Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Indu Joshi"'
Publikováno v:
Applied Sciences, Vol 13, Iss 14, p 8007 (2023)
The analysis of chromosome karyotypes is crucial for diagnosing genetic disorders such as Patau syndrome, Edward syndrome, and Down syndrome. Chromosome cluster type identification is a key step in the automated analysis of chromosome karyotypes. Sta
Externí odkaz:
https://doaj.org/article/9562b016ad9246668a7afb54f7d82dd4
Publikováno v:
Neural Networks. 161:202-212
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ee86e3c635505fe13869263419237c9
https://doi.org/10.1016/j.neunet.2023.01.017
https://doi.org/10.1016/j.neunet.2023.01.017
Publikováno v:
Applied Sciences; Volume 13; Issue 14; Pages: 8007
The analysis of chromosome karyotypes is crucial for diagnosing genetic disorders such as Patau syndrome, Edward syndrome, and Down syndrome. Chromosome cluster type identification is a key step in the automated analysis of chromosome karyotypes. Sta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::3f0948be78dcd18118d533022084877e
Autor:
Indu Joshi, Ayush Utkarsh, Pravendra Singh, Antitza Dantcheva, Sumantra Dutta Roy, Prem Kumar Kalra
Publikováno v:
Multimedia Tools and Applications
Multimedia Tools and Applications, 2022, 81 (24), pp.35349-35377. ⟨10.1007/s11042-021-11863-3⟩
Multimedia Tools and Applications, 2022, 81 (24), pp.35349-35377. ⟨10.1007/s11042-021-11863-3⟩
International audience; The state-of-the-art fingerprint matching systems achieve high accuracy on good quality fingerprints. However, degraded fingerprints obtained due to poor skin conditions of subjects or fingerprints obtained around a crime scen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c314d8b379c22794eda303fe451578e
https://doi.org/10.1007/s11042-021-11863-3
https://doi.org/10.1007/s11042-021-11863-3
Publikováno v:
IEEE/ACM Transactions on Computational Biology and Bioinformatics. :1-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7732ee78c092de9c8966bea0a2b79a4e
https://doi.org/10.1109/tcbb.2022.3227202
https://doi.org/10.1109/tcbb.2022.3227202
Autor:
Amrit Kumar Agrawal, K.V. Arya, Vikas Baghel, Abul Bashar, Munish Bhardwaj, Gaurav Bhatnagar, Cai Yee Chang, Shubhojeet Chatterjee, Antitza Dantcheva, Manoj Diwakar, Srishty Dwivedi, Anna Jia Gander, Manish Gaur, Nidhi Goel, Lalita Gupta, Feiran Huang, Weichang Huang, Ankush Jain, Indu Joshi, Prem Kumar Kalra, Vineet Kansal, Nafis Uddin Khan, Riya Kothari, Pardeep Kumar, Vinod K. Kurmi, Khin Wee Lai, Zhiying Li, Wenxiao Liu, Wei Kit Loo, Zhihan Lv, Monika Mathur, P.V.S.S.R. Chandra Mouli, Surendra Nagar, Shyam Singh Rajput, Ciro R. Rodriguez, Sumantra Dutta Roy, Sima Sahu, Abhishek Singh, Amit Kumar Singh, Prabhishek Singh, Pramod Kumar Singh, Rini Smita Thakur, Anurag Singh Tomar, Ayush Utkarsh, Santosh Kumar Vishwakarma, Haoxiang Wang, Jingyi Wu, Shuxuan Xie, Dilip Kumar Yadav, Gaurav Yadav, Ram Narayan Yadav
Publikováno v:
Digital Image Enhancement and Reconstruction ISBN: 9780323983709
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44dc43ea4b847ab42913dfd7ebce1a32
https://doi.org/10.1016/b978-0-32-398370-9.00005-6
https://doi.org/10.1016/b978-0-32-398370-9.00005-6
Autor:
Indu Joshi, Ayush Utkarsh, Riya Kothari, Vinod K. Kurmi, Antitza Dantcheva, Sumantra Dutta Roy, Prem Kumar Kalra
Publikováno v:
Digital Image Enhancement and Reconstruction ISBN: 9780323983709
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18a65a2bc53fa1f9359153041d5ac738
https://doi.org/10.1016/b978-0-32-398370-9.00009-3
https://doi.org/10.1016/b978-0-32-398370-9.00009-3
Autor:
Indu Joshi, Tushar Prakash, B. S. Jaiswal, Rohit Kumar, Antitza Dantcheva, Sumantra Dutta Roy, Prem Kumar Kalra
Publikováno v:
IEEE Sensors Letters
IEEE Sensors Letters, 2022, 6 (10), pp.6003704. ⟨10.1109/LSENS.2022.3203787⟩
IEEE Sensors Letters, 2022, 6 (10), pp.6003704. ⟨10.1109/LSENS.2022.3203787⟩
International audience; The literature on fingerprint restoration algorithms firmly advocates exploiting contextual information, such as ridge orientation field, ridge spacing, and ridge frequency, to recover ridge details in fingerprint regions with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e13ded4ff0512807a0fd4abcd9aca2d4
https://hal.science/hal-03966800/file/sensorsl22_context_230112_152517.pdf
https://hal.science/hal-03966800/file/sensorsl22_context_230112_152517.pdf
Autor:
Indu Joshi, Tashvik Dhamija, Rohit Kumar, Antitza Dantcheva, Sumantra Dutta Roy, Prem Kumar Kalra
Publikováno v:
IEEE Sensors Letters
IEEE Sensors Letters, 2022, 6 (8), ⟨10.1109/LSENS.2022.3193924⟩
IEEE Sensors Letters, 2022, 6 (8), ⟨10.1109/LSENS.2022.3193924⟩
International audience; Performance of state-of-the-art fingerprint denoising model on poor quality fingerprints degrades due to crossdomain shift observed between training and testing domains. To address this limitation, we present a cross-domain co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e108b7ed5a69e7974451f685824fc617
https://hal.science/hal-03966789/document
https://hal.science/hal-03966789/document
Publikováno v:
Handbook of Digital Face Manipulation and Detection ISBN: 9783030876630
Handbook of Digital Face Manipulation and Detection : From DeepFakes to Morphing Attacks
Springer International Publishing. Handbook of Digital Face Manipulation and Detection : From DeepFakes to Morphing Attacks, 2022, Advances in Computer Vision and Pattern Recognition. ACVPR, 978-3-030-87666-1. ⟨10.1007/978-3-030-87664-7_10⟩
Handbook of Digital Face Manipulation and Detection : From DeepFakes to Morphing Attacks
Springer International Publishing. Handbook of Digital Face Manipulation and Detection : From DeepFakes to Morphing Attacks, 2022, Advances in Computer Vision and Pattern Recognition. ACVPR, 978-3-030-87666-1. ⟨10.1007/978-3-030-87664-7_10⟩
Manipulated images and videos have become increasingly realistic due to the tremendous progress of deep convolutional neural networks (CNNs). While technically intriguing, such progress raises a number of social concerns related to the advent and spr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93fa6fa093b29ecee20f6c673b213911
https://doi.org/10.1007/978-3-030-87664-7_10
https://doi.org/10.1007/978-3-030-87664-7_10