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• Quantum Algorithms for Trust-Based AI Applications
• Energy-Saving Multi-Version Timestamp Ordering Algorithm for Virtual Machine Environments
• Towards a Blockchain-based Crowdsourcing Method for Robotic Ontology Evolution
• Performance Evaluation of DTAG-based Recovery Method for DTN Considering a Real Urban RoadModel
• An Energy-aware Dynamic Algorithm for Changing Tree Structure and Process Migration in the Flexible Tree-based Fog Computing Model
• A CCM, SA and FDTD Based Mesh Router Placement Optimization in WMN
• Design of Communication Protocol for Virtual Power Plant System in Distribute Environment
• Fine-tuning VGG16 for Alzheimer's Disease Diagnosis
• Solving University Course Scheduling with Varied Constraints Using Integer Linear Programming
• A Novel hybrid Model based on CNN and Bi-LSTM for Arabic Multi-Domain Sentiment Analysis
• A Cost-Sensitive Ensemble Model for e-Commerce Customer Behavior Prediction with WeightedSVM
• Design and Performance Evaluation of a Fuzzy-based System for Assessment of Emotional Trust
• Comparing Sampling Strategies for the Classification of Bi-Objective Problems by FLACCO Features
• Efficient FPGA Implementation of a Convolutional Neural Network for Surgical Image Segmentation Focusing on Recursive Structure
• A Mobile-Oriented GPU Implementation of a Convolutional Neural Network for Object Detection

This book aims to deliver a platform of scientific interaction between the three interwoven challenging areas of research and development of future ICT-enabled applications: software intensive systems, complex systems and intelligent systems. Software intensive systems are systems, which heavily interact with other systems, sensors, actuators, devices, other software systems and users. More and more domains are involved with software intensive systems, e.g., automotive, telecommunication systems, embedded systems in general, industrial automation systems and business applications. Moreover, the outcome of web services delivers a new platform for enabling software intensive systems. Complex systems research is focused on the overall understanding of systems rather than its components. Complex systems are very much characterized by the changing environments in which they act by their multiple internal and external interactions. They evolve and adapt through internal and external dynamic interactions. The development of intelligent systems and agents, which is each time more characterized by the use of ontologies and their logical foundations, builds a fruitful impulse for both software intensive systems and complex systems. Recent research in the field of intelligent systems, robotics, neuroscience, artificial intelligence and cognitive sciences are very important factor for the future development and innovation of software intensive and complex systems

• Accelerating Operations on Permutations Using Graphics Processing Units
• Machine Learning Technique Based on Gaussian Mixture Model for Environment Friendly Communications
• Applying a Combined Approach to Modeling of Software Functioning
• Impact of Closed Ukrainian Airspace on Global Air Transport System
• Analysis of Approach Attitude for the Evaluation of the Quality of Pilot Training
• Solving Multimodal Transport Problems Using Algebraic Approach
• Numerical Analysis of the Stress-Strain State of Combined Steel and Concrete Structures
• Intellectual Control of Mechanical Characteristics of Optical Products
• Combined Method of Solving Time Management Tasks and Its Implementation in the Decision Support System
• Development of the Concept of Intelligent Add-On over Project Planning Instruments
• Self-Organization of the Table Tennis Market Information Bank Based on Neural Networks
• A Method for Reliable Permutation Transmission in Short-Packet Communication Systems
• Intelligent Signal Measurement Technique for Spread Spectrum Software Defined Cognitive Radio Systems
• Optimal Structure Construction of Private 5G Network for the Needs of Enterprises
• Linked List Systems for System Logs Protection from Cyberattacks
• Information Flows Formalization for BSD Family Operating Systems Security Against Unauthorized Investigation

This book gathers selected high-quality full-text papers presented at the VI International Scientific and Practical Conference on Information Technology for Education, Science and Technics (ITEST 2022). The book deals with issues related to mathematical and computer modeling of physical, chemical, and economic processes, with information security, as well as the use of information and communication technology in scientific research, automation of technological processes, and management of complex systems. In this book, the authors explore various aspects of the development of information technology and systems and its application in education, science, engineering, economics, and management. A part of the book is devoted to the application of information and communication technology in higher education, in particular, the creation and implementation of scientific and educational resources in higher education institutions as part of the process of education digital transformation

• An Enhanced AI-based Vehicular Driver Support System Considering Hyperparameter Optimization
• An AOI-based Surface Painting Equipment
• An Aircraft Assembly System Based on Improved YOLOv5
• Hyperparameter Tuning and Comparison Analysis of the DNN Model to Predict Wireless Network Conditions of Live Video Services
• A Soldering Motion Analysis System for Monitoring Whole Body of People with Developmental Disabilities
• A Fuzzy Theory Based Attitude Control for Takeoff of Quadrotor
• A New Method for Improving Cache Hit Ratio by Utilizing Near Network Cache on NDN
• An Analysis of Theoretical Network Communication Speedup Using Multiple Fungible Paths
• Universal Intrusion Detection System on In-vehicle Network
• The Comparison of Machine Learning Methods for Email Spam Detection
• A Lightweight Intrusion Detection System on In-vehicle Network Using PolynomialFeatures
• Fuzz Testing and Safe Framework Development for Vehicle Security Analysis
• Advanced Mathematics Curriculum Reform Based on Nine Screen Method and CDIO Educational Concept
• Proposal of a Music Auditioning Application using Music Compact Disk Jacket as Augmented Reality Marker

This book provides latest research findings, methods and development techniques, challenges and solutions from both theoretical and practical perspectives related to Ubiquitous and Pervasive Computing (UPC) with an emphasis on innovative, mobile and internet services. With the proliferation of wireless technologies and electronic devices, there is a fast-growing interest in UPC, which enables to create a human-oriented computing environment where computer chips are embedded in everyday objects and interact with the physical world. Through UPC, people can be online even while moving around, thus having almost permanent access to their preferred services. With a great potential to revolutionize our lives, UPC also poses new research challenges

