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• Advances in Intelligent Systems (Lakhmi C Jain and Kazumi Nakamatsu)
• Stability, Chaos and Limit Cycles in Recurrent Cognitive Reasoning Systems (Aruna Chakraborty, Amit Konar, Pavel Bhowmik and Atulya K Nagar)
• Some Studies on Data Mining (Dilip Kumar Pratihar)
• Rough Non-Deterministic Information Analysis for Uncertain Information (Hiroshi Sakai, Hitomi Okuma, Mao Wu and Michinori Nakata)
• Metamathematical Limits to Computation (N C A da Costa and F A Doria)
• Hypothesis Refinement: Building Hypotheses in an Intelligent Agent System (Gauvain Bourgne, Nicolas Maudet and Suzanne Pinson)
• A Heuristic Algorithmic Procedure to Solve Allocation Problems with Fuzzy Evaluations (R Bartholo, C A N Cosenza, F A Doria and M R Doria)
• Non-Classical Logics and Intelligent Systems (Seiki Akama)
• A Paraconsistent Annotated Logic Program Before-After EVALPSN and Its Application (Kazumi Nakamatsu and Jair Minoro Abe)
• Inspecting and Preferring Abductive Models (Luis Moniz Pereira, Pierangelo Dell'Acqua, Alexandre Miguel Pinto and Goncalo Lopes)
• Supervised Neural Network Learning: From Vectors to Graphs (Monica Bianchini, Marco Maggini and Lorenzo Sarti)
• Paraconsistent Artificial Neural Networks and Applications (Jair Minoro Abe and Kazumi Nakamatsu)
• Paraconsistent Annotated Evidential Logic E and Applications in Automation and Robotics (Jair Minoro Abe and Kazumi Nakamatsu)
• Adaptive Intelligent Learning System for Online Learning Environments (Fatma Cemile Serce, Ferda Nur Alpaslan and Lakhmi C Jain)
• Automatic Test Program Generation: How Artificial Evolution May Outperform Experience (Danilo Ravotto, Ernesto Sanchez and Giovanni Squillero)
• Discovery of Communications Patterns by the Use of Intelligent Reasoning (J Fulcher, M Zhang, Q Bai and F Ren)
• Adaptive Approach to Quality Enhancement and Storage of Signatures and Fingerprint Images (Roumen Kountchev)
• Knowledge Representation for Electronic Circuits in Logic Programming (Takushi Tanaka)
• An Intelligent CBR Model for Predicting Changes in Tropical Cyclones Intensities (James N K Liu, Simon C K Shiu, Jane You and Leon S K Law)
• Analysis of Sequential Data in Tool Manufacturing of Volkswagen AG (Kemal Ince, Thomas Schneider and Frank Klawonn)
• Reasoning-Based Artificial Agents in Agent-Based Computational Economics (Shu-Heng Chen)
• Reasoning and Knowledge Acquisition from Medical Database Using Lattice SOM and Tree Structure SOM (Takumi Ichimura, Takashi Yamaguchi and Kenneth James Mackin)
• Approximate Processing in Medical Diagnosis by Means of Deductive Agents (G Fenza, D Furno, V Loia and S Senatore).
• (source: Nielsen Book Data)

This book consists of various contributions in conjunction with the keywords "reasoning" and "intelligent systems", which widely covers theoretical to practical aspects of intelligent systems. Therefore, it is suitable for researchers or graduate students who want to study intelligent systems generally.
(source: Nielsen Book Data)

