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• Deep Rapid Class Augmentation
• a New Progressive Learning Approach that Eliminates the Issue of Catastrophic Forgetting.- A Comprehensive Analysis of Subword Contextual Embeddings for Languages with Rich Morphology.- RGB and Depth Image Fusion for Object Detection using Deep Learning.- Dimension Estimation Using Autoencoders with Applications to Financial Market Analysis.- A New Clustering-Based Technique for the Acceleration of Deep Convolutional Networks.- Deep Learning based Time Series Forecasting.- DEAL: Deep Evidential Active Learning for Image Classification.- LB-CNN: Convolutional Neural Network with Latent Binarization for Large Scale Multi[1]class Classification.- Efficient Deployment of Deep Learning Models on Autonomous Robots in the ROS Environment.- Building Power Grid 2.0: Deep Learning and Federated Computations for Energy Decarbonization and Edge Resilience.- Improving the Donor Journey with Convolutional and Recurrent Neural Networks.
• (source: Nielsen Book Data)

This book presents a compilation of extended version of selected papers from the 19th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2020) and focuses on deep learning networks in applications such as pneumonia detection in chest X-ray images, object detection and classification, RGB and depth image fusion, NLP tasks, dimensionality estimation, time series forecasting, building electric power grid for controllable energy resources, guiding charities in maximizing donations, and robotic control in industrial environments. Novel ways of using convolutional neural networks, recurrent neural network, autoencoder, deep evidential active learning, deep rapid class augmentation techniques, BERT models, multi-task learning networks, model compression and acceleration techniques, and conditional Feature Augmented and Transformed GAN (cFAT-GAN) for the above applications are covered in this book. Readers will find insights to help them realize novel ways of using deep learning architectures and algorithms in real-world applications and contexts, making the book an essential reference guide for academic researchers, professionals, software engineers in the industry, and innovative product developers. .
(source: Nielsen Book Data)

• LexDivPara: A Measure of Paraphrase Quality with Integrated Sentential Lexical Complexity.- The Potential of Machine Learning Algorithms for Sentiment Classification of Students' Feedback on MOOC.- Towards an Automated Language Acquisition System for Grounded Agency.- Automatic Monitoring and Analysis of Brands using Data Extracted from Twitter in Romanian.- Natural Language Processing in the Support of Business Organization Management.- Discovering Influence of Yelp Reviews using Hawkes Point Processes.- Automated Corpus Annotation for Cybersecurity Named Entity Recognition with Small Keyword Dictionary.- Benchmarking Virtual Reinforcement Learning Algorithms to Balance a Real Inverted Pendulum.- Local-Minimum-Free Artificial Potential Field Method for Obstacle Avoidance.- Experimental Design of Artificial Neural-network Solutions for Traffic Sign Recognition.- Spatial Modelling and Microstructural Modulation of Porous Pavement Materials for Seepage Control in Smart Cities.- ViewClassifier: Visual Analytics on Performance Analysis for Imbalanced Fatal Accident Data.
• (source: Nielsen Book Data)

This book presents Proceedings of the 2021 Intelligent Systems Conference which is a remarkable collection of chapters covering a wider range of topics in areas of intelligent systems and artificial intelligence and their applications to the real world. The conference attracted a total of 496 submissions from many academic pioneering researchers, scientists, industrial engineers, and students from all around the world. These submissions underwent a double-blind peer-review process. Of the total submissions, 180 submissions have been selected to be included in these proceedings. As we witness exponential growth of computational intelligence in several directions and use of intelligent systems in everyday applications, this book is an ideal resource for reporting latest innovations and future of AI. The chapters include theory and application on all aspects of artificial intelligence, from classical to intelligent scope. We hope that readers find the book interesting and valuable; it provides the state-of-the-art intelligent methods and techniques for solving real-world problems along with a vision of the future research. .
(source: Nielsen Book Data)

