from 34 submissions. The papers present and discuss the latest research in all areas of neural network-and machine learning-based pattern recognition. They are organized in two sections: learning algorithms and architectures, and applications.
(source: Nielsen Book Data)

• Part 1: Preparing for the Future of Work
• Chapter 1: Will Robots Replace You?
• Chapter 2: Technology Definitions
• Part 2: Robots are Working
• Chapter 3: Robotic Process Automation
• Chapter 4: Robots in Teams
• Chapter 5: Robots Without Arms
• Part 3: Making Sense for Robots and Society
• Chapter 6: Robots in a World of Data
• Chapter 7: Robots in Society
• Chapter 8: Work in the Future.

Understand the current and future research into technologies that underpin the increasing capabilities of automation technologies and their impact on the working world of the future. Rapid advances in automation and robotics technologies are often reported in the trade and general media, often relying on scary headlines such as "Jobs Lost to Robots." It is certainly true that work will change with the advent of smarter and faster automated workers; however, the scope and scale of the changes is still unknown. Automation may seem to be here already, but we are only at the early stages. Automation and Collaborative Robotics explores the output of current research projects that are improving the building blocks of an automated world. Research into collaborative robotics (cobotics) is merging digital, audio, and visual data to generate a commonly held view between cobots and their human collaborators. Low-power machine learning at the edge of the network can deliver decision making on cobots or to their manipulations. Topics covered in this book include: Robotic process automation, chatbots, and their impact in the near future The hype of automation and headlines leading to concerns over the future of work Component technologies that are still in the research labs Foundational technologies and collaboration that will enable many tasks to be automated with human workers being re-skilled and displaced rather than replaced What You Will Learn Be aware of the technologies currently being researched to improve or deliver automation Understand the impact of robotics, other automation technologies, and the impact of AI on automation Get an idea of how far we are from implementation of an automated future Know what work will look like in the future with the deployment of these technologies Who This Book Is For Technical and business managers interested in the future of automation and robotics, and the impact it will have on their organizations, customers, and the business world in general.
(source: Nielsen Book Data)

• Conversational Agents in Healthcare: Using QCA to Explain Patients Resistance to Chatbots for Medication
• An Approach for Ex-Post-Facto Analysis of Knowledge Graph-Driven Chatbots
• the DBpedia Chatbot
• Privacy Concerns in Chatbot Interactions
• Creating Humanlike Chatbots: What Chatbot Developers Could Learn from Webcare Employees in Adopting a Conversational Human Voice
• The Conversational Agent "Emoty" Perceived by People with Neurodevelopmental Disorders: Is It a Human or a Machine
• Gender Bias in Chatbot Design
• Conversational Web Interaction: Proposal of a Dialog-Based Natural Language Interaction Paradigm for the Web
• Designing Chatbots for Guiding Online Peer Support Conversations for Adults with ADHD
• Towards Chatbots to Support Bibliotherapy Preparation and Delivery
• CivicBots
• Chatbots for Supporting Youth in Societal Participation
• Using Theory of Mind to Assess Users Sense of Agency in Social Chatbots
• Exploring Age Differences in Motivations for and Acceptance of Chatbot Communication in a Customer Service Context
• Improving Conversations: Lessons Learnt from Manual Analysis of Chatbot Dialogues
• Conversational Repair in Chatbots for Customer Service: The Effect of Expressing Uncertainty and Suggesting Alternatives
• Working Together with Conversational Agents: The Relationship of Perceived Cooperation with Service Performance Evaluation
• Chatbots for the Information Acquisition at Universities
• A Students View on the Application Area
• A Configurable Agent to Advance Peers Productive Dialogue in MOOCs
• Small Talk Conversations and the Long-Term Use of Chatbots in Educational Settings
• Experiences from a Field Study.

This book constitutes the refereed proceedings of the Third International Workshop on Chatbot Research and Design, CONVERSATIONS 2019, held in Amsterdam, The Netherlands, in November 2019. The 18 revised full papers presented in this volume were carefully reviewed and selected from 31 submissions. The papers are grouped in the following topical sections: user and communication studies user experience and design, chatbots for collaboration, chatbots for customer service, and chatbots in education.