• Neural Network Inputs Selection for Breast Cancer Cells Classification.- Cognitive Information Systems for Medical Pattern Analysis and Diagnosis Support Technologies.- Development of an Intelligent Facial Expression Recognizer for Mobile Applications.- INTSOM: Gray Image Compression Using an Intelligent Self-Organizing Map.- Learning a Selection Problem of Investment Projects and Capital Structure through Business Game.- Evolution Prospection.- A Proposal of Context-Aware Service Composition Method Based on Analytic Hierarchy Process.- Flexible Widget Layout Formulated as Fuzzy Constraint Satisfaction Problem.- Modelling Probabilistic Causation in Decision Making.- A Library Marketing System for Decision Making.- Analysis of Four Wheeled Flexible Joint Robotic Arms with Application on Optimal Motion Design.- Finite Element Method and Optimal Control Theory for Path Planning of Elastic Manipulators.- Belief-Based Stability in Non-transferable Utility Coalition Formation with Uncertainty.- Side-Effect Inspection for Decision Making.- Knowledge Mining with a Higher-Order Logic Approach.- A New Pruning Technique for the Fuzzy ARTMAP Neural Network and Its Application to Medical Decision Support.- Image Color Space Transform with Enhanced KLT.- Interoperable Intelligent Agents in a Dynamic Environment.- Multilingual Agents in a Dynamic Environment.- Defining a Decision-Support Framework in AC3M.- An Intelligent Decision Support System Using Expert Systems in a MAS.- Decentralized Real-Time Control Algorithms for an AGV System.- Adaptive Decision Support for Dynamic Environments.- Evaluation of the Continuous Wavelet Transform for Feature Extraction of Metal Detector Signals in Automated Target Detection.- Hypertension Detection Using a Case-Based Reasoning Approach.- Improving Medical Database Consistency with Induced Trigger Rules.- Factorization of Sparse Bayesian Networks.- Incorporating Hopfield Neural Networks into Ant Colony System for Traveling Salesman Problem.- Analysis and Diagnosis of Cardiovascular Diseases through the Paraconsistent Annotated Logic.- Hierarchical Forecasting with Polynomial Nets.- Autonomous Mobile Robot Emmy III.- Output Enhancement of Impulse Noise Filters by Edge Detection and Neuro-fuzzy Processing.- An Algebraic Version of the Monadic System C1.- Some Three-Valued Temporal Logics for Future Contingents.- to Plausible Reasoning Based on EVALPSN.- Rough Set Reducts Based Classification.- Heterogeneous Multi-agents Learning Using Genetic Network Programming with Immune Adjustment Mechanism.- Analysis of Asymmetric Friendship among Students from Class Attendance Records.- Updating Background Image for Motion Tracking Using Particle Filter.- Driver Assistance Systems to Rate Drowsiness: A Preliminary Study.- Anomaly Foreground Detection through Background Learning in Video Surveillance.- Adaptive Alarm Filtering by Causal Correlation Consideration in Intrusion Detection.- Anomaly Detection via Over-Sampling Principal Component Analysis.- Towards a New Medical Decision Support System with Bio-inspired Interpretive Structural Modelling.- Construct an Approximation Decision Model of Medical Record by Neural Networks - The Ophthalmology Department as an Example.- A Multi Model Voting Enhancement for Newborn Screening Healthcare Information System.- Design and Implementation of Mobile Electronic Medication Administration Record.- Customer Relationship Management in Healthcare Service - An Integrated DSS Framework for Patient Loyalty.- Applying Fuzzy TOPSIS Approach for Evaluating RFID System Suppliers in Healthcare Industry.- An Aspect of Decision Making in Rough Non-deterministic Information Analysis.- A Value for Multi-alternative Games with Restricted Coalitions under the Equally Divided Spoils Assumption.- Variable Accessibility Models for Modal Logic on Topological Spaces.- A Heuristic Algorithm for Selective Calculation of a Better Relative Reduct in Rough Set Theory.- Rule Induction for Decision Tables with Ordered Classes.- Dynamic Index Fund Optimization by a Heuristic GA Method Based on Correlation Coefficients.- Simulation Modeling of Emergence-of-Money Phenomenon by Doubly Structural Network.- Detecting Environmental Changes through High-Resolution Data of Financial Markets.- A Stochastic Model for Pareto's Law and the Log-Normal Distribution under the Detailed Balance and Extended-Gibrat's Law.- Effect of Reputation on the Formation of Cooperative Network of Prisoners.- A Multi-agent Wideband Signal Detector.- Bayesian Estimation of GARCH Model with an Adaptive Proposal Density.- Elucidation of Industrial Structure of the Japanese Economy through Visualization and Community Analysis.
• (source: Nielsen Book Data)

