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This book contains extended versions of research papers presented at the international sessions at the 35th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI2021), which was held online from June 8-11, 2021. The JSAI annual conferences are considered key events for our organization, and the international sessions held at these conferences play a key role for the society in its efforts to share Japan's research on artificial intelligence with other countries. The topics of the international sessions in JSAI2021 cover five categories: knowledge engineering, machine learning, agents, robots and real worlds, and human interface and education aid. From the papers submitted to those categories, papers of high quality were selected through the strict reviewing procedure. As a result, 19 papers are included in this book. From this book, readers can get an overview of recent Japan's research on artificial intelligence.
(source: Nielsen Book Data)

• Ethical AI.- An Explanation Module for Deep Neural Networks Facing Multivariate Time Series Classification.- Privacy-preserving in Double Deep-Q-Network with differential privacy in Continuous Spaces.- HESIP: a Hybrid System for Explaining Sub-symbolic Predictions.- An Explainable Recommendation Based on Acyclic Paths in an Edge-Colored Graph.- Knowledge Transfer for Deep Reinforcement Agents in General Game Playing.- GSMI: A Gradient Sign Optimization Based Model Inversion Method.- Multicollinearity Correction and Combined Feature Effect in Shapley Values.- Does a Face Mask Protect my Privacy? Using Deep Learning to Predict Protected Attributes from Masked Face Images.- Representation-Induced Algorithmic Bias: An empirical assessment of behavioural equivalence over 14 reinforcement learning algorithms across 4 isomorphic gameform representations.- Contextual Importance and Utility: a Theoretical Foundation.- Deeper Insights into Neural Nets with Random Weights.- Applications.- De Novo Molecular Generation with SBiAAE.- Tailoring Contact Based Scoring Functions for Protein Structure Prediction.- Evaluation of Deep Learning Techniques on a Novel Hierarchical Surgical Tool Dataset.- Feature Extraction Using Wavelet Scattering Transform Coefficients for EMG Pattern Classification.- Modelling Eye-gaze Movement using Gaussian Auto-regression Hidden Markov.- Strategies Improve Social Welfare: An Empirical Study of Strategic Voting in Social Networks.- A Network-based Rating Mechanism Against False-Name Attack.- Modular Construction Planning using Graph Neural Network Heuristic Search.- Priority-based Traffic Management Protocol for Autonomous Vehicles on Road Network.- Improving Traffic Load Prediction with Multi-Modality: A Case Study of Brisbane.- Predicting Geological Material Types with Ground Penetrating Radar
• .- A Gated Recurrent Neural Network for Electric Vehicle Detection with Imbalanced Samples
• .- User-Defined Smart Contracts using Answer Set Programming.- Predicting Financial Literacy via Semi-supervised Learning.- Machine Teaching-based Efficient Labelling for Cross-unit Healthcare Data Modelling.- Predicting COVID-19 Patient Shielding: A Comprehensive Study.- Machine learning algorithms in application to COVID-19 severity prediction in patients.- Identifying the effective restriction and vaccination policies during the COVID-19 crisis in Sydney: A machine learning approach.- Beyond Topics: Discovering Latent Healthcare Objectives from Event Sequences.- Predicting Outcomes for Cancer Patients with Transformer-based Multi-task Learning.- Deep Reinforcement Learning for DynamicThings of Interest Recommendation in Intelligent Ambient Environment.- A Self-Learning Approach for Baggiatoa Coverage Estimation in Aquaculture.- Real-time prediction of the lane-based delay for group-based adaptive traffic operations using Long Short-Term Memory.- Exploring Transformers for Intruder Detection in Complex Maritime Environment.- Transfer Learning Assisted GPHH for Dynamic Multi-Workflow Scheduling in Cloud Computing.- Automated Image Classification in the Diagnosis of Knee MRI.- Classical AI.- Analysing multiobjective optimization using evolutionary path length correlation.- Decentralizing Self-organizing Maps.- A heuristic repair algorithm for the maximum stable marriage problem with ties and incomplete lists.- The Hierarchical Discrete Learning Automaton Suitable for Environments with Many Actions and High Accuracy Requirements.- Hybrid Grouping Genetic Algorithm for Large-scale Two-Level Resource Allocation of Containers in the Cloud.- Transfer Learning for Autonomous Recognition of Swarm Behaviour in UGVs.- Multivariate Ordinal Patterns for Symmetry Approximation in Dynamic Probabilistic Relational Models.- A Hybrid Multiagent-based Rescheduling Mechanism for Open and Stochastic Environments Concerning the Execution Stage.- BiES: Adaptive Policy Optimization for Model-based Offline Reinforcement Learning.- Improvement of Arc Consistency in Asynchronous Forward Bounding algorithm.- Computer Vision and Machine Learnin.- GAN-Assisted YUV Pixel Art Generation.- Investigating Active Positive-Unlabeled Learning with Deep Networks.- UFO RPN: A Region Proposal Network for Ultra Fast Object Detection.- Accurate New Zealand Wildlife Image Classification- Deep learning approach.- Better Self-training for Image Classification through Self-supervision.- Video-based Student Engagement Estimation via Time Convolution Neural Networks for Remote Learning.- Eye Movement and Visual Target Synchronization Level Detection Using Deep Learning.- Vehicle Detection Based on Cascade Deep Learning Method Using Deformed Oriented Bounding Box.- Improving Evolutionary Generative Adversarial Networks.- Natural Language Processing and Data Mining.- Focus-based Text Summarization with Hybrid Embeddings.- An Empirical Study of Fuzzy Decision Tree for Gradient Boosting Ensemble.- SimSCL : A Simple fully-Supervised Contrastive Learning Framework for Text Representation.- KPCR: Knowledge graph enhanced Personalized Course Recommendation.- Probabilistic Term Weighting based on Three-Way Decisions for Class Based Feature Selection.- LTWNN: A Novel Approach using Sentence Embeddings for Extracting Diverse Concepts in MOOCs
• .- ETBTRank: Ranking Biterms in Paper Titles for Emerging Topic Discovery.- Network Analysis.- Inference of Geological Material Groups Using Structural Monitoring Sensors on Excavators.
• (source: Nielsen Book Data)

