Zobrazeno 1 - 10
of 4 707
pro vyhledávání: '"Tamboli A"'
Publikováno v:
Journal of Intelligent Systems, Vol 28, Iss 1, Pp 173-183 (2019)
Musical pitch estimation is used to recognize the musical note pitch or the fundamental frequency (F0) of an audio signal, which can be applied to a preprocessing part of many applications, such as sound separation and musical note transcription. In
Externí odkaz:
https://doaj.org/article/eab3ede618014993b3ef98ea81e1d222
Sepsis, a life-threatening condition triggered by the body's exaggerated response to infection, demands urgent intervention to prevent severe complications. Existing machine learning methods for managing sepsis struggle in offline scenarios, exhibiti
Externí odkaz:
http://arxiv.org/abs/2403.07309
This paper presents the Ensemble Nucleotide Byte-level Encoder-Decoder (ENBED) foundation model, analyzing DNA sequences at byte-level precision with an encoder-decoder Transformer architecture. ENBED uses a sub-quadratic implementation of attention
Externí odkaz:
http://arxiv.org/abs/2311.02333
Autor:
Kalisha Vali Y., Islam Imadul, Al Somaie Barrak, Al Sayyari Abdulrahman Abdullah, Gundla Rambabu, Tamboli Yasinalli
Publikováno v:
Green Processing and Synthesis, Vol 13, Iss 1, Pp 10551-4 (2024)
Externí odkaz:
https://doaj.org/article/a012aa54e3e94ac99edc59521528086b
Autor:
Suhas K. Kadam, Rohit N. Mane, Asif S. Tamboli, Akshay P. Jangam, Yeon-Sik Choo, Jae Hong Pak
Publikováno v:
PhytoKeys, Vol 248, Iss , Pp 223-236 (2024)
Lepidagathis Willd., a genus belonging to the Acanthaceae family, is primarily distributed in tropical and subtropical regions worldwide, encompassing approximately 153 species. While considerable morphological research has been conducted on Lepidaga
Externí odkaz:
https://doaj.org/article/b081f8bc88064dc1b8018b62d74c2b53
Autor:
Apoorva Abikar, Mohammad Mehaboob Subhani Mustafa, Radhika Rajiv Athalye, Namratha Nadig, Ninad Tamboli, Vinod Babu, Ramaiah Keshavamurthy, Prathibha Ranganathan
Publikováno v:
BMC Cancer, Vol 24, Iss 1, Pp 1-31 (2024)
Abstract Background The characteristics of a tumor are largely determined by its interaction with the surrounding micro-environment (TME). TME consists of both cellular and non-cellular components. Cancer-associated fibroblasts (CAFs) are a major com
Externí odkaz:
https://doaj.org/article/25591359c5fd4583b158c86083f61918
Autor:
Pal, Debabrata, More, Deeptej, Bhargav, Sai, Tamboli, Dipesh, Aggarwal, Vaneet, Banerjee, Biplab
Publikováno v:
ICCV 2023
Few-shot learning has made impressive strides in addressing the crucial challenges of recognizing unknown samples from novel classes in target query sets and managing visual shifts between domains. However, existing techniques fall short when it come
Externí odkaz:
http://arxiv.org/abs/2309.12814
Autor:
Amir R. Tamboli, Vishal D. Yadav, Sameer J. Nadaf, Vaishnavi V. Nivekar, Ketaki S. Salve, Ennus T. Tamboli, Akshay M. Nalawade
Publikováno v:
BIO Integration, Vol 5, Iss 1 (2024)
Chronic respiratory diseases impose a substantial health burden globally with increasing prevalence and mortality rates, especially in affluent nations. Recent studies underscore the escalating contribution to premature morbidity and mortality, highl
Externí odkaz:
https://doaj.org/article/1196b1e501274625ae0d3d25fad2f340
Multi-task Imitation Learning (MIL) aims to train a policy capable of performing a distribution of tasks based on multi-task expert demonstrations, which is essential for general-purpose robots. Existing MIL algorithms suffer from low data efficiency
Externí odkaz:
http://arxiv.org/abs/2305.12633
Autor:
Asif S. Tamboli, Suhas K. Kadam, Jin-Suk Youn, JiYoung Yang, Jae Hong Pak, Sang-Hun Oh, Yeon-Sik Choo
Publikováno v:
Journal of Asia-Pacific Biodiversity, Vol 17, Iss 3, Pp 457-463 (2024)
Arabis stelleri DC. and A. takesimana Nakai belong to the family Brassicaceae. Arabis stelleri is widely distributed in East Asia, and A. takesimana is a Korean endemic plant. In this study, we report the complete chloroplast genomes of both species,
Externí odkaz:
https://doaj.org/article/bb5f0063a03146d39ad1b0d0d7c4cdb8