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Emerging Trends in Artificial Intelligence with Machine Learning and Nature Inspired Algorithms
Submission DeadlineMar. 15, 2021

Submission Guidelines: http://www.sciencepublishinggroup.com/home/submission

Lead Guest Editor
Professor Rijwan Khan
Department of Computer Science and Engineering, ABES Institute of Technology, Ghaziabad, Uttar Pradesh, India
Guest Editors
  • Santosh Kumar
    Department of Mathematics, University of Dar es Salaam, Dar es Salaam, Tanzania
  • Samar Wazir
    Department of Computer Science and Engineering, Jamia Hamdard University, New Delhi, India
  • Ankur Saxena
    Department of Artificial Intelligence and Data Science, Sankalchand Patel University, Gujrat, India
  • Pawan Kumar Sharma
    Department of Mathematics, Dronacharya Group of Institutions, Gr. Noida, India
  • Manish Mahajan
    Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, India
  • Avinash Sharma
    Department of Computer Science and Engineering, ABES Institute of Technology, Ghaziabad, India
Introduction
The objective of this special is to bring together the researchers, scientists, and scholars across the globe who have been working and are interested to learn and share their wisdom acquired in the area of artificial intelligence, machine learning and Optimization Algorithms. Artificial Intelligence is at the core of every strategic discussion that happens today in the corner office. 2016 has been the year of some startling moves in Artificial Intelligence, such as driverless cars, virtual agents, employee assistance, and chatbots, to name a few. In the years to come, we are inevitably going to experience Artificial Intelligence and robotics in our everyday life. This is an indication of the upcoming radical changes in the way we look at real-world problems. Nature Inspired Algorithms are used in finding optimal solutions. Researchers working on different Nature Inspired Algorithms like ACO, GA, PSO etc. will submit here their finding. This special session will focus on all aspects of issues that can be easily solved by using Machine learning techniques, Artificial Intelligence techniques and Optimization Algorithms.
Aims and Scope:
  1. Artificial Intelligence
  2. Machine Learning
  3. Soft Computing
  4. Optimization Algorithms
  5. Genetic Algorithms
  6. Swarm Optimization
Guidelines for Submission
Manuscripts should be formatted according to the guidelines for authors
(see: http://www.sciencepublishinggroup.com/journal/guideforauthors?journalid=542).

Please download the template to format your manuscript.

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