%{search_type} search results

• Hrain
• A Comparative Study of Model-Free Reinforcement Learning Approaches
• Location Aware Security System for Smart Cities using IoT
• An Assessment Study of Gait Biometric Recognition using Machine Learning
• A Study on Risk Management Practices in Online Banking in Bahrain
• Deep Learning Techniques: An Overview
• A Multilayer Deep Learning Framework For Auto-Content Tagging
• Case Based Reasoning (CBR) based Anemia Severity Detection System (ASDS) Using Machine Learning Algorithm
• ECG Signal Analysis, Diagnosis and Transmission
• The Effect of Real-Time Feedback on Consumers Behaviour in the Energy Management Sector: Empirical study
• Synchronization Control in Fractional Discrete-Time Systems with Chaotic Hidden Attractors
• Employment of Cryptographic Modus Operandi based on Trigonometric Algorithm and Resistor Color Code
• Experimental & Dimensional Analysis Approach for Human Energy Required In Wood Chipping Process
• Impact of High-k gate dielectric and Workfunctions Variation on Electrical Characteristics of VeSFET
• Correlating Personality Traits to Different Aspects of Facebook Usage
• Fractional Order control of a Fuel Cell-boost Converter System
• Battery Pack Construction Scheme based on UPS System Reliability
• Study on Land Compensation for High Voltage Transmission Lines in Power Grid based on Easement
• Study on the Terrain of Power Network Construction Expropriation and Legal Risk Prevention Solid Waste Management
• Android Rogue Application Detection using Image Resemblance and Reduced LDA
• An Indexed Non-Probability Skyline Query Processing Framework for Uncertain Data
• Analysis of Operational Control Mode of Intelligent Distribution Grids with Multi-microgrid
• Technical Present Situation based on Micro Grid Operation Control
• Skin Lesion Classification: A Transfer Learning Approach Using Efficient Nets
• Change Footprint Pattern Analysis of Crime Hotspot of Indian Districts
• Itemset Mining based Episode Profiling of Terrorist Attacks using Weighted Ontology
• Enabling Technologies in Banking Industry, Regulatory Technology RegTech and Money Laundering Prevention
• A Cognitive Knowledge Base for Learning Disabilities using Concept Analysis
• Native Monkey Detection using Deep Convolution Neural Network
• Evaluation and Summarization of Student Feedbacks Using Sentiment Analysis
• Predicting Competitive Weight Lifting Performance using Regression and Tree-based Algorithms
• Predicting the Primary Dominant Personality Trait of Perceived Leaders by Mapping Linguistic Cues from Social Media Data onto the Big-Five Model
• Analysis of Users behaviour on Micro Blogging Site using a Topic
• Machine Learning Techniques for Short Term Forecasting of Wind Power Generation
• Integrated Process Management System of Smart Substation Secondary Side based on Practical Scheme
• Research on Forms and Strategies of Alternative Energy Achieved
• Lightweight Access Control Algorithm for Internet of Things
• Named Entity Recognition for Legal Documents
• Visual Speech Processing and Recognition
• Predictive Analytics for Cardiovascular Disease Diagnosis using Machine Learning Techniques
• A Novel Approach for Smart Health Care Recommender System
• Heart Disorder Prognosis employing KNN, ANN, ID3 and SVM
• IoT based Home Security System with Wireless Communication
• Implementation of Internet of Things IoT in Small Business Industry: Case of Ba.

This book presents the refereed proceedings of the 5th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA 2020), held at Manipal University Jaipur, India, on February 13 - 15, 2019, and organized in collaboration with the Scientific Research Group in Egypt (SRGE). The papers cover current research in machine learning, big data, Internet of Things, biomedical engineering, fuzzy logic and security, as well as intelligence swarms and optimization.

• Part I. Invited speakers' papers
• Part II. Clustering
• Part III. Picture fuzzy sets and spherical fuzzy sets
• Part IV. Estimation and prediction
• Part V. Hestant fuzzy sets
• Part VI. Neutrosophic sets
• Part VII. Intutionistic fuzzy sets
• Part VIII. Pythagorean fuzzy sets and Q-rung orthopair fuzzy sets
• Part IX. Multicriteria decision making-applications
• Part X. Multicriteria decision making-theory
• Part XI. Intelligent statistical analyses
• Part XII. Networks
• Part XIII. Intelligent learning
• Part XIV. Fuzzy analytics
• Part XV. Risk assessment
• Part XVI. Intelligent Quality
• Part XVII. Heuristics
• Part XVIII. Optimization
• Part XIX. Review and discussion papers.

