Prof. Rajeev Srivastava
Prof. Rajeev Srivastava
Professor of Computer Sc. and Engineering, IIT(BHU), Varanasi, UP, India
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Cited by
Cited by
Detection and classification of cancer from microscopic biopsy images using clinically significant and biologically interpretable features
R Kumar, R Srivastava, S Srivastava
Journal of medical engineering 2015, 2015
Machine learning techniques for sentiment analysis: A review
S Malviya, AK Tiwari, R Srivastava, V Tiwari
SAMRIDDHI: A Journal of Physical Sciences, Engineering and Technology 12 (02 …, 2020
Retinal blood vessels segmentation by using Gumbel probability distribution function based matched filter
NP Singh, R Srivastava
Computer methods and programs in biomedicine 129, 40-50, 2016
A comparative assessment of land suitability evaluation methods for agricultural land use planning at village level
D Vasu, R Srivastava, NG Patil, P Tiwary, P Chandran, SK Singh
Land use policy 79, 146-163, 2018
Two-decade journey of green human resource management research: a bibliometric analysis
PC Bahuguna, R Srivastava, S Tiwari
Benchmarking: An International Journal 30 (2), 585-602, 2023
A technique for image splicing detection using hybrid feature set
AK Jaiswal, R Srivastava
Multimedia Tools and Applications 79, 11837-11860, 2020
Hyperspectral remote sensing: opportunities, status and challenges for rapid soil assessment in India
BS Das, MC Sarathjith, P Santra, RN Sahoo, R Srivastava, A Routray, ...
Current science, 860-868, 2015
A survey of computational intelligence techniques in protein function prediction
AK Tiwari, R Srivastava
International journal of proteomics 2014, 2014
Local entropy thresholding based fast retinal vessels segmentation by modifying matched filter
NP Singh, R Kumar, R Srivastava
International Conference on Computing, Communication & Automation, 1166-1170, 2015
Multi-view human activity recognition based on silhouette and uniform rotation invariant local binary patterns
AKS Kushwaha, S Srivastava, R Srivastava
Multimedia Systems 23, 451-467, 2017
Multi-view recognition system for human activity based on multiple features for video surveillance system
R Singh, AKS Kushwaha, R Srivastava
Multimedia Tools and Applications 78, 17165-17196, 2019
Effective mammogram classification based on center symmetric-LBP features in wavelet domain using random forests
VP Singh, S Srivastava, R Srivastava
Technology and Health Care 25 (4), 709-727, 2017
Comparison of PDE based and other techniques for speckle reduction from digitally reconstructed holographic images
R Srivastava, JRP Gupta, H Parthasarthy
Optics and Lasers in Engineering 48 (5), 626-635, 2010
Restoration of Poisson noise corrupted digital images with nonlinear PDE based filters along with the choice of regularization parameter estimation
R Srivastava, S Srivastava
Pattern Recognition Letters 34 (10), 1175-1185, 2013
Deep learning-based multi-modal approach using RGB and skeleton sequences for human activity recognition
P Verma, A Sah, R Srivastava
Multimedia Systems 26 (6), 671-685, 2020
Automated digital mammogram segmentation using dispersed region growing and sliding window algorithm
A Shrivastava, A Chaudhary, D Kulshreshtha, VP Singh, R Srivastava
2017 2nd international conference on image, vision and computing (ICIVC …, 2017
Mammogram classification using selected GLCM features and random forest classifier
VP Singh, A Srivastava, D Kulshreshtha, A Chaudhary, R Srivastava
International Journal of Computer Science and Information Security (IJCSIS …, 2016
Image splicing detection using deep residual network
AK Jaiswal, R Srivastava
Proceedings of 2nd International Conference on Advanced Computing and …, 2019
Development of hyperspectral model for rapid monitoring of soil organic carbon under precision farming in the Indo-Gangetic Plains of Punjab, India
R Srivastava, D Sarkar, SS Mukhopadhayay, A Sood, M Singh, RA Nasre, ...
Journal of the Indian Society of Remote Sensing 43, 751-759, 2015
Recent evolution of modern datasets for human activity recognition: a deep survey
R Singh, A Sonawane, R Srivastava
Multimedia Systems 26 (2), 83-106, 2020
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