IDT (Intelligent Decision Technologies) seeks an interchange of research on intelligent systems and intelligent technologies which enhance or improve decision making in industry, government and academia. The focus is interdisciplinary in nature, and includes research on all aspects of intelligent decision technologies, from fundamental development to the applied system. It constitutes a great honor and pleasure for us to publish the works and new research results of scholars from the First KES International Symposium on Intelligent Decision Technologies (KES IDT'09), hosted and organized by University of Hyogo in conjunction with KES International (Himeji, Japan, April, 2009). The symposium was concerned with theory, design, development, implementation, testing and evaluation of intelligent decision systems. Its topics included intelligent agents, fuzzy logic, multi-agent systems, artificial neural networks, genetic algorithms, expert systems, intelligent decision making support systems, information retrieval systems, geographic information systems, and knowledge management systems. These technologies have the potential to support decision making in many areas of management, international business, finance, accounting, marketing, healthcare, military applications, production, networks, traffic management, crisis response, and human interfaces.
(source: Nielsen Book Data)

• New Approaches in Intelligent Control-Techniques, Methodologies and Applications-.- Design of Fuzzy Supervisor-based Adaptive Process Control Systems.- Intelligent Carpooling System. A Case Study for Bacau Metropolitan Area.- Naval Intelligent Authentication and Support through Randomization and Transformative Search.- Big Data Approach in an ICT Agriculture Application.- Intelligent Control Systems and Applications on Smart Grids.- Control Through Genetic Algorithms.- Knowledge-Based Intelligent Process Control.- Ciphering of Cloud Computing Environment Based New Intelligent Quantum Service.- Paraconsistent Logics and Applications.- Annotated Logics and Intelligent Control.- Paraconsistent Annotated Logic Program EVALPSN and its Application to Intelligent Control.
• (source: Nielsen Book Data)

This volume introduces new approaches in intelligent control area from both the viewpoints of theory and application. It consists of eleven contributions by prominent authors from all over the world and an introductory chapter. This volume is strongly connected to another volume entitled "New Approaches in Intelligent Image Analysis" (Eds. Roumen Kountchev and Kazumi Nakamatsu). The chapters of this volume are self-contained and include summary, conclusion and future works. Some of the chapters introduce specific case studies of various intelligent control systems and others focus on intelligent theory based control techniques with applications. A remarkable specificity of this volume is that three chapters are dealing with intelligent control based on paraconsistent logics.
(source: Nielsen Book Data)

• New Approaches in Intelligent Image Analysis- Techniques, Methodologies and Applications
• New Approaches for Hierarchical Image Decomposition, based on IDP, SVD, PCA and KPCA
• Intelligent Digital Signal Processing and Feature Extraction Methods
• Multi-Dimensional Data Clustering and Visualization via Echo State Networks
• Unsupervised Clustering of Natural Images in Automatic Image Annotation Systems
• An Evolutionary Optimization Control System for Remote Sensing Image Processing
• Tissue Segmentation Methods using 2D Histogram Modification in a Sequence of MR Brain Images
• Multistage Approach for Simple Kidney Cysts Segmentation in CT Images
• Audio Visual Attention Models in Mobile Robots Navigation
• Local Adaptive Image Processing
• Learning Techniques for Intelligent Access Control
• Experimental Evaluation of Opportunity to Improve the Resolution of the Acoustic Maps.

This book presents an Introduction and 11 independent chapters, which are devoted to various new approaches of intelligent image processing and analysis. The book also presents new methods, algorithms and applied systems for intelligent image processing, on the following basic topics: Methods for Hierarchical Image Decomposition; Intelligent Digital Signal Processing and Feature Extraction; Data Clustering and Visualization via Echo State Networks; Clustering of Natural Images in Automatic Image Annotation Systems; Control System for Remote Sensing Image Processing; Tissue Segmentation of MR Brain Images Sequence; Kidney Cysts Segmentation in CT Images; Audio Visual Attention Models in Mobile Robots Navigation; Local Adaptive Image Processing; Learning Techniques for Intelligent Access Control; Resolution Improvement in Acoustic Maps. Each chapter is self-contained with its own references. Some of the chapters are devoted to the theoretical aspects while the others are presenting the practical aspects and the analysis of the modeling of the developed algorithms in different application areas.

• Introduction
• Propositional Annotated Logics P
• Predicate Annotated Logics Q
• Formal Issues
• Variants and Related Systems
• Applications
• Conclusions.