This book gathers the most recent developments in fuzzy & intelligence systems and real complex systems presented at INFUS 2020, held in Istanbul on July 21-23, 2020. The INFUS conferences are a well-established international research forum to advance the foundations and applications of intelligent and fuzzy systems, computational intelligence, and soft computing, highlighting studies on fuzzy & intelligence systems and real complex systems at universities and international research institutions. Covering a range of topics, including the theory and applications of fuzzy set extensions such as intuitionistic fuzzy sets, hesitant fuzzy sets, spherical fuzzy sets, and fuzzy decision-making; machine learning; risk assessment; heuristics; and clustering, the book is a valuable resource for academics, M.Sc. and Ph.D. students, as well as managers and engineers in industry and the service sectors. .
(source: Nielsen Book Data)

• Combined Intelligent and Adaptive Optimization in End Milling of Multi-layered 16MnCr5/316L
• Jaya: A New Meta-heuristic Algorithm for the Optimization of Braced Dome Structures
• Damage Detection of Truss Employing Swarm-Based Optimization Techniques
• Multi-objective Optimization of Wire-Electric Discharge Machining Process Using Multi-objective Artificial Bee Colony Algorithm
• Optimization of Process Parameters in Pulsed Electrochemical Honing Process Using Evolutionary Algorithms
• Modeling and Simulation of Huge AC Power Network for Optimization of Corona Power Loss Through TLBO Algorithm
• Optimization of Water Distribution Networks Using Cuckoo Search Algorithm
• GA-Based Hybrid Approach to Solve Fuzzy Multi-objective Optimization Model of Multi-application-Based COTS Selection Problem
• Optimization of Parameters for Steel Recycling Process by Using Particle Swarm Optimization Algorithm
• Modeling 3D WSN to Maximize Coverage Using Harmony Search Scheme
• An Efficient Jaya Algorithm for Multi-objective Permutation Flow Shop Scheduling Problem
• Multi-objective Optimization of EDM Process Parameters Using Jaya Algorithm Combined with Grey Relational Analysis
• Application of Fuzzy Integrated JAYA Algorithm for the Optimization of Surface Roughness of DMLS Made Specimen: Comparison with GA
• Comparative Analysis of Fruit Categorization Using Different Classifiers
• Design Optimization of Plate-Fin Heat Exchanger by Using Modified Jaya Algorithm
• Prediction of Factor of Safety For Slope Stability Using Advanced Artificial Intelligence Techniques
• The Use of Grey Relational Analysis to Determine Optimum Parameters for Plasma Arc Cutting of SS-316L
• Jaya Algorithm Based Intelligent Color Reduction
• Tooth Profile Optimization of Helical Gear with Balanced Specific Sliding Using TLBO Algorithm
• Optimization of Nanofluid Minimum Quantity Lubrication (NanoMQL) Technique for Grinding Performance Using Jaya Algorithm
• Performance Evaluation of Jaya Optimization Techniquefor the Production Planning in a Dairy Industry
• Multi-objective Optimization in WEDM of Inconel 750 Alloy: Application of TOPSIS Embedded Grey Wolf Optimizer
• Experimental Investigations and Selection of Solid Lubricant Assisted Lubrication Strategy in Machining with the Use of PROMETHEE
• BPSO-Based Feature Selection for Precise Class Labeling of Diabetic Retinopathy Images
• Dynamic Analysis and Life Estimation of the Artificial Hip Joint Prosthesis
• Sarkar Modeling Elastic Constants of Keratin-Based Hair Fiber Composite Using Response Surface Method and Optimization Using Grey Taguchi Method
• A Decennary Survey on Artificial Intelligence Methods for Image Segmentation
• Air Quality Assessment Using Fuzzy Inference Systems
• Optimization of Water Releases from Ukai Reservoir Using Jaya Algorithm
• Design of Antenna Arrays Using Chaotic Jaya Algorithm
• Optimization of Friction Drilling Process by Response Surface Methodology
• Optimization of Parameters in Friction Stir Welding of AA6101-T6by Taguchi Approach
• Evolutionary Optimization in Master Production Scheduling: A Case Study
• Optimal Irrigation Planning in the Eastern Gandak Project Using Linear Programming---A Case Study
• Optimization of Squeeze Casting Process Parameters to Investigate the Mechanical Properties of AA6061/Al2O3/SiC Hybrid Metal Matrix Composites by Taguchi and Anova Approach
• Parametric Optimization of Electrochemical Machining Process Using Taguchi Method and Super Ranking Concept While Machining on Inconel 825
• Dependency of Bead Geometry Formation During Weld Deposition of 316 Stainless Steel Over Constructional Steel Plate
• Performance Assessment of Inter-Digital Capacitive Structure-Finite Element Approach --MADM-Based Approach for Selection of Welding Process for Aluminum Tube Manufacturing
• Screening of Organic Brake Pad Materials Using MADM Technique
• Selection of Coating and Nitriding Process for AISI 4140 Steel Material to Enhance Tribological Properties
• Risk-Pooling Approach in Inventory Control Modelfor Multi-products in a Distribution Network Under Uncertainty
• Optimization of Magnetic Abrasive Finishing Process Using Principal Component Analysis
• Dynamic Distribution Network Expansion Planning Under Energy Storage Integration Using PSO with Controlled Particle Movement
• Development of Plant Layout for Improving OrganizationalEffectiveness by Hybridizing GT, TOPSIS and SLP
• Optimization of Process Parameters Using Hybrid Taguchiand VIKOR Method in Electrical Discharge Machining Process
• Multi-response Optimization of Burnishing of Friction-WeldedAA6082-T6 Using Principal Component Analysis
• Design Optimization of Helicopter Rotor with Trailing-Edge Flaps Using Genetic Algorithm
• Statistical Model for Spot Welding of Aluminum Alloy 6082T651Using an Interlayer
• Fuzzy Programming Technique for Solving Uncertain Multi-objective, Multi-item Solid Transportation Problem with Linear Membership Function
• Investigation of Influence of Process Parameters in Deep Drawing of Square Cup
• Selection of Machining Parameters in Ultrasonic Machining Process Using CART Algorithm
• PSF-Based Spectrum Occupancy Prediction in Cognitive Radio
• Hertzian Contact Stress Analysis in Roller Power Transmission One-Way Clutch by Using Finite Element Analysis Numerical Simulation and Experimental Study on Lightweight Mechanical Member
• Robust Analysis of T-S Fuzzy Controller for Nonlinear SystemUsing H-Infinity
• Adsorption of Crystal Violet Dye: Parameter Optimization Using Taguchi's Experimental Methodology
• Minimization of Springback in Seamless Tube Cold Drawing Process Using Advanced Optimization Algorithms
• Rao Integrated Production Planning and Scheduling for Parallel Production Lines
• Optimization of Surface Modification Phenomenon for P20+Ni DieSteel Using EDM with P/M Composite Electrode
• Optimization of Tool Wear and Surface Roughness of Hybrid Ceramic Tools
• Assessment of Viscosity of Coconut-Oil-Based CeO2/CuO Hybrid Nano-lubricant Using Artificial Neural Network
• Elimination of Nick Defect by Process Optimization for Input Shaft Reverse Gear Section
• Experimental Investigation of Cutting Parameters on Surface Roughness in Hard Turning of AISI 4340 Alloy Steel
• Experimental Study of Process Parameters on Finishing of AISI D3Steel Using Magnetorheological Fluid
• Evaluation of Aeration Efficiency of Triangular Weirs by Using Gaussian Process and M5P Approaches
• Performance Evaluation of Kaplan Turbine with Different Runner Solidity Using CFD
• Prediction of Occupational Risk at Workplace Using Artificial NeuralNetwork---A Case Study
• Quantification of Influence of Casting Variables for Minimizing HotSpot Area in T Junction by ANOVA and Taguchi Method
• Taguchi-Based Optimization of Machining Parameter in Drilling Spheroidal Graphite Using Combined TOPSIS and AHP Method
• Optimal Configuration of Viscous Dampers Connected to Adjacent Similar Buildings Using Particle Swarm Optimization
• Combined Economic Emission Dispatch Using Spider Monkey Optimization
• Solution of Non-convex Economic Dispatch Problems by Water Cycle Optimization
• Multi-objective Design Optimization of Shell-and-Tube Heat Exchanger Using Multi-objective SAMP-Jaya Algorithm
• An Improved Jaya Algorithm and Its Scope for Optimization in Communications Engineering
• Evaluation of TiN-Coated CBN Tools During Turning of Variable Hardened AISI 4340 Steel.