• TOPSIS Model Establishment in the Context of Internet Finance
• An Analysis of Internet Financial Risk Prevention Strategies from the Perspective of Network Security
• Prediction of Transaction Risk in Financial Market Based on Neural Network Model
• Intelligent Business Model Data Analysis Based on Particle Swarm Optimization
• Multi-dimensional Data Perception and Intelligent Analysis Framework Design of Management Information System
• Resource Transaction Management System Based on PageRank Algorithm
• Research on Intelligent Student Management Evaluation Information System Based on Data Mining Algorithm
• Purchasing Management System Based on Genetic Algorithm
• Credit Risk Prediction Model of Digital Rural Finance Based on PSO-SVM
• Cache High Availability Intelligent Stall Management System Based on Redis Sentinel Mechanism Architecture
• The Application of BIM Technology in the Construction of Project Construction Management Platform
• Innovation of Financing Mode for Small and Micro Enterprises on Digital Finance Technology Algorithm
• Coal Energy Management Estimation System Based on Artificial Intelligence Algorithm
• Establishment of Enterprise Management Information System Based on Big Data Information Technology
• Application Analysis of Intelligent Information Technology in Transaction Management System
• Design of Management Cloud Information System for Residential Buildings Based on High-Performance Computing and Face Recognition Technology
• Development of Student Management System Based on WeChat Public Platform
• Application of Artificial Intelligence Technology in Human Resource Delicacy Management System
• Application of Data Mining Technology (DMT) in Human Resources Assessment Management System.

This book presents innovative ideas, cutting-edge findings, and novel techniques, methods, and applications in a broad range of cybersecurity and cyberthreat intelligence areas. As our society becomes smarter, there is a corresponding need to secure our cyberfuture. The book describes approaches and findings that are of interest to business professionals and governments seeking to secure our data and underpin infrastructures, as well as to individual users.

• AI Chatbots for Banking: Evolving Trends and Critical Issues
• Traffic Flow Characteristics and Vehicle Road Coordination Improvement in Subterranean Interweaving
• Influential Factors and Implementation Path of Talent Digital Evaluation based on ISM Model: Taking Electric Power Enterprises as an Example
• Knowledge Associated with a Question-Answer Pair
• Research on Low Complexity Differential Space Modulation Detection Algorithm
• Mathematical Model of the Process of Production of Mineral Fertilizers in a Fluidized Bed Granulator
• Simulation Study on Optimization of Passenger Flow Transfer Organization at Nanning Jinhu Square Metro Station based on Anylogic
• Engine Speed Measurement and Control System Design Based on LabVIEW
• Research and Design of Personalized Learning Resources Precise Recommendation System Based on User Profile
• Mixed Parametric and Auto-oscillations at Nonlinear Parametric Excitation
• Spectrum Analysis on Electricity Consumption Periods by Industry in Fujian Province
• Determination of the Form of Vibrations in Vibratory Plow's Moldboard with Piezoceramic Actuator for Maximum Vibration Effect
• Evaluating Usability of E-Learning Applications in Bangladesh: A Semiotic and Heuristic Evaluation Approach
• Perceptual Computing Based Framework for Assessing Organizational Performance According to Industry 5.0 Paradigm
• Petroleum Drilling Monitoring and Optimization: Ranking the Rate of Penetration using Machine Learning Algorithms

This book comprises high-quality refereed research papers presented at the 3rd International Conference on Artificial Intelligence and Logistics Engineering (ICAILE2023), held in Wuhan, China, on March 11-12, 2023, organized jointly by Wuhan University of Technology, Nanning University, the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Huazhong University of Science and Technology, the Polish Operational and Systems Society, Wuhan Technology and Business University, and the International Research Association of Modern Education and Computer Science. The topics discussed in the book include state-of-the-art papers in artificial intelligence and logistics engineering. It is an excellent source of references for researchers, graduate students, engineers, management practitioners, and undergraduate students interested in artificial intelligence and its applications in logistics engineering