• Zero-Touch Customer Order Fulfillment to Support the New Normal of Retail in the 21st Century.- VitrAI: Applying Explainable AI in the Real World.- Contactless Interface for Navigation in Medical Imaging Systems.- Mobile Apps for 3D Face Scanning.- Tabu Search for Locating-Routing in the Goods Delivery and Waste Pickup in Trujillo-Peru.- The Emergence of Hybrid Edge-Cloud Computing for Energy Efficiency in Buildings.- Particle Swarm Model for Predicting Student Performance in Computing Programs.- A Genetic Algorithm for Quantum Circuit Generation in OpenQASM.- An Improved Clustering-based Harmony Search Algorithm (IC-HS).- Supporting Financial Inclusion with Graph Machine Learning and Super-App Alternative Data.- Electromagnetism-Like Algorithm and Harmony Search for Chemical Kinetics Problem.- Learning Incorrect Verdict Patterns of the Established Face Recognizing CNN Models using Meta-Learning Supervisor ANN.- SmartData: An Intelligent Decision Support System to Predict the Readers Permanence in News.- High Capacity Data Hiding for AMBTC Decompressed Images using Pixel Modification and Difference Expansion.- Fraud Detection in Online Market Research.
• (source: Nielsen Book Data)

This book presents Proceedings of the 2021 Intelligent Systems Conference which is a remarkable collection of chapters covering a wider range of topics in areas of intelligent systems and artificial intelligence and their applications to the real world. The conference attracted a total of 496 submissions from many academic pioneering researchers, scientists, industrial engineers, and students from all around the world. These submissions underwent a double-blind peer-review process. Of the total submissions, 180 submissions have been selected to be included in these proceedings. As we witness exponential growth of computational intelligence in several directions and use of intelligent systems in everyday applications, this book is an ideal resource for reporting latest innovations and future of AI. The chapters include theory and application on all aspects of artificial intelligence, from classical to intelligent scope. We hope that readers find the book interesting and valuable; it provides the state-of-the-art intelligent methods and techniques for solving real-world problems along with a vision of the future research. .
(source: Nielsen Book Data)

• Zero-Touch Customer Order Fulfillment to Support the New Normal of Retail in the 21st Century
• VitrAI: Applying Explainable AI in the Real World
• Contactless Interface for Navigation in Medical Imaging Systems
• Mobile Apps for 3D Face Scanning
• Tabu Search for Locating-Routing in the Goods Delivery and Waste Pickup in Trujillo-Peru
• The Emergence of Hybrid Edge-Cloud Computing for Energy Efficiency in Buildings
• Particle Swarm Model for Predicting Student Performance in Computing Programs
• A Genetic Algorithm for Quantum Circuit Generation in OpenQASM
• An Improved Clustering-based Harmony Search Algorithm (IC-HS)
• Supporting Financial Inclusion with Graph Machine Learning and Super-App Alternative Data
• Electromagnetism-Like Algorithm and Harmony Search for Chemical Kinetics Problem
• Learning Incorrect Verdict Patterns of the Established Face Recognizing CNN Models using Meta-Learning Supervisor ANN
• SmartData: An Intelligent Decision Support System to Predict the Readers Permanence in News
• High Capacity Data Hiding for AMBTC Decompressed Images using Pixel Modification and Difference Expansion
• Fraud Detection in Online Market Research.

This book presents Proceedings of the 2021 Intelligent Systems Conference which is a remarkable collection of chapters covering a wider range of topics in areas of intelligent systems and artificial intelligence and their applications to the real world. The conference attracted a total of 496 submissions from many academic pioneering researchers, scientists, industrial engineers, and students from all around the world. These submissions underwent a double-blind peer-review process. Of the total submissions, 180 submissions have been selected to be included in these proceedings. As we witness exponential growth of computational intelligence in several directions and use of intelligent systems in everyday applications, this book is an ideal resource for reporting latest innovations and future of AI. The chapters include theory and application on all aspects of artificial intelligence, from classical to intelligent scope. We hope that readers find the book interesting and valuable; it provides the state-of-the-art intelligent methods and techniques for solving real-world problems along with a vision of the future research. .
(source: Nielsen Book Data)

This book constitutes the refereed post-conference proceedings on Learning and Intelligent Optimization, LION 15, held in Athens, Greece, in June 2021. The 30 full papers presented have been carefully reviewed and selected from 35 submissions. LION deals with designing and engineering ways of "learning" about the performance of different techniques, and ways of using past experience about the algorithm behavior to improve performance in the future. Intelligent learning schemes for mining the knowledge obtained online or offline can improve the algorithm design process and simplify the applications of high-performance optimization methods. Combinations of different algorithms can further improve the robustness and performance of the individual components.
(source: Nielsen Book Data)

