Cognitive Machine Intelligence Applications, Challenges, and Related Technologies Intelligent Data-Driven Systems and Artificial Intelligence Series

Cognitive Machine Intelligence: Applications, Challenges, and Related Technologies offers a compelling exploration of the transformative landscape shaped by the convergence of machine intelligence, artificial intelligence, and cognitive computing. In this book, the authors navigate through the intricate realms of technology, unveiling the profound impact of cognitive machine intelligence on diverse fields such as communication, healthcare, cybersecurity, and smart city development. The chapters present study on robots and drones to the integration of machine learning with wireless communication networks, IoT, quantum computing, and beyond. The book explores essential role of machine learning in healthcare, security, and manufacturing. With a keen focus on privacy, trust, and the improvement of human lifestyles, this book stands as a comprehensive guide to the novel techniques and applications driving the evolution of cognitive machine intelligence. The vision presented here extends to smart cities, where AI-enabled techniques contribute to optimal decision-making, and future computing systems address end-to-end delay issues with a central focus on Quality-of-Service metrics. Cognitive Machine Intelligence is an indispensable resource for researchers, practitioners, and enthusiasts seeking a deep understanding of the dynamic landscape at the intersection of artificial intelligence and cognitive computing.

This book:

• Covers a comprehensive exploration of cognitive machine intelligence and its intersection with emerging technologies such as federated learning, blockchain, and 6G and beyond.
• Discusses the integration of machine learning with various technologies such as wireless communication networks, ad-hoc networks, software-defined networks, quantum computing, and big data.
• Examines the impact of machine learning on various fields such as healthcare, unmanned aerial vehicles, cyber security, and neural networks.
• Provides a detailed discussion on the challenges and solutions to future computer networks like end-to-end delay issues, Quality of Service (QoS) metrics, and security.
• Emphasizes the need to ensure privacy and trust while implementing the novel techniques of machine intelligence.

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. AI Trends and Challenges. 1. AI based Computing Applications Future Communication. 2. Advances of Deep Learning and related Applications. 3. Machine Learning for Big Data and Neural Networks. II. Machine Intelligence in Network Technologies. 4. Deformation Prediction and Monitoring using Real-Time WSN and Machine Learning Algorithms: A Review. 5. Unmanned Aerial Vehicles (UAVs) Integration in Healthcare Sector for Transforming Interplay among Smart Cities. 6. Blockchain Technologies Using Machine Learning. 7. Q-learning and Deep Q Networks for Securing IoT Networks, Challenges and Solution. 8. The Application of Artificial Intelligence and Machine Learning in Network Security using a Bibliometric Study. 9. Machine Learning Approaches for Intrusion Detection: Enhancing Cybersecurity and Threat Mitigation. III. Cognitive Machine Intelligence Applications. 10. The Rise of AI in the Field of Healthcare. 11. A Comprehensive Survey of Machine Learning Applications in Healthcare. 12. A Deep Learning Approach for the Early Diagnosis of Melanoma Cancer - Study and Analysis. 13. A Study and Analysis on Nowcasting - Forms of Precipitation using Improvised Random Forest Classifier. 14. A Study and Comparative Analysis on Prediction of Tsunami Using Convolutional Neural Network. 15. Towards Smarter Chatbots: Unravelling the Capabilities of ChatGPT.

Dr. Inam Ullah Khan is the Founder of AI-EYS. Recently, he is working as Global Mentor/ Guest Lecturer at Impact Xcelerator, IE School of Science and Technology, Madrid, Spain and SZABIST, Islamabad, Pakistan. Previously, he was working as Visiting researcher at King’s College London, United Kingdom. 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. Apart from that his master’s thesis is published as a book on topic “Route Optimization with Ant Colony Optimization (ACO)” in Germany which is available on Amazon. He authored/coauthored more than 60 research articles in reputable journals, conferences, and book chapters. More interestingly he recently introduced a novel routing protocol E-ANTHOCNET in Drones/ Unmanned Aerial Vehicles. 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, AI, Unmanned aerial vehicles. He also served in many international conferences as technical program chair, session chair and technical program committee member. In addition, he served as editor in around 11 books on various topics. Also, he is Guest Editor, R