This book comprises select peer-reviewed papers presented at the International Conference on Advanced Engineering Optimization Through Intelligent Techniques (AEOTIT) 2018. The book combines contributions from academics and industry professionals, and covers advanced optimization techniques across all major engineering disciplines like mechanical, manufacturing, civil, automobile, electrical, chemical, computer and electronics engineering. Different optimization techniques and algorithms such as genetic algorithm (GA), differential evolution (DE), simulated annealing (SA), particle swarm optimization (PSO), artificial bee colony (ABC) algorithm, artificial immune algorithm (AIA), teaching-learning-based optimization (TLBO) algorithm and many other latest meta-heuristic techniques and their applications are discussed. This book will serve as a valuable reference for students, researchers and practitioners and help them in solving a wide range of optimization problems. .
(source: Nielsen Book Data)

• A controlled and complete mapping of care processes towards a digital clinic.- A LSTM-based method with Attention Mechanism for Adverse Drug Reaction Sentences Detection.- A Novel Low-Cost Conductivity Based Soil Moisture Sensor.- Agroforestry: Smart Practice for Sustainable Agricultural Development.- Automatic localization of supraorbital and infraorbital foramina region on cbct images.- Big Data Analytics and Artificial Intelligence Serving Agriculture.- Bio-ceramic amalgams based on hydroxyapatite doped by cobalt, nickel and their toxicity discussion.- Comparative study between Artificial Metaplasticity Learning Algorithm and other Machine Learning Techniques : Application for cardiac arrhythmias classification.- Comparative study of Machine Learning Algorithms using the Breast Cancer Dataset.- Comparison between Fuzzy Kernel C-Means, Fuzzy Kernel Possibilistic C-Means and Support Vector Machine in Soft Tissue Tumor Classification.- Crop Yield Prediction Using Deep Learning In Mediterranean Region.- Design and Performances Evaluation of a Hybrid WBAN for Medical Applications based on the ?Inter-MAC? Layer Concept.
• (source: Nielsen Book Data)

This book highlights the latest research in the fields of health care and agriculture, presented at the second installment of the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD-2019), held on July 08-11, 2019 in Marrakech, Morocco. Gathering contributions by respected researchers in the field of agriculture, the book is intended to stimulate debate in this field, and proposes new solutions, tools and effective techniques concerning various current topics in the field of agriculture, such as ICT, IoT and big data analytics for agriculture, smart systems for plant productivity, and data analytics of socio-economic dimensions for sustainable agriculture and aquaculture. With regard to the field of health, the book addresses several areas of research, including E-health services in smart environments (smart homes, smart medical institutions, smart cities), E-health and big data analysis, IoT for health, network interoperability in E-health ecosystems, current and emerging web norms and communication technologies for E-health, heterogeneity of E-health environments and platforms (sensors and actuators, heterogeneous access technologies, security), human-computer interaction, RFID and localization techniques, E-health virtual communities, and business intelligence in health care. This book is intended for academic and professional researchers, decision-makers and all stakeholders in the fields of health and agriculture whose work involves the development and improvement of this field with modern I4.0 technologies and approaches. The authors of each chapter report on the state of the art and present the outcomes of their own research, laboratory experiments, and successful applications. The purpose of the book is to combine the idea of advanced intelligent systems with appropriate tools and techniques for modeling, management, and decision support in the fields of health and agriculture.
(source: Nielsen Book Data)

