International Journal of Advanced Studies in Computer Science and Engineering (IJASCSE)

International Journal of Advanced Studies in Computer Science and Engineering (IJASCSE)
ISSN : 2278 7917
All articles published in IJASCSE are open access and freely available online, immediately upon publication.

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International journal of advanced studies in Computer Science and Engineering (IJASCSE) maintains all published papers in Open Access Database which provides open access of all listed papers to universities, researchers and scholars. It is based on OAI-PMH protocols which help to index the research papers worldwide. All Issues published are dedicated to best practices on ethical matters, errors and retractions. The prevention of publication malpractice is one of the important responsibilities of the editorial board. Any kind of unethical behavior is not acceptable, and plagiarism is not tolerated in any form. Our ethic statements are based on Elsevier recommendations and COPE's Best Practice Guidelines for Journal Editors.

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IJASCSE Volume 9 Issue 02
Cognitive Inductive Prejudice For Corporal Edifice In Hominids And Contraption
Author:
Chandra Bhim Bhan Singh; NIT Kurukshetra, India
Co-Author (s) :
None
Keywords:
Cognitive science, Inductive reasoning, Graph network, Stimulus Learning Tool, Cognitive Inductive Prejudice
e-Mail:
chandrabhimbhansingh213@gmail.com
Abstract::
A strong and insightful interpretation of scientific knowledge and practice must take into consideration how human cognitive skills and constraints enable as well restrict the scientific enterprise's activities and products. While existing deep learning systems are outstanding in functions such as object classification, language processing, and gameplay but few can create or transform a complex system like a Frame Pyramid. Assume that what these systems lack is a "Cognitive Inductive Prejudice": an ability to justify inter-object relationships and make decisions about an organized description of the incident. In order to assess this premise, this paper concentrated on a work involving stapling together stacks of frames to balance a castle and quantify how well hominids are doing. Then for analyzing contraption capability, our work introduce the Significant Stimulus Learning Tool that utilizes object-and interaction-centered scene and policy representations, these apply to the task. Our results shows that these structural portrayals enable the tool to perform both hominids and contraption for more naive methods, indicating that cognitive inductive effect is a significant element in solving structured reasoning issues and building more intelligent also flexible for machines.
NPA TRACKER MOBILE APPLICATION – An Innovative Application of Computer Engineering in Economic Development of the Nation
Author:
Sai Bhageerath Y V; National Institute of Technology, Warangal .
Co-Author :
Y V S BHARADWAJ; School of Computer Science and Information Technology University of Hyderabad
Key words::
Non-Performing Asset, GDP, NPA tracker, tagging, GPS map, video and audio data upload
e-Mail:
saiyv@gmail.com
Abstract::
NPA (Non-Performing Asset) is a mounting problem which has been an agony for economies globally. The increasing NPA levels in financial institutions calls for immediate attention and earliest action as it hits the GDP levels and most importantly is a menace to the public. An NPA tracker application is a tool to check this menace. Itis a mobile cum web application which tracks the NPA customer by tagging the borrower’s location using GPS map,updates on recovery status, real time approval of requests, video and audio data upload, monitoring team performance and so on. This paper outlines on what NPA is, it’s negative impact on the country’s economic stability and how does NPA tracker help in curbing this menace. Various modules involved in the NPA tracker application, its development process, architecture and security features involved in the development of the NPA tracker application explained.
Internet of things based Image Processing using Opencv-Python and its Application in smart Building
Author :
Kalarani Senthil Kumar; St Joseph's Institute of Technology, Chennai.
Co-Author: :
None.
Keywords:
Internet of Things, OpenCV-python, smart building, Image processing
e-Mail:
subramanium@yahoo.co.in
Fracture Detection and Classification Using Machine Learning Approach
Author :
R UPADHYAY; St.Joseph's College of Engineering Chennai.
Co-author :
None.
Keywords:
Machine Learning, Classification, Crack or fracture Identification, X-ray Images.
e-Mail:
rk75316060@gmail.com
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