Zobrazeno 1 - 10
of 153
pro vyhledávání: '"Sourabh Bhattacharya"'
Publikováno v:
Industrial Psychiatry Journal, Vol 33, Iss Suppl 1, Pp S229-S232 (2024)
Disulfiram, an FDA-approved medication for treating alcohol dependence syndrome (ADS), is often used surreptitiously, resulting in severe adverse drug reactions such as disulfiram-induced psychosis (DIP). DIP presents diagnostic challenges, despite b
Externí odkaz:
https://doaj.org/article/18ed224db2924e7d97ce3f2c6e8df14b
Autor:
Luis G. Riera, Matthew E. Carroll, Zhisheng Zhang, Johnathon M. Shook, Sambuddha Ghosal, Tianshuang Gao, Arti Singh, Sourabh Bhattacharya, Baskar Ganapathysubramanian, Asheesh K. Singh, Soumik Sarkar
Publikováno v:
Plant Phenomics, Vol 2021 (2021)
Reliable seed yield estimation is an indispensable step in plant breeding programs geared towards cultivar development in major row crops. The objective of this study is to develop a machine learning (ML) approach adept at soybean (Glycine max L. (Me
Externí odkaz:
https://doaj.org/article/60cbb13aeede4c3da6caf1b35d9b3d0e
Publikováno v:
PLoS Genetics, Vol 14, Iss 2, p e1007139 (2018)
Simultaneous analysis of genetic associations with multiple phenotypes may reveal shared genetic susceptibility across traits (pleiotropy). For a locus exhibiting overall pleiotropy, it is important to identify which specific traits underlie this ass
Externí odkaz:
https://doaj.org/article/65b6a4734cb4496594c5ed1474dcd5d9
Autor:
Tianshuang Gao, Hamid Emadi, Homagni Saha, Jiaoping Zhang, Alec Lofquist, Arti Singh, Baskar Ganapathysubramanian, Soumik Sarkar, Asheesh K. Singh, Sourabh Bhattacharya
Publikováno v:
Robotics, Vol 7, Iss 4, p 61 (2018)
Phenotypic studies require large datasets for accurate inference and prediction. Collecting plant data in a farm can be very labor intensive and costly. This paper presents the design, architecture (hardware and software) and deployment of a multi-ro
Externí odkaz:
https://doaj.org/article/3d2096e79d32402bbaf783a5b5e73859
Publikováno v:
The International Journal of Logistics Management. 34:523-552
PurposeTo understand the role of the unorganized sector in the push toward a circular economy (CE), the authors consider the case of the unorganized tire retreading industry in India and examine the barriers it faces in contributing to a circular tir
Autor:
Suman Guha, Sourabh Bhattacharya
Publikováno v:
Journal of the Indian Institute of Science. 102:1189-1204
Publikováno v:
Annals of the Institute of Statistical Mathematics. 74:581-613
Although variable selection is one of the most popular areas of modern statistical research, much of its development has taken place in the classical paradigm compared to the Bayesian counterpart. Somewhat surprisingly, both the paradigms have focuss
Autor:
Moumita Das, Sourabh Bhattacharya
Publikováno v:
Spatial Statistics. 55:100751
Autor:
Joe Clanin, Sourabh Bhattacharya
Publikováno v:
2022 American Control Conference (ACC).
Publikováno v:
Statistics. 55:120-151
Mixture models are well-known for their versatility, and the Bayesian paradigm is a suitable platform for mixture analysis, particularly when the number of components is unknown. Bhattacharya (2008) introduced a mixture model based on the Dirichlet p