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Dr. Swarup Kr Ghosh
Dr. Swarup Kr Ghosh
Associate Professor, CSE, Sister Nivedita University
在 snuniv.ac.in 的电子邮件经过验证
标题
引用次数
引用次数
年份
A long short-term memory based deep learning algorithm for seismic response uncertainty quantification
A Kundu, S Ghosh, S Chakraborty
Probabilistic Engineering Mechanics 67, 103189, 2022
322022
A novel intuitionistic fuzzy soft set entrenched mammogram segmentation under multigranulation approximation for breast cancer detection in early stages
SK Ghosh, A Mitra, A Ghosh
Expert Systems with Applications 169, 114329, 2021
292021
ENResNet: A novel residual neural network for chest X-ray enhancement based COVID-19 detection
SK Ghosh, A Ghosh
Biomedical Signal Processing and Control 72, 103286, 2022
242022
Recognition of cancer mediating biomarkers using rough approximations enabled intuitionistic fuzzy soft sets based similarity measure
SK Ghosh, A Ghosh, S Bhattacharyya
Applied Soft Computing 124, 109052, 2022
212022
A novel Approach of Retinal Image Enhancement using PSO System and Measure of Fuzziness
SK Ghosh, B Biswas, A Ghosh
Procedia Computer Science Journal 167, 1300-1311, 2020
212020
Chest X-ray Enhancement to Interpret Pneumonia Malformation based on Fuzzy Soft Set and Dempster-Shafer theory of Evidence
B Biswas, SK Ghosh, S Bhattacharyya, J Platos, V Snasel, A Chakrabarti
Applied Soft Computing Journal, 2019
202019
3D MRI Segmentation using U-Net Architecture for the detection of Brain Tumor
S Sangui, T Iqbal, PC Chandra, SK Ghosh, A Ghosh
Procedia Computer Science 218, 542-553, 2023
192023
VEA: vessel extraction algorithm by active contour model and a novel wavelet analyzer for diabetic retinopathy detection
SK Ghosh, A Ghosh, A Chakrabarti
International Journal of Image and Graphics 18 (02), 1850008, 2018
162018
Early fire detection and alert system using modified inception-v3 under deep learning framework
A Biswas, SK Ghosh, A Ghosh
Procedia Computer Science 218, 2243-2252, 2023
152023
SDCA: A Novel Stack Deep Convolutional Autoencoder: - An Application on Retinal Image Denoising
SK Ghosh, B Biswas, A Ghosh
IET Image Processing, 2019
152019
A novel retinal image segmentation using rSVM boosted convolutional neural network for exudates detection
SK Ghosh, A Ghosh
Biomedical Signal Processing and Control 68, 2021
142021
Classification of gene expression patterns using a novel type-2 fuzzy multigranulation-based SVM model for the recognition of cancer mediating biomarkers
SK Ghosh, A Ghosh
Neural Computing and Applications 2020, 1-19, 2020
142020
DVAE: deep variational auto-encoders for denoising retinal fundus image
B Biswas, SK Ghosh, A Ghosh
Hybrid machine intelligence for medical image analysis, 257-273, 2020
142020
A robust multi-label fruit classification based on deep convolution neural network
B Biswas, SK Ghosh, A Ghosh
Computational Intelligence in Pattern Recognition: Proceedings of CIPR 2019 …, 2020
132020
Sift-based visual tracking using optical flow and belief propagation algorithm
B Biswas, S Kr Ghosh, M Hore, A Ghosh
The Computer Journal 65 (1), 1-17, 2022
92022
Development of intuitionistic fuzzy special embedded convolutional neural network for mammography enhancement
SK Ghosh, B Biswas, A Ghosh
Computational Intelligence 2020, 1-23, 2020
82020
A Novel Clustering-Based Gene Expression Pattern Analysis for Human Diabetes Patients Using Intuitionistic Fuzzy Set and Multigranulation Rough Set Model
SK Ghosh, A Ghosh
Conference paper:- a part of Advances in Intelligent Systems and Computing …, 2020
82020
A novel stacked sparse denoising autoencoder for mammography restoration to visual interpretation of breast lesion
SK Ghosh, B Biswas, A Ghosh
Evolutionary Intelligence- Springer, https://doi.org/10.1007/s12065-019-00344, 2020
72020
Cloud Security Using Honeypot Network and Blockchain: A Review
S Sangui, SK Ghosh
Machine Learning Techniques and Analytics for Cloud Security, 213-237, 2021
62021
A novel intuitionistic fuzzy soft set based colonogram enhancement for polyps localization
SK Ghosh, A Ghosh
International Journal of Imaging Systems and Technology, 2021
62021
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