Chiranji Lal Chowdhary

Chiranji Lal ChowdharyChiranji Lal Chowdhary received his Ph.D. in information technology and engineering from VIT; his M.Tech. in computer science and engineering from MSRIT, VTU, Belagavi; and his B.E. in computer science and engineering from MBMEC, JNVU India. He is curently working as an Associate Professor in the SITE, VIT. He has 15 years of experience in academia and 6 months of experience in the industry. He has received research awards for publishing research papers in refereed journals from VIT 5 times consecutively. He has guided more than 20 graduate projects and more than 20 postgraduate level projects. His publications are indexed by the Clarivate Analytics, IEEE, SCOPUS, ACM, and other abstract and citation databases. He is a reviewer for many reputed journals. He is a life member of CSI, ISCA, and ISCA. He has published many papers in refereed journals and has attended international conferences. He has contributed many chapters and is currently in the process of editing books. He has written 3 books and edited 3 books with a reputed publisher. His current research included digital image processing, deep learning, pattern recognition, soft computing, and biometric systems. Read More Read Less

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The Metaverse for the Healthcare Industry37 % NR
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Machine Learning for Mobile Communications48 %
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Computer Vision and Recognition Systems30 %
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Cognitive Computing Using Green Technologies29 %
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Smart Computing Techniques in Industrial IoT37 %
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The Metaverse for the Healthcare Industry37 %
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Hybridization of Blockchain and Cloud Computing48 %
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Innovative Supply Chain Management via Digitalization and Artificial Intelligence37 %
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Next Generation Healthcare Informatics37 %
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Innovative Supply Chain Management via Digitalization and Artificial Intelligence37 %
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Computer Vision and Recognition Systems48 %
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10 Mar 2022
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Next Generation Healthcare Informatics37 %
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Cognitive Computing Using Green Technologies48 %
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27 Apr 2021
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Intelligent Systems48 %
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Intelligent Systems30 %
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27 Dec 2019
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Détection des anomalies pour les données catégorielles13 % NR
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18 Sep 2024
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Enhancing Steganography Through Deep Learning Approaches3 % NR
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31 Jul 2024
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Rilevamento di anomalie per dati categorici13 % NR
Publisher: Edizioni Sapienza
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18 Sep 2024
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Erkennung von Anomalien bei kategorialen Daten13 % NR
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Deteção de anomalias para dados categóricos13 % NR
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