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International Conference on Emerging Applications and Technologies for Industry 4.0 (EATI2020): Emerging Applications and Technologies for Industry 4.0 1st ed. 2021 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 296 pages, height x width: 235x155 mm, weight: 480 g, 70 Illustrations, color; 31 Illustrations, black and white; XIII, 296 p. 101 illus., 70 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Networks and Systems 254
  • Izdošanas datums: 15-Jul-2021
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030802159
  • ISBN-13: 9783030802158
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  • Cena: 136,16 €*
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International Conference on Emerging Applications and Technologies for Industry 4.0 (EATI2020): Emerging Applications and Technologies for Industry 4.0 1st ed. 2021Palielināt
  • Formāts: Paperback / softback, 296 pages, height x width: 235x155 mm, weight: 480 g, 70 Illustrations, color; 31 Illustrations, black and white; XIII, 296 p. 101 illus., 70 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Networks and Systems 254
  • Izdošanas datums: 15-Jul-2021
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030802159
  • ISBN-13: 9783030802158
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783030802158.html

This 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.

 


The 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.