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• Design of a segmentation and classification system for seed detection based on pixel intensity thresholds and convolutional neural networks
• Classification of Focused Perturbations Using Time-Variant Functional Connectivity with rs-fmri
• Escherichia coli: Analysis of Features for Protein Localization Classification employing Fusion Data
• Artificial Bee Colony-Based Dynamic Sliding Mode Controller for Integrating Processes with Inverse Response and Deadtime
• Optimizing a Dynamic Sliding Mode Controller with Bio-Inspired Methods: A Comparison
• A robust controller based on LAMDA and Smith Predictor applied to a system with dominant time delay
• Recursive neural networks tuned with a genetic algorithm for the prediction of the Bancolombia stock.

This book constitutes the refereed proceedings of the 5th IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2022, held in Cali, Colombia during July 27-29, 2022. The 7 extended papers included in this book were carefully reviewed and selected from 38 submissions. They were organized in topical sections as follows: Design of a segmentation and classification system for seed detection based on pixel intensity thresholds and convolutional neural networks.

• SIFT Application Separates Motion Characteristics and Identifies Symbols on Tires
• Localization and classification of thoracic abnormalities from chest radiographs using deep ensemble model
• Comparative Study on Different Approaches for Understanding the Privacy Policies
• A framework for the development of Intrusion detection system using Deep Learning
• A Self Explainable Face Anti-Spoofing Solution based on Depth-Estimation
• A Nave Approach for Mutation Detection using Color Encodings and String Matching Techniques
• Particulate Matter Concentration Estimation from Images Based on Convolution Neural Network
• Brain Tumor Prediction from MRI Images using an ensemble model based on EcientNet-B2, B4, and ResNet34 architectures
• Automatic Abnormality Detection in Musculoskeletal Radiographs using Ensemble of Pre-trained Networks
• Ablation study of Indian Automatic Vehicle Number Plate Recognition model trained over Synthetic dataset
• An Approach of Hate Speech Identification on Twitter Corpus
• A Fuzzy C-Means Based Clustering Protocol to Improve QoS of Multi Sink WSNs
• A Descriptive Analysis of Reddit Comments using Data Analytics Approach
• Streamflow forecasting using novel ANFIS-GWO approach
• A Novel COVID-19 Based Optimization Algorithm (C-19BOA) for Multimodal Optimization Processes
• A Survey on Medical Image Analysis Using Deep Learning
• Improving English-Assamese Neural Machine Translation using Transliteration-based Approach
• Prediction of Air Quality using Machine Learning
• Inter domain text classification: A hybrid approach
• Sentimental Analysis of Twitter Users Text Using Machine Learning.

The book presents the proceedings of the 10th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2022), held at NIT Mizoram, Aizawl, Mizoram, India during 18 19 June 2022. Researchers, scientists, engineers, and practitioners exchange new ideas and experiences in the domain of intelligent computing theories with prospective applications in various engineering disciplines in the book. These proceedings are divided into two volumes. It covers broad areas of information and decision sciences, with papers exploring both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols and architectures. This volume is a valuable resource for postgraduate students in various engineering disciplines.

• Missing Data Imputation for Solar Radiation using Generative Adversarial Networks.- A Survey on Object Detection and Tracking in a Video Sequence.- Story-Plot Recommender using Bidirectional LSTM network.- A Novel Technique for Fake Signature Detection using Two-Tiered Transfer Learning.- Personality Prediction through Handwriting Analysis using Convolutional Neural Networks.- A review on deep learning framework for Alzheimer Disease detection from MRI.- Machine Learning And IoT Based Ultrasonic Humidification Control System For Longevity Of Fruits And Vegetables.- Classification of Melanoma using Efficient Nets with Multiple Ensembles and Metadata.- Performance of Optimization Algorithms in Attention based Deep Learning Model for Fake News Detection System.
• (source: Nielsen Book Data)

