Year : 2023
PsLSNetV2: End to End Deep Learning System for Measurement of Area Score of Psoriasis Regions in Color Images
Cite this Research Publication : Ritesh Raj, Narendra D. Londhe and Rajendra Sonawane, PsLSNetV2: End to End Deep Learning System for Measurement of Area Score of Psoriasis Regions in Color Images, Biomedical Signal Processing and Control, Volume 79, Part 2, 2023, 104138, ISSN
Publisher : Elsevier
Year : 2022
Faulty Line Localization in IEEE 30 Bus System Using CNN-LSTM
Cite this Research Publication :
Pavan K. Bais, Narendra D. Londhe, Ritesh Raj and Hira S. Sachdev, "Faulty Line Localization in IEEE 30 Bus System Using CNN-LSTM," 2022 Fourth International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT), Mandya, India, 2022, pp. 1-5, https://doi.org/10.1109/ICERECT56837.2022.10060692
Publisher : IEEE
Year : 2021
Psoriasis Lesion Detection Using Hybrid Seeker Optimization Based Image Clustering
Cite this Research Publication : Manoranjan Dash, Narendra D. Londhe, Subhojit Ghosh, Ritesh Raj and Rajendra Sonawane, Psoriasis Lesion Detection Using Hybrid Seeker Optimization Based Image Clustering, Current Medical Imaging, 17(11), 1330-1339, 2021, https://doi.org/10.2174/1573405617666210224112123
Year : 2021
Fault classification in power system distribution network integrated with distributed generators using CNN
Cite this Research Publication :
Praveen Rai, Narendra D. Londhe and Ritesh Raj, Fault classification in power system distribution network integrated with distributed generators using CNN, Electric Power Systems Research, Volume 192, 2021, 106914, ISSN 0378-7796, https://doi.org/10.1016/j.epsr.2020.106914
Year : 2021
Classification of faults in an IEEE 30 bus transmission system using fully convolutional network
Cite this Research Publication : Anurag Tikariha, Narendra D. Londhe, Baidyanath Bag and Ritesh Raj, Classification of faults in an IEEE 30 bus transmission system using fully convolutional network, International Transactions on Electrical Energy Systems, Volume 31, Issue 11, 2021, e13134, https://doi.org/10.1002/2050-7038.13134
Year : 2021
Automated psoriasis lesion segmentation from unconstrained environment using residual U-Net with transfer learning
Cite this Research Publication : Ritesh Raj, Narendra D. Londhe and Rajendra Sonawane, Automated psoriasis lesion segmentation from unconstrained environment using residual U-Net with transfer learning, Computer Methods and Programs in Biomedicine, Volume 206, 2021, 106123, ISSN 0169-2607, https://doi.org/10.1016/j.cmpb.2021.106123
Publisher : Elsevier