Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Aruna Kumari Kakumani"'
Autor:
L. Padma Sree, Aruna Kumari Kakumani
Publikováno v:
International Journal of Computer Applications. 184:63-67
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40c95fb7b7ddf38be5697323291c92b7
https://doi.org/10.5120/ijca2022922430
https://doi.org/10.5120/ijca2022922430
Autor:
Aruna Kumari Kakumani, L Padma Sree
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789819906000
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7074bd781fd2a8066ac07408d8d5df9
https://doi.org/10.1007/978-981-99-0601-7_31
https://doi.org/10.1007/978-981-99-0601-7_31
Publikováno v:
IJARCCE. 11
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab87ee6241d124d3061b979ce12a3005
https://doi.org/10.17148/ijarcce.2022.111147
https://doi.org/10.17148/ijarcce.2022.111147
Autor:
Aruna Kumari Kakumani, L Padma Sree, Boggula Varun Kumar, Surineni Karthik Rao, Mithil Garrepally, M Chandrakanth
Publikováno v:
2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0277c74a89f794eea410063b8acc89ca
https://doi.org/10.1109/gcat55367.2022.9971978
https://doi.org/10.1109/gcat55367.2022.9971978
Autor:
Aruna Kumari Kakumani, L. Padma Sree, Chittimalla Sai Krishna, Greeshmitha Uppalapati, Gudimetla Santhoshi Sri Pavithra, Seshadri Harshini
Publikováno v:
2022 International Conference on Machine Learning, Computer Systems and Security (MLCSS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1bc65fedd217c470a9965c41069f4160
https://doi.org/10.1109/mlcss57186.2022.00025
https://doi.org/10.1109/mlcss57186.2022.00025
Autor:
Aruna Kumari Kakumani, Rakesh Kumar Yacharam, Venkata SatyaNarayana Karanam, Pratap Reddy Lankireddy, Vijaya Lakshmi Thirumala
Publikováno v:
TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 29:994-1014
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23a0a496dc5a77f2d9bb9636e5cee387
https://doi.org/10.3906/elk-2004-7
https://doi.org/10.3906/elk-2004-7
A Deep Learning Approach for Segmenting Time-Lapse Phase Contrast Images of NIH 3T3 Fibroblast Cells
Autor:
L. Padma Sree, Aruna Kumari Kakumani
Publikováno v:
New Trends in Computational Vision and Bio-inspired Computing ISBN: 9783030418618
Separating cells from the background in microscopy images is the critical step in image processing pipeline for the study of single cell life cycle. Live cell imaging experiments involve thousands of cells and images taken for a few days, which resul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9177be8e798743dc350069a52d9e33bb
https://doi.org/10.1007/978-3-030-41862-5_86
https://doi.org/10.1007/978-3-030-41862-5_86