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• Chapter 1. A CNN-based Approach for Facial Emotion Detection
• Chapter 2. Implementation of Artificial Neural Network for Demanufacturing Operation in the Rail Industry
• Chapter 3. Diversified Recommendation Generation using Graph Convolution Neural Network
• Chapter 4. Brain Tumor detection with GLCM feature extraction and hybrid classification approach
• Chapter 5. Optimization of an inventory model with selling price and stock sensitive demand along with trade credit policy
• Chapter 6. A new family of generalized Euler-Genocchi polynomials associated with Hermite polynomials
• Chapter 7. 6G-Enabled Internet of Medical Things
• Chapter 8. An Inductively Degenerated LNA for ISM Applications: Design & Performance Comparison
• Chapter 9. Prostate Cancer Risk Analysis Using Artificial Neural Network
• Chapter 10. On two bivariate kinds of (p; q)-Euler polynomials
• Chapter 11. Different stages of Watermelon Diseases Detection Using optimized CNN
• Chapter 12. Machine Learning: An Analytical Approach for Pattern Detection in Diabetes
• Chapter 13. A Dynamic Weighted Federated Learning for Android Malware Classification
• Chapter 14. Entropy measure for the linguistic q-rung orthopair fuzzy set
• Chapter 15. Empirical Analysis of Unsupervised Link Prediction Algorithms in Wighted Networks.

This book focuses on soft computing and how it can be applied to solve real-world problems arising in various domains, ranging from medicine and health care, to supply chain management, image processing and cryptanalysis. It gathers high-quality papers presented at the International Conference on Soft Computing: Theories and Applications (SoCTA 2022), held at University Institute of Technology, Himachal Pradesh University Shimla, Himachal Pradesh, India. The book offers valuable insights into soft computing for teachers and researchers alike; the book inspires further research in this dynamic field.

This book presents the proceedings of the Fourth International Workshop on Soft Computing as Transdisciplinary Science and Technology (WSTST '05), May 25-27, 2005, Muroran, Japan. It brings together the original work of international soft computing/computational intelligence researchers, developers, practitioners, and users. This proceedings provide contributions to all areas of soft computing including intelligent hybrid systems, agent-based systems, intelligent data mining, decision support systems, cognitive and reactive distributed artificial intelligence (AI), internet modelling, human interface, and applications in science and technology.
(source: Nielsen Book Data)

This book constitutes the thoroughly refereed proceedings of the AFFS International Conference on Fuzzy Systems, AFFS 2002, held in Calcutta, India, in Feburary 2002. The book presents 74 papers from 19 different countries selected out of approximately twice as many submissions. Among the topics addressed are fuzzy systems, soft computing, neural networks, pattern recognition, image processing, evolutionary computation, and data mining.
(source: Nielsen Book Data)

• Theory and methods
• NAARPreC: A Novel Approach for Adaptive Resource Prediction in Cloud
• One True Pairing: Evaluating Effective Language Pairings for Fake News Detection Employing Zero-Shot Cross Lingual Transfer
• FedCLUS: Federated Clustering from Distributed Homogeneous Data
• On Language Clustering: Non-parametric Statistical Approach
• Method Agnostic Model Class Reliance (MAMCR) Explanation of Multiple Machine Learning Models
• Association Rules based Feature Extraction for Deep Learning Classification
• Global Thresholding Technique for Basal Ganglia Segmentation from Positron Emission Tomography Images
• Oversampling Methods to Handle the Class Imbalance Problem: A Review
• Analog Implementation of Neural Network
• Designing Fog Device Network for Digitization of University Campus
• Word Sense Disambiguation from English to Indic language: Approaches and Opportunities
• Explainable AI for Predictive Analytics on Employee Attrition
• Graph Convolutional Neural Networks for Nuclei Segmentation from Histopathology Images
• Performance Analysis of Cache Memory in CPU
• Extraction of Single Chemical Structure from Handwritten Complex Chemical Structure with Junction Point Based Segmentation
• Automatic Mapping of Deciduous and Evergreen Forest by Using Machine Learning and Satellite Imagery
• Systems and Applications
• RIN: Towards A Semantic Rigorous Interpretable Artificial Immune System for Intrusion Detection
• SVRCI: An Approach for Semantically Driven Video Recommendation Incorporating Collective Intelligence
• Deep Learning based Model for Fundus Retinal Image Classification
• Reliable Network-Packet Binary Classification
• SemKnowNews: A Semantically Inclined Knowledge Driven Approach for Multi-Source Aggregation and Recommendation of News with a focus on Personalization
• Extraction and Analysis of Speech Emotion Features using Hybrid Punjabi Audio Dataset
• Human Activity Recognition in Videos using Deep Learning
• Brain Tumor Classification using VGG-16 and MobileNetV2 Deep Learning Techniques on Magnetic Resonance Images (MRI)
• Five-Year Life Expectancy Prediction of Prostate Cancer Patients Using Machine Learning Algorithms
• An Ensemble MultiLabel Classifier for Intra-Cranial Haemorrhage Detection from Large, Heterogeneous and Imbalanced Database
• A Method for Workflow Segmentation and action prediction from video data - AR Content
• Convolutional Neural Network Approach for Iris Segmentation
• Reinforcement Learning Algorithms for Effective Resource Management in Cloud Computing
• Corpus Building for Hate Speech Detection of Gujarati Language
• Intrinsic use of Genetic Optimizer in CNN Towards Efficient Image Classification
• A Software System for Smart Course Planning
• Meetei Mayek Natural Scene Character Recognition using CNN
• Utilization of Data Mining Classification Technique to Predict the Food Security Status of Wheat
• Hybrid Techniques
• QoS-Aware Service Placement for Fog Integrated Cloud using Modified Neuro-Fuzzy Approach
• Optimizing Public Grievance Detection Accuracy through Hyperparameter Tuning of Random Forest and Hybrid Model. .