• Machine generated contents note: 1. Introduction
• 1.1. Motivations
• 1.2. History
• 2. Propositional Annotated Logics Pτ
• 2.1. Language
• 2.2. Semantics
• 2.3. Axiomatization
• 2.4. Formal Results
• 3. Predicate Annotated Logics Qτ
• 3.1. Language
• 3.2. Semantics
• 3.3. Axiomatization
• 3.4. Formal Results
• 4. Formal Issues
• 4.1. Algebraic Semantics
• 4.2. Annotated Set Theory
• 4.3. Annotated Model Theory
• 4.4. Proof Methods
• 4.5. Annotated Modal Logics
• 5. Variants and Related Systems
• 5.1. Fuzzy Annotated Logics
• 5.2. Possibilistic Annotated Logics
• 5.3. Inductive Annotated Logics
• 5.4. Structural Annotated Logics
• 5.5. Related Systems
• 5.6. Systems of Paraconsistent Logics
• 6. Applications
• 6.1. Paraconsistent Logic Programming
• 6.2. Generalized Annotated Logic Programming
• 6.3. Knowledge Representation
• 6.4. Neural Computing
• 6.5. Automation and Robotics
• 7. Conclusions
• 7.1. Summary
• 7.2. Future Problems.

This book is written as an introduction to annotated logics. It provides logical foundations for annotated logics, discusses some interesting applications of these logics and also includes the authors' contributions to annotated logics. The central idea of the book is to show how annotated logic can be applied as a tool to solve problems of technology and of applied science. The book will be of interest to pure and applied logicians, philosophers, and computer scientists as a monograph on a kind of paraconsistent logic. But, the layman will also take profit from its reading.

• From the content: Performance analysis and comparison of the Dirac video codec with H.264/ MPEG-4, Part 10
• Linear and non-linear inverse pyramidal image representation: algorithms and applications
• Preserving data integrity of encoded medical images: the LAR compression framework
• Image Processing in medicine
• Attention in Image Sequences: Biology, Computational Models, and Applications.

The book puts special stress on the contemporary techniques for reasoning-based image processing and analysis: learning based image representation and advanced video coding; intelligent image processing and analysis in medical vision systems; similarity learning models for image reconstruction; visual perception for mobile robot motion control, simulation of human brain activity in the analysis of video sequences; shape-based invariant features extraction; essential of paraconsistent neural networks, creativity and intelligent representation in computational systems. The book comprises 14 chapters. Each chapter is a small monograph, representing resent investigations of authors in the area. The topics of the chapters cover wide scientific and application areas and complement each-other very well. The chapters' content is based on fundamental theoretical presentations, followed by experimental results and comparison with similar techniques. The size of the chapters is well-ballanced which permits a thorough presentation of the investigated problems. The authors are from universities and R & D institutions all over the world; some of the chapters are prepared by international teams. The book will be of use for university and PhD students, researchers and software developers working in the area of digital image and video processing and analysis.

• Part I: Multidimensional Signal Processing.- Multidimensional Signal Processing and its Applications.- Video Tracing of Moving Objects by Fusing Three-Term Decompositions.- Deep Learning Approaches for Classroom Audio Classification using Mel Spectrograms.- Tensor Spectral Pyramid for Color Video Sequences Representation, Based on 3D FO-AHKLT.- Electromyography Signal Acquisition, Processing, Optimization and its Applications.- Research on the Radar Signal Classification Method Based on the Deep Faith Network Model.- Measuring Machine Intelligence Using Black-Box-Based Universal Intelligence Metrics.- Part II: Applications of Multidimensional Signal Processing.- COVID Detection using ECG image reports: A survey.- Disease detection techniques in plants: transition from manual to automation.- Segmentation of Medical Images.- Development of IoT Indoor Monitoring System for Independent Elderly.- Improving the Process of Evaluating User Stories using the Paraconsistent Annotated Evidential Logic E
• Neural network algorithm applied in electrical engineering automation.- Truss Structure Optimization Design based on FE-PSO-SQP Algorithm.- Practice System of Ant Colony Optimization Algorithm in Business Administration.- Part III: Applications of Blockchain and Network Technologies.- Literature Review of Smart Contracts Using Blockchain Technology.- A comprehensive study of 5th generation scheduling algorithms.- A Comparative Analysis of Homogeneous and Heterogeneous Protocols to Maximize the Lifetime of Wireless Sensor Network for Precision Agriculture.- The Integration Development and Upgrading Path of Industry 4.0 Architecture Industrial Engineering Network Driven by Big Data.- AAS Application Prospect Analysis in Hrm and Methods to Upgrade the Contemporary System.- All Digital Phase Locked Loop and Its Blocks - A Comprehensive Knowledge.- On Realization of Smart Logistic Warehouse Management with Internet of Things.- Development and Design of Intelligent Traction System for Bulk Cargo Terminal.
• (source: Nielsen Book Data)

