Computational Intelligent Systems
Applications of AI and Machine Learning
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Beschreibung
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.
Explores a range of topics, such as AI, machine learning, neural networks, fuzzy logic and evolutionary algorithms Highlights applications in healthcare, robotics, cybersecurity, e-agriculture, smart cities and wearable technology Showcases the latest advancements in Li-Fi technology, deep learning and AI-driven frameworks for diagnostics
Autor*in
M. Irfan Uddin
Themen in »Computational Intelligent Systems«
artificial intelligence and machine learning chromosomal anomaly detection automatic text summarization advanced neural networks desolation among social media users data-driven analysis intelligent traffic management smart cities ensemble learning algorithms data transfer in hospitals Li-Fi technology generative adversarial network banknote originality verification deep neural network classifier random forest