This book constitutes the proceedings of the 34th Australasian Joint Conference on Artificial Intelligence, AI 2021, held in Sydney, NSW, Australia, in February 2022.* The 64 full papers presented in this volume were carefully reviewed and selected from 120 submissions. The papers were organized in topical sections named: Ethical AI, Applications, Classical AI, Computer Vision and Machine Learning, Natural Language Processing and Data Mining, and Network Analysis. *The conference was postponed from December 2021 to February 2022 and held virtually due to the COVID-19 pandemic.
(source: Nielsen Book Data)

• Artificial General Intelligence.- Artificial Intelligence.-Natural language processing. Knowledge representation and reasoning.- Cognitive science.- Intelligent agents.- Multi-agent systems.- Cognitive robotics.- Computer vision.- Machine learning.- Unsupervised learning.- Reinforcement learning.- Transfer learning. Deep learning.- Neural networks. Probabilistic graphical models.- Inductive learning.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 14th International Conference on Artificial General Intelligence, AGI 2021, held as a hybrid event in San Francisco, CA, USA, in October 2021.The 36 full papers presented in this book were carefully reviewed and selected from 50 submissions. The papers cover topics from foundations of AGI, to AGI approaches and AGI ethics, to the roles of systems biology, goal generation, and learning systems, and so much more.
(source: Nielsen Book Data)