• Deep Learning for Conversions between Melodic Frameworks of Indian Classical Music.- Content-Based Image Retrieval System using Fuzzy Colour and Local Binary Pattern with Apache Lucene.- Machine Vision Based Conveyor & Structural Health Monitoring Robot for Industrial Application using Deep Learning.- Design and Development of Marathi Word Stemmer.- Survey on Deep Learning System for Intruder Behaviour Detection and Classification in Cloud Computing.- Abstractive Multi-Document Summarization using Deep Learning Approaches.- Heart Disease Prediction using Decision Tree and SVM.- Classification of Skin Diseases using Ensemble Method.- An Integrated Decision Support System for Strom Surge Early Warning using SOA.- Object Tracking and Detection using Convolutional Neural Networks.- Novel Coronavirus Progression Analysis using Time Series Forecasting.- A Modern Approach to Seed Quality Check and it's Traceability in Agriculture.- Experimental Face Recognition System using Deep Learning Approaches.- Customer-Centric Ecommerce Implementing Artificial Intelligence for Better Sales and Service.- Tomato Plant Disease Classification Using Deep Learning Architectures: A Review.
• (source: Nielsen Book Data)

This book includes original, peer-reviewed research articles from International Conference on Advances in Computer Engineering and Communication Systems (ICACECS 2021), held in VNR Vignana Jyoythi Institute of Engineering and Technology (VNR VJIET), Hyderabad, Telangana, India, during 13-14 August 2021. The book focuses on "Smart Innovations in Mezzanine Technologies, Data Analytics, Networks and Communication Systems" enlargements and reviews on the advanced topics in artificial intelligence, machine learning, data mining and big data computing, knowledge engineering, semantic Web, cloud computing, Internet on Things, cybersecurity, communication systems, and distributed computing and smart systems.
(source: Nielsen Book Data)

• 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. Artificial Intelligence Against COVID-19
• Part II. Deep Learning Technology and Applications
• Part III. Machine Learning and Applications
• Part IV. Internet of Things Healthcare Systems
• Part V. Classifications, Clustering and Predictions
• Part VI. Semantic and Arabic Text/Speech Analysis
• Part VII. Advanced Smart Technologies
• Part VIII. Unmanned Aerial Vehicles and Control Systems
• Part IX. Intelligent Systems and Applications
• Part X. Optimizations and Evolutionary Algorithm
• Part XI. Data Acquisition, Ontology, Software Engineering
• Part XII. Intelligent Systems.

This book presents the refereed proceedings of the 6th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA 2021) held in Cairo, Egypt, during March 22-24, 2021, and organized by the Scientific Research Group of Egypt (SRGE). The papers cover current research Artificial Intelligence Against COVID-19, Internet of Things Healthcare Systems, Deep Learning Technology, Sentiment analysis, Cyber-Physical System, Health Informatics, Data Mining, Power and Control Systems, Business Intelligence, Social media, Control Design, and Smart Systems.
(source: Nielsen Book Data)

• Deep Learning Based Recommender Systems.- A Comprehensive Set of Novel Residual Blocks for Deep Learning Architectures for Diagnosis of Retinal Diseases from Optical Coherence Tomography Images.- Three-Stream Convolutional Neural Network for Human Fall Detection.- Diagnosis of Bearing Faults in Electrical Machines using Long Short-Term Memory.- Automatic Solar Panel Detection from High Resolution Orthoimagery Using Deep Learning Segmentation Networks.- Training Deep Learning Sequence Models to Understand Driver Behavior.- Exploiting Spatio-temporal Correlation in RF Data using Deep Learning.- Human Target Detection and Localization with Radars Using Deep Learning.- Thresholding Strategies for Deep Learning with Highly Imbalanced Big Data.- Vehicular Localisation at High and Low Estimation Rates during GNSS Outages: A Deep Learning Approach.- Multi-Adversarial Variational Autoencoder Nets for Simultaneous Image Generation and Classification.- Non-convex Optimization using Parameter Continuation Methods for Deep Neural Networks.
• (source: Nielsen Book Data)

This book presents selected papers from the 18th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2019). It focuses on deep learning networks and their application in domains such as healthcare, security and threat detection, fault diagnosis and accident analysis, and robotic control in industrial environments, and highlights novel ways of using deep neural networks to solve real-world problems. Also offering insights into deep learning architectures and algorithms, it is an essential reference guide for academic researchers, professionals, software engineers in industry, and innovative product developers.
(source: Nielsen Book Data)

