Description
Book SynopsisThis book addresses the adoption of intelligent algorithms for resolving challenges in different aspects of the society such as sport, cyber-security, COVID-19 pandemic, advertising, driving, smart environment—sensors, blockchain, cloud computing, and health. In addition, the book also covers machine learning fundamentals such as feature selection. The book presents practical simulation results and different illustrations in different chapters for easy understanding of concepts and approaches. The types of contributions in the book are as follows: original research, survey, and theoretical insight that describe advancement in the adoption of technique for resolving the broad range of challenges. Researchers, undergraduates, postgraduates, and industry experts will find the book as a valuable resource that bridges theory and practice.
Table of ContentsThe Relevance of Nature-Inspired Metaheuristic Algorithms in Smart Sport Training.- Analysis of Variable Learning Rate Back Propagation with Cuckoo Search Algorithm for Data Classification.- A Metaheuristic based virtual machine allocation technique using Whale Optimization Algorithm in cloud.- Data Sampling-based Feature Selection Framework for Software Defect Prediction.- Application of K-Nearest Neighbor Algorithm for Prediction of Television Advertisement Rating.- An Evaluation of the Frameworks for Predicting of COVID-19 in Nigeria using Time Series Data Analytics Model.- Multi-objective Wrapper-based Feature Selection Using Binary Cuckoo Optimisation Algorithm: A Comparison Between NSGAII and NSGAIII.- A Logistic Predictive Model for Determining the Prevalent Mode of Financial Cybercrime in Sub-Saharan Africa.- Mathematical Verification of Hybrid Model for Prime Decision-Making in Driving.- An Efficient Multi-Sensor Positions Human Activity Recognition: Elderly Peoples in Rural Areas in Focus.