The book presents high quality research papers presented at International Conference on Computational Intelligence (ICCI 2020) held at Indian Institute of Information Technology, Pune, India during 12-13 December, 2020. The topics covered are artificial intelligence, neural network, deep learning techniques, fuzzy theory and systems, rough sets, self-organizing maps, machine learning, chaotic systems, multi-agent systems, computational optimization ensemble classifiers, reinforcement learning, decision trees, support vector machines, hybrid learning, statistical learning. metaheuristics algorithms: evolutionary and swarm-based algorithms like genetic algorithms, genetic programming, differential evolution, particle swarm optimization, whale optimization, spider monkey optimization, firefly algorithm, memetic algorithms. And also machine vision, Internet of Things, image processing, image segmentation, data clustering, sentiment analysis, big data, computer networks, signal processing, supply chain management, web and text mining, distributed systems, bioinformatics, embedded systems, expert system, forecasting, pattern recognition, planning and scheduling, time series analysis, human-computer interaction, web mining, natural language processing, multimedia systems, and quantum computing.
(source: Nielsen Book Data)

• Intro
• Preface
• Contents
• About the Editors
• 1 Entropy Measure for the Linguistic Intuitionistic Fuzzy Set
• 1 Introduction
• 2 Preliminaries
• 3 Drawbacks of the Existing Entropy Measures
• 4 Proposed Entropy Measure for LIFS
• 5 Conclusion
• References
• 2 IoT-Based Smart City Architecture and Its Applications
• 1 Introduction
• 2 Literature Review
• 3 The Internet-of-Things (IoT)
• 3.1 Components Used
• 4 Proposed Work
• 4.1 Smart Home Automation
• 4.2 Smart Parking
• 4.3 Smart Water Monitoring System
• 4.4 Smoke Detector Alarm
• 4.5 Smart Water Harvesting

• 4.6 Proposed Model for IoT-Based Smart City Platform
• 5 A Combination of Innovative Technologies Can Transform Our Cities
• 5.1 City-Wide Information Systems for Sustainable Cities
• 5.2 Public Safety and Security
• 5.3 Smart Buildings and Infrastructure
• 5.4 Energy and Environment Management Systems
• 5.5 Health Care and Telemedicine
• 6 Smart City Initiatives and Concepts Based on ICT
• 6.1 Citizens-Centered Smart City Initiatives
• 6.2 Realize Smart Cities, It is Necessary to Create an Artificial Intelligence-Based Decision Support System

• 6.3 Smart Cities Are the Way of the Future
• 7 Conclusion
• References
• 3 Principal Component Analysis and Correlation Coefficient-Based Decision-Making Approach for Stock Portfolio Selection
• 1 Introduction
• 2 Proposed Methodology
• 2.1 To Determine Criteria Weights
• 2.2 To Rank the Alternatives
• 3 A Real Case Study
• 4 Results and Discussions
• 4.1 Comparative Analysis
• 4.2 Sensitivity Analysis
• 4.3 Portfolio Analysis
• 5 Conclusions
• References
• 4 Survey on Crop Production and Crop Protection
• 1 Introduction
• 2 Literature Survey
• 3 Analysis of the Survey

• 4 Inference from the Analysis
• 5 Conclusion
• 6 Future Scope
• References
• 5 Disease Detection for Grapes: A Review
• 1 Introduction
• 2 Survey of Methods for Plants Disease Detection
• 3 Survey of Methods for Grapes Disease Detection
• 4 Summary
• 5 Challenges and Future Directions for Researchers
• 6 Conclusion
• References
• 6 URL Weight-Based Round Robin Load Balancing in Cloud Environment
• 1 Introduction
• 1.1 Cloud Load Balancing
• 1.2 Cloud Computing Service Model Types
• 1.3 Cloud Load Balancing Features
• 1.4 Cloud Load Balancing Approaches

• 1.5 Cloud Load Balancing Benefits
• 1.6 Challenges of Cloud Load Balancing
• 1.7 Applications of Cloud Load Balancing
• 2 Literature Survey
• 3 Proposed Methodology: URL Weight-Based Round Robin Cloud Load Balancing in Cloud Servers
• 4 Results
• 5 Conclusion
• References
• 7 Determination of Thickness and Refractive Indices of Thin Films from Reflectivity Spectrum Using Rao-1 Optimization Algorithm
• 1 Introduction
• 2 Rao-1 Algorithm
• 3 Application of Rao-1 Algorithm for Determination of Thickness and Refractive Index of ARC Thin Film