• Temperature dependent initial chemical conditions for WRF-Chem air pollution simulation model.- Smart City Air Pollution Monitoring and Prediction: A Case Study of Skopje.- Cloud Based Personal Health Records Data Exchange in the Age of IoT: The Cross4all Project.- Time series anomaly detection with Variational AutoEncoder using mahalanobis distance.- Towards cleaner environments by automated garbage detection in images.- Fine - grained image classification using transfer learning and context encoding.- Machine Learning and Natural Language Processing: Review of Models and Optimization Problems.- Improving NER Performance by Applying Text Summarization on Pharmaceutical Articles.- Case Study: Predicting Students Objectivity in Self-Evaluation Responses using BertSingle-Label and Multi-Label Fine-Tuned Deep-Learning Models.- Fat Tree Algebraic Formal Modelling applied to Fog Computing.- A Circuit for Flushing Instructions from Reservation Stations.- Parallel programming strategies for computing Walsh spectra of Boolean functions.- Pipelined Serial Register Renaming.- Fast Decoding with Cryptcodes for Burst Errors.- Cybersecurity Platforms Assessment.- Real-Time Monitoring and Assessing Open Government Data: A case study of the Western Balkan Countries.- Analysis of digitalization in healthcare: case study.- Correlating Glucose Regulation with Lipid Profile. .
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 12th International ICT Innovations Conference, ICT Innovations 2020, held in Skopje, North Macedonia, in September 2020.The 12 full papers and 6 short papers presented were carefully reviewed and selected from 60 submissions. The focal point of the volume is machine learning and applications in spheres of business, science and technology.
(source: Nielsen Book Data)

• Internet of Things: Challenges, Security Issues and Solutions.- Modeling and Performance Evaluation of Auction Model in Cloud Computing.- Framework for Resource Management in Cloud Compu-ting.- Unique Stego Key Generation From Finger Print Image In Image Steganography.- Self-powered IoT Based Design for Multi-Purpose Smart Poultry Farm.- Phrase based Statistical Machine Translation of Hindi Poetries into English.- A Smart Education Model for Future Learning and Teaching using IoT.- Internet of Things (IoT) Based Advanced Voting Machine System Enhanced Using Low Cost IoT Embedded Device and Cloud Platform.- IoT: SECURITY ISSUES AND CHALLENGES.- Coronary Artery Disease Prediction using Neural Network and Random Forest based Feature Selection.- A Collaborative Approach to Decision Making in Decentralized IoT Devices.
• (source: Nielsen Book Data)

This book gathers papers addressing state-of-the-art research in all areas of information and communication technologies and their applications in intelligent computing, cloud storage, data mining and software analysis. It presents the outcomes of the Fourth International Conference on Information and Communication Technology for Intelligent Systems, which was held in Ahmedabad, India. Divided into two volumes, the book discusses the fundamentals of various data analysis techniques and algorithms, making it a valuable resource for researchers and practitioners alike.
(source: Nielsen Book Data)

• Chapter 1: Data-Driven and Artificial Intelligence (AI) Approach for Modelling and Analyzing Healthcare Security Practice: A Systematic Review.-
• Chapter 2: Detection of Anomalous Patterns in Water Consumption: An Overview of Approaches.-
• Chapter 3: Alleviating Congestion in Restricted Urban Areas with Cooperative Intersection Management.-
• Chapter 4: Semantic Segmentation of Shield Tunnel Leakage with Combining SSD and FCN.-
• Chapter 5: Determining the Gain and Directivity of Antennas using Support Vector Regression.-
• Chapter 6: Driving Reinforcement Learning with Models.-
• Chapter 7: Learning Actions with Symbolic Literals and Continuous Effects for a Waypoint Navigation Simulation.-
• Chapter 8: Understanding and Exploiting Dependent Variables with Deep Metric Learning.-
• Chapter 9: An Automated System of Threat Propagation using a Horizon of Events Model.-
• Chapter 10: Realizing Macro based Technique for Behavioral Attestation on Remote Platform.-
• Chapter 11: The Effect of using Artificial Intelligence on Performance of Appraisal System: A Case Study for University of Jeddah Staff in Saudi Arabia.-
• Chapter 12: Traffic Accidents Analysis with the GPS/Arc/GIS Telecommunication System.
• (source: Nielsen Book Data)