This book presents practical approaches for facilitating the achievement of excellence in the management and leadership of organizational resources. It shows how the principles of creating shared value can be applied to ensure faster learning, training, business development, and social renewal. In particular, it presents novel methods and tools for tackling the complexity of management and learning in both business organizations and society. Discussing ontologies, intelligent management systems, methods for creating knowledge and value added, it offers novel insights into time management and operations optimization, as well as advanced methods for evaluating customers satisfaction and conscious experience. Based on two conferences, the AHFE 2019 International Conference on Human Factors, Business Management and Society, and the AHFE 2019 International Conference on Human Factors in Management and Leadership, held in July 24-28, 2019, Washington D.C., USA, the book provides both researchers and professionals with new tools and inspiring ideas for achieving excellence in various business activities.

• Part I: Internationalization in Learning Science
• Part II: Behavioral and Cognitive Science
• Part III: Future of Training, Education and Learning Sciences
• Part IV: Education, Learning and Flipped Classroom
• Part V: Human Factors in Training, Education, and Learning Sciences
• Part VI: Education in Medicine and Rehabilitation
• Part VII: Educational Strategies
• Part VIII: Instructional Design and Learning Strategies
• Part IX: Usability of Learning Technology.

This book focuses on the importance of human factors in optimizing the learning and training process. It reports on the latest research and best practices and discusses key principles of behavioral and cognitive science, which are extremely relevant to the design of instructional content and new technologies to support mobile and multimedia learning, virtual training and web-based learning, among others, as well as performance measurements, social and adaptive learning and many other types of educational technologies, with a special emphasis on those important in the corporate, higher education, and military training contexts. Based on the AHFE 2019 Conference on Human Factors in Training, Education, and Learning Sciences, held on July 24-28, 2019, in Washington D.C., USA, the book offers a timely perspective on the role of human factors in education. It highlights important new ideas and will fosters new discussions on how to optimally design learning experiences.

• Intro; Advances in Human Factors and Ergonomics 2019; Preface; Road and Rail; Aviation; Space; Maritime; Contents; Vehicle Automation; Empirical Validation of a Checklist for Heuristic Evaluation of Automated Vehicle HMIs; Abstract; 1 Introduction; 2 Method; 2.1 Sample; 2.2 Driving Simulation and Automated Driving Function; 2.3 Study Design and Procedure; 2.4 Human-Machine Interface; 2.5 Use Cases; 2.6 Dependent Variables; 3 Results; 3.1 Missing Data; 3.2 Self-report Measures; 3.3 Behavioral Observations; 4 Discussion; References

• A Novel Method for Designing Metaphor-Based Driver-Vehicle Interaction Concepts in Automated VehiclesAbstract; 1 Introduction; 2 Building the Foundation for the Novel Method; 2.1 What Are Metaphors?; 2.2 Methods to Generate Metaphors; 2.3 General Design Methodologies; 3 Development of the Novel Method; 3.1 Macro Level
• 1: "Problem"; 3.2 Macro Level
• 2: "Concept"; 3.3 Macro Level
• 3: "Evaluation"; 3.4 Iterations of the Method; 4 Discussion and Future Prospects; References; Vocal Guidance of Visual Gaze During an Automated Vehicle Handover Task; Abstract; 1 Introduction; 2 Method; 2.1 Participants

• 2.2 Design2.3 Procedure; 2.4 Method of Analysis; 3 Results; 3.1 Total Gaze Time; 3.2 Correlation with Vocal Guidance; 4 Discussion; 4.1 Main Findings; 4.2 Directability and Alignment; 5 Conclusions; Acknowledgements; References; How Do You Want to be Driven? Investigation of Different Highly-Automated Driving Styles on a Highway Scenario; Abstract; 1 Introduction; 2 Method and Variables; 3 Results; 3.1 Questionnaire Results; 3.2 Handset Control Results; 4 Conclusion and Outlook; Acknowledgements; References

• Using Technology Acceptance Model to Explain Driver Acceptance of Advanced Driver Assistance SystemsAbstract; 1 Introduction; 2 Materials and Methods; 2.1 Participants; 2.2 Simulated ADAS and Procedure; 2.3 Survey Design and Administration; 2.4 Data Analyses; 3 Results; 3.1 Descriptive Statistics; 3.2 Assessment of TAM; 4 Discussions; 5 Conclusions; Appendix: Scales Used to Measure the Factors of TAM; References; Bayesian Artificial Intelligence-Based Driver for Fully Automated Vehicle with Cognitive Capabilities; Abstract; 1 Introduction; 2 Cognitive Vehicle

• 3 Challenges of Accuracy and Reliability4 Automated Driving Based on Bayesian AI; 5 Example Application; 6 Conclusions; Acknowledgements; References; A Survey Study to Explore Comprehension of Autonomous Vehicle's Communication Features; Abstract; 1 Introduction; 2 Method; 2.1 Feature Framework Development; 2.2 Vehicle Features Selection; 2.3 Survey Development and Data Collection; 3 Results and Discussion; 3.1 Exterior Features; 3.2 Interior Features; 3.3 Comments from Participants; 4 Conclusion; References

• How Should Automated Vehicles Communicate?
• Effects of a Light-Based Communication Approach in a Wizard-of-Oz Study.

