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This book includes the original, peer reviewed research articles
from the 2nd International Conference on Cybernetics, Cognition and
Machine Learning Applications (ICCCMLA 2020), held in August, 2020
at Goa, India. It covers the latest research trends or developments
in areas of data science, artificial intelligence, neural networks,
cognitive science and machine learning applications, cyber physical
systems and cybernetics.
This book provides a collection of selected papers presented at the
International Conference on Cybernetics, Cognition and Machine
Learning Applications (ICCCMLA 2019), which was held in Goa, India,
on 16-17 August 2019. It covers the latest research trends and
advances in the areas of data science, artificial intelligence,
neural networks, cognitive science and machine learning
applications, cyber-physical systems, and cybernetics.
This book includes the original, peer reviewed research articles
from the 2nd International Conference on Cybernetics, Cognition and
Machine Learning Applications (ICCCMLA 2020), held in August, 2020
at Goa, India. It covers the latest research trends or developments
in areas of data science, artificial intelligence, neural networks,
cognitive science and machine learning applications, cyber physical
systems and cybernetics.
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Advanced Computing - 12th International Conference, IACC 2022, Hyderabad, India, December 16–17, 2022, Revised Selected Papers, Part I (1st ed. 2023)
Deepak Garg, V. A. Narayana, P.N Suganthan, Jaume Anguera, Vijaya Kumar Koppula, …
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R3,035
Discovery Miles 30 350
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Ships in 10 - 15 working days
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This two-volume set constitutes reviewed and selected papers
from the 12th International Advanced Computing Conference,
IACC 2022, held in Hyderabad, India, in December 2022. The 72
full papers and 6 short papers presented in the volume were
thorougly reviewed and selected from 415 submissions. The papers
are organized in the following topical sections: ​AI in
industrial applications; application of AI for disease
classification and trend analysis; design of agricultural
applications using AI; disease classification using CNN;
innovations in AI; system security and communication using AI; use
of AI in human psychology; use of AI in music and video industries.
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Advanced Computing - 12th International Conference, IACC 2022, Hyderabad, India, December 16–17, 2022, Revised Selected Papers, Part II (1st ed. 2023)
Deepak Garg, V. A. Narayana, P.N Suganthan, Jaume Anguera, Vijaya Kumar Koppula, …
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R2,771
Discovery Miles 27 710
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Ships in 10 - 15 working days
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This two-volume set constitutes reviewed and selected papers
from the 12th International Advanced Computing Conference,
IACC 2022, held in Hyderabad, India, in December 2022. The 72
full papers and 6 short papers presented in the volume were
thorougly reviewed and selected from 415 submissions. The papers
are organized in the following topical sections: ​AI in
industrial applications; application of AI for disease
classification and trend analysis; design of agricultural
applications using AI; disease classification using CNN;
innovations in AI; system security and communication using AI; use
of AI in human psychology; use of AI in music and video industries.
This book addresses and disseminates state-of-the-art research and
development of differential evolution (DE) and its recent advances,
such as the development of adaptive, self-adaptive and hybrid
techniques. Differential evolution is a population-based
meta-heuristic technique for global optimization capable of
handling non-differentiable, non-linear and multi-modal objective
functions. Many advances have been made recently in differential
evolution, from theory to applications. This book comprises
contributions which include theoretical developments in DE,
performance comparisons of DE, hybrid DE approaches, parallel and
distributed DE for multi-objective optimization, software
implementations, and real-world applications. The book is useful
for researchers, practitioners, and students in disciplines such as
optimization, heuristics, operations research and natural
computing.
This book addresses and disseminates state-of-the-art research and
development of differential evolution (DE) and its recent advances,
such as the development of adaptive, self-adaptive and hybrid
techniques. Differential evolution is a population-based
meta-heuristic technique for global optimization capable of
handling non-differentiable, non-linear and multi-modal objective
functions. Many advances have been made recently in differential
evolution, from theory to applications. This book comprises
contributions which include theoretical developments in DE,
performance comparisons of DE, hybrid DE approaches, parallel and
distributed DE for multi-objective optimization, software
implementations, and real-world applications. The book is useful
for researchers, practitioners, and students in disciplines such as
optimization, heuristics, operations research and natural
computing.
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