The book Intelligent Systems and Applications - Proceedings of the 2020 Intelligent Systems Conference is a remarkable collection of chapters covering a wider range of topics in areas of intelligent systems and artificial intelligence and their applications to the real world. The Conference attracted a total of 545 submissions from many academic pioneering researchers, scientists, industrial engineers, students from all around the world. These submissions underwent a double-blind peer review process. Of those 545 submissions, 177 submissions have been selected to be included in these proceedings. As intelligent systems continue to replace and sometimes outperform human intelligence in decision-making processes, they have enabled a larger number of problems to be tackled more effectively.This branching out of computational intelligence in several directions and use of intelligent systems in everyday applications have created the need for such an international conference which serves as a venue to report on up-to-the-minute innovations and developments. This book collects both theory and application based chapters on all aspects of artificial intelligence, from classical to intelligent scope. We hope that readers find the volume interesting and valuable; it provides the state of the art intelligent methods and techniques for solving real world problems along with a vision of the future research.
(source: Nielsen Book Data)

• Chapter 1: CapsNet vs CNN: Analysis of the Effects of Varying Feature Spatial Arrangement.-
• Chapter 2: Improved 2D Human Pose Tracking using Optical Flow Analysis.-
• Chapter 3: Transferability of Fast Gradient Sign Method.-
• Chapter 4: Design of an Automatic System to Determine the Degree of Progression of Diabetic Retinopathy.-
• Chapter 5: Adaptive Attention Mechanism based Semantic Compositional Network for Video Captioning.-
• Chapter 66: Estimated Influence of Online Management Tools on Team Management based on the Research With the Use of the System of Organizational Terms.-
• Chapter 7: Liveness Detection via Facial Expressions Queue Bat-Erdene Batsukh.-
• Chapter 8: Java based Application Development for Facial Identification using OpenCV Library.-
• Chapter 9: Challenges in Face Recognition using Machine Learning Algorithms: Case of Makeup and Occlusions.-
• Chapter 10: The Effects of Social Issues and Human Factors on the Reliability of Biometric Systems: A Review.
• (source: Nielsen Book Data)

The book Intelligent Systems and Applications - Proceedings of the 2020 Intelligent Systems Conference is a remarkable collection of chapters covering a wider range of topics in areas of intelligent systems and artificial intelligence and their applications to the real world. The Conference attracted a total of 545 submissions from many academic pioneering researchers, scientists, industrial engineers, students from all around the world. These submissions underwent a double-blind peer review process. Of those 545 submissions, 177 submissions have been selected to be included in these proceedings. As intelligent systems continue to replace and sometimes outperform human intelligence in decision-making processes, they have enabled a larger number of problems to be tackled more effectively.This branching out of computational intelligence in several directions and use of intelligent systems in everyday applications have created the need for such an international conference which serves as a venue to report on up-to-the-minute innovations and developments. This book collects both theory and application based chapters on all aspects of artificial intelligence, from classical to intelligent scope. We hope that readers find the volume interesting and valuable; it provides the state of the art intelligent methods and techniques for solving real world problems along with a vision of the future research.
(source: Nielsen Book Data)

• Smart Queue Shopping using Rfid System.- Prediction and Classification of Biased and Fake News using NLP and Machine Learning models.- Smart Leaf Disease Detection Using Image Processing.- Unsupervised Image Generation & Manipulation using Deep Convolutional Adversarial Networks.- A Sentiment Analysis and Suicide Ideation Method using Various Machine Learning Algorithms on Twitter Tweets.- Video Categorization based on Sentiment Analysis of YouTube comments.- Credit Score Prediction using Machine Learning.- Stock Market Prediction Using Long Short-Term Memory Model.- Efficient Management of Web Personalization through Entropy and Similarity Analysis.- Artistic Media Stylization & Identification using Convolution Neural Networks.
• (source: Nielsen Book Data)

This book includes selected papers from the 2nd International Conference on Machine Learning and Information Processing (ICMLIP 2020), held at Vardhaman College of Engineering, Jawaharlal Nehru Technological University (JNTU), Hyderabad, India, from November 28 to 29, 2020. It presents the latest developments and technical solutions in the areas of advanced computing and data sciences, covering machine learning, artificial intelligence, human-computer interaction, IoT, deep learning, image processing and pattern recognition, and signal and speech processing.
(source: Nielsen Book Data)

• pt. 1. Advances in Interpretable Machine Learning and Artificial Intelligence
• Parallel, Distributed, and Federated Learning
• Graph Embedding and Mining
• Machine Learning for Irregular Time Series
• IoT, Edge, and Mobile for Embedded Machine Learning
• eXplainable Knowledge Discovery in Data Mining
• Bias and Fairness in AI
• International Workshop on Active Inference. .

• pt. 2. Machine Learning for CyberSecurity
• Workshop on Machine Learning in Softtware Engineering
• MIning DAta for financial applicationS
• Sixth Workshop on Data Science for Social Good (SoGood 2021)
• Machine Learning for Pharma and Healthcare Applications
• Machine Learning for Buildings Energy Management.