This book is a collection of papers presented at the International Workshop on New Approaches for Multidimensional Signal Processing (NAMSP 2022), held at Technical University of Sofia, Sofia, Bulgaria, during 23-25 June 2022. The book covers research papers in the field of N-dimensional multicomponent image processing, multidimensional image representation and super-resolution, 3D image processing and reconstruction, MD computer vision systems, multidimensional multimedia systems, neural networks for MD image processing, data-based MD image retrieval and knowledge data mining, watermarking, hiding and encryption of MD images, MD image processing in robot systems, tensor-based data processing, 3D and multi-view visualization, forensic analysis systems for MD images and many more.
(source: Nielsen Book Data)

• Title page; Dedication; Preface; Contents; Constructive Logic and Situation Theory; Hybrid Particle Swarm Optimizer with Mutation; An Improved Recursive Decomposition Ordering for Term Rewriting Systems Revisited; Data Transformation in Modern Petrol Engine Tune-up; Testing Significance in Bayesian Classifiers; Obtaining Membership Functions from a Neuron Fuzzy System Extended by Kohonen Network; EVALPSN-Based Process Control in Brewery Plants; Decision Making Based on Paraconsistent Annotated Logic; Intelligent Safety Verification for Pipeline Based on EVALPSN.

LAPTEC' 2005 promoted the discussion and interaction between researchers and practitioners focused on both theoretical and practical disciplines concerning logics applied to technology, with diverse backgrounds including all kinds of intelligent systems having classical or non-classical logics as underlying common matters.

• Intro
• Preface
• Contents
• About the Editors
• The Theory and Application of Artificial Intelligence
• A Mine Target Detection Technology Based on Artificial Intelligence Algorithm
• 1 Introduction
• 2 Overall Process
• 3 Design Scheme
• 3.1 Construction of Dataset
• 3.2 Detection Model Design
• 3.3 Small Goal Optimization
• 3.4 Model Compression
• 4 Experimental Verification
• 5 Conclusions and Prospects
• References
• Meta-learning Improves Emotion Recognition
• 1 Introduction
• 2 Description of Algorithms
• 3 Experiments with CNN
• 4 Experiments with Meta-CNN

• 5 Conclusion
• References
• Automatic Machine Learning Model Construction and Performance Validation in Face Recognition
• 1 Introduction
• 2 Dataset and Method
• 2.1 Dataset Description
• 2.2 Dataset Preprocessing
• 2.3 Proposed Approach
• 2.4 Implementation Details
• 3 Results and Discussion
• 3.1 Results
• 3.2 Discussion
• 4 Conclusion
• References
• Problem Solving and Algorithm Research of the Integration of News Media Gathering and Editing Based on Artificial Intelligence
• 1 Introduction
• 2 Methods
• 2.1 Clustering Model
• 2.2 Auxiliary Service Design

• 3 Result Analysis
• 3.1 The Realization Effect of Theme Extension
• 3.2 Realization Effect of Manuscript Background
• 4 Conclusion
• References
• ISAR Image Quality Grade Evaluation of Space Targets Based on Fusion Feature
• 1 Introduction
• 2 Image Quality Feature Extraction and Fusion
• 2.1 Overall Texture Features of Image
• 2.2 Image Detail Intensity Feature
• 2.3 Image Signal-to-Noise Ratio (SNR) Feature
• 2.4 Features Normalization and Fusion
• 3 Image Quality Evaluation Based on Machine Learning
• 3.1 Offline Training of Image Quality Evaluation Model

• 3.2 Online Evaluation of Image Quality
• 4 Experiment and Analysis
• 5 Conclusion
• References
• Research on the Key Technologies of Big Data Security and Privacy Protection in the Field Based on Artificial Intelligence
• 1 Introduction
• 2 Method
• 2.1 Big Data Security and Privacy Protection Data Processing Platform
• 2.2 Differential Privacy Data Publishing Based on Spark Framework
• 2.3 Dynamic Data Distribution of Differential Privacy Based on Fractal Dimension
• 3 Result Analysis
• 3.1 Publishing Results of Differential Privacy Data Based on Spark Framework