This book discusses the latest advances in research and development, design, operation and analysis of transportation systems and their complementary infrastructures. It reports on both theories and case studies on road and rail, aviation and maritime transportation. Further, it covers a wealth of topics, from accident analysis, vehicle intelligent control, and human-error and safety issues to next-generation transportation systems, model-based design methods, simulation and training techniques, and many more. A special emphasis is placed on smart technologies and automation in transport, and on the user-centered, ergonomic and sustainable design of transport systems. The book, which is based on the AHFE 2019 International Conference on Human Factors in Transportation, held on July 24-28, 2019, in Washington D.C., USA, mainly addresses the needs of transportation system designers, industrial designers, human-computer interaction researchers, civil and control engineers, as well as vehicle system engineers. Moreover, it represents a timely source of information for transportation policy-makers and social scientists whose work involves traffic safety, management, and sustainability issues in transport.

• Pilot study of Kansei human machine interface for prevention system of unintended acceleration.- Meaning and approach of new product designing through Kansei engineering.- Real, augmented, virtual, and robotic animals in smart and playable cities.- UX design for mobile application of E-Commerce site by using Kansei interface.- Research on the color of physiotherapy equipment.
• (source: Nielsen Book Data)

This book addresses current research trends and practice in industrial design. Going beyond the traditional design focus, it explores a range of recent and emerging aspects concerning service design, human-computer interaction and user experience design, sustainable design, virtual & augmented reality, as well as inclusive/universal design, and design for all. A further focus is on apparel and fashion design: here, innovations, developments and challenges in the textile industry, including applications of material engineering, are taken into consideration. Papers on pleasurable and affective design, including studies on emotional user experience, emotional interaction design and topics related to social networks make up a major portion of the contributions included in this book, which is based on five AHFE 2020 international conferences (the AHFE 2020 Virtual Conference on Design for Inclusion, the AHFE 2020 Virtual Conference on Interdisciplinary Practice in Industrial Design, the AHFE 2020 Virtual Conference on Affective and Pleasurable Design, the AHFE 2020 Virtual Conference on Kansei Engineering, and the AHFE 2020 Virtual Conference on Human Factors for Apparel and Textile Engineering) held on July 16-20, 2020. Thanks to its multidisciplinary approach, it provides graduate students, researchers and professionals in engineering, architecture, computer and materials science with extensive information on research trends, innovative methods and best practices, and a unique bridge fostering collaborations between experts from different disciplines and sectors. .
(source: Nielsen Book Data)

• Intro; Advances in Human Factors and Ergonomics 2019; Preface; Advanced Manufacturing; Production Management and Process Control; Contents; Ergonomics in Manufacturing; Development of an Intelligent Robotic Additive Manufacturing Cell for the Nuclear Industry; Abstract; 1 Introduction; 2 Methodology; 3 Smart Robot Arm and Grasper System; 4 Automatic Welding System; 4.1 Linear Motor Driver System and Automatic Turn-Table; 5 Smart 3D Stereo Vision System for Welding Process; 5.1 Phobos Camera System; 5.2 PosCam System; 6 Implementation and Welding Trials; 7 Conclusions; Acknowledgments

• 2 Literature Review3 Materials and Method; 3.1 The Assembly Workstation and the Assembly Task; 3.2 The Experimental Protocol; 4 Results; 5 Discussion; 6 Conclusions; References; Impact of Industry 4.0 on Occupational Health and Safety; Abstract; 1 Introduction; 2 The Concept of Industry 4.0; 3 Research Method; 4 Results; 4.1 Industry 4.0 Opportunities and Benefits for Occupational Health and Safety; 4.2 Concerns and Issues Deriving from the Application of Industry 4.0 Relevant for the Occupational Health and Safety

• 5 Recommendations Regarding the Integration of OHS into Manufacturing in the Industry 4.0 Context6 Summary; References; Lean Production Management Model for SME Waste Reduction in the Processed Food Sector in Peru; Abstract; 1 Introduction; 2 State of the Art; 2.1 Lean Manufacturing; 2.2 Quality Management Models; 3 Contribution; 3.1 Proposed Model; 3.2 Model Components; 3.3 Model Process; 4 Verification; 4.1 Description of the Case Study; 4.2 Validation of the Proposal; 4.3 Result Analysis; 5 Analysis; 5.1 Description of the Scenarios; 5.2 Analysis of the Scenarios; 5.3 Future Processes

• 6 ConclusionReferences; Qualitative Features of Human Capital in the Formation of Enterprise Agility. Research Results in Polish Enterprises; Abstract; 1 Introduction; 2 Factors Determining the Level of Enterprise Agility; 3 The Concept and Structure of Research on the Impact of Qualitative Features of Human Capital on Shaping the Agility of Enterprises; 4 Conclusions from Empirical Research; 5 Summary; References; Agile Manufacturing; Reflections on Production Working Environments in Smart Factories; Abstract; 1 Introduction; 2 Background; 3 Method; 3.1 Contextual Inquiries

This book discusses the latest advances in manufacturing and process control, with a special emphasis on digital manufacturing and intelligent technologies for manufacturing and industrial processes control. The human aspect of the developed technologies and products, their interaction with the users, as well as sustainability issues, are covered in detail. Development of new products using rapid prototyping systems, remote fabrication, and other advanced techniques, is described in detail, highlighting the state-of-the-art and current challenges. Based on both the AHFE 2019 International Conference on Human Aspects of Advanced Manufacturing, and the AHFE 2019 International Conference on Advanced Production Management and Process Control, held on July 24-28, 2019, in Washington D.C., USA, this book also highlight important strategies for managing enterprise of the future.

