Real World Applications and Emerging Trends of Intelligent Computing Techniques

Submission Deadline: 31 March 2022 (closed)

Guest Editors

Dr. Nitish Pathak, Guru Gobind Singh Indraprastha University (GGSIPU), India.
Prof Joel J. P. C. Rodrigues, Federal University of Piauí (UFPI), Brazil.
Dr. Karan Singh, Jawaharlal Nehru University, India.
Ms. Neelam Sharma, Guru Gobind Singh Indraprastha University (GGSIPU), India.


Artificial Intelligence, Intelligent Computing Techniques and Deep Learning are offering practical tools for many engineering applications and real life 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.

Intelligent Computing Techniques are a confluence of several technology enablers such as machine learning, deep learning, computer vision, data analytics, smart image and signal processing, statistics, robotics, IoT etc. Deep Learning (DL) is an advanced class of Machine Learning (ML) that uses multi layered neural networks that are capable of analyzing the input data and making decisions much similar to the way human brain does

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.

We hope that this Special Issue helps identify promising directions and future trends for those seeking to contribute to the future of Intelligent Computing Techniques.


We seek original and high-quality submissions on, but not limited to, one or more of the following topics:


Intelligent Computing Systems and their Applications

Artificial Intelligence for Engineering Applications

Intelligent Computing Techniques for communication systems

Machine Learning for Data Science

Soft Computing for Emerging Applications

AI-driven cloud/fog-assisted wireless communications

Big-data intelligent analytic frameworks for networking data

High performance Computing systems for applications in Autonomous driving, Healthcare and recommendation

AI Role, techniques and optimization algorithms for industrial-level applications

Smart enterprise systems

Intelligent Computing Techniques for health care decision support systems

Intelligent Computing Techniques based healthcare recommendation systems

Intelligent Computing Techniques based telemedicine and healthcare

AI based pervasive and ubiquitous smart healthcare systems



• Intelligent Computing Techniques
• Internet of things in communication systems
• IoT in Wireless communications and networks
• AI based telemedicine and healthcare
• Data Analytics
• Optimization Algorithms
• Industry 4.0

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