Special Issue "Advances in Computational Intelligence and its Applications"

Submission Deadline: 06 August 2021 (closed)
Guest Editors
Dr. C Kishor Kumar Reddy, Stanley College of Engineering & Technology for Women, India.
Dr. P R Anisha, Stanley College of Engineering and Technology for Women, India.
Dr. Nhu Gia Nguyen, Dean Graduate School, Duy Tan University, Vietnam.
Dr. L V Narasimha Prasad, Institute of Aeronautical Engineering, India.


The main aim of the special issue is to concentrate on incremental growth of Intelligent Computing in day to day life. This special issue attempts to create a foster new ideas and technical insights in the design and analysis of emerging intelligent computing systems and their scientific, engineering, and commercial applications. In particular, editors would like to focus on sustaining facile solutions using machine learning, artificial intelligence, neural networks, genetic algorithms, fuzzy systems and collaborative intelligence.

Artificial Intelligence
Machine Learning
Neural Networks
Genetic Algorithms
Fuzzy Systems
Medical Imaging
Environment and Earth Sciences

Published Papers
  • Hybrid Renewable Energy Source Combined Dynamic Voltage Restorer for Power Quality Improvement
  • Abstract In this paper, the hybrid photovoltaic-thermoelectric generator (PV-TEG) combined dynamic voltage restorer (DVR) system is proposed for the power quality disturbances compensation in a single-phase distribution system. The stable and precise level of input voltage is essential for the smooth and trouble-free operation of the electrically sensitive loads which are connected at the utility side to avoid system malfunctions. In this context, the hybrid PV-TEG energy module combined DVR system is proposed in this paper. With the support of the hybrid energy module, the DVR will perform the power quality disturbances compensation effectively with needed voltage and /or power. In… More
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  • An Architecture Supporting Intelligent Mobile Healthcare Using Human-Computer Interaction HCI Principles
  • Abstract Recent advancements in the Internet of Things IoT and cloud computing have paved the way for mobile Healthcare (mHealthcare) services. A patient within the hospital is monitored by several devices. Moreover, upon leaving the hospital, the patient can be remotely monitored whether directly using body wearable sensors or using a smartphone equipped with sensors to monitor different user-health parameters. This raises potential challenges for intelligent monitoring of patient’s health. In this paper, an improved architecture for smart mHealthcare is proposed that is supported by HCI design principles. The HCI also provides the support for the User-Centric Design (UCD) for smart… More
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