This book reports on cutting-edge research on social and occupational ergonomics, presenting innovative contributions to the optimization of sociotechnical management systems related to organizational, policy, and logistical issues. It discusses timely topics related to communication, crew resource management, work design, participatory design, as well as teamwork, community ergonomics, cooperative work, and warning systems, and explores new work paradigms, organizational cultures, virtual organizations, telework, and quality management. The book also describes pioneering infrastructures implemented for different purposes such as urban, health, and enterprise, and examines the changing role of automated systems, offering innovative solutions that address the needs of particular populations. Based on the AHFE 2019 International Conference on Social and Occupational Ergonomics, held on July 24-28, 2019, Washington D.C, USA, the book provides readers with a comprehensive overview of the current challenges in both organizational and occupational ergonomics, highlighting key connections between them and underlining the importance of emotional factors in influencing human performance.

• Identifying trendsetters in online social networks - a machine learning approach.- Consume less, create more - Digital services in the context of sustainability.- Influence of survey link locational placement on the user rating.- Toward a computable scholarly record.- Research approaches to service innovation: Organizational perspectives.- Innovation-as-a-service: Emergent lessons from an AI innovation management project.- Barriers to Service Innovation using Data Science.- Service design approaches to drive employee engagement.
• (source: Nielsen Book Data)

This book reports on cutting-edge research and best practices in developing innovative service systems. It covers issues concerning the suitability of a given system for human use, human services, and excellent human experiences. It explores a wide range of ways in which human factors in engineering, ergonomics, human-computer interaction (HCI), cognitive engineering, and many other disciplines can contribute to the design and management of service systems. It considers aspects related to cost effectiveness, ethics, and privacy, among others, and covers applications in many areas, from healthcare to education, transportation, and the economy. Based on the AHFE 2020 Virtual Conference on the Human Side of Service Engineering, held on July 16-20, 2020, the book provides readers with a comprehensive overview of current research and future challenges in the field of service engineering, together with practical insights into the development of innovative services for various kinds of organizations. .
(source: Nielsen Book Data)

• A Deep Learning Architecture for Corpus Creation for Telugu Language.- Entropy-Based Facial Movements Recognition using CPVM.- A Novel Approach of Image Processing to Identify Type and Name of Snake.- Imext Text Summarizer using Deep Learning.- Lane Detection and Collision Prevention System for Automated Vehicles.
• (source: Nielsen Book Data)

This book gathers high-quality research papers presented at the International Conference on Computing in Engineering and Technology (ICCET 2020) [formerly ICCASP]. A flagship conference on engineering and emerging next-generation technologies, it was jointly organized by Dr. Babasaheb Ambedkar Technological University and MGMs College of Engineering, Nanded, India on 9-11 January 2020. Focusing on applied computer vision and image processing, this proceedings volume includes papers on image processing, computer vision, pattern recognition, and DSP/DIP applications in healthcare systems.
(source: Nielsen Book Data)

• Webliometric Indicators of IT Expertise of Different Groups of Authors of Digital Educational Resources
• National Features of Forming a Digital Economy in Russia
• Digital Economy: Knowledge in the Logic of the Industry 4.0 Concept
• Consumer Protection of Digital Financial Services in Russia and Abroad
• The Role of the Digital Economy in the Retail Sphere
• Digital Literacy of Lawyers as a Condition of Legal Support for Business in the Digitization Era
• Certain Challenges of Digitalization of the Economy in Russian Federation
• Digital Future: Economic Growth, Social Adaptation, and Technological Perspectives
• Approaches to the Development of the Knowledge Economy in the Modern Conditions
• Artificial Intelligence: Problems and Prospects of Development
• AI as a Breakthrough Technology of Agriculture Development
• The Problems of Legal Regulation of AI: a Rather-Legal Research
• An Assessment of the Response of Sovereign Bond Markets to Asset Purchase Programs
• The Political and Administrative Elite in the Social Structure of the Russian Society
• Disintegration Vector of the Non-Institutional Political Process
• Legal Models for Activities on the Exploration and Utilization of Space Resources: Towards the "Space-2030" Agenda
• Alternative Energy in the Conditions of Cross-Border Environmental Risks and Nanotechnology: Geography of Economic and Legal Development
• Intellectual Property Exchange as a Platform for Exclusive Copyright Transfer by Means of Smart Contracts
• Cryptocurrency, Taxation and International Law: Contemporary
• The Modern Technetronic Society and Computer Crimes
• Financial Behavior of Russian Retired Persons.

