Special Issue "Emerging Trends in Artificial Intelligence and Machine Learning"

Submission Deadline: 30 April 2021 (closed)
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Guest Editors
Dr. Mohammad Tabrez Quasim, University of Bisha, Saudi Arabia.
Dr. Kapal Dev, Trinity College Dublin, Ireland.
Dr. Surbhi Bhatia, King Faisal University, Saudi Arabia.
Dr. Rihem Farkh, King Saud university, Saudi Arabia.

Summary

Artificial Intelligence 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 covers topics like logic, evolutionary algorithms, neural networks, and DNA computation. These methods can be very effective in dealing with uncertainties and contextual vagueness inherent in the decisions. The computer science study is able to lift the convergence on machine learning and artificial intelligence computing. This is possible to apply machine learning and artificial intelligence for data processing and engineering applications.

This special issue will focus on the problems that can be quickly addressed by using machine learning, deep learning, AI techniques and optimization algorithms.


Keywords
• Artificial Intelligence for Engineering Application
• Machine Learning for Data Science
• Soft Computing for Emerging Applications
• Optimization Algorithms
• Genetic Algorithms
• Swarm Optimization
• Deep Learning
• Data Analytics