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Dr U.S.N. Raju

vidwan id: 154032
Male

Associate Professor, Department of Computer Science and Engineering
National Institute of Technology Warangal

Expertise

  • Computer Science Information Systems

Publications

Total Articles 48
Books 0
Proceedings 0

Publications

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Scopus

Citations 378
h-index 12

CrossRef

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Citations 290
h-index 9
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Bio

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Personal Details

  • Male
  • Associate Professor , National Institute of Technology Warangal
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Associate Professor Jul 2022 – Present
National Institute of Technology Warangal | Department of Computer Science and Engineering

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Co-Authors (9)

Harika

Harika Ala

Institute of Aeronautical Engineering

Eswara Reddy

Prof Eswara Reddy B

Jawaharlal Nehru Technological University, Anantapur

K V

Dr K V Kadambari

National Institute of Technology Warangal

Morampudi

Mr Morampudi Mahesh Kumar

BVRIT Hyderabad College of Engineering for Women

Agastyaraju

Dr Agastyaraju Nagaraja Rao

Vellore Institute of Technology, Vellore

Venkata Subba Reddy

Dr Venkata Subba Reddy P

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Scholarly Work

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Scholarly Publications

Content-based image retrieval using Group Normalized-Inception-Darknet-53

Open Access
Article

Privacy-preserving and verifiable multi-instance iris remote authentication using public auditor

Open Access
Article

Content Based Image Retrieval using Frequency Domain Features: Zigzag Scanning of DCT Coefficients

Open Access
Conference Paper
Authors: Kishor N.R.;Barman H.;Raju U.S.N.;Kanaparthi S.K.;Ala H.

Content-based image retrieval using feature-fusion of GroupNormalized-Inception-Darknet-53 features and handcraft features

Open Access
Article

Pedestrian detection based on hand-crafted features and multi-layer feature fused-resnet model

Open Access
Article

Distributed compression and decompression for big image data: LZW and Huffman coding

Open Access
Article
Authors: Netalkar R.K.;Barman H.;Subba R.;Preetam K.V.;Raju U.S.N.

An improved Faster RCNN for Pedestrian Detection

Open Access
Conference Paper
Authors: Panigrahi S.;Raju U.S.N.

Scale-invariant histogram of oriented gradients: Novel approach for Pedestrian detection in multiresolution image dataset

Open Access
Article