This book presents advanced research studies on the topic of artificial intelligence as a component of social and economic relations and processes. It gathers research papers from the International Research-to-Practice Conference "The 21st Century from the Positions of Modern Science: Intellectual, Digital and Innovative Aspects" (May 23-24, 2019, Nizhny Novgorod, Russia) and the International Research-to-Practice Conference "Economics of Pleasure: a Science of Enjoying Economic Activities" (October 3-5, 2019, Prague, Czech Republic). Both conferences were organized by the Autonomous Non-Profit Organization "Institute of Scientific Communications" (Volgograd). What sets this book apart from other publications on the topic of artificial intelligence is that it approaches AI not as a technological tool, but as an economic entity. Bringing together papers by representatives of various fields of social and human knowledge, it systematically reflects on various economic, social, and legal aspects of the creation, application, and development of artificial intelligence. Given the multidisciplinary nature of its content, the book will appeal to a broad target audience, including those engaged in developing AI (scientific research institutes and universities), and Industry 4.0 enterprises interested in its implementation, as well as state regulators for the digital economy

• Image Analysis for Privacy Assessment in Social Networks
• Rassel: Robot Assistant for the Elderly
• Domestic violence prevention system
• Lowg
• Intelligent Monitorization System With Custom Alerts To Avoid The Home Basics Services Related Risks
• Design Thinking for Social Challenges
• SiloMAS: A MAS for Smart Silos to Optimize Food and Water Consumption on Livestock Holdings
• Intelligent livestock feeding system by means of silos with IoT technology.-Cooperative algorithm to improve temperature.

This book addresses a broad range of topics, from newly proposed techniques in Artificial Intelligence (AI) and Machine Learning to various applications such as decision-making, pattern classification for data, image and signals, robotics, and control systems. Big data applications are discussed, while improved methods and wholly new methods for using deep learning technologies are also presented. The topics covered are comprehensive and reflect a wide range of technologies in the area. In particular, the latest methods in deep learning approaches and applications are discussed in many parts of the book, providing a better understanding of these new technologies. The books general scope includes the latest methods in the areas of Artificial Intelligence and Machine Learning for use in distributed computing as well as decision support systems. As the book covers a rather wide area, its intended readership ranges from those working in AI and machine learning technologies to those working on applications utilizing these technologies, researchers new to these areas who need background information on the technologies and applications, and more experienced researchers looking for new methods and applications.

• Hearing loss and its association with clinical practice at dental university students through mobile APP: a longitudinal study.- A Bayesian network approach to identity climate teleconnections within homogeneous precipitation regions in Ecuador.- Design and implementation of an automatic system for the monitoring and monitoring of a prototype refrigeration plant with parallel compressors.
• (source: Nielsen Book Data)

This book constitutes the proceedings of the Sixth Conference on Information and Communication Technologies "TIC.EC", held in Cuenca, Ecuador, from November 27 to 29, 2019. Considered one of the most important conferences on ICT in Ecuador, it brings together scholars and practitioners from the country and abroad to discuss the development, issues and projections of the use of information and communication technologies in multiples fields of application. The 2019 "TIC.EC" conference was organized by Universidad del Azuay (UDA) and its Engineering School, as well as the Ecuadorian Corporation for the Development of Research and Academia (CEDIA). The book covers the following topics: * Software engineering * Security * Data * Networks * Architecture * Applied ICTs * Technological entrepreneurship * Links between research and industry * High-impact innovation * Knowledge management and intellectual property .
(source: Nielsen Book Data)

• Analysis of Performance Measures of Computer Systems with Priority and Maximum Operation Time
• Novel Concept of Spelling Correction for Semantic Tourism Search Interface
• Cost Effective NSX Inventory State Management in Cross Cloud
• A Tri-band Staircase Antenna for RF Energy Harvesting
• Aspect Based Sentiment Analysis Using Deep Learning Convolutional Neural Network
• Brown Boost Classifier Based Bloom Hash Data Storage for Healthcare Big Data Analytics
• Ambu Pod A Family Owned Social Enterprise for Inclusive Quality Healthcare in India.

The book proposes new technologies and discusses future solutions for ICT design infrastructures, and includes high-quality submissions presented at the Third International Conference on ICT for Sustainable Development (ICT4SD 2018), held in Goa, India on 30-31 August 2018. The conference stimulated cutting-edge research discussions among pioneering researchers, scientists, industrial engineers, and students from all around the world. Bringing together experts from different countries, the book focuses on innovative issues at an international level.

This book highlights recent research on Intelligent Systems and Nature Inspired Computing. It presents 212 selected papers from the 18th International Conference on Intelligent Systems Design and Applications (ISDA 2018) and the 10th World Congress on Nature and Biologically Inspired Computing (NaBIC), which was held at VIT University, India. ISDA-NaBIC 2018 was a premier conference in the field of Computational Intelligence and brought together researchers, engineers and practitioners whose work involved intelligent systems and their applications in industry and the "real world." Including contributions by authors from over 40 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering

• Problem Solving Incorporated into Blending Learning in Nursing Masters Degree
• Nurse Application Bundle: tools for nursing practice in home care settings
• Care robots: from tools of care to training opportunities
• Virtual reality for Informal Caregivers of Heart Failure patients: a mixed method research proposal
• Efficacy of High-Fidelity Simulation on learning outcomes: immediate results for a postgraduate Intensive Care Nursing course
• How to reduce biological risk among nursing students: A research project
• Electronic Test of Competence administration: qualitative evaluation of students satisfaction on telematic platform a cross sectional study.