• Machnine learning for Sentiment Analysis Using Algerian DialectDo We Need Change Detection for Dynamic Optimization Problems?
• Recognizing Arabic handwritten literal amount using Convolutional Neural Networks
• A Novel Separable Convolution Neural Networkfor Human ActivityRecogni tion
• Image processing: Image compression using compressed sensing, discrete cosine transform and wavelet transform
• On the use of the convolutional autoencoder for Arabic writer identification using handwritten text fragments
• Local Directional Strength Pattern for effective Offline Handwritten Signature Verification
• Sentiment Analysis of Algerian Dialect Using a Deep Learning Approach
• Hybrid Approach to WebRTC Videoconferencing on Mobile Devices
• The Internet of Things Security Challenges: Survey
• A CBR approach based on ontology to supplier selection
• A Comparative Study between the Two Applications of the Neural Network and Space Vector PWM for Direct Torque Control of a DSIM Fed by Multi-Level Inverters
• Control the Degree of Observability in GPS-INS Integration Based the Extended Kalman Filter For land-vehicle navigation
• Multi Agent Systems based CPPS - An Industry 4.0 Test Case
• RONI-based Medical Image Watermarking using DWT and LSB Algorithm
• A Study of Wireless Sensor Networks Based Adaptive Traffic Lights Control
• Multi-agents Communities Based Routing Algorithm: A routing protocol proposition for UAVs network
• Forwarding Strategies in NDN-based IoT Networks: A Comprehensive Study
• Multi-Robot Visual Navigation Structure based on Lukas-Kanade Algorithm
• Modeling and Simulation of Urban Mobility in a Smart City
• A Novel Methodology For Geovisualizing Epidemiological Data
• OAIDS: An Ontology-Based Framework for Building an Intelligent Urban Road Traffic Automatic Incident Detection System
• Prediction of Cancer Clinical Endpoints Using Deeplearning and RPPA data
• Clustering Educational Items from Response Data using Penalized Pearson coefficient and deep autoencoders
• A social media approach for improving decision-making systems
• A Comprehensive Study of Multicast Routing Protocols in the Internet of Things
• Dilated Convolutions based 3D U-net for Multi-Modal Brain Image Segmentation
• Artificial intelligent in upstream oil and gas industry: a review of applications, challenges and perspectives
• GA-based approaches for Optimization energy and coverage in wireless sensor net work: State of the art
• Data-Intensive Scientific Workflow Scheduling Based on Genetic Algorithm in Cloud Computing
• Machine Learning Algorithms for Big Data Mining Processing: A review
• New Approach for Multi-Valued Mathematical Morphology Computation
• Machine Learning Based Indoor Localization using WiFi and Smartphone in a Shopping Malls
• An external archive guided NSGA-II algorithm for Multi-Depot Green Vehicle Routing Problem
• A hybrid LBP-HOG model and naive Bayes classifier for knee osteoarthritis detection: data from the osteoarthritis initiative
• Rational Function Model Optimization Based On Swarm Intelligence Metaheuris-tic Algorithms
• Segmentation of the Breast Masses in Mammograms Using Active Contour for Medical Practice: AR based surgery
• Interval versus Histogram of Symbolic Representation Based One-Class Classifierfor Offline Handwritten Signature Verification
• Image restoration using proximal-splitting methods
• Deep learning for seismic data semantic segmentation
• Maximum Power Point Tracking of a Wind Turbine Based on Artificial Neural Networks and Fuzzy Logic Controllers
• Deep approach based on user's profile analysis for capturing user's interests
• A Comparative Study Of Road Traffic Forecasting Models
• Road Segments Traffic Dependencies Study Using Cross-Correlation
• Ball bearing monitoring using decision-tree and adaptative nero-fuzzy inference system
• Real-time speed control of a mobile robot using PID controller
• Ranking social media news feeds: A comparative study of Personalized and Non-Personalized prediction models
• Residual Neural Network for Predicting Super-enhancers on Genome Scale,
• A CNN approach for the identification of dorsal veins of the hand
• Security issues in self-organized ad-hoc networks (MANET, VANET, and FANET): A survey
• Auto-Scaling, Efficient and Cost Effective Architecture in Apache Hadoop
• Applying Artificial intelligence techniques for predicting amount of CO2 emissions from calcined cement raw materials
• Deep Neural networks based TensorFlow Model for IoT lightweight cipher at tack
• Feature Fusion for Kinship Verification based on Face Image Analysis
• Digital Text Authentication Using Deep Learning: Proposition for the Digital Quranic Text.
• (source: Nielsen Book Data)

This book contains the proceedings of the second edition of the international Conference on Artificial Intelligence and its Applications (AIAP'21). This edition aims to bring together leading academic scientists, international researchers, and practitioners to exchange and share their experiences and research results on all aspects of Artificial Intelligence. It also provides an interdisciplinary platform for researchers, practitioners and students to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Artificial Intelligence. This international conference offers an opportunity to bridge the gap between the Artificial Intelligence research community and people from the industry or working in other research areas including smart cities, big data, cloud computing, social networks, and energy.
(source: Nielsen Book Data)

• Theme 1 - Vision.- Theme
• 2- Analytics.- Theme 3 - Robotics.- Theme 4 - Networking.- Theme 5 - Health Care and Analytics for COVID -19 Issues, Challenges and its Solutions.
• (source: Nielsen Book Data)

This book constitutes refereed proceedings of the 3rd International Conference on Recent Trends in Advanced Computing - Artificial Intelligence and Technologies. This book covers a wide range of topics-vision, analytics, robotics, networking, health care, current pandemic issues of COVID-19, and cutting-edge technologies connected to cybersecurity in digital manufacturing and Industry 4.0. The contents of this book will be useful to researchers from industry and academia. The volume includes novel contributions and the latest developments from researchers across industry and academia. The book will serve as a valuable reference resource for academics and researchers across the globe.
(source: Nielsen Book Data)

• Deep Learning and Neural Networks.- Machine Learning.- Computer Vision.- Knowledge Representation and Reasoning.- Probabilistic Reasoning.- Statistical Learning.- Reinforcement Learning.- Decision Making.- Fuzzy Systems.- Evolutionary Computing.- Inference and Prediction.- Human-Inspired Learning and Computing.- Autonomous Vehicle.- Data Mining.- Spoken Language Processing.- Pattern Analysis and Recognition.- Robotics.- AI for Sensing.- AI for Communications.- AI for Internet of Things.- AI for Signal Processing.- AI for Education.- AI for Healthcare.- AI for Other Applications.
• (source: Nielsen Book Data)

