Zobrazeno 1 - 10
of 2 900
pro vyhledávání: '"Bhavsar P"'
Publikováno v:
Risk Management and Healthcare Policy, Vol Volume 16, Pp 1593-1610 (2023)
Poonam Trivedi,1 Priya Bhavsar,2 Pachillu Kalpana,2,3 Krupali Patel,4 Tanmoy Das,5 Sandul Yasobant,1,2,6 Deepak Saxena1,2,6 1Department of Public Health Science, Indian Institute of Public Health Gandhinagar (IIPHG), Gandhinagar, Gujarat, India; 2Cen
Externí odkaz:
https://doaj.org/article/d3ca09ce83d340b297cf9da49e038da9
Autor:
Saxena D, Trivedi P, Bhavsar P, Memon F, Thaker A, Chaudhary C, Yasobant S, Singhal D, Zodpey S
Publikováno v:
International Journal of General Medicine, Vol Volume 16, Pp 151-159 (2023)
Deepak Saxena,1,2,* Poonam Trivedi,1,* Priya Bhavsar,1,* Farjana Memon,1 Abhi Thaker,1 Chintan Chaudhary,1 Sandul Yasobant,1,2,* Deepika Singhal,3 Sanjay Zodpey4 1Department of Public Health Science, Indian Institute of Public Health
Externí odkaz:
https://doaj.org/article/3e6d328544d1406eb72464970191dd6b
Publikováno v:
Risk Management and Healthcare Policy, Vol Volume 15, Pp 2147-2154 (2022)
Deepak Saxena,1,2 Sandul Yasobant,1,2 Poonam Trivedi,1 Priya Bhavsar1 1Department of Public Health Science, Indian Institute of Public Health Gandhinagar (IIPHG), Gandhinagar, Gujarat, 382042, India; 2School of Epidemiology and Public Health, Datta M
Externí odkaz:
https://doaj.org/article/6b96be40a8c54a728d8bf66ebce89120
Autor:
Goel, Anoushkrit, Singh, Bipanjit, Joshi, Ankita, Jha, Ranjeet Ranjan, Ahuja, Chirag, Nigam, Aditya, Bhavsar, Arnav
White matter tract segmentation is crucial for studying brain structural connectivity and neurosurgical planning. However, segmentation remains challenging due to issues like class imbalance between major and minor tracts, structural similarity, subj
Externí odkaz:
http://arxiv.org/abs/2411.08187
Autor:
Joshi, Ankita, Sharma, Ashutosh, Goel, Anoushkrit, Jha, Ranjeet Ranjan, Ahuja, Chirag, Bhavsar, Arnav, Nigam, Aditya
Fiber tractography is a cornerstone of neuroimaging, enabling the detailed mapping of the brain's white matter pathways through diffusion MRI. This is crucial for understanding brain connectivity and function, making it a valuable tool in neurologica
Externí odkaz:
http://arxiv.org/abs/2411.05757
Publikováno v:
Risk Management and Healthcare Policy, Vol Volume 14, Pp 3275-3286 (2021)
Sandul Yasobant,1,2 Priya Bhavsar,1 Pachillu Kalpana,1 Farjana Memon,1 Poonam Trivedi,1 Deepak Saxena1– 3 1Department of Epidemiology, Indian Institute of Public Health Gandhinagar (IIPHG), Gandhinagar, 382042, India; 2Center for One Health Educati
Externí odkaz:
https://doaj.org/article/031e548a9e4346a99fe7a487c3dd9fdb
This study evaluates the performance of various deep learning models, specifically DenseNet, ResNet, VGGNet, and YOLOv8, for wildlife species classification on a custom dataset. The dataset comprises 575 images of 23 endangered species sourced from r
Externí odkaz:
http://arxiv.org/abs/2408.00002
Autor:
Jena, Sushovan, Pulkit, Arya, Singh, Kajal, Banerjee, Anoushka, Joshi, Sharad, Ganesh, Ananth, Singh, Dinesh, Bhavsar, Arnav
With the rapid advances in deep learning and smart manufacturing in Industry 4.0, there is an imperative for high-throughput, high-performance, and fully integrated visual inspection systems. Most anomaly detection approaches using defect detection d
Externí odkaz:
http://arxiv.org/abs/2407.02968
What makes a good Large Language Model (LLM)? That it performs well on the relevant benchmarks -- which hopefully measure, with some validity, the presence of capabilities that are also challenged in real application. But what makes the model perform
Externí odkaz:
http://arxiv.org/abs/2406.14051
In this work, we delve into the EEG classification task in the domain of visual brain decoding via two frameworks, involving two different learning paradigms. Considering the spatio-temporal nature of EEG data, one of our frameworks is based on a CNN
Externí odkaz:
http://arxiv.org/abs/2406.07153