This book constitutes the refereed proceedings of the 4th International Conference on Soft Computing and its Engineering Applications, icSoftComp 2022, held in Changa, Anand, India during December 9–10, 2022. The 33 full papers and 3 short papers included in this book were carefully reviewed and selected from 342 submissions. They were organized in topical sections as follows: Theory and Methods; Systems and Applications; and Hybrid Techniques.

• Chapter 1. Benchmarking state-of-the-art methodologies for optic disc segmentation
• Chapter 2. Automated Student Emotion Analysis During Online Classes using Convolutional Neural Network
• Chapter 3. Transfer Learning based Malware Classification
• Chapter 4. A Study on Metric-Based and Initialization-Based Methods for Few-Shot Image Classification
• Chapter 5. A Fast and Efficient Methods for Eye pre-processing and DR Level Detection
• Chapter 6. A deep neural model CNN-LSTM network for automated sleep staging based on a single-channel EEG signal
• Chapter 7. An Ensemble Model for Gait Classification in Children and Adolescent with Cerebral Palsy: A Low-Cost Approach
• Chapter 8. Imbalanced Learning of Regular Grammar for DFA Extraction from LSTM Architecture
• Chapter 9. Medical Prescription Label Reading using Computer Vision and Deep Learning
• Chapter 10. Autoencoder-based Deep Neural Architecture for Epileptic Seizures Classification
• Chapter 11. Stock Market Prediction using Deep Learning Techniques for Short and Long Horizon
• Chapter 12. Improved CNN Model for Breast Cancer Classification
• Chapter 13. Performance Assessment of Normalization in CNN with Retinal Image Segmentation
• Chapter 14. A novel multi-day ahead index price forecast using multi-output based deep learning system
• Chapter 15. Automatic Retinal Vessel Segmentation using BTLBO. etc.

This book provides an insight into the 11th International Conference on Soft Computing for Problem Solving (SocProS 2022). This international conference is a joint technical collaboration of the Soft Computing Research Society and the Indian Institute of Technology Mandi. This book presents the latest achievements and innovations in the interdisciplinary areas of Soft Computing, Machine Learning, and Data Science. It brings together the researchers, engineers, and practitioners to discuss thought-provoking developments and challenges, in order to select potential future directions. It covers original research papers in the areas including but not limited to algorithms (artificial neural network, deep learning, statistical methods, genetic algorithm, and particle swarm optimization) and applications (data mining and clustering, computer vision, medical and healthcare, finance, data envelopment analysis, business, and forecasting applications). This book is beneficial for young as well as experienced researchers dealing across complex and intricate real-world problems for which finding a solution by traditional methods is a difficult task.

• Artificial Intelligence Techniques and Applications
• Computing and Optimization
• Data Analytics and Technologies
• Data Mining and Image Processing
• Mathematical and Statistical Learning.