This two-volume set constitutes the refereed proceedings of the workshops which complemented the 21th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD, held in September 2021. Due to the COVID-19 pandemic the conference and workshops were held online. The 104 papers were thoroughly reviewed and selected from 180 papers submited for the workshops. This two-volume set includes the proceedings of the following workshops: Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence (AIMLAI 2021) Workshop on Parallel, Distributed and Federated Learning (PDFL 2021) Workshop on Graph Embedding and Mining (GEM 2021) Workshop on Machine Learning for Irregular Time-series (ML4ITS 2021) Workshop on IoT, Edge, and Mobile for Embedded Machine Learning (ITEM 2021) Workshop on eXplainable Knowledge Discovery in Data Mining (XKDD 2021) Workshop on Bias and Fairness in AI (BIAS 2021) Workshop on Workshop on Active Inference (IWAI 2021) Workshop on Machine Learning for Cybersecurity (MLCS 2021) Workshop on Machine Learning in Software Engineering (MLiSE 2021) Workshop on MIning Data for financial applications (MIDAS 2021) Sixth Workshop on Data Science for Social Good (SoGood 2021) Workshop on Machine Learning for Pharma and Healthcare Applications (PharML 2021) Second Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2020) Workshop on Machine Learning for Buildings Energy Management (MLBEM 2021).

• A Hybrid Deep Learning Approach for Stock Price Prediction
• Detection of Alphanumeric Characters by Connectionist Temporal Classification with Vanilla Beam Search Algorithm and NLP Using MATLAB and Keras
• Multilabel Toxic Comment Classification Using Supervised Machine Learning Algorithms
• Model of Speed Spheroidization of Metals and Alloys Based on Multiprocessor Computing Complexes
• Prediction of Sales Using Stacking Classifier
• How to Use LDA Model to Analyze Patent Information? Taking Ships Integrated Power System as an Example
• A Comparison Study on Various Continuous Integration Tools in Software Development
• A Holistic Study on Approaches to Prevent Sexual Harassment on Twitter
• (Plus 51 other papers).

This book gathers papers addressing state-of-the-art research in the areas of machine learning and predictive analysis, presented virtually at the Fourth International Conference on Information and Communication Technology for Intelligent Systems (ICTIS 2020), India. It covers topics such as intelligent agent and multi-agent systems in various domains, machine learning, intelligent information retrieval and business intelligence, intelligent information system development using design science principles, intelligent web mining and knowledge discovery systems. .
(source: Nielsen Book Data)

• Privacy Preservation in ROI of Medical Images using LSB Manipulation.- Novel Approach for Measuring Nutrition Values using Smartphone.- Detection of Hate-Speech in Hinglish language.- Abstractive Text Summarization and Unsupervised Text Classifier.- An Extensive Study on Medical Image Security with ROI Preservation: Techniques, Evaluations and Future Directions.- Denoising Documents Using Image Processing For Digital Restoration.- Humming Based Song Recognition.- Non-Invasive Approach for Disease Diagnosis.- Alleviation of Safety measures in Underground coal mines using Wireless sensor network: A survey.- Critical Non-functional Requirements Modeling Profiler with meta-model semantics.- Retrieval of Ontological Knowledge from Unstructured Text.
• (source: Nielsen Book Data)

This book includes selected papers from the International Conference on Machine Learning and Information Processing (ICMLIP 2019), held at ISB&M School of Technology, Pune, Maharashtra, India, from December 27 to 28, 2019. It presents the latest developments and technical solutions in the areas of advanced computing and data sciences, covering machine learning, artificial intelligence, human-computer interaction, IoT, deep learning, image processing and pattern recognition, and signal and speech processing. .
(source: Nielsen Book Data)

