V. K. Shrivastava

发表

Deep Convolutional Neural Network-Based Knee Injury Classification Using Magnetic Resonance Imaging

R. Pandey, S. Mitra, A. Prajapati, 2021 .

CORRIGENDUM to “RICE PLANT DISEASE CLASSIFICATION USING TRANSFER LEARNING OF DEEP CONVOLUTION NEURAL NETWORK”

M. K. Pradhan, V. K. Shrivastava, S. Minz, 2019 .

Diagnosis of COVID-19 based on chest X-ray images using pre-trained deep convolutional neural networks

M. K. Pradhan, V. K. Shrivastava, 2022, Intell. Decis. Technol..

A novel Parametric Flatten-p Mish activation function based deep CNN model for brain tumor classification

V. K. Shrivastava, Ayan Mondal, 2022, Comput. Biol. Medicine.

Transfer Learning-Based Framework for Classification of Pest in Tomato Plants

Vimal K. Shrivastava, Gayatri Pattnaik, K. Parvathi, 2020, Appl. Artif. Intell..

Tomato pest classification using deep convolutional neural network with transfer learning, fine tuning and scratch learning

Vimal K. Shrivastava, Gayatri Pattnaik, K. Parvathi, 2021, Intell. Decis. Technol..

PCA-based polling strategy in machine learning framework for coronary artery disease risk assessment in intravascular ultrasound: A link between carotid and coronary grayscale plaque morphology

Tadashi Araki, Andrew Nicolaides, Sumit K. Banchhor, 2016, Comput. Methods Programs Biomed..

A new method for IVUS-based coronary artery disease risk stratification: A link between coronary & carotid ultrasound plaque burdens

Jasjit S. Suri, Luca Saba, Andrew Nicolaides, 2016, Comput. Methods Programs Biomed..

Fast active learning for hyperspectral image classification using extreme learning machine

Sonajharia Minz, Vimal K. Shrivastava, Monoj K. Pradhan, 2019, IET Image Process..

Rice plant disease classification using color features: a machine learning paradigm

M. K. Pradhan, V. K. Shrivastava, 2020, Journal of Plant Pathology.

First review on psoriasis severity risk stratification: An engineering perspective

Jasjit S. Suri, Narendra D. Londhe, Vimal K. Shrivastava, 2015, Comput. Biol. Medicine.

RICE PLANT DISEASE CLASSIFICATION USING TRANSFER LEARNING OF DEEP CONVOLUTION NEURAL NETWORK

Sonajharia Minz, Vimal K. Shrivastava, Monoj K. Pradhan, 2019, ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

Application of Pre-Trained Deep Convolutional Neural Networks for Rice Plant Disease Classification

M. K. Pradhan, V. K. Shrivastava, M. P. Thakur, 2021, 2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS).

Stroke Risk Stratification and its Validation using Ultrasonic Echolucent Carotid Wall Plaque Morphology: A Machine Learning Paradigm

Ayman El-Baz, Jasjit S. Suri, Luca Saba, 2017, Comput. Biol. Medicine.

A novel and robust Bayesian approach for segmentation of psoriasis lesions and its risk stratification

Jasjit S. Suri, Narendra D. Londhe, Vimal K. Shrivastava, 2017, Comput. Methods Programs Biomed..

Analysis of various optimizers on deep convolutional neural network model in the application of hyperspectral remote sensing image classification

Vimal K. Shrivastava, Somenath Bera, V. K. Shrivastava, 2019, International Journal of Remote Sensing.

Computer-aided diagnosis of psoriasis skin images with HOS, texture and color features: A first comparative study of its kind

Jasjit S. Suri, Narendra D. Londhe, Vimal K. Shrivastava, 2016, Comput. Methods Programs Biomed..

Reliable and accurate psoriasis disease classification in dermatology images using comprehensive feature space in machine learning paradigm

Jasjit S. Suri, Narendra D. Londhe, Vimal K. Shrivastava, 2015, Expert Syst. Appl..

A Kernel-Based Extreme Learning Machine Framework for Classification of Hyperspectral Images Using Active Learning

Sonajharia Minz, Vimal K. Shrivastava, Monoj K. Pradhan, 2019, Journal of the Indian Society of Remote Sensing.

Reliability analysis of psoriasis decision support system in principal component analysis framework

Jasjit S. Suri, Narendra D. Londhe, Vimal K. Shrivastava, 2016, Data Knowl. Eng..

A novel approach to multiclass psoriasis disease risk stratification: Machine learning paradigm

Jasjit S. Suri, Narendra D. Londhe, Vimal K. Shrivastava, 2016, Biomed. Signal Process. Control..

Exploring the color feature power for psoriasis risk stratification and classification: A data mining paradigm

Jasjit S. Suri, Narendra D. Londhe, Vimal K. Shrivastava, 2015, Comput. Biol. Medicine.

Effect of pooling strategy on convolutional neural network for classification of hyperspectral remote sensing images

Vimal K. Shrivastava, Somenath Bera, V. K. Shrivastava, 2020, IET Image Process..

Fisher discriminant ratio based multiview active learning for the classification of remote sensing images

Sonajharia Minz, Vimal K. Shrivastava, Monoj K. Pradhan, 2018, 2018 4th International Conference on Recent Advances in Information Technology (RAIT).

Swarm intelligence based clustering technique for automated lesion detection and diagnosis of psoriasis

Subhojit Ghosh, Rajendra S. Sonawane, Manoranjan Dash, 2020, Comput. Biol. Chem..

Diagnosis of COVID-19 using chest X-ray images based on modified DarkCovidNet model

V. K. Shrivastava, T. K. Sharma, Om Prakash Verma, 2022, Evolutionary Intelligence.

Comparative performance analysis of different classifiers on diagnosis of erythmato-squamous diseases

Vimal K. Shrivastava, Gorrepati Nikitha Raj, Uppala Naga Raju, 2017, 2017 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS).

RICE PLANT DISEASE CLASSIFICATION USING TRANSFER LEARNING OF DEEP CONVOLUTION NEURAL NETWORK

M. K. Pradhan, V. K. Shrivastava, S. Minz, 2019, ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

A novel and robust Bayesian approach for segmentation of psoriasis lesions and its risk stratification

Rajendra S. Sonawane, V. K. Shrivastava, J. Suri, 2017, Comput. Methods Programs Biomed..

PCA-based polling strategy in machine learning framework for coronary artery disease risk assessment in intravascular ultrasound: A link between carotid and coronary grayscale plaque morphology

V. K. Shrivastava, J. Suri, L. Saba, 2016, Comput. Methods Programs Biomed..