This book brings together papers presented at the 3rd International Conference on Artificial Intelligence in China (ChinaAI), which provides a venue to disseminate the latest developments and to discuss the interactions and links between these multidisciplinary fields. Spanning topics covering all topics in Artificial Intelligence with new development in China, this book is aimed at undergraduate and graduate students in Electrical Engineering, Computer Science and Mathematics, researchers and engineers from academia and industry as well as government employees (such as NSF, DOD, DOE, etc).
(source: Nielsen Book Data)

• AI in the Humanities and Society.- AI in and for Information Systems.- Computer Vision and Image Processing.- Deep Learning.- Knowledge Representation and Reasoning.- Machine Learning.- Philosophy and Ethics of AI.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the Second Southern African Conference on Artificial Intelligence Research, SACAIR 2021, held in Durban, South Africa, in December 2021. Due to the COVID-19 pandemic the SACAIR 2021 was held online. The 22 papers presented were thoroughly reviewed and selected from the 70 submissions. They are organized on the topical sections on AI in the humanities and society, AI in and for information systems, computer vision and image processing, deep learning, knowledge representation and reasoning, machine learning, philosophy and ethics of AI.
(source: Nielsen Book Data)

This book constitutes the proceedings of the XVI Multidisciplinary International Congress on Science and Technology (CIT 2021), held in Quito, Ecuador, on June 14-18, 2021, proudly organized by Universidad de las Fuerzas Armadas ESPE in collaboration with GDEON. CIT is an international event with a multidisciplinary approach that promotes the dissemination of advances in science and technology research through the presentation of keynote conferences. In CIT, theoretical, technical, or application works that are research products are presented to discuss and debate ideas, experiences, and challenges. Presenting high-quality, peer-reviewed papers, the book discusses the following topics: Artificial Intelligence Computational Modeling Data Communications Defense Engineering Innovation, Technology, and Society Managing Technology & Sustained Innovation, and Business Development Security and Cryptography Software Engineering .
(source: Nielsen Book Data)

This book constitutes the proceedings of the XVI Multidisciplinary International Congress on Science and Technology (CIT 2021), held in Quito, Ecuador, on June 14-18, 2021, proudly organized by Universidad de las Fuerzas Armadas ESPE in collaboration with GDEON. CIT is an international event with a multidisciplinary approach that promotes the dissemination of advances in science and technology research through the presentation of keynote conferences. In CIT, theoretical, technical, or application works that are research products are presented to discuss and debate ideas, experiences, and challenges. Presenting high-quality, peer-reviewed papers, the book discusses the following topics: Artificial Intelligence Computational Modeling Data Communications Defense Engineering Innovation, Technology, and Society Managing Technology & Sustained Innovation, and Business Development Security and Cryptography Software Engineering.
(source: Nielsen Book Data)

• Capable of classifying the tuples with wireless attacks detection using Machine Learning.- Fault Diagnosis of Combustion Engines in MTU 16VS4000-G81 Generator Sets Using Fuzzy Logic: An Approach to Normalize Specific Fuel Consumption.- DDoS attack preventing and detection with the artificial intelligence.- Iris Recognition using Supervised Learning based on Matching Features.- Convolutional Neural Network for Segmentation of Single Cell Gel Electrophoresis Assay.- Evaluation of Human SCD test by Digital Image Analysis.- Machine Vision-based Expert System for Automated Skin Cancer Detection.- AI Used to Identify Car Accident Morbidity and Mortality Risk Factors in Dubai UAE.- Toward automatic water pollution analysis: A machine learning approach for water-quality monitoring through pattern classification of water crystallization.- Evaluation of human pose estimation in 3D with monocular camara for clinical appli-cation.- On the performance of preconditioned methods to solve Lp-norm phase unwrapping.
• (source: Nielsen Book Data)

This book constitutes the proceedings of the 4th International Symposium on Intelligent Computing Systems, ISICS 2022, held in Santiago, Chile, in March 2022. Due to the COVID-19 pandemic the conference was held online. The 9 full papers along with 2 short papers presented in this volume were carefully reviewed and selected from 30 submissions. They deal with the field of intelligent computing systems focusing on artificial intelligence, computer vision and image processing.
(source: Nielsen Book Data)