• Facial Age Estimation Using Compact Facial Features.- A Vision Based Hardware-Software Real-Time Control System for the Autonomous Landing of an UAV.- Exploration of Ear Biometrics with Deep Learning.- Does Randomness in the Random Visual Cryptography Protocol Depend on the Period of Pseudorandom Number Generators.- Software for CT-Image Analysis to Assist the Choice of Mechanical-Ventilation Settings in Acute Respiratory Distress Syndrome.- Edge-Aware Color Image Manipulation by Combination of Low-pass Linear Filter and Morphological Processing of its Residuals.- On the Effect of DCE MRI Slice Thickness and Noise on Estimated Pharmacokinetic Biomarkers a Simulation Study.- A New Sport Teams Logo Dataset for Detection Tasks.- Scene Recognition Using AlexNet to Recognize Significant Events within Cricket Game Footage.- Biologically Inspired Modelling of Flowers.- Tuberculosis Abnormality Detection in Chest X-Rays: A Deep Learning Approach.- Dynamic Local Ternary Patterns for Gender Identification using Facial Components.- Depth Perception Tendencies in the 3-D Environment of Virtual Reality.- Optimisation of a Siamese Neural Network for Real-Time Energy Efficient Object Tracking.- Nuclei Detection with Local Threshold Processing in DAB&H Stained Breast Cancer Biopsy Images.- Video Footage Highlight Detection in Formula 1 Through Vehicle Recognition with Faster R-CNN Trained On Game Footage.- Performance Evaluation of Selected Detector-Descriptor Combinations.- Watermarking Method for Video Authentication with Tamper Localization.- RGB-D and Lidar Calibration Supported by GPU.- Video-Surveillance Tools for Monitoring Social Responsibility Under Covid-19 Restrictions.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the International Conference on Computer Vision and Graphics, ICCVG 2020, held in Warsaw, Poland, in September 2020. The 20 full papers were selected from 49 submissions. The contributions cover topics such as: modelling of human visual perception; computational geometry; geometrical models of objects and scenes; illumination and reflection models and methods; image formation; image and video coding; image filtering and enhancement; biomedical image processing; biomedical graphics; colour image processing; multispectral image processing; pattern recognition in image processing; scene understanding; motion analysis, visual navigation and active vision; human motion detection and analysis; visualisation and graphical data presentation; hardware and architectures for image processing; computer-aided graphic design; 3D imaging, shading and rendering; computer animation; graphics for internet and mobile systems; virtual reality; image and video databases; digital watermarking; multimedia applications; and computer art. Due to the Corona pandemic ICCVG 2020 was held as a virtual event.
(source: Nielsen Book Data)

• Character and text recognition.- Document image processing.- Segmentation and layout analysis.- Word embedding and spotting.- Text detection.- Font design and classification.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 14th IAPR International Workshop on Document Analysis Systems, DAS 2020, held in Wuhan, China, in July 2020. The 40 full papers presented in this book were carefully reviewed and selected from 57 submissions. The papers are grouped in the following topical sections: character and text recognition; document image processing; segmentation and layout analysis; word embedding and spotting; text detection; and font design and classification. Due to the Corona pandemic the conference was held as a virtual event .
(source: Nielsen Book Data)

• Real time Implementation of Articial Neural Network in FPGA Platform.- Design of a 0,18um CMOS Inductor - based Bandpass Microwave Active Filter.- Improvement of the Authentication on in-Vehicle Controller Area Networks.- Comparative Evaluation of Speech Recognition systems Based on Different Toolkits.- Stability Analysis and H Performance for Nonlinear Fuzzy Networked Control Systems with Time-Varying Delay.- Driver Behavior assistance in Road Intersections.- Performance of CE-OFDM System over AWGN and Frequency-Selective Channels.- Towards a Dynamical Adaptive Finite Volume Core for Urban Flow Simulations.- An Efficiency Study of Adaptive Median Filtering for Image Denoising, Based on A Hardware Implementation.- Processing Time and Computing Resources Optimization in a Mobile Edge Computing Node.- Viscous Dissipation and Heat Source/Sink Effects on Convection Heat Transfer in a Saturated Porous Medium.- Fast and Efficient Decoding Algorithm Developed From Concatenation between A Symbol-By-Symbol Decoder and A Decoder Based On Syndrome Computing and Hash Techniques.- SWIMAC: An Ultra-Low Power Consumption MAC Protocol for IR-UWB based WSN.- An Optimal Design of a Short-Channel RF Low Noise Amplifier Using a Swarm Intelligence Techniques.
• (source: Nielsen Book Data)

