Venu Gopalachari, M. - Department of Information & Technology, Chaitanya Bharathi Institute of Technology

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个人简介

M. Venu Gopalachari (Member, IEEE) received the M.Tech. and Ph.D. degrees from JNTU, in 2008 and 2017, respectively. He is currently a Professor with the Department of IT, CBIT, Hyderabad, having 15 years of experience in teaching, administration, and research. He has published 35 articles in reputed journals and presented 15 at renowned international conferences. His research interests include data analytics, including big data, the IoT data, social network data, video analytics, and smart city applications. He had produced two Ph.D. scholars in his career on deep learning.

研究兴趣

论文共 37 篇作者统计合作学者相似作者

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An Opportunistic Energy-Efficient Dynamic Self-Configuration Clustering Algorithm in WSN-based IoT Networks

Sridevi Tumula,Y. Ramadevi,E. Padmalatha, G. Kiran Kumar,M. Venu Gopalachari,Laith Abualigah,Premkumar Chithaluru,Manoj Kumar

INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMSno. 1 (2024)

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An Intrusion Detection Model Based on Hybridization of S-ROA in Deep Learning Model for MANET

M. Ganesh Karthik,U. Sivaji,M. Manohar,D. Jayaram,M. Venu Gopalachari,Ramesh Vatambeti

IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF ELECTRICAL ENGINEERINGno. 2 (2024): 719-730

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Black Hole Attack Detection Using Dolphin Echo-location-based Machine Learning Model in MANET Environment

Ramesh Vatambeti,Srihari Varma Mantena,K. V. D. Kiran, Srinivasulu Chennupalli,M. Venu Gopalachari

COMPUTERS & ELECTRICAL ENGINEERING (2024)

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Intelligent Ultrasound Imaging for Enhanced Breast Cancer Diagnosis: Ensemble Transfer Learning Strategies

Kuncham Sreenivasa Rao,Panduranga Vital Terlapu,D. Jayaram,Kalidindi Kishore Raju, G. Kiran Kumar,Rambabu Pemula,M. Venu Gopalachari,S. Rakesh

IEEE ACCESS（2024）

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Student Monitoring System Using Deep Learning

D. Jayaram,S. Rakesh,M. Venu Gopalachari, Sai Prakash Reddy Gaddam, B. Swaroopa Reddy, Pavan Sai Pulluri

Cognitive science and technologypp.467-474, (2023)

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An Efficient Dimensionality Reduction Based on Adaptive-Gsm and Transformer Assisted Classification for High Dimensional Data

N. Rajender,M. Venu Gopalachari

International Journal of Information Technologyno. 1 (2023): 403-416

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A Review on Sign Language Recognition Techniques

S. Rakesh,M. Venu Gopalachari,D. Jayaram, Ishika Gupta, Krishan Kant Agarwal, Gopala Nishanth

Cognitive science and technologypp.301-309, (2023)

引用3浏览0引用

Intrusion Detection Models for IOT Networks Via Deep Learning Approaches

Bhukya Madhu,M. Venu Gopala Chari,Ramdas Vankdothu,Arun Kumar Silivery,Veerender Aerranagula

Measurement Sensors（2023）

引用2浏览0引用

Review on 3D Model Generation Through Natural Language and Image Processing

Sri Chakra Raj Pyaraka, Sri Lanka, Pranav Konanki,M. Venu Gopalachari,S. Rakesh,D. Jayaram

Cognitive science and technologypp.311-317, (2023)

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Automatic Music Genre Classification Using Deep Learning

S. Rakesh,M. Venu Gopalachari, G. Kiran Kumar

LOW RADIOACTIVITY TECHNIQUES 2022 (LRT 2022) Proceedings of the 8th International Workshop on Low Radioactivity Techniques AIP Conference Proceedings (2023)

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