Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Nihar Ranjan Nayak"'
Autor:
Arabinda Mahanty, Gopal Krishna Purohit, Sasmita Mohanty, Nihar Ranjan Nayak, Bimal Prasanna Mohanty
Publikováno v:
BMC Genomics, Vol 18, Iss 1, Pp 1-9 (2017)
Abstract Background High ambient temperature is known to affect fish gonadal development and physiology in a variety of ways depending on the severity and duration of exposure; however, the underlying molecular mechanisms are poorly understood. Gonad
Externí odkaz:
https://doaj.org/article/54d560c421a4474b984695304ce75eb8
Publikováno v:
Biomolecules, Vol 10, Iss 6, p 953 (2020)
Preeclampsia (PE) is a serious pregnancy complication, affecting about 5–7% of pregnancies worldwide and is characterized by hypertension and damage to multiple maternal organs, primarily the liver and kidneys. PE usually begins after 20 weeks’ g
Externí odkaz:
https://doaj.org/article/3b957d54d83e477ca1888de9236bab5e
Autor:
T. Veeramakali, A. Shobanadevi, Nihar Ranjan Nayak, Sumit Kumar, Sunita Singhal, Manoharan Subramanian
Publikováno v:
Computational Intelligence and Neuroscience. 2022:1-8
A key challenge in clinical recommendation systems is the problem of aberrant patient profiles in social networks. As a result of a person’s abnormal profile, numerous vests might be used to make fake remarks about them, cyber bullying, or cyber-at
Publikováno v:
International Journal of System Assurance Engineering and Management. 13:633-641
Publikováno v:
Image Based Computing for Food and Health Analytics: Requirements, Challenges, Solutions and Practices ISBN: 9783031229589
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de7531ffb733c9d7732bd5d8f2c84498
https://doi.org/10.1007/978-3-031-22959-6_11
https://doi.org/10.1007/978-3-031-22959-6_11
Publikováno v:
Artificial Intelligence for Neurological Disorders ISBN: 9780323902779
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::987a1a812f53b048b4887cba28843e35
https://doi.org/10.1016/b978-0-323-90277-9.00023-7
https://doi.org/10.1016/b978-0-323-90277-9.00023-7
Autor:
Mayowa J. Adeniyi, Charles O. Adetunji, Olorunsola Adeyomoye, Rishabh Anand, Korhan Cengiz, Ayobami Dare, Sujata Dash, Pijush Dutta, Alex Enoch, M.A. Jabbar, Maheshkumar H. Kolekar, Asok Kumar, Hima Bindu Maringanti, Minati Mishra, Ricky Mohanty, Nihar Ranjan Nayak, Olugbemi T. Olaniyan, Sagar Dhanraj Pande, Subhendu Kumar Pani, Shobhandeb Paul, Subhransu Pradhan, Syed Saba Raoof, V. Selvakumar, Neelam Sharma, K. Rupabanta Singh, Brijesh K. Soni, Mukesh Soni, Akhilesh A. Waoo
Publikováno v:
Artificial Intelligence for Neurological Disorders ISBN: 9780323902779
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b5c71897adb098855e84012249c9eea
https://doi.org/10.1016/b978-0-323-90277-9.09988-0
https://doi.org/10.1016/b978-0-323-90277-9.09988-0
Publikováno v:
Radiation Effects and Defects in Solids. 176:1160-1170
Publikováno v:
The Data-Driven Blockchain Ecosystem ISBN: 9781003269281
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30a286243ae4c159aeea7f814423d4a3
https://doi.org/10.1201/9781003269281-15
https://doi.org/10.1201/9781003269281-15
Autor:
Mukesh Soni, Nihar Ranjan Nayak, Ashima Kalra, Sheshang Degadwala, Nikhil Kumar Singh, Shweta Singh
Publikováno v:
International Journal of Pervasive Computing and Communications.
Purpose The purpose of this paper is to improve the existing paradigm of edge computing to maintain a balanced energy usage. Design/methodology/approach The new greedy algorithm is proposed to balance the energy consumption in edge computing. Finding