Ali Hybrid Intelligence: Theories and Applications

Hybrid Intelligence: Theories and Applications

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Proceedings of HITA 2024

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Beschreibung

This book presents selected papers from International Conference on Hybrid Intelligence: Theories and Applications (HITA 2024), held on 18–19 October 2024, in Shobhit University, Gangoh Campus, Saharanpur, Uttar Pradesh, India. The topics covered in the book are fuzzy set theory, machine learning algorithms, machine learning models, deep learning, neural networks, natural language processing, swarm intelligence, metaheuristics, bio-inspired computing, and evolutionary intelligence.


This book presents selected papers from International Conference on Hybrid Intelligence: Theories and Applications (HITA 2024), held on 18–19 October 2024, in Shobhit University, Gangoh Campus, Saharanpur, Uttar Pradesh, India. The topics covered in the book are fuzzy set theory, machine learning algorithms, machine learning models, deep learning, neural networks, natural language processing, swarm intelligence, metaheuristics, bio-inspired computing, and evolutionary intelligence.


Presents recent innovative research in the field of hybrid intelligence Discusses the outcomes of HITA 2024, held in Gangoh, India Serves as a reference resource for researchers and practitioners in academia and industry

Autor*in

Montaz Ali

Themen in »Hybrid Intelligence: Theories and Applications«

Hybrid Intelligence Intelligent Systems Machine Learning Artificial Neural Networks Metaheuristics Nature Inspired Computing HITA 2024 Proceedings

Stimmen zu »Hybrid Intelligence: Theories and Applications«

Details

ISBN: 9789819677528
Verlag: Springer Singapore
Erscheinung: 25.11.2025

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