• Hybrid Duty Cycle Algorithm for Industrial WSNs Using Machine Learning.- Analyzing Architectures of Reservoir Computing Models Using Particle Swarm Intelligence.- A Cost-Effective Data Node Management Scheme for Hadoop Clusters in Cloud Environment.- Deep Temporal Analysis of Twitter Bots.- Comparison of Metaheuristics for a Vehicle Routing Problem in a Farming Community.- A Brain Computer Interface Based Visual Keyboard System Using SSVEP and Electrooculogram.- Stock Market Prediction Using a Hybrid Model.- An Internet of Things Framework to Forecast Indoor Air Quality Using Machine Learning.- Strategy Inference via Real-time Homeomorphic and Isomorphic Tree Matching of Probabilistic Graphical Models.- CNN and Stacked LSTM Model for Indian Sign Language Recognition.- Air Quality Monitoring and Classification Using Machine Learning.- Facial Emotion Recognition Using Shallow CNN.- Lead Artist Identification from Music Videos Using Auto-Encoders.- Enhanced Differential Evolution-based EEG Channel Selection.- An Efficient Word Embedded Click-Bait Classification of YouTube Titles Using SVM.- NSGA III for CNC End Milling Process Optimization.- Steering Angle Estimation for Self-Driving Car Using Deep Learning.- A Textural Feature Based Cytological Image Classification Using Artificial Neural Network.- Proposing Contextually Relevant Advertisements for Online Videos.- Comparison of Metaheuristics for the Allocation of Resources for an After-School Program in Remote Areas of India.- A C-LSTM with Attention Mechanism for Question Categorization.- QuicklyCook: A User-Friendly Recipe Recommender.- Early Detection of Suicidal Predilection on Instagram Social Networking Service.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the First Symposium on Machine Learning and Metaheuristics Algorithms, and Applications, held in Trivandrum, India, in December 2019. The 17 full papers and 6 short papers presented in this volume were thoroughly reviewed and selected from 53 qualified submissions. The papers cover such topics as machine learning, artificial intelligence, Internet of Things, modeling and simulation, disctibuted computing methodologies, computer graphics, etc. .
(source: Nielsen Book Data)

• Intro; Preface; Organization; Contents; Accelerated Randomized Coordinate Descent Algorithms for Stochastic Optimization and Online Learning; 1 Introduction; 1.1 Related Work; 1.2 Our Contribution; 2 The Learning Problems; 2.1 Stochastic Optimization; 2.2 Online Learning; 3 Stochastic Accelerated Randomized Coordinate Descent; 4 Online Accelerated Randomized Coordinate Descent; 5 Numerical Evaluation; 6 Conclusion; References; Spiral Search Method to GPU Parallel Euclidean Minimum Spanning Tree Problem; 1 Introduction; 2 Component-Based Graph Representation; 3 Preliminaries

• 4 GPU Parallel EMSF Algorithm4.1 Find Component's Closest Outgoing Point from Each Vertex; 4.2 Find Shortest Outgoing Edge Within Each Component with GPU Two Direction Parallel Breadth First Search (BFS); 4.3 Connect Graph; 4.4 Compact Graph; 5 Experiments; 6 Conclusion; References; A Cooperative Learning Approach for the Quadratic Knapsack Problem; 1 Introduction; 2 Multi-leader Migrating Birds Optimization; 3 Numerical Results; 4 Conclusions; References; An Improved BTK Algorithm Based on Cell-Like P System with Active Membranes; 1 Introduction; 2 Preliminaries

• 2.1 Top-Rank-k Frequent Patterns Mining2.2 TB-Tree and B-List; 2.3 BTK Algorithm; 2.4 Basic Cell-Like P System Structure; 3 CP-BTK Algorithm; 3.1 Improvements to BTK Algorithm; 3.2 The CP-BTK Algorithm; 3.3 Computing Process; 4 An Illustrative Example; 5 Conclusions; References; A Simple Algorithmic Proof of the Symmetric Lopsided Lovász Local Lemma; 1 Preliminaries; 1.1 The Variable Framework; 1.2 Lopsidependent Events; 2 Algorithmic Lopsided Lovász Local Lemma; 2.1 The Algorithm; 2.2 Forests; 2.3 Validation Algorithm; References

• Creating a Multi-iterative-Priority-Rule for the Job Shop Scheduling Problem with Focus on Tardy Jobs via Genetic Programming1 Introduction; 2 Problem Description; 3 Solution Method; 4 Results; 5 Conclusion; References; A Global Optimization Algorithm for Non-Convex Mixed-Integer Problems; 1 Introduction; 2 Global Search Algorithm and Dimension Reduction; 3 Global Search Algorithm for Mixed-Integer Problems; 4 Results of Experiments; References; Massive 2-opt and 3-opt Moves with High Performance GPU Local Search to Large-Scale Traveling Salesman Problem; 1 Introduction

