Hybrid Intelligent Systems - Anu Bajaj, Ana Maria Madureira & Ajith Abraham

Hybrid Intelligent Systems

ByAnu Bajaj, Ana Maria Madureira & Ajith Abraham

  • Release Date: 2025-07-26
  • Genre: Computers & Internet

Description

This book presents 48 selected papers focused on Large Language Models and Machine Learning from the 23rd International Conference on Hybrid Intelligent Systems, which was held in five different cities namely Olten, Switzerland; Porto, Portugal; Kaunas, Lithuania; Greater Noida, India; Kochi, India and in online mode. The 23rd International Conference on Hybrid Intelligent Systems (HIS 2023) was focusing on synergistic combinations of multiple approaches to develop the next generation of intelligent systems. HIS 2023 had contributions by authors from 44 countries. This book offers a valuable reference guide for all scientists, academicians, researchers, students, and practitioners in the field of artificial intelligence and deep learning.

About "Hybrid Intelligent Systems"

Explore Hybrid Intelligent Systems by Anu Bajaj, Ana Maria Madureira & Ajith Abraham on eBooksStore by Arnlweb. Discover book details, reader ratings, reviews, release information, genres, and related digital books available through the iTunes Store.

This book is part of our growing collection of bestselling eBooks, popular digital reading materials, and trending author releases. Readers can explore similar books, discover new authors, and browse related genres including fiction, romance, mystery, fantasy, business, self-help, educational books, and more.

Our platform helps readers discover highly rated digital books optimized for smartphones, tablets, laptops, and desktop devices. Browse fast-loading book pages, reader reviews, and popular recommendations from bestselling authors worldwide.

Why Readers Explore This Book

  • Detailed book information
  • Reader ratings and reviews
  • Popular author collections
  • Related digital books
  • Mobile-friendly reading discovery
  • Fast-loading book pages
  • Trending eBook recommendations

Popular Reading Categories

  • Fiction & Literature
  • Business & Finance
  • Romance & Drama
  • Mystery & Thriller
  • Fantasy & Adventure
  • Educational eBooks
  • Self-Help & Motivation