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Machine Intelligence, Tools, and Applications : Proceedings of the International Conference on Machine Intelligence, Tools, and Applications—ICMITA 2024 / edited by Satchidananda Dehuri, Sung-Bae Cho, Venkat Prasad Padhy, Poonkuntrun Shanmugam, Ashish Ghosh.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2024 Available online

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Format:
Book
Author/Creator:
Dehuri, Satchidananda.
Contributor:
Cho, Sung-Bae.
Padhy, Venkat Prasad.
Shanmugam, Poonkuntrun.
Ghosh, Ashish.
Series:
Learning and Analytics in Intelligent Systems, 2662-3455 ; 40
Language:
English
Subjects (All):
Computational intelligence.
Artificial intelligence.
Machine learning.
Computational Intelligence.
Artificial Intelligence.
Machine Learning.
Local Subjects:
Computational Intelligence.
Artificial Intelligence.
Machine Learning.
Physical Description:
1 online resource (435 pages)
Edition:
1st ed. 2024.
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Summary:
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.
Contents:
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.
ISBN:
3-031-65392-0

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