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pro vyhledávání: '"Chaurasia AS"'
Autor:
Vaishya, Raju
Publikováno v:
Apollo Medicine; Dec2024, Vol. 21 Issue 4, p381-385, 5p
Publikováno v:
Clinical case reports [Clin Case Rep] 2024 Dec 12; Vol. 12 (12), pp. e9704. Date of Electronic Publication: 2024 Dec 12 (Print Publication: 2024).
Autor:
Chaurasia, Bina
Publikováno v:
McKinsey Quarterly. 2016 1st Quarter, Issue 1, p44-49. 6p. 1 Color Photograph.
Publikováno v:
Clinical Case Reports. Dec2024, Vol. 12 Issue 12, p1-1. 1p.
Akademický článek
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Autor:
Chaurasia, D. D.
Publikováno v:
Apollo Medicine; Dec2024, Vol. 21 Issue 4, p409-410, 2p
Autor:
Bhaskar, Arvind, Chaurasia, Yash, Das, Arijit, Kumar, Atirek, Mandal, Tanumoy, Mitra, Subhadip, Neeraj, Cyrin, Sharma, Rachit
We introduce the leptoquark (LQ) toolkit, TooLQit, which includes leading-order FeynRules models for all types of LQs and a Python-based calculator, named CaLQ, to test if a set of parameter points are allowed by the LHC dilepton searches. The models
Externí odkaz:
http://arxiv.org/abs/2412.19729
Autor:
Ali, Mohsin, Raza, Haider, Gan, John Q, Pokhojaev, Ariel, Katz, Matanel, Kosan, Esra, Wahjuningrum, Dian Agustin, Saleh, Omnina, Sarig, Rachel, Chaurasia, Akhilanada
Objectives: Age and gender estimation is crucial for various applications, including forensic investigations and anthropological studies. This research aims to develop a predictive system for age and gender estimation in living individuals, leveragin
Externí odkaz:
http://arxiv.org/abs/2411.08195
Autor:
Chaurasia, Ansh
The presiding model generation algorithms rely on simple, inflexible adapter selection to provide personalized results. We propose the model-adapter composition problem as a generalized problem to past work factoring in practical hardware and afforda
Externí odkaz:
http://arxiv.org/abs/2409.14363
Autor:
Bhardwaj, Vivek, Noonia, Ajit, Chaurasia, Sandeep, Kumar, Mukesh, Rashid, Abdulnaser, Othman, Mohamed Tahar Ben
Publikováno v:
Journal Europ\'een des Syst\`emes Automatis\'es, Vol. 57, No. 5, pp. 1523-1530 (2024)
Robotic Process Automation (RPA) has emerged as a game-changing technology in data extraction, revolutionizing the way organizations process and analyze large volumes of documents such as invoices, purchase orders, and payment advices. This study inv
Externí odkaz:
http://arxiv.org/abs/2408.14791