Zobrazeno 1 - 10
of 8 499
pro vyhledávání: '"D, Mohanty"'
Publikováno v:
All Earth, Vol 35, Iss 1, Pp 329-343 (2023)
ABSTRACTGlacial lakes in the Himalayas are increasing in size and number at an alarming rate, with the majority of lakes concentrated in the eastern and central parts of the mountain range. This research focuses on the future prediction of regional-s
Externí odkaz:
https://doaj.org/article/b4cc09524c0c4473a2e5c5d32b652a85
Autor:
Anshuman Phukan, Debasis D Mohanty
Publikováno v:
All Earth, Vol 35, Iss 1, Pp 46-64 (2023)
ABSTRACTThe North-Eastern region of India has the distinction of being one of the most seismically active and tectonically complex regions in the world. The region has periodically jolted by a number of large earthquakes. The temporal and spatial fre
Externí odkaz:
https://doaj.org/article/f3fe998ef0c54adb85491d4ae17b68d2
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-16 (2023)
Abstract There is a growing interest in using social media content for Natural Language Processing applications. However, it is not easy to computationally identify the most relevant set of tweets related to any specific event. Challenging semantics
Externí odkaz:
https://doaj.org/article/5b38de3680c54a6486904e68435f943a
Publikováno v:
Case Reports in Cardiology, Vol 2024 (2024)
Aortix™ is a novel percutaneous mechanical circulatory support device designed to facilitate diuresis in patients with cardiorenal syndrome. We describe for the first time the development of end-organ hypoperfusion from excess blood acceleration at
Externí odkaz:
https://doaj.org/article/6c7fbd9656d841ee8d04a5d42844a02d
Publikováno v:
eJHaem, Vol 4, Iss 2, Pp 428-431 (2023)
Abstract Given an increased risk of both thrombosis and bleeding, thrombotic thrombocytopenic purpura (TTP) presents a unique challenge when anticoagulation is required for comorbid disease, particularly in the setting of major bleeding events. We pr
Externí odkaz:
https://doaj.org/article/382ffb9c6d1e436eaeaf1acbcd2f52a2
Publikováno v:
Universe, Vol 10, Iss 4, p 171 (2024)
Extreme-mass-ratio inspirals (EMRIs) are significant observational targets for spaceborne gravitational wave detectors, namely, LISA, Taiji, and Tianqin, which involve the inspiral of stellar-mass compact objects into massive black holes (MBHs) with
Externí odkaz:
https://doaj.org/article/2b62557bc6894be989835cd3abd88ceb
Publikováno v:
Indian Journal of Animal Sciences, Vol 93, Iss 9 (2023)
A study was conducted to evaluate the effect of feeding concentrate to suckling lambs on their performance. Experiment comprised 40 day old suckling lambs having 1.56 kg average birth weight, with 20 female and 20 male lambs selected randomly from th
Externí odkaz:
https://doaj.org/article/9707a46a8d1e451bb0be2dea6462dec0
Publikováno v:
Universe, Vol 10, Iss 2, p 96 (2024)
Swarm intelligence (SI) methods are nature-inspired metaheuristics for global optimization that exploit a coordinated stochastic search strategy by a group of agents. Particle swarm optimization (PSO) is an established SI method that has been applied
Externí odkaz:
https://doaj.org/article/42ac34fcdfdc4d7193a6fa96c59af5ea
Publikováno v:
BioData Mining, Vol 15, Iss 1, Pp 1-23 (2022)
Abstract Background Annotating scientific literature with ontology concepts is a critical task in biology and several other domains for knowledge discovery. Ontology based annotations can power large-scale comparative analyses in a wide range of appl
Externí odkaz:
https://doaj.org/article/98706317c94d4801bff23747c41b4db2
Autor:
Evan B. Goldstein, Daniel Buscombe, Eli D. Lazarus, Somya D. Mohanty, Shah Nafis Rafique, Katherine A. Anarde, Andrew D. Ashton, Tomas Beuzen, Katherine A. Castagno, Nicholas Cohn, Matthew P. Conlin, Ashley Ellenson, Megan Gillen, Paige A. Hovenga, Jin‐Si R. Over, Rose V. Palermo, Katherine M. Ratliff, Ian R. B. Reeves, Lily H. Sanborn, Jessamin A. Straub, Luke A. Taylor, Elizabeth J. Wallace, Jonathan Warrick, Phillipe Wernette, Hannah E. Williams
Publikováno v:
Earth and Space Science, Vol 8, Iss 9, Pp n/a-n/a (2021)
Abstract Classifying images using supervised machine learning (ML) relies on labeled training data—classes or text descriptions, for example, associated with each image. Data‐driven models are only as good as the data used for training, and this
Externí odkaz:
https://doaj.org/article/6ffcb5c803fd4ffe94cf5547a5b77f7a