Special Issue "Intelligence 4.0: Concepts and Advances in Computational Intelligence"

Submission Deadline: 25 December 2021
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Guest Editors
Dr. Prateek Agrawal, Lovely Professional University, India.
Dr. Charu Gupta, Bhagwan Parshuram Institute of Technology, GGS-Indraprastha University, India.
Dr. Deepali Virmani, Bhagwan Parshuram Institute of Technology, GGS-Indraprastha University, India.
Prof. Vishu Madaan, Lovely professional University, India.


In today's era, emerging technology uses the intelligence to perform specialized tasks from the observation it makes from the environment. The task requires intelligence of machines to reach new heights of technical and conceptual advancement Further, this advancement is incomplete without exploring the concepts and advances of Computational Intelligence (CI). Intelligence in computational systems has given rise to emerging technologies which are used for better living.


CI is an essential factor in Intelligence 4.0 which includes approaches and methods. It consists of theories, theorems, proofs, axioms, applications and comparisons of computationally motivated paradigms. It provides computational solutions to multi-domain problems and applications which deal with the datasets ranging from database to exascale, homogeneity to heterogeneity, variety to veracity.


CI gives the tools and techniques for re-living exploratory perceptions covering the complete spectrum of application and development of methods used in various expert systems. In today's era, when Exabytes of data is being generated on a daily basis, there is a great need of some intelligent methods and tools that would be robust and compatible to analyse and extract the meaningful information from them and help the users in making some fruitful and quick decisions.


The benefit of using CI tools and techniques is the elevation of real dynamic problems to automation which not only increases productivity, enhances the social and living structure of the society and people at large.


In view of these factors CI, its concepts, applications and meta-heuristics find great applications in solving real life problems. The aim of this issue is to record and disseminate the contributions from researchers, academicians and industry experts in the CI domain. The future of CI can further be extended to nature inspired computational intelligent tools and techniques for finding efficient solutions to real time problems with much ease and understanding.

Scope of the proposed special issue is as follows (not limited to):


Artificial Intelligence-based Emerging technologies

Intelligent healthcare applications

Machine learning models

Deep learning applications

Natural language processing

Soft Computing applications

Industry 4.0

Disruptive Technologies

Privacy challenges in Social networks

Social Network and Data Analytics

Recommender systems Applications in Social Networks

AI applications in smart cities

Internet of everything

Intelligent sustainable development

Explainable AI

Decentralized blockchain methods

Trust based communication

Expert systems

Machine learning, deep learning, image processing, soft computing, internet of things, natural language processing

Published Papers
  • H-infinity Controller Based Disturbance Rejection in Continuous Stirred-Tank Reactor
  • Abstract This paper offers an H-infinity (H∞) controller-based disturbance rejection along with the utilization of the water wave optimization (WWO) algorithm. H∞ controller is used to synthesize the guaranteed performance of certain applications as well as it provides maximum gain at any situation. The proposed work focuses on the conflicts of continuous stirred-tank reactor (CSTR) such as variation in temperature and product concentration. The elimination of these issues is performed with the help of the WWO algorithm along with the controller operation. In general, the algorithmic framework of WWO algorithm is simple, and easy to implement with a small-size population and… More
  •   Views:248       Downloads:75        Download PDF

  • Deep Learning-Based Skin Lesion Diagnosis Model Using Dermoscopic Images
  • Abstract In recent years, intelligent automation in the healthcare sector becomes more familiar due to the integration of artificial intelligence (AI) techniques. Intelligent healthcare systems assist in making better decisions, which further enable the patient to provide improved medical services. At the same time, skin lesion is a deadly disease that affects people of all age groups. Skin lesion segmentation and classification play a vital part in the earlier and precise skin cancer diagnosis by intelligent systems. However, the automated diagnosis of skin lesions in dermoscopic images is challenging because of the problems such as artifacts (hair, gel bubble, ruler marker),… More
  •   Views:189       Downloads:61        Download PDF

  • Fault-Tolerant Communication Induced Checkpointing and Recovery Protocol Using IoT
  • Abstract In mobile computing systems, nodes in the network take checkpoints to survive failures. Certain characteristics of mobile computing systems such as mobility, low bandwidth, disconnection, low power consumption, and limited memory make these systems more prone to failures. In this paper, a novel minimum process communication-induced checkpointing algorithm that makes full use of the computation ability and implementation of effective stable storage in a mobile computing system is proposed. The said approach initiates by taking spontaneous checkpoints by each node in phase 1 using a logistic function that is specifically used to estimate the time interval between two checkpoints and… More
  •   Views:172       Downloads:102        Download PDF