Guest Editors
Dr. Muhammad Hamid, University of Veterinary and Animal Sciences, Pakistan.
Dr. Adnan Ahmad, COMSATS University Islamabad, Pakistan.
Dr. Farrukh Zeshan, COMSATS University Islamabad, Pakistan.
Dr. Arshad Ahmad, Johannes Kepler University, Austria.
Dr. Riaz Ul Amin, University of Okara, Pakistan.
Dr. M. Usman Ashraf, GC Women University Sialkot, Pakistan.
Dr. Kiran Adnan, Universiti Tunku Abdul Rahman, Malaysia.
Summary
Artificial intelligence (AI) and Internet of Things (IoT) makes everyone's life easier. It mostly benefits the visually handicapped, the deaf & dumb, and old age people. It's been widely used with the IoT, making all of the job easier and allowing for the creation of smart surroundings. The IoT benefited greatly from the capacity to learn convolutional approaches of Artificial Intelligence. A new generation of IoT devices will bridge the gap between the physical and digital worlds, enhancing the quality and productivity of human life, society, and industry.
All industries, from smart homes to rocket launches, are being impacted by the potential of AI and IoT. The ability to develop intelligent systems capable of interacting with devices among themselves without the need for human intervention is the primary focus of research in this field. According to a recent survey, “IoT smart objects are expected to reach 314 billion entities deployed globally by the end of 2022,” according to the results. As an example, despite the fact that the number of connected devices already exceeds the number of humans on the planet by over 2 times, connecting systems and devices remains the top priority for the vast majority of businesses.
AI and the IoT are spearheading transformative mega-trends. The technologies, frameworks, and management paradigms associated with AI-based IoT, as well as their associated management paradigm, are already having a significant impact on many industries. The Internet of Things is further distinguished as an intelligent system by the use of Artificial Intelligence in a variety of applications such as Industrial Internet, Logistics and Supply Chain Management Systems, Health Care, Education (including online learning), Automotive Digital Technology, and Inventory Management.
• In this special issue, we will aim to provide a comprehensive exploration of the past and current frameworks for the Internet of Things, as well as how they are combined with Artificial Intelligence technologies.
• Its goal is to compile the most recent research findings in emerging artificial intelligence methods for processing and storing data generated by the Internet of Things in one place.
• It covers the applications, techniques, algorithms, platforms, and tools used in IoT and AI systems in depth.
• Enhancement of an application and service marketplace in order to foster an IoT ecosystem.
Keywords
Suggested topics include, but are not limited to the following:
• Future challenges and applications of Intelligent IOT based AI
• Artificial intelligence in expert systems
• Revolution of Industry 4.0 to Industry 5.0
• Internet of Nano Things (IoNT)
• Industrial Internet of Things (IIoT)
• Internet of Medical Things (IoMT)
• Soft computing techniques in IoT based AI systems
• Next-generation enterprise systems
• Interoperability Development Testing of IoT
• Security and privacy issues in IoT AI systems
• Autonomous systems
• Deep learning-based intelligent systems
• Expert systems
• Fuzzy systems
• Intelligent/smart IoT
• Machine learning-based intelligent systems
• Smart Agriculture using IoT
• IoT in Smart Healthcare
• IoT in Smart Robotics
• Smart Learning Management System & Technology
• IoT for Blockchain
• Artificial Intelligence in Cloud-based IoT
• Machine Learning for Internet of Things
• Fuzzy Systems for the Internet of Things
• Deep Learning for Internet of Things
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