Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Kaushik Nayak"'
Autor:
Priya P S, Kaushik Nayak, Abhijit Shirlal, Saikiran Pendem, Obhuli Chandran M, Anushree Goswami, Krishnaraj Chadaga, Niranjana Sampathilla, Ali Muhaimil
Publikováno v:
F1000Research, Vol 13 (2024)
Background Low back pain (LBP), the primary cause of disability, is the most common musculoskeletal disorder globally and the primary cause of disability. Magnetic resonance imaging (MRI) studies are inconclusive and less sensitive for identifying an
Externí odkaz:
https://doaj.org/article/9ccfe1c39eb6446bac8373cb87cba120
Publikováno v:
Clinical Epidemiology and Global Health, Vol 29, Iss , Pp 101760- (2024)
Background: The application of AI algorithms for the detection of the mandibular canal in Cone Beam Computed Tomography (CBCT) holds immense promise in dentistry. Aim: This review aimed to identify the semi and fully automated algorithm to localize t
Externí odkaz:
https://doaj.org/article/c422b40c3a9e495597060fe99943babd
Publikováno v:
F1000Research, Vol 13 (2024)
Background Recent innovations are making radiology more advanced for patient and patient services. Under the immense burden of radiology practice, Artificial Intelligence (AI) assists in obtaining Computed Tomography (CT) images with less scan time,
Externí odkaz:
https://doaj.org/article/b0e8dc5aaa5149f5bb865f3bbefadaf7
Publikováno v:
F1000Research, Vol 13 (2024)
Background Recent innovations are making radiology more advanced for patient and patient services. Under the immense burden of radiology practice, Artificial Intelligence (AI) assists in obtaining Computed Tomography (CT) images with less scan time,
Externí odkaz:
https://doaj.org/article/4bd90539ce3f437b8f9eeffdeca76523
Publikováno v:
F1000Research, Vol 12 (2023)
Background Radiomics posits that quantified characteristics from radiographic images reflect underlying pathophysiology. Lung cancer (LC) is one of the prevalent forms of cancer, causing mortality. Slice thickness (ST) of computed tomography (CT) ima
Externí odkaz:
https://doaj.org/article/330f8c7bbf5144fb88517befbd3eddac
Autor:
Kumar Prashant, Kaushik Nayak
Publikováno v:
IEEE Electron Device Letters. 43:1137-1140
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a8d5064f38520e3cbbf51c24a90c707
https://doi.org/10.1109/led.2022.3180083
https://doi.org/10.1109/led.2022.3180083
Publikováno v:
IEEE Transactions on Electron Devices. 69:271-277
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::885d475b4b68a5c1ee4bbbae483fb694
https://doi.org/10.1109/ted.2021.3129726
https://doi.org/10.1109/ted.2021.3129726
Publikováno v:
IEEE Electron Device Letters. 42:1878-1881
A Density Functional Theory based simulation study on cubic crystal orientation dependent transition metal contact with monolayer MoS2/WS2 in reference to exchange energy, density of states and thermodynamic entropy measurements are studied. Exchange
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2ae64449882bfd50534304652f294f9
https://doi.org/10.1109/led.2021.3121810
https://doi.org/10.1109/led.2021.3121810
Publikováno v:
IEEE Transactions on Electron Devices. 68:4723-4728
In this article, we investigate the electro-thermal (ET) performance of stacked Si gate-all-around (GAA) nanosheet FET (NSHFET) by adopting the metal (M0) source/drain (S/D) engineered contacts such as M0-wrap around the Si S/D epitaxial regions and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7b21b151183afd7d7eefbe23d069352
https://doi.org/10.1109/ted.2021.3095038
https://doi.org/10.1109/ted.2021.3095038
Autor:
Sankatali Venkateswarlu, Kaushik Nayak
Publikováno v:
IEEE Transactions on Electron Devices. 67:4493-4499
This article reports that Hetero-interfacial-thermal resistance (HITR) due to phonon scattering and weak electron–phonon coupling at hetero-interfaces, can impact stacked Si gate-all-around (GAA) nanosheet field effect transistor (NSHFET) self-heat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::450b7bbb891ed4cf5dacd0bc951efbdf
https://doi.org/10.1109/ted.2020.3017567
https://doi.org/10.1109/ted.2020.3017567