• Part I: Artificial Intelligence
• Extractive Text Summarization Using Syntactic Sub- Graph Models
• Analysis of Big Five Personality Factors to determine the Appropriate Type of Career using the C4.5 Algorithm
• Predicting Disaster Type from Social Media Imagery via Deep Neural Networks Directed by Visual Attention
• Dissemination Management for Official Statistics Using Artificial Intelligence-Based Media Monitoring
• Part II: Computational Vision
• A Naive but Effective Post-Processing Approach for Dark Channel Prior (DCP)
• COVID-19 Face Mask Classification Using Deep Learning
• Gender Classification Using Transfer Learning and Fine-Tuning
• Multi-Language Recognition Translator by Using the Convolutional Neural Network (CNN) Algorithm and Optical Character Recognition (OCR)
• Autonomous Driving Through Road Segmentation Based on Computer Vision Techniques
• Part III: Cybersecurity
• Phishing Attack Types and Mitigation: A Survey
• A Review of Privacy Protection Methods for Smart Homes Against Wireless Snooping Attack
• Development of Graph-Based Knowledge on Ransom-Ware Attacks Using Twitter Data
• Part IV: Big Data Analytics
• BigMDHealth: Supporting Multidimensional Big Data Management and Analytics over Big Healthcare Data via Effective and Efficient Multidimensional Aggregate Queries over Key-Value Stores (Prof Alredo's paper)
• Design and Implementation of Data Warehouse Solution at Kumpulan Wang Persaraan (KWAP)
• Consumer Behavior Prediction During Covid-19 Pandemic Conditions Using Sentiment Analytics
• Big Data Application on Prediction of HDD Manufacturing Process Performance
• Visualising Economic Situation Through Malaysia Economic Recovery Dashboard (MERD)
• Part V: Machine/Deep Learning
• Lung Nodules Classification Using Convolutional Neural Network with Transfer Learning
• Plant Growth Phase Classification Using Deep Neural Network
• The Implementation of Genetic Algorithm-Ensemble Learning on QSAR Study of Diacylglycerol Acyltransferase-1(DGAT1) Inhibitors as Anti-Diabetes
• Classification of Exercise Game Data for Rehabilitation Using Machine Learning Algorithms
• SDDLA: A New Architecture for Secured Decentralized Distributed Learning
• Gated Memory Unit: A Novel Recurrent Neural Network Architecture for Sequential Analysis
• Multi-Class Classification for Breast Cancer with High Dimensional Microarray Data Using Machine Learning Classifier
• Predicting Risks of Late Delivery to Online Shopping Customers Using Machine Learning Techniques
• Quora Insincere Questions Classification Using Attention Based Model
• Suicide Ideation Detection: A Comparative Study of Sequential and Transformer Hybrid Algorithms
• Well Log Data Preparation and Effective Utilization of Drilling Parameters Using Data Science Based Approaches
• Deep Learning-Based Approach for Classifying the Severity of Metal Corrosion Using SEM Images
• Insurance Risk Prediction Using Machine Learning
• Loan Default Forecasting Using StackNet
• Part VI: Statistical Learning
• Neural Network Autoregressive Model for Forecasting Malaysia Under-5 Mortality
• Robustness of Support Vector Regression and Random Forest Models: A Simulation Study
• The Impact of Restrictions Community Activities on COVID-19 Transmission: A Case Study in Sumatra Island, Indonesia
• Predicting Internet Usage for Digital Finance Services: Multitarget Classification Using Vector Generalized Additive Model with SMOTE-NC
• Part VII: Text Mining and Classification
• Identifying Topic Modeling Technique in Evaluating Textual Datasets
• Y-X-Y Encoding for Identifying Types of Sentence Similarity
• Evaluation of Extractive and Abstract Methods in Text Summarization.

The book presents selected papers from International Conference on Data Science and Emerging Technologies (DaSET 2022), held online at UNITAR International University, Malaysia, during December 2021, 2022. This book aims to present current research and applications of data science and emerging technologies. The deployment of data science and emerging technology contributes to the achievement of the Sustainable Development Goals for social inclusion, environmental sustainability, and economic prosperity. Data science and emerging technologies such as artificial intelligence and blockchain are useful for various domains such as marketing, health care, finance, banking, environmental, and agriculture. An important grand challenge in data science is to determine how developments in computational and social-behavioral sciences can be combined to improve well-being, emergency response, sustainability, and civic engagement in a well-informed, data-driven society. The topics of this book include, but not limited to: artificial intelligence, big data technology, machine and deep learning, data mining, optimization algorithms, blockchain, Internet of Things (IoT), cloud computing, computer vision, cybersecurity, augmented and virtual reality, cryptography, and statistical learning.

• Intro
• Foreword
• Organization
• The 10th International Conference on Applications and Techniques in Cyber Intelligence (ATCI2022)
• ATCI 2022 Keynotes
• Contents
• Cyber Intelligence for Industrial, IoT, and Smart City
• D Modeling and Simulation of Intelligent Building Robot Based on Star Algorithm
• 1 Introduction
• 2 Method
• 2.1 D Star Algorithm
• 2.2 Intelligent Building Robot
• 2.3 Vibration Modal Analysis of Suspended High-Altitude Platform
• 3 Experience
• 3.1 Object Extraction
• 3.2 Experimental Analysis
• 4 Discussion

• 4.1 Selection of Time Series Prediction Model
• 4.2 Static Obstacle Avoidance Path Planning
• 5 Conclusion
• References
• Industrial Economic Trade Volume Based on Multi-prediction Model Algorithm
• 1 Introduction
• 2 Proposed Method
• 2.1 Linear Prediction Methods
• 2.2 Combination Prediction Ideas
• 3 Experiments
• 3.1 Experimental Content
• 3.2 Experimental Methods
• 4 Discussion
• 4.1 Evolution and Status Quo of Foreign Trade Scale - Take the Yangtze River Economic Belt as an Example
• 4.2 Application of Each Prediction Method in Prediction of Foreign Trade
• 5 Conclusions

• 2 Related Theoretical Overview and Research
• 2.1 Analysis of the Impact of Insufficient Performance in the Development of Prefabricated Buildings
• 2.2 Prefabricated Building Performance Testing System
• 3 Experiment and Research
• 3.1 Experimental Method
• 3.2 Experimental Requirements
• 4 Analysis and Discussion
• 4.1 System Test Performance Analysis
• 4.2 Analysis of the Detection Accuracy of Different Building Performance Data
• 5 Conclusions
• References
• Risk Detection System of Bridge Construction Based on Fast ICA Algorithm
• 1 Introduction
• 2 Method

• 2.1 Fast ICA Algorithm
• 2.2 Risk Detection of Bridge Construction
• 2.3 Risk Measurement
• 3 Experience
• 3.1 Object Extraction
• 3.2 Experimental Analysis
• 4 Discussion
• 4.1 There Are High Risks in Bridge Construction
• 4.2 Comparison and Analysis of Actual Data
• 5 Conclusion
• References
• Research on Optimization of Low-Carbon Logistics Distribution Route Based on Genetic Algorithm
• 1 Introduction
• 2 Logistics Distribution Routing Problem Description
• 3 Mathematical Model of Logistics Distribution Vehicle Scheduling Problem
• 4 Genetic Algorithm Design of the Model

This book presents innovative ideas, cutting-edge findings, and novel techniques, methods, and applications in a broad range of cybersecurity and cyberthreat intelligence areas. As our society becomes smarter, there is a corresponding need to secure our cyberfuture. The book describes approaches and findings that are of interest to business professionals and governments seeking to secure our data and underpin infrastructures, as well as to individual users.