This book constitutes the refereed proceedings of the 7th International Conference on Soft Computing in Data Science, SCDS 2023, which was held virtually in January 2023. The 21 revised full papers presented were carefully reviewed and selected from 61 submissions. The papers are organized in topical sections on artificial intelligence techniques and applications; computing and optimization; data analytics and technologies; data mining and image processing; mathematical and statistical learning.

This book constitutes the refereed proceedings of the Third International Conference on Soft Computing and its Engineering Applications, icSoftComp 2021, held in Changa, India, in December 2021. Due to the COVID-19 pandemic the conference was held online. The 29 full papers and 4 short papers presented were carefully reviewed and selected from 247 submissions. The papers present recent research on theory and applications in fuzzy computing, neuro computing, and evolutionary computing.

This book focuses on soft computing and how it can be applied to solve real-world problems arising in various domains, ranging from medicine and healthcare, to supply chain management, image processing, and cryptanalysis. It gathers high-quality papers presented at the International Conference on Soft Computing: Theories and Applications (SoCTA 2021), organized online. The book offers valuable insights into soft computing for teachers and researchers alike; the book will inspire further research in this dynamic field.
(source: Nielsen Book Data)

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

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

• Study of Squeeze Film in a Ferrofluid Lubricated Longitudinally Rough Rotating Plates
• Study of Longitudinal Roughness on Hydromagnetic Squeeze Film Between Conducting Rotating Circular Plates
• Fuzzy Logic Based Packet Dropping Detection Approach for Mobile Ad-hoc Wireless Network
• Optimization of Parking Lot Area in Smart Cities Using Game Theory
• Analysis of Spatial Domain Image Steganography Based on Pixel Value Differencing Method
• Passive Bandwidth Estimation Techniques for QoS Routing in Wireless LANs
• Toward Automatic Scheduling Algorithm With Hash-based Priority Selection Strategy
• Agent-Based Modeling of the Adaptive Immune System Using Netlogo Simulation Tool
• Object Classification from Shape Detection
• Analysis of Road Networks Using the Louvian Community Detection Algorithm
• Congestion Control Using Fuzzy Based Node Reliabilityand Rate Control
• Impact of Inertia Weight and Cognitive and Social Constants in Obtaining Best Mean Fitness Value for PSO.

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

• A Brain like Computer Made of Time crystal: Could a Metric of Prime alone Replace a User and Alleviate Programming Forever?.- Optimum Selection of Energy-Efficient Material: A MCDM Based Distance Approach.- Role of Sodium, Potassium and Synaptic Conductance in STN-GPe Model of Basal Ganglia in Parkinson Disease.- A New Hybrid Algorithm Using Chaos Enhanced Differential Evolution For Loss Minimization With Improvement of Voltage Profile of Distribution Systems.- Fractal and Periodical Biological Antennas: Hidden Topologies in DNA, Wasps and Retina in the Eye.- Efficient Multiprocessor Scheduling Using Water Cycle Algorithm.- Estimating Software Reliability Growth Model Parameters Using Opposition Based Shuffled Frog-Leaping Algorithm.
• (source: Nielsen Book Data)

This book provides a reference guide for researchers, scientists and industrialists working in the area of soft computing, and highlights the latest advances in and applications of soft computing techniques in multidisciplinary areas. Gathering papers presented at the International Conference on Soft Computing: Theories and Applications (SoCTA 2016), which was held in Jaipur, Rajasthan, India, on December 28-30, 2016, it focuses on applying soft computing to solve real-life problems arising in various domains, from medical and healthcare to supply chain management, image processing and cryptanalysis. The term soft computing represents an umbrella term for computational techniques like fuzzy logic, neural networks and nature inspired algorithms. In the past few decades, there has been an exponential rise in the application of soft computing techniques to address complex and intricate problems in diverse spheres of life. The versatility of these techniques has made them a favourite among scientists and researchers alike.
(source: Nielsen Book Data)

This book contains accepted papers presented at SOCO 2022 conference held in the beautiful and historic city of Salamanca (Spain), in September 2022. Soft computing represents a collection or set of computational techniques in machine learning, computer science, and some engineering disciplines, which investigate, simulate, and analyze very complex issues and phenomena. After a thorough peer-review process, the 17th SOCO 2022 International Program Committee selected 64 papers which are published in these conference proceedings and represent an acceptance rate of 60%. In this relevant edition, a particular emphasis was put on the organization of special sessions. Seven special sessions were organized related to relevant topics such as machine learning and computer vision in Industry 4.0; time series forecasting in industrial and environmental applications; optimization, modeling, and control by soft computing techniques; soft computing applied to renewable energy systems; preprocessing big data in machine learning; tackling real-world problems with artificial intelligence. The selection of papers was extremely rigorous to maintain the high quality of the conference. We want to thank the members of the program committees for their hard work during the reviewing process. This is a crucial process for creating a high-standard conference; the SOCO conference would not exist without their help.

