Please use this identifier to cite or link to this item: http://dspace.aiub.edu:8080/jspui/handle/123456789/152
Title: The Design Approach of an Artificial Human Brain in Digitized Formulation based on Machine Learning and Neural Mapping
Authors: Akhtar, Zarif Bin
Rozario, Victor Stany
Keywords: Genetic Algorithm, Machine Learning, Data Mining, Neural Networks, Statistical Analysis, Predictable outcome, Human Brain System, Neural Hemisphere, Cerebrum Domains.
Issue Date: 3-Aug-2020
Publisher: IEEE
Citation: Z. B. Akhtar and V. Stany Rozario, "The Design Approach of an Artificial Human Brain in Digitized Formulation based on Machine Learning and Neural Mapping," 2020 International Conference for Emerging Technology (INCET), 2020, pp. 1-7, doi: 10.1109/INCET49848.2020.9154000.
Abstract: Since the dawn of human evolution, man has been searching and designing aspects to meet up the human needs. After the revolutionary change in Technological Advancement, everything has changed the human concept of modern devices and applications. With the buzz alternating around concepts like AI, Machine Learning, Deep Learning, IoT we are approaching the next level of an era of technology and what was once a fantasy is now actually taking place in human history. This paper is upon the research and investigation of the digitized form of the human brain which is processed and analyzed in terms of algorithms and data analysis with integrated data provided from different aspects of human cognition. Using approaches like data analysis, machine learning, neural networking and human perspective approach the formation of the digitized brain has been demonstrated with its approach, usage, and applicability.
URI: http://dspace.aiub.edu:8080/jspui/handle/123456789/152
ISBN: Electronic ISBN:978-1-7281-6221-8 CD:978-1-7281-6220-1 Print on Demand(PoD) ISBN:978-1-7281-6222-5
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