• 3.2 Dynamic Data Distribution Results of Differential Privacy Based on Fractal Dimension
• 4 Conclusion
• References
• Research on Explosive Shock Wave Parameters Film Test Method Based on Image Method
• 1 Introduction
• 2 Method
• 2.1 Principle Analysis
• 2.2 Design Experiment of Thin Film
• 3 Result Analysis
• 3.1 Failure Analysis
• 3.2 Relationship Between Pressure and Deformation Disturbance
• 3.3 Influencing Factors
• 4 Conclusion
• References
• Research on Chinese News Text Classification Based on ERNIE Model
• 1 Introduction
• 2 Related Work

This book features a collection of high-quality, peer-reviewed research papers presented at first 'World Conference on Intelligent and 3-D Technologies' (WCI3DT 2022), held in China during May 24-26, 2022. The book provides an opportunity for the researchers and academia as well as practitioners from industry to publish their ideas and recent research development work on all aspects of 3D imaging technologies and artificial intelligence, their applications, and other related areas. The book presents ideas and the works of scientists, engineers, educators, and students from all over the world from institutions and industries.
(source: Nielsen Book Data)

• Advances in Intelligent Systems (Lakhmi C Jain and Kazumi Nakamatsu)
• Stability, Chaos and Limit Cycles in Recurrent Cognitive Reasoning Systems (Aruna Chakraborty, Amit Konar, Pavel Bhowmik and Atulya K Nagar)
• Some Studies on Data Mining (Dilip Kumar Pratihar)
• Rough Non-Deterministic Information Analysis for Uncertain Information (Hiroshi Sakai, Hitomi Okuma, Mao Wu and Michinori Nakata)
• Metamathematical Limits to Computation (N C A da Costa and F A Doria)
• Hypothesis Refinement: Building Hypotheses in an Intelligent Agent System (Gauvain Bourgne, Nicolas Maudet and Suzanne Pinson)
• A Heuristic Algorithmic Procedure to Solve Allocation Problems with Fuzzy Evaluations (R Bartholo, C A N Cosenza, F A Doria and M R Doria)
• Non-Classical Logics and Intelligent Systems (Seiki Akama)
• A Paraconsistent Annotated Logic Program Before-After EVALPSN and Its Application (Kazumi Nakamatsu and Jair Minoro Abe)
• Inspecting and Preferring Abductive Models (Luis Moniz Pereira, Pierangelo Dell'Acqua, Alexandre Miguel Pinto and Goncalo Lopes)
• Supervised Neural Network Learning: From Vectors to Graphs (Monica Bianchini, Marco Maggini and Lorenzo Sarti)
• Paraconsistent Artificial Neural Networks and Applications (Jair Minoro Abe and Kazumi Nakamatsu)
• Paraconsistent Annotated Evidential Logic E and Applications in Automation and Robotics (Jair Minoro Abe and Kazumi Nakamatsu)
• Adaptive Intelligent Learning System for Online Learning Environments (Fatma Cemile Serce, Ferda Nur Alpaslan and Lakhmi C Jain)
• Automatic Test Program Generation: How Artificial Evolution May Outperform Experience (Danilo Ravotto, Ernesto Sanchez and Giovanni Squillero)
• Discovery of Communications Patterns by the Use of Intelligent Reasoning (J Fulcher, M Zhang, Q Bai and F Ren)
• Adaptive Approach to Quality Enhancement and Storage of Signatures and Fingerprint Images (Roumen Kountchev)
• Knowledge Representation for Electronic Circuits in Logic Programming (Takushi Tanaka)
• An Intelligent CBR Model for Predicting Changes in Tropical Cyclones Intensities (James N K Liu, Simon C K Shiu, Jane You and Leon S K Law)
• Analysis of Sequential Data in Tool Manufacturing of Volkswagen AG (Kemal Ince, Thomas Schneider and Frank Klawonn)
• Reasoning-Based Artificial Agents in Agent-Based Computational Economics (Shu-Heng Chen)
• Reasoning and Knowledge Acquisition from Medical Database Using Lattice SOM and Tree Structure SOM (Takumi Ichimura, Takashi Yamaguchi and Kenneth James Mackin)
• Approximate Processing in Medical Diagnosis by Means of Deductive Agents (G Fenza, D Furno, V Loia and S Senatore).
• (source: Nielsen Book Data)

