Zobrazeno 1 - 10
of 177
pro vyhledávání: '"Shailesh, Tripathi"'
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
Regenerative AI is transforming breast cancer diagnosis and treatment through enhanced imaging analysis, personalized medicine, drug discovery, and remote patient monitoring. AI algorithms can detect subtle patterns in mammograms and other imaging mo
Externí odkaz:
https://doaj.org/article/6ad4552a125b4658827f266e27921833
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-68 (2024)
Abstract The United Nations’ 17 Sustainable Development Goals stress the importance of global and local efforts to address inequalities and implement sustainability. Addressing complex, interconnected sustainability challenges requires a systematic
Externí odkaz:
https://doaj.org/article/89ba84640577420b9e03f7f86829a466
Publikováno v:
IEEE Access, Vol 12, Pp 153253-153272 (2024)
Scientific machine learning and physics-informed neural networks are novel conceptual approaches that integrate scientific knowledge with methods from data science and deep learning. This emerging field has garnered increasing interest due to its uni
Externí odkaz:
https://doaj.org/article/acba6d585ea54063b0297c2db3bbeb15
Autor:
Richa Jaswal, Shailesh Tripathi, Dhananjay Singh, Nand Lal Gupta, Hoshiar Singh Chauhan, Suchpreet Kaur, Shireen Sharma, Sudip Bhattacharya
Publikováno v:
Journal of Family Medicine and Primary Care, Vol 12, Iss 9, Pp 1837-1842 (2023)
Background: In modern times, metabolic disorders are most common and one of them is polycystic ovarian syndrome (PCOS) in women, which causes high morbidity and complications. PCOS has largely been a neglected and less researched area; however, it is
Externí odkaz:
https://doaj.org/article/61fee1e4abb94229a8bc67ddf7508cf6
Publikováno v:
Applied Sciences, Vol 14, Iss 8, p 3454 (2024)
This study investigates data-driven business model innovation (DDBMI) for incumbent manufacturers, underscoring its importance in various strategic and managerial contexts. Employing topic modeling, the study identifies nine key topics of DDBMI. Thro
Externí odkaz:
https://doaj.org/article/fb0dabe6e14743d49cdc11449c7cf49f
Publikováno v:
IEEE Access, Vol 11, Pp 69649-69666 (2023)
Currently, studies involving a digital twin are gaining widespread interest. While the first fields adopting such a concept were in manufacturing and engineering, lately, interest extends also beyond these fields across all academic disciplines. Give
Externí odkaz:
https://doaj.org/article/616dc3946af34064bac5ba43d4f0b030
Publikováno v:
Journal of Family Medicine and Primary Care, Vol 12, Iss 2, Pp 397-399 (2023)
“Health for All” will never be attained if sociocultural bias and pervasive hypocrisy are not eliminated. The patient mentioned in this case study had difficulty gaining access to health care for more than two decades. The seizure history was mod
Externí odkaz:
https://doaj.org/article/d9a79d24a084440babdc17975019e94f
Autor:
Thippeswamy Danakumara, Tapan Kumar, Neeraj Kumar, Basavanagouda Siddanagouda Patil, Chellapilla Bharadwaj, Umashankar Patel, Nilesh Joshi, Shayla Bindra, Shailesh Tripathi, Rajeev Kumar Varshney, Sushil Kumar Chaturvedi
Publikováno v:
Plants, Vol 12, Iss 21, p 3691 (2023)
Identifying a congenially targeted production environment and understanding the effects of genotype by environmental interactions on the adaption of chickpea genotypes is essential for achieving an optimal yield stability. Different models like addit
Externí odkaz:
https://doaj.org/article/80cf806ce35d4b9ca63e3715fb8040b0
Publikováno v:
Logistics, Vol 7, Iss 4, p 70 (2023)
Background: By examining the recent advancements in technology, particularly the transformation of material into digital flows and its impact on customer demands, the aim of this paper is to investigate supply chain management (SCM) by analyzing seve
Externí odkaz:
https://doaj.org/article/fdacd6f7c58841a1bf4bf41004ee527f
Publikováno v:
Frontiers in Public Health, Vol 10 (2023)
Externí odkaz:
https://doaj.org/article/a35f925274a742e5bb25220874b28155