• Signal Processing of Ground Penetrating Radar Based on MED Technology.- Application Analysis of Information Security Technology in Credit Card System.- A Job Recommendation System Based on Student and Category Similarity Computation.- Correct Modeling of SH 50ETF Option Implied Volatility Based on Neural Network.- International Trade Strategy of SMEs Based on Blockchain Technology.- Information Collection Analysis and Processing of Digital Substation Based on Artificial Intelligence.- Computer Network Monitoring and Analysis Method Based on Petri Net.- Fuzzy Control Method Based on Dynamic Self-Optimization.- Application of Data Encryption Technology in Computer Software Testing.- New Rural Intelligent Pension Model Based on Big Data Technology.- Application of Dual-Loop Control Algorithm Simulation Technology in Power Regulation of New Energy Grid.- Mine Safety Monitoring and Early Warning System Based on 5G Network Technology.- The Influence of Fintech on the Performance of Commercial Bank Based on Big Data Analysis.- Research and Design of Soft Switch Technology in New Energy Vehicle Wireless Charging System.- High Dimensional Data Visualization Analysis Based on Unsupervised Laplacian Score.
• (source: Nielsen Book Data)

This book contains papers presented at the 2021 International Conference on Smart Technologies and Systems for Internet of Things, held on November 26-27, 2021, in Shanghai, China. It covers topics like distributed processing for sensor data in CPS networks, approximate reasoning and pattern recognition for CPS networks, distributed processing in mobile networking, data analytics for social media sensor data integration, data platforms for efficient integration with CPS networks, virtualized and cloud-oriented resources for data processing for CPS networks, machine learning algorithms for CPS networks, data security and privacy in CPS networks, sensor fusion algorithms, sensor signal processing, data acquisition and preprocessing technology, intelligent computing, data mining methods and algorithms, big data system solutions and tools platform, intelligent control and intelligent management, and operational situation awareness utilizing big data-driven intelligence. It caters to postgraduate students, researchers, and practitioners specializing and working in related areas.
(source: Nielsen Book Data)

• Modeling of Tri-phase PWM Rectifier and Controller Design.- AI as a Catalyst for ESG Investing.- Fuzzy Analysis Approaches to Intellectual Potential Modeling in Micro Business.- A Model for Weather Forecasting Based on Parallel Calculations.- Steganography in TCP/IP Networks.- Design of Intake Pressure Measurement and Control System Based on LabVIEW.- A New Method of Search Engine Optimization Based on Semantic Kernel Idea.- Analysis of Road Capacity Based on Vehicle Energy Consumption Formula in Single Speed Limit Zone under Periodic Boundary Conditions.- Research and Design of Four Rotor UAV Based on Cascade PID.- Diagnosis on Wrinkle in Film Transmission System and Study on Roller Traction Characteristics.- Developing MFCC-CNN based Voice Recognition System with Data Augmentation and Overfitting Solving Techniques.- A Review of Research on Parking Planning and Site Selection.- Application of Improved SFM Adaptive Threshold Algorithm in Automatic 3D Reconstruction of Remote Sensing Images.- Explore the Application of Big Data Technology in Modern Enterprise Logistics Management.- Research on Financial Performance Evaluation of New Retail Listed Companies.
• (source: Nielsen Book Data)

The book provides a thorough overview of recent developments in the design of AI systems and their uses in a range of industries, including education, technology, and bioinformatics. The papers in the proceedings were presented at the Sixth International Conference on Artificial Intelligence, Medical Engineering, and Education (AIMEE2022), which took place in Wuhan, China, from August 19 to 21, 2022. The book underlines the need for the intensification of training of an increasing number of appropriate specialists given the rapid growth of AI systems. In order to replicate human and other species' natural intelligence in digital AI systems, the researchers have been studying genetics and inherited biological processes in-depth. These studies offer fresh ideas for developing ever more powerful AI techniques. The featured articles cover a variety of themes in the fields of mathematics and biomathematics, medical approaches, technical and educational approaches, and medical approaches. The book is a compilation of recent academic papers in the discipline, covering a wide range of topics that are important to both business managers and engineers. This proceedings is a fantastic resource for asset management practitioners, researchers, and academics, as well as undergraduate and graduate students who are interested in AI, bioinformatics systems, and their developing applications. This is due to the breadth and depth of the proceedings. Experts, students, and other people who are interested in learning about how AI systems might be used in the future are the target audience.
(source: Nielsen Book Data)

• Bar-code Recognition Based on Machine Vision.- Some Problems and Solutions for Non-absorbent Wall Climbing Robot.- SOC Estimation of Lithium Battery Based on BP Neural Network with Forgetting Factor.- Design of Train Circuit Parallel Monitoring System Based on CTCS.- Information Spaces and Efficient Information Accumulation in Calibration Problems.- The Novel Multi Source Method for the Randomness Extraction.- Post-Quantum Scheme with the Novel Random Number Generator with the Corresponding Certification Method.- Prediction of UWB Positioning Coordinates with or without Interference Based on SVM.- Analysis and Comparison of Routing and Switching Processes in Campus Area Networks Using Cisco Packet Tracer.- A Parallel Algorithm for the Detection of Eye Disease.- Systems Theory, Mechanics with Servoconstraints, Artificial Intelligence.- A New Approach to Search Engine Optimization Based on the Synthesis of a Virtual Promotion Map.- Software Reliability Models: A Brief Review and Some Concerns.- An Enhanced Session Based Login Authentication and Access Control Scheme Using Client File.- Electric Meters Monitoring System for Residential Buildings.- Implementation of Blockchain Technology for Secure Image Sharing Using Double Layer Steganography.- Nature-inspired DMU Selection and Evaluation in Data Envelopment Analysis.- Hybrid Convolution Neural Network with Transfer Learning Approach for Agro-crop Leaf Disease Identification.
• (source: Nielsen Book Data)

