Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Sukriti Verma"'
Autor:
Debojit, Basak, Shamita, Chatterjee, Jonatan, Attergrim, Mohan Raj, Sharma, Kapil Dev, Soni, Sukriti, Verma, Martin, GerdinWärnberg, Nobhojit, Roy
Publikováno v:
Injury. 54:93-99
Glasgow Coma Scale (GCS) is one of the most commonly used trauma scores and is a good predictor of outcome in traumatic brain injury (TBI) patients. There are other more complex scores with additional physiological parameters. Whether they discrimina
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbdd6929d3454b35e0775d0d78b04292
https://doi.org/10.1016/j.injury.2022.09.035
https://doi.org/10.1016/j.injury.2022.09.035
Autor:
Kapil Dev, Soni, Varun, Bansal, Harshit, Arora, Sukriti, Verma, Martin Gerdin, Wärnberg, Nobhojit, Roy
Publikováno v:
Critical Care Clinics. 38:695-706
Trauma is a leading cause of morbidity and mortality globally, with a significant burden attributable to the low- and middle-income countries (LMICs), where more than 90% of injury-related deaths occur. Road injuries contribute largely to the economi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96ce3d0224478ac7b1ff8161e55d1d67
https://doi.org/10.1016/j.ccc.2022.06.011
https://doi.org/10.1016/j.ccc.2022.06.011
Autor:
Nikaash Puri, Piyush Gupta, Anubha Kabra, Sukriti Verma, Balaji Krishnamurthy, Pinkesh Badjatiya, Ayush Chopra
Publikováno v:
ICDM
Training a classification model on a dataset where the instances of one class outnumber those of the other class is a challenging problem. Such imbalanced datasets are standard in real-world situations such as fraud detection, medical diagnosis, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57ae1eee12bac3e92103b855e5ce42bd
https://doi.org/10.1109/icdm50108.2020.00129
https://doi.org/10.1109/icdm50108.2020.00129
Autor:
Sukriti Verma, Shikhar Garg
Publikováno v:
IJCCI
With the recent surge of social media and other forums, availability of a large volume of data has rendered sentiment analysis an important area of research. Though current state-of-the-art systems have been demonstrated impressive performance, there
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b0526e7c1680a50a5c3cd6f7a91307c
https://doi.org/10.5220/0007948201310138
https://doi.org/10.5220/0007948201310138
Autor:
Vagisha Nidhi, Sukriti Verma
This paper proposes a text summarization approach for factual reports using a deep learning model. This approach consists of three phases: feature extraction, feature enhancement, and summary generation, which work together to assimilate core informa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57bd8b0526fe8daf85258f8457023e9a
http://arxiv.org/abs/1708.04439
http://arxiv.org/abs/1708.04439
Autor:
Saurabh Sachar, Sudhir Sachar, Subhash Baliyan, Sukriti Verma, Vimugdha Premi, Akhil Kumar Gupta
Publikováno v:
International Journal of Contemporary Surgery. 5:69
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc4105321557081e04b58e250983562c
https://doi.org/10.5958/2321-1024.2017.00042.3
https://doi.org/10.5958/2321-1024.2017.00042.3
Publikováno v:
International Journal of Contemporary Surgery. 4:30
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b0447eca7f018f6eaad04d143604c81
https://doi.org/10.5958/2321-1024.2016.00047.7
https://doi.org/10.5958/2321-1024.2016.00047.7