Zobrazeno 1 - 10
of 2 328
pro vyhledávání: '"P. Prashanthi"'
Accelerated edge devices, like Nvidia's Jetson with 1000+ CUDA cores, are increasingly used for DNN training and federated learning, rather than just for inferencing workloads. A unique feature of these compact devices is their fine-grained control o
Externí odkaz:
http://arxiv.org/abs/2407.13944
Edge devices have typically been used for DNN inferencing. The increase in the compute power of accelerated edges is leading to their use in DNN training also. As privacy becomes a concern on multi-tenant edge devices, Docker containers provide a lig
Externí odkaz:
http://arxiv.org/abs/2312.07220
Publikováno v:
MRIMS Journal of Health Sciences, Vol 12, Iss 4, Pp 286-290 (2024)
Background Digital screen use has increased across the world among all age groups. Excessive screen use can affect sleep quality and mental health among young students. Objective The objective of the study is to study the association of screen time w
Externí odkaz:
https://doaj.org/article/9040b1591c924466b3e3c9591c652b12
Publikováno v:
The Journal of Indian Prosthodontic Society, Vol 24, Iss 4, Pp 336-340 (2024)
Aim: Rehabilitation of edentulous jaws with implant-supported overdenture has achieved a comprehensive acclamation across the globe due to compromised retention and stability in conventional complete dentures. In dentistry, low-level laser therapy (L
Externí odkaz:
https://doaj.org/article/7d5e245ce2ca44dfb880fbcae113c23d
Autor:
Arya Mukkil Ashokan, Jegankumar Rajagopal, Prakash Krishnaswamy, Libina Rajendran Sheela, Prashanthi Devi Marimuthu, Dhanabalan Subbiah Pothumani
Publikováno v:
Discover Social Science and Health, Vol 4, Iss 1, Pp 1-16 (2024)
Abstract Background Social vulnerability is a multidimensional concept based on multivariate factors in domains of physical, social, economic, environmental, etc., and the subsets that constitute it. When addressed effectively, it paves the way for r
Externí odkaz:
https://doaj.org/article/ed2cdea114874026a607409fcabe5591
Autor:
Ramesh Venkatesh, Aishwarya Joshi, Sai Prashanthi Chitturi, Ayushi Choudhary, Vishma Prabhu, Snehal Bavaskar, Isha Acharya, Rubble Mangla, Rupal Kathare, Naresh Kumar Yadav, Jay Chhablani
Publikováno v:
BMC Ophthalmology, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Purpose To evaluate the baseline characteristics of fundus autofluorescence (FAF) in patients with submacular hemorrhage (SMH). Methods This retrospective study included patients diagnosed with treatment-naive, foveal-involving subretinal he
Externí odkaz:
https://doaj.org/article/bf5f1749926e4cfda689b0a836723a46
Autor:
Kwangsik Nho, Shannon L. Risacher, Liana G. Apostolova, Paula J. Bice, Jared R. Brosch, Rachael Deardorff, Kelley Faber, Martin R. Farlow, Tatiana Foroud, Sujuan Gao, Thea Rosewood, Jun Pyo Kim, Kelly Nudelman, Meichen Yu, Paul Aisen, Reisa Sperling, Basavaraj Hooli, Sergey Shcherbinin, Diana Svaldi, Clifford R. Jack, William J. Jagust, Susan Landau, Aparna Vasanthakumar, Jeffrey F. Waring, Vincent Doré, Simon M. Laws, Colin L. Masters, Tenielle Porter, Christopher C. Rowe, Victor L. Villemagne, Logan Dumitrescu, Timothy J. Hohman, Julia B. Libby, Elizabeth Mormino, Rachel F. Buckley, Keith Johnson, Hyun-Sik Yang, Ronald C. Petersen, Vijay K. Ramanan, Nilüfer Ertekin-Taner, Prashanthi Vemuri, Ann D. Cohen, Kang-Hsien Fan, M. Ilyas Kamboh, Oscar L. Lopez, David A. Bennett, Muhammad Ali, Tammie Benzinger, Carlos Cruchaga, Diana Hobbs, Philip L. De Jager, Masashi Fujita, Vaishnavi Jadhav, Bruce T. Lamb, Andy P. Tsai, Isabel Castanho, Jonathan Mill, Michael W. Weiner, for the Alzheimer’s Disease Neuroimaging Initiative (ADNI), the Department of Defense Alzheimer’s Disease Neuroimaging Initiative (DoD-ADNI), the Anti-Amyloid Treatment in Asymptomatic Alzheimer’s Study (A4 Study) and Longitudinal Evaluation of Amyloid Risk and Neurodegeneration (LEARN), the Australian Imaging, Biomarker & Lifestyle Study (AIBL), Andrew J. Saykin
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract Determining the genetic architecture of Alzheimer’s disease pathologies can enhance mechanistic understanding and inform precision medicine strategies. Here, we perform a genome-wide association study of cortical tau quantified by positron
Externí odkaz:
https://doaj.org/article/534dba93d5bf4620975ce9a0f564baf7
Autor:
Singh, Abhayjeet, Mehta, Arjun Singh, S, Ashish Khuraishi K, G, Deekshitha, Date, Gauri, Nanavati, Jai, Bandekar, Jesuraja, Basumatary, Karnalius, P, Karthika, Badiger, Sandhya, Udupa, Sathvik, Kumar, Saurabh, Savitha, Ghosh, Prasanta Kumar, V, Prashanthi, Pai, Priyanka, Nanavati, Raoul, Saxena, Rohan, Mora, Sai Praneeth Reddy, Raghavan, Srinivasa
Automatic speech recognition (ASR) performance has improved drastically in recent years, mainly enabled by self-supervised learning (SSL) based acoustic models such as wav2vec2 and large-scale multi-lingual training like Whisper. A huge challenge sti
Externí odkaz:
http://arxiv.org/abs/2307.07948
Modelling gene-gene epistatic interactions when computing genetic risk scores is not a well-explored subfield of genetics and could have potential to improve risk stratification in practice. Though applications of machine learning (ML) show promise a
Externí odkaz:
http://arxiv.org/abs/2306.09175
Autor:
Kevin A. Mazurek, Leland Barnard, Hugo Botha, Teresa Christianson, Jonathan Graff-Radford, Ronald Petersen, Prashanthi Vemuri, B. Gwen Windham, David T. Jones, Farwa Ali
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Digital quantification of gait can be used to measure aging- and disease-related decline in mobility. Gait performance also predicts prognosis, disease progression, and response to therapies. Most gait analysis systems require large amounts
Externí odkaz:
https://doaj.org/article/465e6866d8d6451c8cc4ebc456834d5a