This book comprises high-quality peer-reviewed research papers presented at the 4th International Symposium on Computer Science, Digital Economy and Intelligent Systems (CSDEIS2022), held in Wuhan, China, from November 11-13, 2022, organized jointly by the Wuhan University of Technology, Hubei University of Technology, Wuhan University of Science and Technology, the Polish Operational and Systems Society, and the International Center of Informatics and Computer Science (ICICS). The topics discussed in the book include state-of-the-art papers in computer science and their technological applications; intelligent systems and intellectual approaches; digital economics and educational approaches. It is an excellent source of references for researchers, graduate students, engineers, management practitioners, and undergraduate students interested in computer science and its applications in engineering and management.
(source: Nielsen Book Data)

• Data Integration in Practice: Academic Finance Analytics Case Study
• Proposal of an Aquarium Design Support Virtual Reality System
• The Source Code Maintenance Time Classifications from Code Smell
• Evolution Analysis of R&D Jobs Based on Patents' Technology Efficacy Labeling
• The Model of Improving the Quality of Government Financial Reporting
• Fuzzy Mean Clustering Analysis Based on Glutamic Acid Fermentation Failure
• Mustahik Micro Business Incubation in Poverty Alleviation
• Schemes for a Transient Eddy-current Problem On an Unbounded Area
• Zakat Management Model Based on ICT
• Teaching Method of Advanced Mathematics combining PAD Classroom with ADDIE Model
• A Kind of Online Game Addictive Treatment Model about Young Person
• Research on E-commerce Customer Value Segmentation Model Based on Network Behavior
• Blockchain Applications for Mobility-as-a-Service Ecosystem: A Survey
• Construction of a Fully Homomorphic Encryption Scheme with Shorter Ciphertext and its Implementation on the CUDA Platform
• Traffic-oriented Shellcode Detection Based on VSM
• Supply Chain Finance Mediates The Effect of Trust and Commitment on Supply Chain Effectiveness.

This book presents original contributions to the theories and practices of emerging Internet, data, and web technologies and their applicability in businesses, engineering, and academia. Internet has become the most proliferative platform for emerging large-scale computing paradigms. Among these, data and web technologies are two most prominent paradigms, in a variety of forms such as data centers, cloud computing, mobile cloud, mobile web services, and so on. These technologies altogether create a digital ecosystem whose corner stone is the data cycle, from capturing to processing, analysis, and visualization. The investigation of various research and development issues in this digital ecosystem is boosted by the ever-increasing needs of real-life applications, which are based on storing and processing large amounts of data. As a key feature, it addresses advances in the life-cycle exploitation of data generated from the digital ecosystem data technologies that create value for the knowledge and businesses toward a collective intelligence approach. Researchers, software developers, practitioners, and students interested in the field of data and web technologies find this book useful and a reference for their activity.

• Multiple Layers Global Average Pooling Fusion.- Han Dynasty Clothing Image Classification Model Based on KNN-Attention and CNN.- Self-attention SSD Network Detection Method of X-ray Security Images.- Cross Architecture Function Similarity Detection with Binary Lifting and Neural Metric Learning.- Pain Expression Recognition Based on Dual-channel Convolutional Neural Network.- A Noval Air Quality Index Prediction Scheme Based On Long Short-Term Memory Technology.- Code Summarization through Learning Linearized AST Paths with Transformer.- Function Level Cross-Modal Code Similarity Detection with Jointly Trained Deep Encoders.- Ease Solidity Smart Contract Compilation through Version Pragma Identification.- Towards Robust Similarity Detection of Smart Contracts with Masked Language Modelling.- DeSG: Towards Generating Valid Solidity Smart Contracts with Deep Learning.- Combining AST Segmentation and Deep Semantic Extraction for Function Level Vulnerability Detection.- A Novel Variational-Mode-Decomposition-Based Long Short-Term Memory for Foreign Exchange Prediction.
• (source: Nielsen Book Data)

This book consists of papers on the recent progresses in the state of the art in natural computation, fuzzy systems, and knowledge discovery. The book is useful for researchers, including professors, graduate students, as well as R & D staff in the industry, with a general interest in natural computation, fuzzy systems, and knowledge discovery. The work printed in this book was presented at the 2022 18th International Conference on Natural Computation, Fuzzy Systems, and Knowledge Discovery (ICNC-FSKD 2022), held from 30 July to 1 August 2022, in Fuzhou, China. All papers were rigorously peer-reviewed by experts in the areas.
(source: Nielsen Book Data)

• Chapter 1. A Graph Based Extractive Assamese Text Summarization.-
• Chapter 2. Internet of Things (IoT) for Secure Data and M2M Communications.-
• Chapter 3. Deveelopment of Walking Assistants for Visually Challenged Person.-
• Chapter 4. A PERFORMANCE STUDY OF PREDICTION MODELS FOR DIABETES PREDICTION USING MACHINE LEARNING.-
• Chapter 5. Orthopantomogram (OPG) Image Analysis using Bounding Box Algorithm.-
• Chapter 6. Design and Analysis of an Improved Artificial Neural Network Controller for the Energy Efficiency Enhancement of Wind Power Plant.-
• Chapter 7. Detection of Renal Calculi using Convolutional Neural Networks.-
• Chapter 8. Question Answering and Text Generation using BERT and GPT-2 Model.-
• Chapter 9. Improved Lenet Model for Flower Classification Using GPU Computing.-
• Chapter 10. Distributed computing over the Next Generation Mobile Communication Network (NGMCN) is an emerging technology.-
• Chapter 11. The ELF Tribe: Redefining Primary Education in a Post-COVID Era.-
• Chapter 12. An Extreme Machine Learning Mdel for Evaluating Landslide Hazard Zonation in Nilgiris District, Causative Factors and Risk Assessment using Earth Observation Techniques.-
• Chapter 13. Analysis of Cross-Site Scripting Vulnerabilities in Various Day-to-Day Web Applications.-
• Chapter 14. Detecting Cyberbullying with text classification using 1DCNN and Glove Embeddings.-
• Chapter 15. A Bayesian Network Based Software Requirement Complexity Prediction Model.
• (source: Nielsen Book Data)