• 2 TSP Formulation and the Iterative 2-/3-opt3 Related Works; 4 TSP Tour Data Structure for GPU Massive k-opt Evaluation; 5 Multiple k-opt Evaluation, Multiple k-opt Moves; 5.1 Multiple k-opt Evaluation on GPU; 5.2 Non-interacted 2-opt Moves Set Partition with Linear Time; 5.3 Extension to Massive k-opt Moves; 6 Experiments; 7 Conclusion; References; Instance-Specific Selection of AOS Methods for Solving Combinatorial Optimisation Problems via Neural Networks; 1 Introduction; 2 Related Works; 3 Problem Statement; 4 Instance-Specific Selection of AOS Methods; 4.1 Neural Network-Based Approach

This book constitutes the thoroughly refereed post-conference proceedings of the 12th International Conference on Learning and Intelligent Optimization, LION 12, held in Kalamata, Greece, in June 2018. The 28 full papers and 12 short papers presented have been carefully reviewed and selected from 62 submissions. The papers explore the advanced research developments in such interconnected fields as mathematical programming, global optimization, machine learning, and artificial intelligence. Special focus is given to advanced ideas, technologies, methods, and applications in optimization and machine learning.

• Keynote and Invited Talks.- Machine Learning and Ecosystem Informatics: Challenges and Opportunities.- Density Ratio Estimation: A New Versatile Tool for Machine Learning.- Transfer Learning beyond Text Classification.- Regular Papers.- Improving Adaptive Bagging Methods for Evolving Data Streams.- A Hierarchical Face Recognition Algorithm.- Estimating Likelihoods for Topic Models.- Conditional Density Estimation with Class Probability Estimators.- Linear Time Model Selection for Mixture of Heterogeneous Components.- Max-margin Multiple-Instance Learning via Semidefinite Programming.- A Reformulation of Support Vector Machines for General Confidence Functions.- Robust Discriminant Analysis Based on Nonparametric Maximum Entropy.- Context-Aware Online Commercial Intention Detection.- Feature Selection via Maximizing Neighborhood Soft Margin.- Accurate Probabilistic Error Bound for Eigenvalues of Kernel Matrix.- Community Detection on Weighted Networks: A Variational Bayesian Method.- Averaged Naive Bayes Trees: A New Extension of AODE.- Automatic Choice of Control Measurements.- Coupled Metric Learning for Face Recognition with Degraded Images.- Cost-Sensitive Boosting: Fitting an Additive Asymmetric Logistic Regression Model.- On Compressibility and Acceleration of Orthogonal NMF for POMDP Compression.- Building a Decision Cluster Forest Model to Classify High Dimensional Data with Multi-classes.- Query Selection via Weighted Entropy in Graph-Based Semi-supervised Classification.- Learning Algorithms for Domain Adaptation.- Mining Multi-label Concept-Drifting Data Streams Using Dynamic Classifier Ensemble.- Learning Continuous-Time Information Diffusion Model for Social Behavioral Data Analysis.- Privacy-Preserving Evaluation of Generalization Error and Its Application to Model and Attribute Selection.- Coping with Distribution Change in the Same Domain Using Similarity-Based Instance Weighting.- Monte-Carlo Tree Search in Poker Using Expected Reward Distributions.- Injecting Structured Data to Generative Topic Model in Enterprise Settings.- Weighted Nonnegative Matrix Co-Tri-Factorization for Collaborative Prediction.
• (source: Nielsen Book Data)

The First Asian Conference on Machine Learning (ACML 2009) was held at Nanjing, China during November 2-4, 2009.This was the ?rst edition of a series of annual conferences which aim to provide a leading international forum for researchers in machine learning and related ?elds to share their new ideas and research ?ndings. This year we received 113 submissions from 18 countries and regions in Asia, Australasia, Europe and North America. The submissions went through a r- orous double-blind reviewing process. Most submissions received four reviews, a few submissions received ?ve reviews, while only several submissions received three reviews. Each submission was handled by an Area Chair who coordinated discussions among reviewers and made recommendation on the submission. The Program Committee Chairs examined the reviews and meta-reviews to further guarantee the reliability and integrity of the reviewing process. Twenty-nine - pers were selected after this process. To ensure that important revisions required by reviewers were incorporated into the ?nal accepted papers, and to allow submissions which would have - tential after a careful revision, this year we launched a "revision double-check" process. In short, the above-mentioned 29 papers were conditionally accepted, and the authors were requested to incorporate the "important-and-must"re- sionssummarizedbyareachairsbasedonreviewers'comments.Therevised? nal version and the revision list of each conditionally accepted paper was examined by the Area Chair and Program Committee Chairs. Papers that failed to pass the examination were ?nally rejected.
(source: Nielsen Book Data)