Zobrazeno 1 - 10
of 7 052
pro vyhledávání: '"A Bhansali"'
Large language models (LLMs) are essential in natural language processing (NLP) but are costly in data collection, pre-training, fine-tuning, and inference. Task-specific small language models (SLMs) offer a cheaper alternative but lack robustness an
Externí odkaz:
http://arxiv.org/abs/2410.18287
Publikováno v:
Endocrine Connections, Vol 7, Iss 2, Pp 364-371 (2018)
Objective: To study the clinical profile and the management of patients with disorders of sex development (DSD). Design and setting: Retrospective study from a tertiary care hospital of North India. Methods and patients: One hundred ninety-four pat
Externí odkaz:
https://doaj.org/article/c9c975a3fdca4145893f50feb19419ea
Publikováno v:
International Journal of Pervasive Computing and Communications, 2022, Vol. 20, Issue 4, pp. 564-577.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJPCC-02-2022-0042
In learning-to-rank (LTR), optimizing only the relevance (or the expected ranking utility) can cause representational harm to certain categories of items. Moreover, if there is implicit bias in the relevance scores, LTR models may fail to optimize fo
Externí odkaz:
http://arxiv.org/abs/2308.13242
Autor:
M Deepa, A Bhansali, R M Anjana, R Pradeepa, S R Joshi, P P Joshi, V K Dhandhania, P V Rao, R Subashini, R Unnikrishnan, D K Shukla, S V Madhu, A K Das, V Mohan, T Kaur
Publikováno v:
Indian Journal of Endocrinology and Metabolism, Vol 18, Iss 3, Pp 379-385 (2014)
Background: Representative data on knowledge and awareness about diabetes is scarce in India and is extremely important to plan public health policies aimed at preventing and controlling diabetes. Aim: The aim of the following study is to assess awar
Externí odkaz:
https://doaj.org/article/aad878c72a5943ecbda4ad82af6fe6e6
Autor:
P Dutta, S Das, A Bhansali, S K Bhadada, B V Rajesh, K S Reddy, K Vaiphei, K K Mukherjee, A Pathak, V N Shah
Publikováno v:
Indian Journal of Endocrinology and Metabolism, Vol 16, Iss 6, Pp 987-990 (2012)
Background: Though cardiac involvement is common in acromegaly, overt congestive heart failure is uncommon. Materials and Methods: This is retrospective analysis of hospital record between 1996 and 2007. We analyzed records of 150 consecutive patient
Externí odkaz:
https://doaj.org/article/8c337854db344d3d9e2a5e7ec9a83c2c
Publikováno v:
International Journal of Pervasive Computing and Communications, 2022, Vol. 20, Issue 2, pp. 228-239.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJPCC-02-2022-0041
Publikováno v:
Annals of Pediatric Cardiology, Vol 17, Iss 1, Pp 28-35 (2024)
Background: Echocardiographic quantification of left ventricular (LV) volume and ejection fraction (EF) is widely used in the pediatric population. However, there is no consensus on the most accurate method of quantifying ventricular volumes and syst
Externí odkaz:
https://doaj.org/article/d49356a375b64066a400805003a3756f
Publikováno v:
Journal of Clinical Ophthalmology and Research, Vol 12, Iss 3, Pp 340-341 (2024)
Externí odkaz:
https://doaj.org/article/938290d6bf2049a5a1247ad56457ffaf
Publikováno v:
Frontiers in Epidemiology, Vol 4 (2024)
During the COVID-19 pandemic, several forecasting models were released to predict the spread of the virus along variables vital for public health policymaking. Of these, the susceptible–infected–recovered (SIR) compartmental model was the most co
Externí odkaz:
https://doaj.org/article/25fe26629fed4b1298956d42eda93375