The book features original papers from International Conference on Computational Methods and Data Engineering (ICCMDE 2021), organized by School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India, during November 25-26, 2021. The book covers innovative and cutting-edge work of researchers, developers, and practitioners from academia and industry working in the area of advanced computing.
(source: Nielsen Book Data)

• Methods of Recognition and Classification of Objects in Digital Logistics.- Prospects and Opportunities for Green Logistics Development in Russia.- Ice Reconnaissance Data Processing under Low Quality Source Images.- Assessment of the Impact of the Level of Railway Tariffs on the Evolution of Cargo Supply Chains.- Stochastic Operational Logic for Berths Throughput Modelling of Export Coal Terminal.- New Approaches to the Economic Assessment of Transport Projects in the Context of Changing Urban Mobility.- Digitalization and Data Driven Logistics at Dutch Logistic SMEs.- Conventional and Digital Technologies Convergence as an Additional Advantage in Ensuring of Supply Chain Counterparties Economic Growth.- Development of Rail Container Transportation Based on Mobility and Logistics Efficiency.- Two-level Algorithms as Part of Digital Logistics Platforms.- Digitalization of Oil Refining Process (Fuel Gas Flow Rate for Hydrotreatment).- Prospects of Multimodal Container Transportation in Russia.- Application of Digital Twins for Digital Transformation of Oil and Gas Enterprises.- The Use of Unmanned Aerial Vehicles in Healthcare Logistic: Risks and Opportunities.- Improvement of Information and Communication Activities of Participants in Supply Chains Using Corporate Portals.
• (source: Nielsen Book Data)

This book is a collection of best selected research papers from the "Digital Technologies in Logistics and Infrastructure" conference (ICDT-2021). The topics of the presented papers are related to various aspects, problems, and solutions in maritime, transport, warehouse logistics, digital transformation, and information technologies in logistics, as well as digital transformation of infrastructure industries from theoretical and practical points of view. The authors of the conference are representatives of major companies, researchers, and scientists from Russia, Hungary, Armenia, Kazakhstan, Thailand, the Netherlands, and Finland. The conference proceedings are of interest to researchers and practitioners in the field of logistics and infrastructure in various sectors of digitalization.
(source: Nielsen Book Data)

• A Bi-objective Evolutionary Algorithm to Improve the Service Quality for On-demand Mobility.- A Dynamic Circular Hough Transform Based Iris Segmentation.- A Game Theoretic Framework for Interpretable Student Performance Model.- A New Telecom Churn Prediction Model Based on Multi Layer Stacking Architecture.- A Novel Hybrid Classification Approach for Predict Performance Student in e-learning.- A Proposed Big Data Architecture using Data Lakes for Education Systems.- A SVM Approach for Assessing Traffic Congestion State by Similarity Measures.- A Tool for the Analysis, Characterization, and Evaluation of Serious Games in Teaching.- Analysis and Examination of the Bus Control Center(BCC) System: Burulas Example.- Analyze Symmetric and Asymmetric Encryption Techniques by Securing Facial Recognition System.- Aspect-Based Sentiment Analysis of Indonesian Language Hotel Reviews using Long Short-Term Memory with an Attention Mechanism.- Big Data and Machine Learning in Healthcare: Concepts, Technologies, and Opportunities.- Classification of Credit Applicants using SVM Variants Coupled with Filter-Based Feature Selection.- Classification of Hate Speech Language Detection on social media: Preliminary Study for Improvement.- CoAP and MQTT: Characteristics and Security.
• (source: Nielsen Book Data)

This book covers selected research works presented at the fifth International Conference on Networking, Information Systems and Security (NISS 2022), organized by the Research Center for Data and Information Sciences at the National Research and Innovation Agency (BRIN), Republic of Indonesia, and Moroccan Mediterranean Association of Sciences and Sustainable Development, Morocco, during March 30-31, 2022, hosted in online mode in Bandung, Indonesia. Building on the successful history of the conference series in the recent four years, this book aims to present the paramount role of connecting researchers around the world to disseminate and share new ideas in intelligent information systems, cyber-security, and networking technologies. The 49 chapters presented in this book were carefully reviewed and selected from 115 submissions. They focus on delivering intelligent solutions through leveraging advanced information systems, networking, and security for competitive advantage and cost savings in modern industrial sectors as well as public, business, and education sectors. Authors are eminent academicians, scientists, researchers, and scholars in their respective fields from across the world.
(source: Nielsen Book Data)

• On ISGG's 30th Agenda: Legacy and Challenges.- On the Diagonals of Billiards.- Exploring the Steiner-Soddy Porism.- Circumparabolas in Chapple's porism.- Permutation Cubics.- Beyond the Nine-Point Conic.- Complex Solution of Engineering Problems by Graphic Methods.- Integer Sequences from Circle Divisions by Rational Billiard Trajectories.- Topographic Surfaces as Topological Sets.- Generalizing Continuous Flexible Kokotsakis Belts of the Isogonal Type.- The Intersection Curve of an Ellipsoid with a Torus Sharing the same Center.- Four-Dimensional Visual Exploration of the Complex Number Plane.- Regularity Conditions for Voronoi Diagrams in Hyperbolic Space.- Poncelet and the (Arquimedean) twins.- A Note on Local Intersection Multiplicity of Two Plane Curves.- Locally Flat and Rigidly Foldable Discretizations of Conic Crease Patterns with Reflecting Rule Lines.- Transformations between Developments and Perspectives of Three and Four Dimensional Cubes.- Perfect circles, Amicable Triangles and some of their Properties - Angles Equality and About Two New Constants in the Triangle.- Geometrical Construction of Shape by a Weak-Visual Person in a Physical Medium.- Algebraic Surfaces and their Geometric Bases.- The Wrought Iron Beauty of Poncelet Loci.- Rectification of an Edgy Photograph.- Point Cloud Upsampling via Quadric Fitting.- Viewing Matters.- Geometric Aspects of Modeling Real Conditions of Solar Irradiation of Energy Efficient Architectural Objects.- MPS Simulation for the Japanese Sport Wellness Blowgun.- Conservative Dynamical Systems in Oscillating Origami Tessellations.
• (source: Nielsen Book Data)