• Deep Learning.- A Critical Analysis of Deep Learning Architectures For Classifying Breast Cancer Using Histopathology Images.- Patch-based Convolutional Neural Network for Localized MRI Brain Segmentation.- Facial Recognition through Localized Siamese Convolutional Neural Networks.- Classification and Pattern Recognition 4 Face Recognition In Databases of images With Hidden Markov's Models.- Brain MRI Segmentation using Autoencoders.- Effective Feature Selection for Improved Prediction of Heart Disease.- Convolutional Neural Network Feature Extraction for EEG Signal Classification.- Contents 8 Race recognition using enhanced local binary pattern.- Detection and Classiffication of Coffee Plant Diseases by Image Processing and Machine Learning.- Plant Diseases Detection and Classification using Transfer Learning.- Neural Networks and Support Vector Machines.- Hybridised Loss Functions for Improved Neural Network Generalisation.- Diverging Hybrid and Deep Learning Models into Predicting Students' Performance in Smart Learning Environments.- Combining Multi-Layer Perceptron and Local Binary Patterns for Thermite Weld Defects Classiffcation.- An Elliptic Curve Biometric based User Authentication Protocol for Smart Homes using Smartphone.- Efficient Subchannel and Power Allocation in Multi-cell Indoor VLC Systems Sylvester.- Autonomic IoT: Towards Smart System Components with Cognitive IoT Justice.- Study of Customer Sentiment towards Smart Lockers Colette.
• (source: Nielsen Book Data)

This book constitutes the refereed post-conference proceedings of the First International Conference on Pan-African Intelligence and Smart Systems, PAAISS 2021, which was held in Windhoek, Namibia, in September 2021. The 17 revised full papers presented were carefully selected from 41 submissions. The theme of PAAISS 2021 was "Advancing AI research in Africa" and the papers are arranged according to subject areas: Deep Learning; Classification and Pattern Recognition; Neural Networks and Support Vector Machines; Smart Systems.
(source: Nielsen Book Data)

• Operator of Connection Between the Langmuir Equation and Oparin's Kinematic Equation for Pendulum-Type Waves. Part I.- Operator of Connection Between the Langmuir Equation and Oparin's Kinematic Equation for Pendulum-Type Waves. Part II.- Operator of Connection Between the Langmuir Equation and Oparin's Kinematic Equation for Pendulum-Type Waves. Part III.- On Algorithms of Digital Simulators in Education.- Problems and Risks of the It Outsourcing Market in Russia.- Investment Prospects for Renewable Energy Projects in the Republic of Buryatia.- Software Development Technology for Predictive Analysis of the Functioning of Credit Institutions.- Method for Assessing Organization System Quality.- Analysis of the Management of Sector "Security" as Part of the Strategic Management of Bulgaria.- Circular Economy (CE) Innovation and Internationalization of Small and Medium Enterprises (SMEs): Geographical Overview and Sectorial Patterns.- Methodology for Evaluating the Effectiveness of Implementing Investments in Lean Enterprise Production.- Perfection of the Process of Interaction of Various Types of Transport in the Far Eastern Transport Hubs.
• (source: Nielsen Book Data)

This book presents the proceedings of the International Science and Technology Conference "FarEastCon 2021, " which took place on October 5-8, 2021, in Vladivostok, Russian Federation. The book discusses modern achievements and promising research in the sphere of intelligent technologies in solving real, applied problems in various fields of industry and economic policies of different countries. Featuring selected papers from the conference, this book is of interest to experts in various fields whose work involves developing innovative solutions and increasing the efficiency of economic activities.
(source: Nielsen Book Data)

• Utilising BIM in Construction Safety Planning: A Systematic Review.- Exploring Regulation of Entry in the Construction Sector in South Africa.- Benefits of BIM in Reducing Errors in Indian Construction Projects.- Stakeholder Management in Public-Private-Partnership Projects: A Review.- The Role of a Quantity Surveyor Throughout the Lifecycle of a Construction Project.
• (source: Nielsen Book Data)

This book gathers outstanding research papers presented in the 2nd International Conference on Artificial Intelligence: Advances and Application (ICAIAA 2021), held in Poornima College of Engineering, Jaipur, India during 27-28 March 2021. This book covers research works carried out by various students such as bachelor, master and doctoral scholars, faculty and industry persons in the area of artificial intelligence, machine learning, deep learning applications in healthcare, agriculture, business, security, etc. It will also cover research in core concepts of computer networks, intelligent system design and deployment, real time systems, WSN, sensors and sensor nodes, SDN, NFV, etc.
(source: Nielsen Book Data)

• Deep Learning Based Early Diagnosis for SARS-CoV-2 Using Chest X-Ray Images.- Deep Learning-based Image Captioning using to Recognize Malicious or Emergency Activity in an Image.- Deep Learning Approaches for Personal Identification based on EGG Signals.- Research on Vehicle Detection Algorithm Based on Improved YOLO.- Deep Learning Quantitative-Trading-Models' Performance Assessment: The Egyptian Exchange Stock Market As a Case Study.- Robust Crosswalk Detection Using Deep Learning Approach.- Human Trafficking Solution by Deep Learning with Keras and OpenCV.- Automatic Insulator String and Disk Detection in Aerial Images Based on a Deep Learning Approach.- Reducing Voltage Sag in Electrical Distribution System Through Comparison and Simulation between DVR and DSTATCOM.- Understating Factors Affecting Traveling During Covid-19 using Sentiment Analysis.- Factors Affecting the Adoption of Technology in Education System: Case of GCC Universities.- Comparison between Filtering Estimation with Evidence and Prediction Filtering without Evidence to Predict a Robot localization States.
• (source: Nielsen Book Data)

