Guest Editors
Dr. Nitish Pathak, Guru Gobind Singh Indraprastha University (GGSIPU), Delhi, India.
Prof. Joel J. P. C. Rodrigues, Federal University of Piauí (UFPI), Brazil.
Dr. Kanta Prasad Sharma, Chandigarh University Mohali (Punjab) India.
Summary
Artificial Intelligence, Intelligent Computing Techniques and Deep Learning are offering practical tools for many engineering applications. Computer learning, artificial intelligence and its learning, adaptation paradigms are able to improve engineering applications. This decade is really about adding intelligence to different devices, services, etc. We have been confronted with a new IoT-The intelligence of things. It means that AI/IoT will in the near future logically and effortlessly interrelate with human experts and operators, providing them with articulate clarifications and answers, even at the edge of the network or in robotic devices and navigation. Moreover, we shall witness the exploration of IoT cooperation, navigation at highest form autonomous automation navigation, wireless sensor network and Cloud integration. In this thematic issue, we solicit the submission of high-quality original research and articles closely related to the following topics, particularly interdisciplinary submissions that bring together next generation Intelligence of Things, Artificial intelligence, Smart information processing, IoT security, AI techniques and optimization algorithms. privacy and trust researchers.
Keywords
• Intelligent Computing Systems and their Applications
• Artificial Intelligence for Engineering Applications
• Intelligent Communication Systems
• Machine Learning for Data Science
• Soft Computing for Emerging Applications
• Internet of Things
• Smart enterprise systems
• Optimization Algorithms
• Data Analytics
• Industry 4.0
Published Papers
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