Zobrazeno 1 - 10
of 8 884
pro vyhledávání: '"K Shrivastava"'
Publikováno v:
Indian Journal of Urology, Vol 39, Iss 1, Pp 77-78 (2023)
Externí odkaz:
https://doaj.org/article/1bba0c90e8ff47549765e6bff48afa64
Publikováno v:
Indian Journal of Urology, Vol 39, Iss 1, Pp 78-79 (2023)
Externí odkaz:
https://doaj.org/article/8074411ced204bd49989f77daba7582e
Autor:
Jena R; Department of Urology, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India., Sharma AP; Department of Urology, Postgraduate Institute of Medical Education and Research, Chandigarh, India., Madhavan K; Department of Urology, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.
Publikováno v:
Indian journal of urology : IJU : journal of the Urological Society of India [Indian J Urol] 2023 Jan-Mar; Vol. 39 (1), pp. 78-79. Date of Electronic Publication: 2022 Dec 29.
Autor:
Kumar N; Department of Urology, AIIMS, Patna, Bihar, India., Tillu ND; Department of Urology, Asian Cancer Institute, Mumbai, Maharashtra, India., Jain S; Department of Urology, Fortis Memorial Research Institute, Gurugram, Haryana, India.
Publikováno v:
Indian journal of urology : IJU : journal of the Urological Society of India [Indian J Urol] 2023 Jan-Mar; Vol. 39 (1), pp. 77-78. Date of Electronic Publication: 2022 Dec 29.
Autor:
Ajay Kushwah, P. K. Sharma, H. L. Kushwaha, Brij Bihari Sharma, A. K. Shrivastava, Ramineni Harsha Nag, Manojit Chowdhury, Gopal Carpenter, Rashmi Yadav
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Cauliflower is an important winter crop grown in India, its curds are rich in nutritional profile, containing valuable minerals and vitamins. However, cauliflower harvesting is mainly accomplished by hands, which is time-consuming and requir
Externí odkaz:
https://doaj.org/article/867a7e9be1a14c86b35ea7314c3af245
A large scale multi institutional study for radiomics driven machine learning for meningioma grading
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract This study aims to develop and evaluate radiomics-based machine learning (ML) models for predicting meningioma grades using multiparametric magnetic resonance imaging (MRI). The study utilized the BraTS-MEN dataset’s training split, includ
Externí odkaz:
https://doaj.org/article/bab94d10a9a2459ca3c944b3a05be85f
Autor:
Abhinav Singh, Akash Verma, Bhagwati Bhardwaj, Poorvi Saraf, Hansal Kumar, Nishi Jain, Digambar Kumar Waiker, T A Gajendra, Sairam Krishnamurthy, Sushant K. Shrivastava
Publikováno v:
ACS Omega, Vol 9, Iss 16, Pp 18169-18182 (2024)
Externí odkaz:
https://doaj.org/article/4cb7c77091d343cd8db351915d4e3305
Autor:
Chhangani, Anil Kumar
Publikováno v:
Current Science, 2008 May . 94(10), 1320-1320.
Externí odkaz:
https://www.jstor.org/stable/24100245
Publikováno v:
International Journal of Mathematical, Engineering and Management Sciences, Vol 8, Iss 4, Pp 755-768 (2023)
Heuristic algorithms are practical, easy to implement, and work fast to provide short-term, feasible solutions for any kind of problem within economical budgets as compared to other meta-heuristic algorithms. This paper presents a novel heuristic alg
Externí odkaz:
https://doaj.org/article/f4093da640804dca85400091ca3a2bf4
Autor:
Mugdha Trivedi, R. K. Shrivastava
Publikováno v:
Aqua, Vol 72, Iss 8, Pp 1607-1628 (2023)
Water scarcity throughout the world has led to major difficulties and complexities in managing water demands. These challenges gravitate towards the development of efficient methods for optimal reservoir operation. The present study aims to introduce
Externí odkaz:
https://doaj.org/article/c0cb4503306d409eb4b019bf6477f9cb