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Machine Intelligence, Tools, and Applications: Proceedings of the International Conference on Machine Intelligence, Tools, and ApplicationsICMITA 2024 2024 ed. [Kõva köide]

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  • Formaat: Hardback, 422 pages, kõrgus x laius: 235x155 mm, 160 Illustrations, color; 51 Illustrations, black and white; XII, 422 p. 211 illus., 160 illus. in color., 1 Hardback
  • Sari: Learning and Analytics in Intelligent Systems 40
  • Ilmumisaeg: 30-Jul-2024
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031653912
  • ISBN-13: 9783031653919
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Machine Intelligence, Tools, and Applications: Proceedings of the International Conference on Machine Intelligence, Tools, and ApplicationsICMITA 2024 2024 ed.Suurem pilt
  • Formaat: Hardback, 422 pages, kõrgus x laius: 235x155 mm, 160 Illustrations, color; 51 Illustrations, black and white; XII, 422 p. 211 illus., 160 illus. in color., 1 Hardback
  • Sari: Learning and Analytics in Intelligent Systems 40
  • Ilmumisaeg: 30-Jul-2024
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031653912
  • ISBN-13: 9783031653919
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783031653919.html

This book presents the recent advances including tools and techniques in the constantly changing landscape of machine learning (ML). This would enable the readers with a strong understanding of critical issues in ML by providing both broad and detailed perspectives on cutting-edge theories, algorithms, and tools. This will become a single source of reference on conceptual, methodological, technical, and managerial issues, as well as provide insight into emerging trends and future opportunities in the discipline of ML. This book contains altogether 36 chapters in the area of ML and its applications.

Fuzzy Guided Genetic Algorithm Routing for Energy Conservation in
Wireless Sensor Networks.- Comparative Analysis of Prediction Models for
Software Bug Prediction.- Mandelbug Classification Engine Transfer Learning
and NLP Approach.- Software Maintenance Prediction Using Regression Models.-
Rough Set ELM Classifier and Deep Architecture for Remote Sensing Images.-
Design of an Efficient Model for Satellite Image Classification Using Graph
Neural Networks and Elephant Herding Optimization.- Multifaceted Analysis of
Climate Trends and Air Quality in Indian Metropolises A Machine Learning and
Time Series Forecasting Approach.- Machine Learning based Analysis and
Forecasting of Electricity Demand in Misamis Occidental Philippines.-
Implementation and Optimization of Swarm based System for Multi Agent
Coordination and Task Execution in Marine Environment.-  Implementing Deep NN
for Plant Disease Detection and Diagnosis.- A PSO approach for two warehouse
inventory problem with imperfect quality and variable discount.- Design of
Intraday Stock Price Prediction Model using Machine Learning via Technical
Indicators.