This proceeding book constitutes the refereed proceedings of the 7th International Conference on Advanced Intelligent Systems and Informatics (AISI 2021), which took place in Cairo, Egypt, during December 11-13, 2021, and is an international interdisciplinary conference that presents a spectrum of scientific research on all aspects of informatics and intelligent systems, technologies, and applications.
(source: Nielsen Book Data)

• Foundations of Graph Path Query Languages.- On Combining Ontologies and Rules.- Modelling Symbolic Knowledge using Neural Representations.- Mining the Semantic Web with Machine Learning: main issues that need to be known.- Temporal ASP: from logical foundations to practical use with telingo.- A Review of SHACL: From Data Validation to Schema Reasoning for RDF Graphs.- Score-Based Explanations in Data Management and Machine Learning: An Answer-Set Programming Approach to Counterfactual Analysis.
• (source: Nielsen Book Data)

The purpose of the Reasoning Web Summer School is to disseminate recent advances on reasoning techniques and related issues that are of particular interest to Semantic Web and Linked Data applications. It is primarily intended for postgraduate students, postdocs, young researchers, and senior researchers wishing to deepen their knowledge. As in the previous years, lectures in the summer school were given by a distinguished group of expert lecturers.The broad theme of this year's summer school was again "Declarative Artificial Intelligence" and it covered various aspects of ontological reasoning and related issues that are of particular interest to Semantic Web and Linked Data applications. The following eight lectures were presented during the school: Foundations of Graph Path Query Languages; On Combining Ontologies and Rules; Modelling Symbolic Knowledge Using Neural Representations; Mining the Semantic Web with Machine Learning: Main Issues That Need to Be Known; Temporal ASP: From Logical Foundations to Practical Use with telingo; A Review of SHACL: From Data Validation to Schema Reasoning for RDF Graphs; and Score-Based Explanations in Data Management and Machine Learning. .
(source: Nielsen Book Data)

• Air Quality Prediction using Machine Learning.- Machine Learning Based Ensemble Network Security System.- Machine Learning based Air Pollution Prediction.- Intelligent IoT-based Product Dispenser and Billing System.- Speech Emotion Recognition using K-Nearest Neighbor Classifier.- Variants of Fuzzy C-means on MRI Modality for Cancer Image Archives.- Medical Image Encryption using SCAN Technique and Chaotic Tent Map System.- An Approach to Noisy Synthetic Color Image Segmentation using Unsupervised Competitive Self Organizing Map.- Implementing Face Search using HAAR cascade.- A Fast Block-based Technique to Detect Copy-move Forgery in Digital Images.- Bottlenecks in Finite Impulse Response Filter Architectures on a Reconfigurable Platform.- A Detail Analysis and Implementation of HAAR Cascade Classifier.- Sentiment Analysis of Twitter Posts in English, Kannada and Hindi Languages.- An Efficient Algorithm for Fruit Ripeness Detection.- A Comparative Study of Efficient Classification Models.- A Neural Attention Model for Automatic Question Generation using Dual Encoders.
• (source: Nielsen Book Data)

This book presents select proceedings of the International Conference on Artificial Intelligence and Data Engineering (AIDE 2020). Various topics covered in this book include deep learning, neural networks, machine learning, computational intelligence, cognitive computing, fuzzy logic, expert systems, brain-machine interfaces, ant colony optimization, natural language processing, bioinformatics and computational biology, cloud computing, machine vision and robotics, ambient intelligence, intelligent transportation, sensing and sensor networks, big data challenge, data science, high performance computing, data mining and knowledge discovery, and data privacy and security. The book will be a valuable reference for beginners, researchers, and professionals interested in artificial intelligence, robotics and data engineering.
(source: Nielsen Book Data)

