Guest Editors
Dr. Nitish Pathak, Guru Gobind Singh Indraprastha University (GGSIPU), India.
Dr. Shabana Urooj, Princess Nourah bint Abdulrahman University, Saudi Arabia.
Dr. Neelam Sharma, Guru Gobind Singh Indraprastha University (GGSIPU), India.
Summary
In the present era of research and technology, several emerging concepts like Fog, Edge, and Big Data Analytics can support for design and development of intelligent systems in diverse domains, e.g., Transportation, Education, Healthcare and Industry etc. Artificial Intelligence, Intelligent Computing Techniques, and Deep Learning are offering practical tools for many Sustainable healthcare applications and systems. 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.
• Intelligent Computing Systems and their Applications
• Intelligent Communication Systems
• Machine Learning for Data Science
• AIoT, IoT, AI Role, techniques, and optimization algorithms for healthcare industrial-level real life Applications
• Soft Computing for Emerging Applications
• High performance Computing systems for applications in healthcare and recommendation
• AI-driven cloud/fog-assisted Big-data intelligent analytic frameworks for healthcare sector and healthcare information technology
• Machine learning algorithms for medical imaging and pattern recognition
• Intelligent wearable and assistive robotic devices for healthcare
• AI-based health recommender systems
• Intelligent decision making systems for computer-aided diagnostic systems
• Healthcare data analytics with predictive data analytics and risk measures
• Artificial Intelligence for Engineering Applications
• Optimization Algorithms
Keywords
• Intelligent Computing Systems and their Applications
• Intelligent Communication Systems
• Machine Learning for Data Science
• AIoT, IoT, AI Role, techniques, and optimization algorithms for healthcare industrial-level real life Applications
• Soft Computing for Emerging Applications
• High performance Computing systems for applications in healthcare and recommendation
• AI-driven cloud/fog-assisted Big-data intelligent analytic frameworks for healthcare sector and healthcare information technology
• Machine learning algorithms for medical imaging and pattern recognition
• Intelligent wearable and assistive robotic devices for healthcare
• AI-based health recommender systems
• Intelligent decision making systems for computer-aided diagnostic systems
• Healthcare data analytics with predictive data analytics and risk measures
• Artificial Intelligence for Engineering Applications
• Optimization Algorithms
Published Papers
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