This book consists of various contributions in conjunction with the keywords "reasoning" and "intelligent systems", which widely covers theoretical to practical aspects of intelligent systems. Therefore, it is suitable for researchers or graduate students who want to study intelligent systems generally.
(source: Nielsen Book Data)

• Masked Face Detection using Artificial Intelligent Techniques.- Object Motion Detection in Video by Fusion of RPCA and NMF Decompositions.- Hierarchical Decomposition of Third-order Tensor trough Adaptive Branched Inverse Difference Pyramid Based on 3D-WHT.- Multimodal Technique for Human Authentication using Fusion of Palm and Dorsal Hand Veins.- SIFT based Feature Matching Algorithm for Cartoon Plagiarism Detection.- Image Recognition Technology Based Evaluation Index of Ship Navigation Risk in Bridge Area.- Equalization of Directional Multidimensional Histograms of Matrix and Tensor Images.- Small Object Detection of Remote Sensing Images Based on Residual Branch of Feature Fusion.- Meta-Learning with Logistic Regression for Multi-Classification.- Measurement for Blade Edge Based on Machine Vision.
• (source: Nielsen Book Data)

This book comprises a collection of papers presented at the International Workshop on New Approaches for Multidimensional Signal Processing (NAMSP 2021), held at Technical University of Sofia, Sofia, Bulgaria, during 08-10 July 2021. The book covers research papers in the field of N-dimensional multicomponent image processing, multidimensional image representation and super-resolution, 3D image processing and reconstruction, MD computer vision systems, multidimensional multimedia systems, neural networks for MD image processing, data-based MD image retrieval and knowledge data mining, watermarking, hiding and encryption of MD images, MD image processing in robot systems, tensor-based data processing, 3D and multi-view visualization, forensic analysis systems for MD images and many more.
(source: Nielsen Book Data)

• Part 1: Invited Paper.-
• Chapter 1. Paraconsistency and Paracompleteness in AI: Review Paper.-
• Part 2: Regular Papers.-
• Chapter 2. Decision Support Multi-agent Modeling and Simulation of Aeronautic Marine Oil Spill Response.-
• Chapter 3. Transferring Dense Object Detection Models to Event-based Data.-
• Chapter 4. Diagnosing Parkinson's Disease Based on Voice Recordings: Comparative Study Using Machine Learning Techniques.-
• Chapter 5. Elements of Continuous Reassessment and Uncertainty Self-Awareness: A Narrow Implementation for Face and Facial Expression Recognition.-
• Chapter 6. Topic-aware Networks for Answer Selection.-
• Chapter 7. Design and Implementation of Multi_Scene Immersive Ancient Style Interaction System Based on Unreal Engine Platform.-
• Chapter 8. Auxiliary Figure Presentation Associated with Sweating on a Viewer's Hand in order to Reduce VR Sickness.-
• Chapter 9. Design and Implementation of Immersive Display Interactive System Based on New Virtual Reality.-
• Chapter 10. 360-Degree Virtual Reality Videos in EFL Teaching: Student Experiences.-
• Chapter 11. Research on Chinese Garden Art Appreciation Based on Virtual Technology.-
• Chapter 12. Medical-Network (Med-Net): A Neural Network for Breast Cancer Segmentation in Ultrasound Image.-
• Chapter 13. Auxiliary Squat Training Method Based on Object Tracking.-
• Chapter 14. Study on the Visualization Modeling of Aviation Emergency Rescue System Based on Systems Engineering.-
• Chapter 15. An AI-based System Offering Automatic DR-enhanced AR for Indoor Scenes.-
• Chapter 16. Extending Mirror Therapy into Mixed Reality - Design and Implementation of the application PhantomAR to alleviate phantom limb pain in upper limb amputees.-
• Chapter 17. An Analysis of Trends and Problems of Information Technology Application Research in China's Accounting Field based on CiteSpace.-
• Chapter 18. Augmented Reality Framework and Application for Aviation Emergency Rescue Based on Multi-Agent and Service. .
• (source: Nielsen Book Data)

