Uddin M Computational Intelligent Systems Apps of AI and Machine Learning 2026 | 34.5 MB
Title: Computational Intelligent Systems
Author: M. Irfan Uddin · Furqan Aziz · Hossain Jafari
Description:
This book contains select chapters on a broad spectrum of topics on artificial intelligence, machine learning, and computational methodologies. Presented at the 3rd International Conference on Computational Intelligent Systems (ICCIS2024), held at Kohat University of Science and Technology (KUST), Kohat, Pakistan, from 2 to 3 December 2024, it contains 27 chapters. Each chapter offers insightful perspectives on tackling real-world challenges through intelligent algorithms and systems, from optimizing traffic management in smart cities and enhancing healthcare diagnostics with machine learning to advancing information security and leveraging quantum deep learning for innovative applications.
The book explores practical implementations, such as intelligent sensors for highway monitoring, adaptive systems for residential energy efficiency, and groundbreaking technologies for human-computer interaction. It provides a detailed analysis of the potential of computational intelligent systems to address complex issues across diverse domains, including healthcare, robotics, cybersecurity, and e-agriculture. The book is designed for researchers, students, and practitioners encapsulating the latest research findings and methodologies in the evolving landscape of intelligent systems. Whether understanding the theoretical concepts or exploring hands-on applications, readers will find this book a valuable resource for understanding the cutting-edge developments shaping the future of computational intelligence.
This book contains select chapters on a broad spectrum of topics on artificial intelligence, machine learning, and computational methodologies. Presented at the 3rd International Conference on Computational Intelligent Systems (ICCIS2024), held at Kohat University of Science and Technology (KUST), Kohat, Pakistan, from 2 to 3 December 2024, it contains 27 chapters. Each chapter offers insightful perspectives on tackling real-world challenges through intelligent algorithms and systems, from optimizing traffic management in smart cities and enhancing healthcare diagnostics with machine learning to advancing information security and leveraging quantum deep learning for innovative applications.
The book explores practical implementations, such as intelligent sensors for highway monitoring, adaptive systems for residential energy efficiency, and groundbreaking technologies for human-computer interaction. It provides a detailed analysis of the potential of computational intelligent systems to address complex issues across diverse domains, including healthcare, robotics, cybersecurity, and e-agriculture. The book is designed for researchers, students, and practitioners encapsulating the latest research findings and methodologies in the evolving landscape of intelligent systems. Whether understanding the theoretical concepts or exploring hands-on applications, readers will find this book a valuable resource for understanding the cutting-edge developments shaping the future of computational intelligence.
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