• Music Recommendation Engine Using Emotion Synthesis Through Facial Recognition.- Indian Alphabets and Digits Sign Recognition using Pre-trained Model.- An efficient Information retrieval technique for Document Classification.- A Featurized Learning Approach for Health Monitoring in Hydraulic Systems Using Multivariate Time Series Data.- Lockdown phases and changing clusters of Indian states with respect to number of cases of COVID-19.- Non-invasive Measurement of Blood Sugar using Near-Infrared Spectroscopy.- Contemporary Technique for Detection of Brain Tumor in fluid Attenuated Inversion Recovery MRI Images.- Deep Learning Network for Face Identification across Illumination and Blur.- Use of Thermal Images for Face Mask Detection with Deep CNN.- Cardiovascular Disease Prediction using Machine Learning with Flask API.- An Ensemble CNN model for Identification of Diabetic Retinopathy Eye Disease.- Efficient Email classification Algorithm for Better Customer Support.- Efficient Email classification Algorithm for Better Customer Support.- Machine Learning for Detection of Obstructive Sleep Apnea.- Mammogram Image Fusion Using Sigmoidal Function and Max. Fusion Rule.- Impact of Climate Change and Land Cover on the Run-off Estimation Using SWAT Modelling.- Breast Cancer Prediction using Machine Learning Techniques.- Crime Rate Analysis and Prediction in Delhi using Facebook Prophet.- A generic Blockchain-based Remote Clinical Monitoring Framework through Wearable devices to mitigate the COVID-19 pandemic.- Detecting Face Mask for Prevent Covid 19 Using Deep Learning: A Novel Approach.- Different Feature Selection Methods Performance Analysis for Intrusion Detection.- Framework for Diabetic Retinopathy Classification.- Support Vector MachineClassification of Remote Sensing Images with the Wavelet based Statistical features.
• (source: Nielsen Book Data)

The proceeding presents best selected papers presented at 5th International Conference on Smart Computing and Informatics (SCI 2020), held at Department of Computer Science and Engineering, Vasavi College of Engineering, Hyderabad, Telangana, India, during 17 - 18 September 2021. It presents advanced and multi-disciplinary research towards the design of smart computing and informatics. The theme is on a broader front focuses on various innovation paradigms in system knowledge, intelligence and sustainability that may be applied to provide realistic solutions to varied problems in society, environment and industries. The scope is also extended towards the deployment of emerging computational and knowledge transfer approaches, optimizing solutions in various disciplines of science, technology and healthcare. The work is published in two volumes.
(source: Nielsen Book Data)

• An Analytical Study of Covid-19 Dataset using Graph-Based Clustering Algorithms.- Development of Different Word Vectors and Testing using Text Classification Algorithms for Telugu.- Online Malayalam Script Assortment And Pre-Processing For Building Recommender Systems.- Design and synthesis of random number generator using LFSR.- A Flexible Accession on Brain Tumour Detection and Classification using VGG16 model.- Advertisement Click Fraud Detection Using Machine Learning Algorithms.- Artificial Intelligence for on-site detection of invasive Rugose Spiralling Whitefly in Coconut Plantation.- Analysis of different methodologies for Sentiment in Hindi Language.- A dynamic model and algorithm for real time traffic management.- A Selection-Based Framework for Building and Validating Regression Model for Covid-19 Information Management.- Fingerprint Liveliness Detectionto Mitigate Spoofing Attacks Using Generative Networks in Biometric System.- Pulmonary Nodule Detection using Laplacian of Gaussian and Deep Convolutional Neural Network.
• (source: Nielsen Book Data)

The proceeding presents best selected papers presented at 5th International Conference on Smart Computing and Informatics (SCI 2021), held at Department of Computer Science and Engineering, Vasvi College of Engineering, Hyderabad, Telangana, India, during 17 - 18 September 2021. It presents advanced and multi-disciplinary research towards the design of smart computing and informatics. The theme is on a broader front focuses on various innovation paradigms in system knowledge, intelligence and sustainability that may be applied to provide realistic solutions to varied problems in society, environment and industries. The scope is also extended towards the deployment of emerging computational and knowledge transfer approaches, optimizing solutions in various disciplines of science, technology and healthcare. The work is published in two volumes.
(source: Nielsen Book Data)