This book gathers a collection of selected works and new research results of scholars and graduate students presented at the 6th International Conference on Artificial Intelligence and Virtual Reality (AIVR 2022) via the Internet, during July 22-24 2022, hosted and organized by Sojo University in conjunction with other three universities and Beijing Huaxia Rongzhi Blockchain Technology Institute. The focus of the book is interdisciplinary in nature and includes research on all aspects of artificial intelligence and virtual reality, from fundamental development to the applied system. The book covers topics such as system techniques, performance, and implementation; content creation and modelling; cognitive aspects, perception, user behaviour; AI technologies; interactions, interactive and responsive environments; AI/VR applications and case studies.
(source: Nielsen Book Data)

• Part I. Intelligent computing
• Part II. New generation communication and networking
• Part III. Intelligent devices. (73 papers in all)

This book gathers high-quality papers presented at the 5th International Conference on Intelligent Computing, Communication & Devices (ICCD 2019), held in Xi'an, China on November 22-24, 2019. The contributions focus on emergent fields of intelligent computing and the development of a new generation of intelligent systems. Further, they discuss virtually all dimensions of the intelligent sciences, including intelligent computing, intelligent communication and intelligent devices. .
(source: Nielsen Book Data)

• Utilization of the Open-Source Arduino Platform to Control Based on Logic Et.- Ontology Implementation of OPC UA and Automation ML: A Review.- Airport Cab Scheduling Model Based on Queuing Theory
• Machine Reading Comprehension Model Based on Multi-head Attention Mechanism.- Design of Military Physical Fitness Evaluation System based on Big Data Clustering Algorithm.- ResNet-Based Multiscale U-Net for Human Parsing.- Short-Term Electricity Price Forecast Based on SSA-SVM Model.- Research on Mobile Advertising Click-through Rate Estimation Based on Neural Network.- Research on Macroeconomic Prediction Technology Based on Wavelet Neural Network.- Design Research on Financial Risk Control Model Based on CNN.
• (source: Nielsen Book Data)

The book includes new research results of scholars from the Second International Conference on Advanced Intelligent Technologies (ICAIT 2021) subtitled Intelligent Technology and Industry organized by IRNet International Academic Communication Center, held during October 15-17, 2021. The book covers research work from active researchers who are working on collaboration of industry and various intelligent technologies such as intelligent technologies applicable/applied to manufacturing and distribution of industrial products, factory automation, business, etc. The book focuses on theory, design, development, testing, and evaluation of all intelligent technologies applicable/applied to various parts of industry and its infrastructure. The topics included are all computational intelligence techniques applicable/applied to industry, intelligent techniques in data science applicable/applied to business and management, intelligent network systems applicable/applied to industrial production, intelligent technologies applicable to smart agriculture, and intelligent information systems for agriculture.
(source: Nielsen Book Data)

• Vegetable Distribution System using Machine Learning Approach.- A Purpose of a Smart Vegetable Garden Model Based on Paraconsistent Annotated Evidential Logic E
• Paraconsistent Artificial Neural Network Applied to Agribusiness.- Research and Design on an Automatic Control System Using in Antarctic Greenhouse.- Design of Microwave Triple Frequency Multimeter Based on Multilayer MoS2.- Correlation Research on the Structure of the Apple Tree Vigor and its Fruit Quality.- Real-Time Data Transmission Design of Unmanned Aerial Vehicle Gamma Spectrometer.- 0.8GHz Low Noise Amplifier Design.- Optimization Analysis of Laying Length of Thin Wall Micro-Spray Belt under Different Slope Conditions.- L-Band Ultra-Wideband Low Noise Amplifier Design.
• (source: Nielsen Book Data)

The proceedings publishes new research results of scholars from the First International Conference on Agriculture and Information (ICAIT2019) organized by IRNet International Academic Communication Center, held during November 22-24, 2019. The book covers works from active researchers who are working on collaboration of agriculture and various information technologies such as ICT (Information and Communication Technologies) applicable/applied to agricultural produce, manufacturing preservation and distribution of agricultural products, etc. The book focuses on theory, design, development, testing and evaluation of all information technologies applicable/applied to various parts of agriculture and its infrastructure. The topics included are information technologies applicable to smart agriculture, intelligent information systems for smart farm systems, web-based intelligent information systems on agriculture, ICT-based marketing of agricultural products, agricultural product consumption network systems, IoT for agricultural produce and products, soft computing theories, intelligent management for agriculture, data science techniques for agriculture.
(source: Nielsen Book Data)