THE ARTIFICIAL INTELLIGENCE FOR THE COMMON LEARNERS: A COMPARATIVE LEARNING APPROACH

Authors

  • Shah Mohammad Omer Faruqe Jubaer
  • Muhammed Nyeem Hassan

DOI:

https://doi.org/10.17605/OSF.IO/VGT24

Keywords:

Intelligence,, Artificial Intelligence, Approach and Features

Abstract

Imaginative learning aims to create the capacity to deliver worldwide access is one of the foremost principal qualities of intelligent behaviour. Consequently, advance within the hypothesis and computer modelling of learning forms is of great importance to areas concerned with understanding insights. Whereas we have no proof, we suspect that most teachers type in course readings since they are aiming to educate a course for which none of the existing writings are suitable. Whether or not this is typically the case, it was certainly the reason for the book you're presently holding. So the most important purpose of this research article is to clarify the concept of commons concerning Artificial Intelligence. The point of the paper is to examine the concept of artificial intelligence (AI) to move forward and rearrange machine device control. This paper is based on the concept of manufactured intelligence, regions of manufactured insights, and the counterfeit intelligence procedures utilized within the field of Power System Stabilizers (PSS) to preserve framework steadiness and damping of swaying and give high- quality execution alongside that we look for to supply a preparatory diagram of the moral, lawful, and social suggestions confronting society in light of the developing engagement of manufactured insights.

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Published

2021-05-10

How to Cite

Shah Mohammad Omer Faruqe Jubaer, & Muhammed Nyeem Hassan. (2021). THE ARTIFICIAL INTELLIGENCE FOR THE COMMON LEARNERS: A COMPARATIVE LEARNING APPROACH. Web of Scientist: International Scientific Research Journal, 2(05), 333–3525. https://doi.org/10.17605/OSF.IO/VGT24

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Section

Articles