Lavoisier S.A.S.
14 rue de Provigny
94236 Cachan cedex
FRANCE

Heures d'ouverture 08h30-12h30/13h30-17h30
Tél.: +33 (0)1 47 40 67 00
Fax: +33 (0)1 47 40 67 02


Url canonique : www.lavoisier.fr/livre/informatique/artificial-intelligence-for-intelligent-systems/descriptif_5096574
Url courte ou permalien : www.lavoisier.fr/livre/notice.asp?ouvrage=5096574

Artificial Intelligence for Intelligent Systems Fundamentals, Challenges, and Applications Intelligent Data-Driven Systems and Artificial Intelligence Series

Langue : Anglais

Coordonnateurs : Khan Inam Ullah, Ouaissa Mariya, Ouaissa Mariyam, Fayaz Muhammad, Ullah Rehmat

Couverture de l’ouvrage Artificial Intelligence for Intelligent Systems

The aim of this book is to highlight the most promising lines of research, using new enabling technologies and methods based on AI/ML techniques to solve issues and challenges related to intelligent and computing systems. Intelligent computing easily collects data using smart technological applications like IoT-based wireless networks, digital healthcare, transportation, blockchain, 5.0 industry and deep learning for better decision making. AI enabled networks will be integrated in smart cities concept for interconnectivity. Wireless networks will play an important role. The digital era of computational intelligence will change the dynamics and lifestyle of human beings. Future networks will be introduced with the help of AI technology to implement cognition in real-world applications. Cyber threats are dangerous to encode information from network. Therefore, AI-Intrusion detection systems need to be designed for identification of unwanted data traffic.

This book:

  • Provides a better understanding of artificial intelligence-based applications for future smart cities.
  • Presents a detailed understanding of artificial intelligence tools for intelligent technologies.
  • Showcases intelligent computing technologies in obtaining optimal solutions using artificial intelligence.
  • Discusses energy-efficient routing protocols using artificial intelligence for Flying ad-hoc networks (FANETs).
  • Covers machine learning-based Intrusion detection system (IDS) for smart grid.

It is primarily written for Senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering.

I. Recent Trends and Challenges of Artificial Intelligence. 1. Unleashing the Power of Artificial Intelligence: Exploring Multidisciplinary Frontiers for Innovation and Impact. 2. Advancements in Deep Learning: Unveiling Future Trends and Applications Across AI for Intelligent Computing. 3.Comprehensive Comparative Analysis of Artificial Intelligence, Machine Learning, and Deep Learning. 4.Applications of Artificial Intelligence in Smart Distributed Processing and Big Data Mining. 5. Quantum AI: Uniting the Future of Smart Technologies. II. Secure Artificial Intelligence in Computing Systems. 6.The Significance of Artificial Intelligence in Cyber Security. 7.Securing the Internet of Things with Blockchain. 8.Data Traffic Management In AI-IoT Network to Reduce Congestion. 9.Artificial Intelligence Enabled Anomaly-IDS for IoT-Network: Trends, Solutions & Challenges. III.Big Data Analytics Applying in Current Applications. 10.Big Data Intelligence in Health Care. 11. Trends and Challenges in Harnessing Big Data Intelligence for Healthcare Transformation. 12.Improving Hepatitis C Diagnosis using Machine Learning Techniques: An Experimental Analysis. 13.A Step Towards the Detection of Alzheimer’s Disease using Ensemble Learning. 14.Exploring the Use of Machine Learning Algorithms in Early Detection of Liver Disease. 15. Intelligent Transportation Channels for Smart Cities. 16.Digital Twins for Industry 4.0 and 5.0

Academic, Postgraduate, and Undergraduate Advanced

Dr. Inam Ullah Khan is the Founder of Internet of Flying Vehicles-Lab at AI-EYS. Recently, he is working as Global Mentor/ Guest Lecturer at Impact Xcelerator, IE School of Science and Technology, Madrid, Spain. Previously, he was working as visiting researcher at King’s College London, United Kingdom. Also, he was faculty member at different universities in Pakistan which include Center for Emerging Sciences Engineering & Technology (CESET), Islamabad, Abdul Wali Khan University, Garden Campus, Timergara Campus, University of Swat & Shaheed Zulfikar Ali Bhutto Institute of Science and Technology (SZABIST), Islamabad Campus. He completed his Ph.D. in Electronics Engineering from Department of Electronic Engineering, Isra University, Islamabad Campus, School of Engineering & Applied Sciences (SEAS). Also, he did his M.S. degree in Electronic Engineering at Department of Electronic Engineering, Isra University, Islamabad Campus, School of Engineering & Applied Sciences (SEAS). He had done undergraduate degree in Bachelor of Computer Science from Abdul Wali Khan University Mardan, Pakistan. He authored/coauthored more than 50 research articles in reputable journals, conferences and book chapters. His research interest includes Network System Security, Intrusion Detection, Intrusion Prevention, cryptography, Optimization techniques, WSN, IoT, Mobile Ad Hoc Networks (MANETS), Flying Ad Hoc Networks, and Machine Learning. He served in many international conferences as Session Chair/ Technical program committee member. Also, he served as Guest Editor with many prestigious international journals. Apart from that he is General Chair at International Conference on Trends and Innovations in Smart Technologies (ICTIST’22), virtually from London, United Kingdom. In addition, he also served as editor of several books. More interestingly, he was invited as technology expert many times on Pakistan National Television and other media outlets.

Dr.

Date de parution :

15.6x23.4 cm

À paraître, réservez-le dès maintenant

184,47 €

Ajouter au panier