• Knowledge Discovery and Pattern Mining.- Fast Mining of Top-k Frequent Balanced Association Rules.- Towards Increasing Open Data Adoption through Stream Data Integration and Imputation.- Towards Efficient Discovery of Periodic-Frequent Patterns in Columnar Temporal Databases.- Data-Driven Simulation of Ride-Hailing Services using Imitation and Reinforcement Learning.- Discovering Spatial High Utility Itemsets in High-Dimensional Spatiotemporal Databases.- A Single-Stage Tree-Structure-Based Approach to Determine Fuzzy Average-Utility Itemsets.- Mining Episode Rules From Event Sequences Under Non-Overlapping Frequency.- Distributed mining of high utility time interval sequential patterns with multiple minimum utility thresholds.- Artificial Intelligence and Machine Learning.- Emergency Analysis: Multitask Learning with Deep Convolutional Neural Networks for Fire Emergency Scene Parsing.- Comparison of Consolidation Methods for Predictive Learning of Time Series.- Evolutionary Optimization of Convolutional Neural Network Architecture Design for Thoracic X-Ray Image Classification.- Understanding the Effects of Mitigation on De-identified Data.- Combining Siamese Network and Correlation Filter for Complementary Object Tracking.- Closed-Form Expressions for Global and Local Interpretation of Tsetlin Machines.- Explainable Reinforcement Learning with the Tsetlin Machine.- Sematic, Topology, and Ontology Models.- Semantic Technologies towards Missing Values Imputation.- An Improved Integer Programming Formulation for Inferring Chemical Compounds with Prescribed Topological Structures.- Automatic Classification for Ontology Generation by Pretrained Language Model.- Deep Learning Architecture for Topological Optimized Mechanical Design Generation with Complex Shape Criterion.- Computational Ontology and BIM Technology in Data-Driven Indoor Route Planning.- Collaborative Maintenance of EDOAL Alignments in VocBench.- DIK
• G2: a Semantic Data Integration Approach for Knowledge Graphs Generation from Web Forms.- Ontology-based Resume Searching System for Job Applicants in Information Technology.- An Approach to Expressing Metamodels' Semantics in a Concept System.- Medical and Health-Related Applications.- Birth-death MCMC Approach for Multivariate Beta Mixture Models in Medical Applications.- Intelligent Asthma Self-Management System for Personalised Weather-based Healthcare using Machine Learning.- Deep Forecasting of COVID
• -19: Canadian Case Study.- COVID-19 Genome Analysis using Alignment-Free Methods.- Deep Efficient Neural Networks for Explainable COVID-19 detection on CXR Images.- Predicting Psychological Distress from Ecological Factors: A Machine Learning Approach.- Graphic and Social Network Analysis.- Configuration model of employee competences in a social media team.- The Extended Graph Generalization as a Representation of the Metamodels' Extensional Layer.- WawPart: Workload-Aware Partitioning of Knowledge Graphs.- Analysis of Sentimental Behaviour over Social Data Using Machine Learning Algorithms.- Signal and Bioinformatic Processing.- A Large-scale Dataset for Hate Speech Detection on Vietnamese Social Media Texts.- Determining 2-Optimality Consensus for DNA structure.- Evolutionary Computation.- Utilizing Center-Based Sampling Theory to Enhance Particle Swarm Classification of Textual Data.- Conditional Preference Networks: Refining Solution Orderings beyond Pareto Dominance.- Enhancing Multi-Objective Evolutionary Neural Architecture Search with Surrogate Models and Potential Point-Guided Local Searches.- Insightful and Practical Multi-Objective Convolutional Neural Network Architecture Search with Evolutionary Algorithms.- Method for Automatic Furniture Placement Based on Simulated Annealing and Genetic Algorithm.- Attack and Security.- Recent Research on Phishing Detection through Machine Learning Algorithm.- A Transaction Classification Model of Federated Learning.- On the Assessment of Robustness of Telemedicine Applications against Adversarial Machine Learning Attacks.- A 1D-CNN Based Deep Learning for Detecting VSI-DDoS Attacks in IoT Applications.- Natural Language and Text Processing.- Hierarchical Transformer Encoders for Vietnamese Spelling Correction.- Fast and Memory-efficient TFIDF Calculation for Text Analysis of Large Datasets.- Collapsed Gibbs Sampling of Beta-Liouville Multinomial for Short Text Clustering.- Constructive and Toxic Speech Detection for Open-domain Social Media Comments in Vietnamese.- Fuzzy Inference and Theory.- The behaviour of the product t-norm in combination with several implications in Fuzzy PID controller.- Hub and Spoke Logistics Network Design for Urban Region with Clustering-Based Approach.- Sensor and Communication Networks.- Smartphone Sensor-Based Fall Detection using Machine Learning Algorithms.- IPR-SN: Intelligent Packet Routing in Satellite Networks Based on Distributed Deep Reinforcement Learning.
• (source: Nielsen Book Data)

This two-volume set of LNAI 12798 and 12799 constitutes the thoroughly refereed proceedings of the 34th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2021, held virtually and in Kuala Lumpur, Malaysia, in July 2021.The 87 full papers and 19 short papers presented were carefully reviewed and selected from 145 submissions. The IEA/AIE 2021 conference will continue the tradition of emphasizing on applications of applied intelligent systems to solve real-life problems in all areas. These areas include the following: Part I, Artificial Intelligence Practices: Knowledge discovery and pattern mining; artificial intelligence and machine learning; sematic, topology, and ontology models; medical and health-related applications; graphic and social network analysis; signal and bioinformatics processing; evolutionary computation; attack security; natural language and text processing; fuzzy inference and theory; and sensor and communication networks Part II, From Theory to Practice: Prediction and recommendation; data management, clustering and classification; robotics; knowledge based and decision support systems; multimedia applications; innovative applications of intelligent systems; CPS and industrial applications; defect, anomaly and intrusion detection; financial and supply chain applications; Bayesian networks; BigData and time series processing; and information retrieval and relation extraction.
(source: Nielsen Book Data)