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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Machine Learning for Mobile Communications41 %
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Hybridization of Blockchain and Cloud Computing41 %
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Smart Computing Techniques in Industrial Iot37 %
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Metaverse for the Healthcare Industry21 %
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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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Next Generation Healthcare Informatics37 %
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Intelligent Systems41 %
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Computer Vision and Recognition Systems41 %
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Computer Vision and Recognition SystemsNR
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Rilevamento di anomalie per dati categorici6 % NR
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Deteção de anomalias para dados categóricos6 % NR
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Détection des anomalies pour les données catégorielles6 % NR
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Erkennung von Anomalien bei kategorialen Daten6 % NR
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Cognitive Computing Using Green Technologies1 % NR
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Enhancing Steganography Through Deep Learning Approaches37 % NR
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04 Nov 2024
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Enhancing Steganography Through Deep Learning Approaches37 % NR
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Investigations in Pattern Recognition and Computer Vision for Industry 4.038 % NR
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Investigations in Pattern Recognition and Computer Vision for Industry 4.038 % NR
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