The book presents high quality research papers presented at International Conference on Computational Intelligence (ICCI 2022) held at Indian Institute of Information Technology Pune, India during 29 30 December, 2022. The topics covered are artificial intelligence, neural network, deep learning techniques, fuzzy theory and systems, rough sets, self-organizing maps, machine learning, chaotic systems, multi-agent systems, computational optimization ensemble classifiers, reinforcement learning, decision trees, support vector machines, hybrid learning, statistical learning, metaheuristics algorithms: evolutionary and swarm-based algorithms like genetic algorithms, genetic programming, differential evolution, particle swarm optimization, whale optimization, spider monkey optimization, firefly algorithm, memetic algorithms. And also machine vision, Internet of Things, image processing, image segmentation, data clustering, sentiment analysis, big data, computer networks, signal processing, supply chain management, web and text mining, distributed systems, bioinformatics, embedded systems, expert system, forecasting, pattern recognition, planning and scheduling, time series analysis, human-computer interaction, web mining, natural language processing, multimedia systems, and quantum computing

• Computational Intelligence.- Computational Intelligence in Communication.- Computational Intelligence in Analytics.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 4th International Conference on Computational Intelligence, Communications, and Business Analytics, CICBA 2022, held in Silchar, India, in January 2022.The 21 full papers and 13 short papers presented in this volume were carefully reviewed and selected from 107 submissions. The papers are organized in topical sections on computational intelligence; computational intelligence in communication; and computational intelligence in analytics.
(source: Nielsen Book Data)

• Comparative Analysis of Sensor-based Human Activity Recognition using Artificial Intelligence.- A survey on cervical cancer detection and classification using deep learning.- Counting Number of people and social distance detection using deep learning.- Analysis of Age Sage Classification for Students' Social Engagement using REPTree & Random Forest.- Factual Data Protection Procedure on IoT-Based Customized Medicament Innovations.- Deep Learning based Covid-19 patients detection.- A progressive approach of designing and analysis of Solar and wind stations integrated with the grid connected systems.- A Survey on Techniques and Methods of Recommender System.- Live Social Spacing Tracker Based on Domain Detection.- Assessing Layer Normalization with BraTS MRI Data in a Convolution Neural Net
• Data set creation and Empirical analysis for detecting signs of depression from social media postings.- Classification and Prediction of lung cancer with histopathological images using VGG-19 architecture.- Analysis of the Impact of White Box Adversarial Attacks in ResNet While Classifying Retinal Fundus Images.- Factors Influencing the Helpfulness of Online Consumer Reviews.- Perspective Review on Deep Learning Models to Medical Image Segmentation.- Real Time Captioning and Notes Making of Online classes.- Disease Identification in Tomato Leaf using pre-trained ResNet and Deformable Inception.- Allowance of Driving Based on Drowsiness Detection using Audio and Video Processing.- Detection and classification of Groundnut Leaf Disease using Convolutional Neural Network.- Enhanced Residual Connections Method for Low Resolution Images in Rice Plant Disease Classification.- COVI-PROC.- GPS Tracking Traffic Management System using Priority Based Algorithm.- Accident detection system using deep learning.- Monitoring of PV Modules and Hotspot Detection using Convolution Neural Network based Approach.- Literature review on human behavioural analysis using deep learning algorithm.- An improved Ensemble Extreme Learning Machine classifier for detecting diabetic retinopathy in fundus images.- Text Mining Amazon Mobile Phone Reviews: Insight from an Exploratory Data Analysis.- Supervised Learning of Procedures from Tutorial Videos.
• (source: Nielsen Book Data)

This book constitutes the refereed post-conference proceedings of the Fifth IFIP TC 12 International Conference on Computational Intelligence in Data Science, ICCIDS 2022, held virtually, in March 2022. The 28 revised full papers presented were carefully reviewed and selected from 96 submissions. The papers cover topics such as computational intelligence for text analysis; computational intelligence for image and video analysis; blockchain and data science.
(source: Nielsen Book Data)

FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to include Computational Intelligence for applied research. The contributions of the FLINS conference cover state-of-the-art research, development, and technology for computational intelligence systems, with special focuses on data science and knowledge engineering for sensing decision support, both from the foundations and the applications points-of-view.
(source: Nielsen Book Data)

ICCCI is the primary annual computer and computational intelligence conference aimed at presenting current research from scientists, scholars, engineers and students from universities and industries around the world, and hence to foster research relationships among them. This conference provides opportunities for delegates to exchange new ideas and experiences face to face, to establish business or research relationships and to find global partners for future collaboration