• 4 Conclusion
• References
• Design of a 0.18 μm CMOS Inductor-Based Bandpass Microwave Active Filter
• 1 Introduction
• 2 Synthesis of a Grounded CMOS Active Inductor
• 3 Procedure of Designing Chebyshev Microwave Bandpass Filters
• 4 Example of a Third-Order Chebyshev Bandpass Filter
• 5 Conclusion
• References
• Improvement of the Authentication on In-Vehicle Controller Area Networks
• 1 Introduction
• 2 Development of an Authentication Method
• 2.1 Principles
• 2.2 Current Technique
• 2.3 Proposed Improvements
• 3 Hash Algorithm
• 4 Conclusion
• References

This book gathers selected research papers presented at the First International Conference on Embedded Systems and Artificial Intelligence (ESAI 2019), held at Sidi Mohamed Ben Abdellah University, Fez, Morocco, on 2-3 May 2019. Highlighting the latest innovations in Computer Science, Artificial Intelligence, Information Technologies, and Embedded Systems, the respective papers will encourage and inspire researchers, industry professionals, and policymakers to put these methods into practice.
(source: Nielsen Book Data)

• Network and Computing Technologies
• Wireless Networks and Internet of Things (IoT)
• Futuristic Computing Technologies
• Communication Technologies, Security and Privacy.

This book constitutes the refereed proceedings of the Second International Conference on Futuristic Trends in Network and Communication Technologies, FTNCT 2019, held in Chandigarh, India, in November 2019. The 49 revised full papers and 6 short papers presented were carefully reviewed and selected from 226 submissions. The prime aim of the conference is to invite researchers from different domains of network and communication technologies to a single platform to showcase their research ideas. The selected papers are organized in topical sections on network and computing technologies; wireless networks and Internet of Things (IoT); futuristic computing technologies; communication technologies, security and privacy.

• 1. Introduction.-
• 2. Machine Learning Methods for Spatial and Temporal Parameter Estimation.-
• 3. Deep Learning for Hyperspectral Image Analysis, Part I: Theory and Algorithms.-
• 4. Deep Learning for Hyperspectral Image Analysis, Part II: Applications to Remote Sensing and Biomedicine.-
• 5. Advances in Deep Learning for Hyperspectral Image Analysis - Addressing Challenges Arising in Practical Imaging Scenarios.-
• 6. Addressing the Inevitable Imprecision: Multiple Instance Learning for Hyperspectral Image Analysis.-
• 7. Supervised, Semi Supervised and Unsupervised Learning for Hyperspectral Regression.-
• 8. Sparsity-based Methods for Classification.-
• 9. Multiple Kernel Learning for Hyperspectral Image Classification.-
• 10. Low Dimensional Manifold Model in Hyperspectral Image Reconstruction.-
• 11. Deep Sprase Band Selection for Hyperspectral Face Recognition.-
• 12. Detection of Large-Scale and Anomalous Changes.-
• 13. Recent Advances in Hyperspectral Unmixing Using Sparse Techniques and Deep Learning.-
• 14. Chapter Hyperspectral-Multispectral Image Fusion Enhancement Based on Deep Learning.-
• 15. Automatic Target Detection for Sparse Hyperspectral Images.
• (source: Nielsen Book Data)

This book reviews the state of the art in algorithmic approaches addressing the practical challenges that arise with hyperspectral image analysis tasks, with a focus on emerging trends in machine learning and image processing/understanding. It presents advances in deep learning, multiple instance learning, sparse representation based learning, low-dimensional manifold models, anomalous change detection, target recognition, sensor fusion and super-resolution for robust multispectral and hyperspectral image understanding. It presents research from leading international experts who have made foundational contributions in these areas. The book covers a diverse array of applications of multispectral/hyperspectral imagery in the context of these algorithms, including remote sensing, face recognition and biomedicine. This book would be particularly beneficial to graduate students and researchers who are taking advanced courses in (or are working in) the areas of image analysis, machine learning and remote sensing with multi-channel optical imagery. Researchers and professionals in academia and industry working in areas such as electrical engineering, civil and environmental engineering, geosciences and biomedical image processing, who work with multi-channel optical data will find this book useful. .
(source: Nielsen Book Data)

• Machine Learning
• Medical Image and Analysis
• Analysis of Histopathology Images
• Diagnosis and Screening of Ophthalmic Diseases
• Grand Challenge on Automatic Lung Cancer Patient Management.

