Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Utsab Saha"'
Publikováno v:
Heliyon, Vol 10, Iss 18, Pp e37823- (2024)
This article proposes a proximal policy optimization (PPO)-based reinforcement learning (RL) approach for DC-DC boost converter control that is compared with traditional control methods. The performance of the PPO algorithm is evaluated using MATLAB
Externí odkaz:
https://doaj.org/article/b581854b7f3f44edabe08193900a6963
Publikováno v:
IEEE Access, Vol 12, Pp 95857-95870 (2024)
The identification and restoration of ancient watermarks have long been a major topic in codicology and history. Classifying historical documents based on watermarks is challenging due to their diversity, noisy samples, multiple representation modes,
Externí odkaz:
https://doaj.org/article/ab6cfedc264e464baab320fef3846a0f
Publikováno v:
2022 IEEE Region 10 Symposium (TENSYMP).
Autor:
Asher Moody-Davis, Daniel Asarnow, Rahul Singh, Utsab Saha, Brian M. Suzuki, Michelle R. Arkin, Hyokyeong Lee, Steven Chen, Conor R. Caffrey
Publikováno v:
BMC Genomics
Lee, Hyokyeong; Moody-Davis, Asher; Saha, Utsab; Suzuki, Brian M; Asarnow, Daniel; Chen, Steven; et al.(2012). Quantification and clustering of phenotypic screening data using time-series analysis for chemotherapy of schistosomiasis. BMC Genomics, 13(Suppl 1), S4. doi: http://dx.doi.org/10.1186/1471-2164-13-S1-S4. Retrieved from: http://www.escholarship.org/uc/item/8cq851pm
Lee, Hyokyeong; Moody-Davis, Asher; Saha, Utsab; Suzuki, Brian M; Asarnow, Daniel; Chen, Steven; et al.(2012). Quantification and clustering of phenotypic screening data using time-series analysis for chemotherapy of schistosomiasis. BMC Genomics, 13(Suppl 1), S4. doi: http://dx.doi.org/10.1186/1471-2164-13-S1-S4. Retrieved from: http://www.escholarship.org/uc/item/8cq851pm
Background Neglected tropical diseases, especially those caused by helminths, constitute some of the most common infections of the world's poorest people. Development of techniques for automated, high-throughput drug screening against these diseases,
Autor:
Rahul Singh, Utsab Saha
Publikováno v:
Advances in Visual Computing ISBN: 9783642331909
ISVC (2)
ISVC (2)
This paper proposes a method for vision-based automated tracking of schistosomula, the etiological agent of schistosomiasis, a disease which affects over 200 million people worldwide. The proposed tracking system is intended to facilitate high-throug
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6db749659b742b26852c4d1aeb448cf9
https://doi.org/10.1007/978-3-642-33191-6_11
https://doi.org/10.1007/978-3-642-33191-6_11