This book is based on the 9th International Conference in Methodologies and Intelligent Systems for Technology Enhanced Learning, which was hosted by the University of Salamanca and held in Ávila (Spain) from 26th to 28th June 2019. Expanding on the topics of the evidence-based TEL workshops series, it provides an open forum for discussing intelligent technologies for learning. In particular, it discusses recommendation mechanisms that enable us to tailor learning to different contexts and people, e.g., by considering their personality; and learning analytics that help augment learning opportunities, e.g., by supporting the adaptation of the learning material. In addition to technologies, it covers methods from different fields, such as educational psychology or medicine, and from diverse communities co-working with people, such as making communities and participatory design communities to help create novel TEL opportunities. Further it describes the use of methods and technologies to investigate and enhance learning for "fragile users", like children, the elderly and those with special needs. We thank the sponsors: IEEE Systems Man and Cybernetics Society Spain Section Chapter and the IEEE Spain Section (Technical Co-Sponsor), IBM, Indra, Viewnext, Global exchange, AEPIA, APPIA and AIR institute.

• Part 1: Social Network & Decision Decision Science.-
• Chapter 1. Management of the Social Responsibility of the Legitimate Sports Organizations in China.-
• Chapter 2. Enterprise Social Media and Innovation: The Mediating effect of Competitor Orientation.-
• Chapter 3. Management of the Social Responsibility of the Grass-root Sports Organizations in China: An Examination of Huilongguan Football Association.-
• Chapter 4. The Moderating Effect of Risk Perception on the Evaluation of E-commerce Vendors' Attributes on Online Relationship Quality.-
• Chapter 5. Innovation and Practice of "Radar Signal Processing" Course Based on Construction Theory.-
• Chapter 6. Analysis of the Influence of Fashion Design on Clothing Structure and Garment Management.-
• Part 2: Decision Support System.-
• Chapter 7. Research on Risk Transfer Model of Real Estate Projects.-
• Chapter 8. Scientific Research Efficiency Evaluation Model Based on DEA and its Application Analysis-Take Shanghai as an example.-
• Chapter 9. Analysis and Preventions on the Financial Risks of Chinese Real Estate Market.-
• Chapter 10. Investment Risk Assessment and Control Strategy about Countries along the Belt and Road Based on the Topsis Methods.-
• Chapter 11. Interpretable Weighted Soft Decision Forest for Credit Scoring.-
• Chapter 12. Cross-test Case Design and Suggestions for CBTC System Interconnection.-
• Chapter 13. Analysis on the Influencing Factors and Countermeasures of Employee Satisfaction in Chain Enterprises-Take an Enterprise as an Example.-
• Chapter 14. L-CNN: An Improved Convolutional Neural Network to Capture Long Distance Dependencies.-
• Chapter 15. Research on Classification Evaluation Standards and Incentive and Constraint Method of Military School Teachers.
• (source: Nielsen Book Data)

This book discusses an emerging field of decision science that focuses on business processes and systems used to extract knowledge from large volumes of data to provide significant insights for crucial decisions in critical situations. It presents studies employing computing techniques like machine learning, which explore decision-making for cross-platforms that contain heterogeneous data associated with complex assets, leadership, and team coordination. It also reveals the advantages of using decision sciences with management-oriented problems. The book includes a selection of the best papers presented at the 2nd International Conference on Decision Science and Management (ICDSM 2019), held at Hunan International Economics University, China, on 20-21 September 2019. .
(source: Nielsen Book Data)

• Modified Artificial Potential Field Approaches for Mobile Robot Navigation in Unknown Environments
• ASIC Implementation of Fixed-point iterative, Parallel and Pipeline CORDIC Algorithm
• Adaptive Sensor Ranking based on Utility Using Logistic Regression
• A Hybrid Approach for Intrusion Detection System
• Inspection of Crop-Weed Image Database Using Kapurs Entropy and Spider-Monkey-Optimization
• Implementation of Fuzzy based Multi-Carrier and Phase-Shifted PWM Symmetrical Cascaded H-Bridge Multilevel Inverter
• Derived Shape Features for Brain Hemorrhage Classification
• Prediction of Crime Rate Using Data Clustering Technique
• Analysis of Fractional Order Deterministic HIV/AIDS Model During Drug Therapy Treatment
• Comparison of Performance of Four Element Microstrip Array Antenna Using Electromagnetic Band Gap Structures
• Optimal Renewable Energy Resource Based Distributed Generation Allocation in a Radial Distribution System.

This two-volume book presents the outcomes of the 8th International Conference on Soft Computing for Problem Solving, SocProS 2018. This conference was a joint technical collaboration between the Soft Computing Research Society, Liverpool Hope University (UK), and Vellore Institute of Technology (India), and brought together researchers, engineers and practitioners to discuss thought-provoking developments and challenges in order to select potential future directions. The book highlights the latest advances and innovations in the interdisciplinary areas of soft computing, including original research papers on algorithms (artificial immune systems, artificial neural networks, genetic algorithms, genetic programming, and particle swarm optimization) and applications (control systems, data mining and clustering, finance, weather forecasting, game theory, business and forecasting applications). It offers a valuable resource for both young and experienced researchers dealing with complex and intricate real-world problems that are difficult to solve using traditional methods.