Vimal K. Shrivastava
Orcid: 0000-0003-0647-4541
According to our database1,
Vimal K. Shrivastava
authored at least 21 papers
between 2015 and 2023.
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Bibliography
2023
Evol. Intell., June, 2023
Int. J. Medical Eng. Informatics, 2023
Improved performance on tomato pest classification via transfer learning-based deep convolutional neural network with regularisation techniques.
Int. J. Comput. Sci. Eng., 2023
2022
Diagnosis of COVID-19 based on chest X-ray images using pre-trained deep convolutional neural networks.
Intell. Decis. Technol., 2022
A novel Parametric Flatten-p Mish activation function based deep CNN model for brain tumor classification.
Comput. Biol. Medicine, 2022
2021
Tomato pest classification using deep convolutional neural network with transfer learning, fine tuning and scratch learning.
Intell. Decis. Technol., 2021
2020
Effect of pooling strategy on convolutional neural network for classification of hyperspectral remote sensing images.
IET Image Process., 2020
Swarm intelligence based clustering technique for automated lesion detection and diagnosis of psoriasis.
Comput. Biol. Chem., 2020
Appl. Artif. Intell., 2020
2019
Fast active learning for hyperspectral image classification using extreme learning machine.
IET Image Process., 2019
2018
Fisher discriminant ratio based multiview active learning for the classification of remote sensing images.
Proceedings of the 2018 4th International Conference on Recent Advances in Information Technology (RAIT), 2018
2017
A novel and robust Bayesian approach for segmentation of psoriasis lesions and its risk stratification.
Comput. Methods Programs Biomed., 2017
Stroke Risk Stratification and its Validation using Ultrasonic Echolucent Carotid Wall Plaque Morphology: A Machine Learning Paradigm.
Comput. Biol. Medicine, 2017
2016
Reliability analysis of psoriasis decision support system in principal component analysis framework.
Data Knowl. Eng., 2016
Computer-aided diagnosis of psoriasis skin images with HOS, texture and color features: A first comparative study of its kind.
Comput. Methods Programs Biomed., 2016
A new method for IVUS-based coronary artery disease risk stratification: A link between coronary & carotid ultrasound plaque burdens.
Comput. Methods Programs Biomed., 2016
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.
Comput. Methods Programs Biomed., 2016
A novel approach to multiclass psoriasis disease risk stratification: Machine learning paradigm.
Biomed. Signal Process. Control., 2016
2015
Reliable and accurate psoriasis disease classification in dermatology images using comprehensive feature space in machine learning paradigm.
Expert Syst. Appl., 2015
Exploring the color feature power for psoriasis risk stratification and classification: A data mining paradigm.
Comput. Biol. Medicine, 2015
Comput. Biol. Medicine, 2015