Prof T Venugopal
vidwan id: 279064
Professor, Department of Computer Science and Engineering
Jawaharlal Nehru Technological University Hyderabad
Expertise
- Computer Science Information Systems
Publications
Publications
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Scopus
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6
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77
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5
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ISTE
Bio
Computer Science Information Systems
Personal Details
- Male
- Professor , Jawaharlal Nehru Technological University Hyderabad
- Department of Computer Science and Engineering, Jawaharlal Nehru Technological University Hyderabad
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Mr Suniil Kumar Reddy Aaramadaka
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Co-Authors (11)
Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering and Technology
Jawaharlal Nehru Technological University Hyderabad
Chaitanya Bharathi Institute of Technology, Hyderabad
CVR College of Engineering
Institute of Aeronautical Engineering
Dr. Samuel George Institute of Engineering & Technology, George Town, Darimadugum,(Post & Village) , Markapur(M), PIN-523 316.(CC-35)
Vignana Bharathi Institute of Technology
Indira Gandhi Delhi Technical University For Women, New Delhi
Gandhi Institute of Technology and Management
Gandhi Institute of Technology and Management
Scholarly Work
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Effective Middleware Framework To Store Image Data On Multi-Cloud Systems
Power Aware Routing in Adhoc Networks
A Novel Framework for face Recognition Using Based Template Features with Relevance Feedback
Novel Algorithms in CBIR Using Discriminative Weight learning and Multi-completed Variate Gaussian Distribution on SIFT
Novel File Carving Techniques For image Files With Corrupted Headers
Efficient Image Clustering Algorithms Using Deep Representations
Two Phase Copyright Protection scheme for color images using secret sharing and Discrete wavelet transform
Content Based Image Retrieval
User Behavior Analysis using Finite state Markovion Model for next generation IPTV
Image Segmentation using Non-Parametric Mean Shift Clustering Algorithms
Enhanced Feature Reweighting techniques to improve CBIR System performance by reducing Semantic Gap
Content based Video Retrieval using Novel Binary Patterns of Key-Frames
A novel and efficient data classification algorithm using Particle Swarm Intelligence
A new framework for Brain tumor detection and classification in MRI images
Performance evaluation of multiprocessor interconnection networks
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