This book covers recent achievements on the ever-expanding field of Geometry and Graphics on both analogical and digital fronts, from theoretical investigations to a broad range of applications, new teaching methodologies, and historical aspects. It is from 20th International Conference on Geometry and Graphics (ICGG2022), a series of conference that started in 1978 and promoted by International Society for Geometry and Graphics, which aims to foster international collaboration and stimulate the scientific research and teaching innovations in the multidisciplinary field. The contents of the book are organized in: Theoretical Geometry and Graphics; Applied Geometry and Graphics; Engineering Computer Graphics; Graphics Education; Geometry and Graphics in History, and are intent for the academics, researchers, and professionals in architecture, engineering, industrial design, mathematics, and arts.
(source: Nielsen Book Data)

• Chapter 1. A DGS loaded Compact Super - Wideband Antenna for Microwave Imaging Application
• Chapter 2. A Study on Repeated Game Theory in Wireless Sensor Networks Security
• Chapter 3. An Overview of Information-Centric Network: Concepts, Network Architecture, Comparison, and Difficulties
• Chapter 4. Automated Mishap Detection and Prevention System for Vehicles
• Chapter 5. Autonomous Drone Using Time of Flight Sensor for Collision Avoidance
• Chapter 6. Collaborative Communication Models in Non-Cash Food Assistance (Bantuan Pangan Non-Tunai, Bpnt) Program: Towards Community Resilience
• Chapter 7. Communication technology for information exchange using short-range unmanned aerial vehicles
• Chapter 8. Evaluative Aspects of Wireless Sensor Networks Reliability Model: A Case Study
• Chapter 9. Implementation of 3D Object Models for Mobile Applications in UI/UX Design using SceneView API
• Chapter 10. Latest Trends in Wireless Network Optimization using Distributed Learning
• Chapter 11. Malware Classification in Local System Executable Files Using Deep learning
• Chapter 12. New generation 3D optical switch for free pace optical networks
• Chapter 13. Terrain Dimensions and Node Density Analysis of MANET using NS2 and BonnMotion
• Chapter 14. Towards Secure Fault-tolerant Wireless Sensor Communication: Challenges and Applications
• Chapter 15. Utilizing Data from Quick Access Recorder to Predict Faulty Processing on Aircrafts. etc.

The book is a collection of high-quality research papers presented at Intelligent Communication Technologies and Virtual Mobile Networks (ICICV 2023), held at Francis Xavier Engineering College, Tirunelveli, Tamil Nadu, India, during February 1617, 2023. The book shares knowledge and results in theory, methodology, and applications of communication technology and mobile networks. The book covers innovative and cutting-edge work of researchers, developers, and practitioners from academia and industry working in the area of computer networks, network protocols and wireless networks, data communication technologies, and network security.

• Intro
• Foreword
• Fifty Years is a Long Time-However You Count Them-But Impact Counts More....
• Preface
• Contents
• 1 The History of IGIP
• 1.1 A Glance at the History of Engineering Education
• 1.2 The Significance of Technical Teacher Training in Europe in the Second Part of the Twentieth Century
• 1.3 The Foundation of IGIP
• 1.4 The Creation of IGIP Structure
• 1.5 The Fundamentals of Engineering Pedagogy
• 1.6 The First IGIP Prototype Curriculum
• References
• 2 The Activities of IGIP
• 2.1 Ing.Paed. IGIP Register and the Development of the Second IGIP Prototype Curriculum

• 2.2 The Development of the Third IGIP Prototype Curriculum
• 2.3 The Development of the Fourth IGIP Prototype Curriculum
• 2.4 Establishment of IGIP Training Centers
• 2.5 International and Regional IGIP Conferences on Engineering Pedagogy
• 2.6 IGIP Presidency, Executive Committee, Membership and Dynamics of the Changes
• 2.6.1 IGIP Membership
• 2.6.2 Scientific Advisory Board
• 2.6.3 IGIP Presidents and General Secretaries
• 2.6.4 Executive Committee
• 2.6.5 International Monitoring Committee
• 2.6.6 Working Groups
• 2.7 Engineering Pedagogy Research
• 2.8 IGIP Awards

• 2.9 Cooperation with Sister Organizations
• 2.10 International Journal of Engineering Pedagogy (iJEP)
• 2.11 Conclusions
• References
• Appendix 1 Series of Publications on Engineering Pedagogy
• Appendix 2 The First IGIP Curriculum
• Appendix 3 IGIP Criteria for Accreditation of Engineering Pedagogy Studies
• 1. IGIP Accreditation Criteria for Engineering Pedagogy
• 1.1 Introduction
• 1.2 Goals of IGIP Accreditation
• 1.3 IGIP Accreditation Criteria
• 1.3.1 Accreditation Criterion (a): Organisation of the Program
• 1.3.1.1 Independent Course of Studies for Engineering Pedagogy

• 1.3.1.2 Integrated Program for Engineering Pedagogy
• 1.3.2 Accreditation Criterion (b): Entrance Requirements for First Year Students
• 1.3.2.1 Within Independent Course of Studies for Engineering Pedagogy
• 1.3.2.2 Within Integrated Program for Engineering Pedagogy
• 1.3.3 Accreditation Criterion (c): Skills/Abilities of the Graduates
• 1.3.4 Accreditation Criterion (d): Engineering Pedagogy Curriculum
• 1.3.5 Accreditation Criterion (e): Lecturers and Professors
• 1.3.6 Accreditation Criterion (f): Institutional Resources

