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International Journal of Advanced Trends in Engineering and Technology

(International Peer Reviewed, Refereed Research Journal)

ISO : 9001-2015 Certified Journal Impact Factor: 5.965ISSN: 2456 - 4664

WE ARE IJATET

About Us

The International Journal of Advanced Trends in Engineering and Technology is one of the leading Online International Journal for presenting novel and fundamental advances in the fields of Computing, Engineering, Information Technology and Sciences. International Journal of Advanced Trends in Engineering and Technology is a Bi-Annual, open access, peer reviewed and fully refereed international journal with minimal processing charge. We broadly cover research work on next generation cutting edge technologies and effective marketing strategies. Writing a research paper is a skill and International Journal of Advanced Trends in Engineering and Technology have the team of scientists and academicians who are dedicated to help learn and improve that skill by providing a guidance for writing high quality research papers. In depth evaluation of each research paper is a prime focus of every member of International Journal of Advanced Trends in Engineering and Technology Reviewer Panel that ensures the novelty in each research manuscript being published.

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Our Team Members

Dr. Anjay Kumar Mishra

Chief Editor

Dean, Madhesh University, Birgunj, Parsa, Madhesh Province, Nepal

Dr. A. Dinesh Kumar

Associate Editor

Research Consultant, National Crafts Council, Ministry of Industries, Government of Sri Lanka

Dr. Mbonigaba Celestin

Managing Editor

Professor, Brainae Institute of Professional Studies, Delaware, United States of America

All Articles

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THE FUTURE OF ONLINE LEARNING: INNOVATIONS, ACCESSIBILITY, AND THE DIGITAL DIVIDE

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PREDICTING CORPORATE BANKRUPTCY: HOW FORENSIC ACCOUNTING TOOLS AND PREDICTIVE MODELS CAN IDENTIFY FINANCIAL RISKS EARLY

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EFFECT OF PLYOMETRIC TRAINING AND MOBILITY EXERCISES ON SELECTED PHYSICAL AND PHYSIOLOGICAL VARIABLES AMONG MEN BASKETBALL PLAYERS

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EFFECTIVE PATTERN DISCOVERY FOR TEXT MINING USING HIDDEN PATTERN FILTER SORTING TECHNIQUES

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COMPUTING AND PREDICTING THE VEGETATION COVER USING NDVI UNDER THE CONDITIONS OF CLIMATE CHANGES, FOR THE PERIOD 2000 - 2024: A CASE STUDY, KARBALA CITY, IRAQ

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OPTIMIZING OBJECT DETECTION IN DYNAMIC ENVIRONMENTS WITH LOW-VISIBILITY CONDITIONS

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