• Keys to Successful Product and Process Innovation through Soft TQM: An ANN Approach.- Big Data Techniques and internal control: An Evidence from Egypt.- What is stopping you from using mobile payment in Oman?.- Social Media Influencer Marketing: How Influencer Content help?.- Adoption Decision and Alleviation of Mobile Payment.- Blockchain Technology in Malaysian Estate Distribution: A Systematic Review.- An Overview of the Smart Grid attributes, Architecture and Components.- The Mobile Attacks under Internet of Things Networks.- An Overview of Blockchain-based IoT Architectures and Designs.- Modeling and Performance Evaluation of Solar Cells Using I-V curve Analysis.
• (source: Nielsen Book Data)

This book sheds light on the recent research directions in intelligent systems and their applications. It involves two main themes, including management information systems and advances in information security and networking. The discussion of the most recent designs, advancements, and modifications of intelligent systems, as well as their applications, is a key component of the chapters contributed to the aforementioned subjects.
(source: Nielsen Book Data)

• ECG Signal Classification Based on Neural Network.- A Review of Long Short-Term Memory Approach for Time Series Analysis and Forecasting.- Applying Modified LBP For 2D ECG Images Classification.- Integrating Ontology with Imaging and Artificial Vision for a High-Level Semantic: A Review.- Agent-Based Simulations for Aircraft Boarding: A Critical Review.- Adaptive Systems and Materials Technologies in Civil Engineering: A review.- A New Method for EEG signals Classification Based on RBF NN.- Intelligent Fault Detection of Rotating Machinery Using Long-Short-Term Memory (LSTM) Network.- What People Post During the Movement Control Order (MCO): A Content Analysis of Instagram's Top Posts.- A Comparative Study on the Recognition of English and Arabic Handwritten Digits Based on the Combination of Transfer Learning and Classifier.
• (source: Nielsen Book Data)

This book sheds light on the recent research directions in intelligent systems and their applications. It involves four main themes: artificial intelligence and data science, recent trends in software engineering, emerging technologies in education, and intelligent health informatics. The discussion of the most recent designs, advancements, and modifications of intelligent systems, as well as their applications, is a key component of the chapters contributed to the aforementioned subjects.
(source: Nielsen Book Data)

• Part 1. Fuzzy Recognition
• 01. Difficulties in recognizing flat shapes based on Fuzzy logic
• 2. The problem of parsing and recognizing individual objects of information on base of fuzzy Logic
• 3. Call Center and Robot Call Center How to Reduce the Cost
• 4. An intelligent method for optimizing calculations in the recognition of sound information

This book is a collection of papers presented during the 8th World Conference on Soft Computing in February 2022. The papers cover multiple areas important for soft computing. Some papers are dedicated to fundamental aspects of soft computing, i.e., fuzzy mathematics, type-2 fuzzy sets, evolutionary-based optimization, aggregation, and neural networks. Others emphasize the application of soft computing methods to data analysis, image processing, decision-making, classification, series prediction, economics, control, and modeling

• Smart Question Paper Evaluation: Automated Approach Using the Jaccard Similarity.- Smart Patterns: Searching a Pattern in the Unknown Environment Using Hybrid Framework.- Image Processing Techniques for PCB Board Fault Analysis with Object Extraction and Measurements.- Gamification of Knowledge Management System: A Framework to Incentivize Knowledge Sharing for the Software Industry.- Privacy Attributes Aware Framework in Information Disclosure Models for Public During Pandemic.
• (source: Nielsen Book Data)

This book features selected papers from the International Conference on Soft Computing for Security Applications (ICSCS 2022), held at Dhirajlal Gandhi College of Technology, Tamil Nadu, India, during April 21-22, 2022. It covers recent advances in the field of soft computing techniques such as fuzzy logic, neural network, support vector machines, evolutionary computation, machine learning and probabilistic reasoning to solve various real-time challenges. This book presents innovative work by leading academics, researchers, and experts from industry.
(source: Nielsen Book Data)

