Zobrazeno 1 - 10
of 774
pro vyhledávání: '"Das Arijit"'
Autor:
Dhal Bhabani Sankar, Dutta Anupam, Das Arijit, Borpatragohain Dhrubajyoti, Sharma Adity, Kashyap Arnav
Publikováno v:
The Journal of Haemophilia Practice, Vol 10, Iss 1, Pp 11-19 (2023)
Despite the availability of factor replacement therapy, including prophylaxis, to treat and prevent bleeding, haemophilic arthropathy continues to be the most common complication of haemophilia and significantly impairs the quality of life in people
Externí odkaz:
https://doaj.org/article/b383485d4699412eb69a1cb895ff673f
Publikováno v:
The Journal of Haemophilia Practice, Vol 9, Iss 1, Pp 79-84 (2022)
Haemophilia is an inherited X-linked bleeding disorder characterised by a deficiency or absence of clotting factor VIII (haemophilia A) or IX (haemophilia B), which can cause musculoskeletal bleeding. The standard treatment for haemophilia is with fa
Externí odkaz:
https://doaj.org/article/8537a72753cb4d34a2dcd13ff31e93ee
Autor:
Das, Arijit
Training LLMs presents significant memory challenges due to growing size of data, weights, and optimizer states. Techniques such as data and model parallelism, gradient checkpointing, and offloading strategies address this issue but are often infeasi
Externí odkaz:
http://arxiv.org/abs/2410.16029
Autor:
Koivu, Emily, Kushan, John, Silva, Makana, Vasquez, Gabriel, Das, Arijit, Hirata, Christopher M
Primordial black holes (PBHs) are theorized objects that may make up some - or all - of the dark matter in the universe. At the lowest allowed masses, Hawking radiation (in the form of photons or electrons and positrons) is the primary tool to search
Externí odkaz:
http://arxiv.org/abs/2408.17423
Autor:
Vasquez, Gabriel, Kushan, John, Silva, Makana, Koivu, Emily, Das, Arijit, Hirata, Christopher M.
Hawking radiation sets stringent constraints on Primordial Black Holes (PBHs) as a dark matter candidate in the $M \sim 10^{16} \ \mathrm{g}$ regime based on the evaporation products such as photons, electrons, and positrons. This motivates the need
Externí odkaz:
http://arxiv.org/abs/2407.09724
The domain of online learning has experienced multifaceted expansion owing to its prevalence in real-life applications. Nonetheless, this progression operates under the assumption that the input feature space of the streaming data remains constant. I
Externí odkaz:
http://arxiv.org/abs/2404.04903
In today's digital world, cyberbullying is a serious problem that can harm the mental and physical health of people who use social media. This paper explains just how serious cyberbullying is and how it really affects indi-viduals exposed to it. It a
Externí odkaz:
http://arxiv.org/abs/2404.03686
Autor:
Das, Arijit, Nandi, Tanmoy, Saha, Prasanta, Das, Suman, Mukherjee, Saronyo, Naskar, Sudip Kumar, Saha, Diganta
Financial market like the price of stock, share, gold, oil, mutual funds are affected by the news and posts on social media. In this work deep learning based models are proposed to predict the trend of financial market based on NLP analysis of the tw
Externí odkaz:
http://arxiv.org/abs/2403.12161
Hate speech is harmful content that directly attacks or promotes hatred against members of groups or individuals based on actual or perceived aspects of identity, such as racism, religion, or sexual orientation. This can affect social life on social
Externí odkaz:
http://arxiv.org/abs/2401.11021
The scalar-leptoquark (sLQ) parameter space is well explored experimentally. The direct pair production searches at the LHC have excluded light sLQs almost model agnostically, and the high-$p_{\rm T}$ dilepton tail data have put strong bounds on the
Externí odkaz:
http://arxiv.org/abs/2312.09855