This two-volume set LNCS 12131 and LNCS 12132 constitutes the refereed proceedings of the 17th International Conference on Image Analysis and Recognition, ICIAR 2020, held in Póvoa de Varzim, Portugal, in June 2020. The 54 full papers presented together with 15 short papers were carefully reviewed and selected from 123 submissions. The papers are organized in the following topical sections: image processing and analysis; video analysis; computer vision; 3D computer vision; machine learning; medical image and analysis; analysis of histopathology images; diagnosis and screening of ophthalmic diseases; and grand challenge on automatic lung cancer patient management. Due to the corona pandemic, ICIAR 2020 was held virtually only.

• Chapter 1. Introduction.-
• Chapter 2. Sparse Linear Model.-
• Chapter 3. Blind Demixing.-
• Chapter 4. Sparse Blind Demixing.-
• Chapter 5. Shuffled Linear Regression.-
• Chapter 6. Learning Augmented Methods.-
• Chapter 7. Conclusions and Discussions.-
• Chapter 8. Appendix. .
• (source: Nielsen Book Data)

• 4.5.1 Optimization on Product Manifolds
• 4.5.2 Smoothed Riemannian Optimization
• 4.5.3 Simulation Results
• 4.6 Summary
• References
• 5 Shuffled Linear Regression
• 5.1 Joint Data Decoding and Device Identification
• 5.2 Problem Formulation
• 5.3 Maximum Likelihood Estimation Based Approaches
• 5.3.1 Sorting Based Algorithms
• 5.3.2 Approximation Algorithm
• 5.4 Algebraic-Geometric Approach
• 5.4.1 Eliminating Π via Symmetric Polynomials
• 5.4.2 Theoretical Analysis
• 5.4.2.1 Exact Data
• 5.4.2.2 Corrupted Data
• 5.4.3 Algebraically Initialized Expectation-Maximization

The recent developments in wireless communications, networking, and embedded systems have driven various innovative Internet of Things (IoT) applications, e.g., smart cities, mobile healthcare, autonomous driving and drones. A common feature of these applications is the stringent requirements for low-latency communications. Considering the typical small payload size of IoT applications, it is of critical importance to reduce the size of the overhead message, e.g., identification information, pilot symbols for channel estimation, and control data. Such low-overhead communications also help to improve the energy efficiency of IoT devices. Recently, structured signal processing techniques have been introduced and developed to reduce the overheads for key design problems in IoT networks, such as channel estimation, device identification, and message decoding. By utilizing underlying system structures, including sparsity and low rank, these methods can achieve significant performance gains. This book provides an overview of four general structured signal processing models: a sparse linear model, a blind demixing model, a sparse blind demixing model, and a shuffled linear model, and discusses their applications in enabling low-overhead communications in IoT networks. Further, it presents practical algorithms based on both convex and nonconvex optimization approaches, as well as theoretical analyses that use various mathematical tools.
(source: Nielsen Book Data)

• Pattern Recognition Techniques.- Image Processing and Analysis.- Computer Vision.- Industrial and Medical Applications of Pattern Recognition.- Natural Language Processing and Recognition.- Artificial Intelligence Techniques and Recognition.
• (source: Nielsen Book Data)

This book constitutes the proceedings of the 12th Mexican Conference on Pattern Recognition, MCPR 2020, which was due to be held in Morelia, Mexico, in June 2020. The conference was held virtually due to the COVID-19 pandemic. The 31 papers presented in this volume were carefully reviewed and selected from 67 submissions. They were organized in the following topical sections: pattern recognition techniques; image processing and analysis; computer vision; industrial and medical applications of pattern recognition; natural language processing and recognition; artificial intelligence techniques and recognition.
(source: Nielsen Book Data)