• 1.3.7 Accreditation Criterion (g): Quality Control and Feedback
• 1.4 Application for Accreditation
• 2. Organisation Forms of Engineering Pedagogy Programs in Different Education Systems
• 2.1 Diversity of National Systems
• 2.2 A Common European Approach: The Bologna Declaration
• 2.3 Integrating the Engineering Pedagogy Programs Into the European University System
• 3. Educational Process
• 4. Competencies in Engineering Pedagogy
• 4.1 Technical Competencies
• 4.2 Pedagogical, Social, Psychological and Ethical Competencies
• 4.3 Didactical Skills and Subject Expertise

This book is dedicated to the history and contemporary activities of IGIP that occupies a unique position among world organizations who are focused on Engineering Education. We are currently in the process of transforming education at all levels. This applies in particular to the professional and academic education and training of engineers. To face these current real-world challenges, higher education has to find innovative ways to quickly respond to these new needs. This and completely new technologies in education require specifically new and adapted approaches in Engineering Pedagogy. This book is a continuation of IGIPs tradition to summarize and analyze intermediate results and foresee the main trends of further development of Engineering Pedagogy. It is written for the 50th anniversary of IGIP and contains valuable historic information as well as memories and opinions of IGIP members and specialists in Engineering Pedagogy. This book is intended for teachers at technical colleges and universities, students, post-graduates, administrative staff of educational institutions, staff of state educational ministries and committees, members of other societies with interest in Engineering Education, staff of personnel agencies, and everyone who is interested in Engineering Education and Pedagogy. Interested readership includes furthermore policymakers, academic researchers in pedagogy and learning theory, schoolteachers, the learning industry, further and continuing education lecturers, etc.

• Barriers to Technology Deployment for Sustainable Water Management in the Spanish Food Industry
• An UCC Network Design for Sustainable Urban Logistics in Bilbao
• The LIn Back Principles as a Means of Optimising Logistical-Production Processes
• Segmentation of Industrial Sectors Based on the Characteristics of their Greenhouse Gases Emissions
• Design of a Learning Environment Based on Flip Teaching in Industrial Engineering subjects
• Reconfiguration of Multi-Business Chains Through Vertical Synergies
• Impact of Optimizing Vegetable Freshness on Agri-Food Supply Chain Design
• A Matlab-based Educational Tool for Quantitative Risk Analysis
• Combining Quality Indices in the Retail Location Problem using Generalized Linear Models
• Identification and Prioritisation of Professional Transitions in Manufacturing Operations in the New Context of Industry 4.0
• An Iterated Prisoners Dilemma tool to Play and Learn Inside and Outside the Class
• Requirements for the Development of a Collaboration Platform for Competency-Based Collaboration in Industrial Data Science projects.

This book presents the selected research works from the 16th International Conference on Industrial Engineering and Industrial Management in 2022. The conference was promoted by ADINGOR (Asociacin para el Desarrollo de la Ingeniera de Organizacin), organized by Ingenium Research Group at Universidad de Castilla-La Mancha, Spain, and it took place on July 7th and 8th, 2022, in Toledo, Spain. The book highlights some of the latest research advances and cutting-edge analyses of real-world case studies on Industrial Engineering and Industrial Management from a wide range of international contexts. It also identifies business applications and the latest findings and innovations in Operations Management and in Decision Sciences.

• Application of Convolutional Neural Network for the Gene Expression Data Classification.- Formation of Subsets of Co-Expressed Gene Expression Profiles Based on Joint Use of Fuzzy Inference System, Statistical Criteria and Shannon Entropy.- Mathematical Model of Preparing Process of Bulk Cargo for Transportation by Vessel.- Computer Simulation of Joule-Thomson Effect Based on the Use of Real Gases.- Simulating Soil Organic Carbon Turnover with a Layered Model and Improved Moisture and Temperature Impacts.- Optimization of Coagulant Dosing Process for Water Purification Based on Artificial Neural Networks.- Methodology for Solving Forecasting Problems Based on Machine Learning Methods.- The Comprehensive Model of Using In-Depth Consolidated Multimodal Learning to Study Trading Strategies in the Securities Market.- Mathematical and Computer Model of the Tree Crown Ignition Process from a Mobile Grassroots Fire.- Features of Complex Application of the Formal Method of EVENT-B for Development of Environmental Management Systems.- Ecology Objects Recognition by Optimized Inverse Filtration Of Textured Background.- Information Technology to Assess the Enterprises' Readiness for Innovative Transformations Using Markov Chains.- Method to Find the Original Source of COVID-19 by Genome Sequence and Probability of Electron Capture.- Leader-Follower Strategy of Fixed-Wing Unmanned Aerial Vehicles via Split Rejoin Maneuvers.- Prognostic Assessment of COVID-19 Vaccination Levels.
• (source: Nielsen Book Data)

This book contains of 39 scientific papers which include the results of research regarding the current directions in the fields of data mining, machine learning and decision-making. This book is devoted to current problems of artificial and computational intelligence including decision-making systems. Collecting, analysis and processing information are the current directions of modern computer science. Development of new modern information and computer technologies for data analysis and processing in various fields of data mining and machine learning create the conditions for increasing effectiveness of the information processing by both the decrease of time and the increase of accuracy of the data processing. The papers are divided in terms of their topic into three sections. The first section "Analysis and Modeling of Hybrid Systems and Processes" contains of 11 papers, and the second section "Theoretical and Applied Aspects of Decision-Making Systems" contains of 11 ones too. There are 17 papers in the third section "Data Engineering, Computational Intelligence and Inductive Modeling". The book is focused to scientists and developers in the fields of data mining, machine learning and decision-making systems.
(source: Nielsen Book Data)