• Part I. Bigdata Services
• Chapter 1. Modelling Cognitive Scores for Alzheimer's Disease Progression Prediction Using Longitudinal MRI D
• Chapter 2. Various Physiological Methods to Identify Sleep Onset
• Chapter 3. IoT Adoption: Challenges among Small and Medium Enterprises
• Chapter 4. Performance evaluation of Adaptive Neuro Fuzzy Inference System (ANFIS) for the prediction of Cloud Service Provider
• Part II. Bigdata and Security
• Chapter 5. Online Covid-19 Risk Analysis System for Early Detection of Possible Infection
• Chapter 6. Application of Multi focused and Multi Modal image fusion using Guided Filter on Bio-Medical Images
• Chapter 7. Experimental Comparative Analysis on Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) on Aspect Level Sentiment Analysis
• Part III. Bigdata Emerging Applications
• Chapter 8. Data hiding in binary images for secret and secure communication using decision tree
• Chapter 9. Private and Secure Blockchain-based mechanism for an Online Voting System
• Chapter 10. AI-Enabled Pregnancy Risk Monitoring and Prediction: A Review
• Chapter 11. Finger Knuckle Print Recognition using Complex Conjugate Feature Vector
• Part IV. Bigdata and Technology
• Chapter 12. What Your Tweets Say about You A case study of Extraversion and word usage
• Chapter 13. An Automated Cervical Cancer Detection mechanism using Pap smear images
• Chapter 14. A Systematic Literature Review on Data Freshness for reinforcing mutual authentication in Wireless Body Area Networks
• Chapter 15. Detection of Non-Technical Losses in Power Utilities Using Machine Learning
• Part V. Bigdata in Medical Applications
• Chapter 16. A Novel Real Time 3D Object Detection Network in Autonomous Driving using reformed rs-resnet network
• Chapter 17. Solar radiation prediction using the random forest regression algorithm
• Chapter 18. Vehicular Support System for User and Vehicle Accident Prevention.

This book features the proceedings of the 4th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2021). The papers feature detail on cognitive computing and its self-learning systems that use data mining, pattern recognition and natural language processing (NLP) to mirror the way the human brain works. This international conference focuses on technologies from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches. Topics covered include Data Science for Cognitive Analysis, Real-Time Ubiquitous Data Science, Platform for Privacy Preserving Data Science, and Internet-Based Cognitive Platform.
(source: Nielsen Book Data)

• 1.TEACHING ENGLISH AS A SECOND LANGUAGE: IMPROVING DIGITAL LITERACY SKILLS.-
• 2. ICT Based Collaborative Learning Approach: Enhancing Students' Language Skills.- 3.Modified Sierpinski Carpet Fractal Antenna for the Wireless Applications.- 4.COVID 19 Recovery Prediction using Regression based Machine Learning Approaches.- 5.Regression to Forecast: An In-play Outcome Prediction for One-day Cricket Matches.
• (source: Nielsen Book Data)

This book presents original, peer-reviewed select articles from the International Conference on Cognitive & Intelligent Computing (ICCIC - 2021), held on December 11-12, 2021, at Hyderabad, India. The proceedings has cutting edge Research outcome related to Machine learning in control applications, Soft computing, Pattern Recognition, Decision Support Systems, Text analytics and NLP, Statistical Learning, Neural Network Learning, Learning Through Fuzzy Logic, Learning Through Evolution (Evolutionary Algorithms), Reinforcement Learning, Multi-Strategy Learning, Cooperative Learning, Planning And Learning, Multi-Agent Learning, Online And Incremental Learning, Scalability Of Learning Algorithms, Inductive Learning, Inductive Logic Programming, Bayesian Networks, Support Vector Machines, Case-Based Reasoning, Multi-Agent Systems, Human-Computer Interaction, Data Mining and Knowledge Discovery, Knowledge Management and Networks, Data Intensive Computing Architecture, Medicine, Health, Bioinformatics, and Systems Biology, Industrial and Engineering Applications, Security Applications, Smart Cities, Game Playing and Problem Solving, Intelligent Virtual Environments, Economics, Business, And Forecasting Applications. Articles in the book are carefully selected on the basis of their application orientation. The content is expected to be especially useful for Professionals, Researchers, Research students working in the area of cognitive and intelligent computing.
(source: Nielsen Book Data)