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Machine learning and metaheuristicsmethods and analysis /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Machine learning and metaheuristicsedited by Uma N. Dulhare, Essam Halim Houssein.
Reminder of title:	methods and analysis /
other author:	Dulhare, Uma N.
Published:	Singapore :Springer Nature Singapore :2023.
Description:	xiii, 295 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Machine learning.
Online resource:	https://doi.org/10.1007/978-981-99-6645-5
ISBN:	9789819966455$q(electronic bk.)

Machine learning and metaheuristicsmethods and analysis /
Machine learning and metaheuristicsmethods and analysis /[electronic resource] :edited by Uma N. Dulhare, Essam Halim Houssein. - Singapore :Springer Nature Singapore :2023. - xiii, 295 p. :ill., digital ;24 cm. - Algorithms for intelligent systems,2524-7573. - Algorithms for intelligent systems..

Biomedical imaging segmentation and classification framework based on soft computing techniques -- On the use of the interactive autodidactic school optimization algorithm for solving real-world engineering optimization problems -- Renewable energy optimization solutions using meta-heuristics methods -- Accelerating the arithmetic optimization algorithm by cuckoo search algorithm for solving global optimization problems -- Metaheuristic algorithms for the classification and prediction of skin lesions: a comprehensive review -- Bayesian consideration for labourer's job performance at home in the COVID-19 pandemic -- Fuzzy logic controller based off-grid solar water pumping system -- An efficient framework for enhancing the performance of biomedical data analysis -- Renewable energy optimization system using fuzzy logic -- An overview of optimization methods in renewable energy technologies -- Use of artificial intelligence and GIS technologies in healthcare services -- ANN and evolution algorithms in ML -- Machine learning and deep learning: essentials and approaches -- Predicting RNA mutations mechanism based on deep neural network -- Comparative analysis for prediction of diseases with feature extraction using machine learning classifiers -- Word sense disambiguation for Hindi language using LSTM neural network technique -- Automatic prediction of non-alcoholic liver disease using deep learning models -- Recent advances for enabling effective human interaction with cognitive robots.

This book takes a balanced approach between theoretical understanding and real-time applications. All the topics included real-world problems which show how to explore, build, evaluate, and optimize machine learning models fusion with metaheuristic algorithms. Optimization algorithms classified into two broad categories as deterministic and probabilistic algorithms. The content of book elaborates optimization algorithms such as particle swarm optimization, ant colony optimization, whale search algorithm, and cuckoo search algorithm.

ISBN: 9789819966455$q(electronic bk.)

Standard No.: 10.1007/978-981-99-6645-5doiSubjects--Topical Terms:

188639
Machine learning.

LC Class. No.: Q325.5 / .M334 2023

Dewey Class. No.: 006.31

Machine learning and metaheuristicsmethods and analysis /
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505 0 $a Biomedical imaging segmentation and classification framework based on soft computing techniques -- On the use of the interactive autodidactic school optimization algorithm for solving real-world engineering optimization problems -- Renewable energy optimization solutions using meta-heuristics methods -- Accelerating the arithmetic optimization algorithm by cuckoo search algorithm for solving global optimization problems -- Metaheuristic algorithms for the classification and prediction of skin lesions: a comprehensive review -- Bayesian consideration for labourer's job performance at home in the COVID-19 pandemic -- Fuzzy logic controller based off-grid solar water pumping system -- An efficient framework for enhancing the performance of biomedical data analysis -- Renewable energy optimization system using fuzzy logic -- An overview of optimization methods in renewable energy technologies -- Use of artificial intelligence and GIS technologies in healthcare services -- ANN and evolution algorithms in ML -- Machine learning and deep learning: essentials and approaches -- Predicting RNA mutations mechanism based on deep neural network -- Comparative analysis for prediction of diseases with feature extraction using machine learning classifiers -- Word sense disambiguation for Hindi language using LSTM neural network technique -- Automatic prediction of non-alcoholic liver disease using deep learning models -- Recent advances for enabling effective human interaction with cognitive robots.
520 $a This book takes a balanced approach between theoretical understanding and real-time applications. All the topics included real-world problems which show how to explore, build, evaluate, and optimize machine learning models fusion with metaheuristic algorithms. Optimization algorithms classified into two broad categories as deterministic and probabilistic algorithms. The content of book elaborates optimization algorithms such as particle swarm optimization, ant colony optimization, whale search algorithm, and cuckoo search algorithm.
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