Zobrazeno 1 - 10
of 1 028
pro vyhledávání: '"P. Sihag"'
Unmanned Aerial Vehicles autonomously perform tasks with the use of state-of-the-art control algorithms. These control algorithms rely on the freshness and correctness of sensor readings. Incorrect control actions lead to catastrophic destabilization
Externí odkaz:
http://arxiv.org/abs/2410.11131
Publikováno v:
Water Supply, Vol 21, Iss 2, Pp 606-614 (2021)
Hydraulic parameters of the soil play a considerable role in the hydrological cycle, irrigation planning, drainage, groundwater recharge, and water resources management. One of the most important hydraulic parameters of the soil is sorptivity (S), ye
Externí odkaz:
https://doaj.org/article/d4ff6bc97d7540b990c373c664008f49
Brain age is the estimate of biological age derived from neuroimaging datasets using machine learning algorithms. Increasing brain age with respect to chronological age can reflect increased vulnerability to neurodegeneration and cognitive decline. I
Externí odkaz:
http://arxiv.org/abs/2402.07684
Neural tangent kernels (NTKs) provide a theoretical regime to analyze the learning and generalization behavior of over-parametrized neural networks. For a supervised learning task, the association between the eigenvectors of the NTK kernel and given
Externí odkaz:
http://arxiv.org/abs/2310.10791
Autor:
Elizabeth G. Dunne, MD, Cameron N. Fick, MD, Brooke Mastrogiacomo, MS, Kay See Tan, PhD, Nicolas Toumbacaris, MSPH, Stijn Vanstraelen, MD, Gaetano Rocco, MD, Jaime E. Chaft, MD, Puneeth Iyengar, MD, Daniel Gomez, MD, Prasad S. Adusumilli, MD, Bernard J. Park, MD, James M. Isbell, MD, Matthew J. Bott, MD, Smita Sihag, MD, Daniela Molena, MD, James Huang, MD, David R. Jones, MD
Publikováno v:
JTCVS Open, Vol 22, Iss , Pp 458-469 (2024)
Objective: To identify clinicopathologic and genomic features associated with brain metastasis after resection of lung adenocarcinoma (LUAD) and to evaluate survival after brain metastasis. Methods: Patients who underwent complete resection of stage
Externí odkaz:
https://doaj.org/article/961526eb3ced4302968ec1fe330a4c85
Autor:
Leah E. Cahill, Sharon I. Kirkpatrick, Catherine L. Mah, Jennifer LP. Protudjer, Cynthia Kendell, Mary E. Jung, Helen Wong, Ellen T. Crumley, Meghan Day, Karen T. Y. Tang, Yan Huang, Jyoti Sihag, Laura Brady, Karthik K Tennankore, Navdeep Tangri, Rebecca C. Mollard, Dylan MacKay
Publikováno v:
International Journal of Behavioral Nutrition and Physical Activity, Vol 21, Iss 1, Pp 1-11 (2024)
Abstract Background Public health nutrition recommendations and clinical dietary interventions emphasize eating healthy food at home, implicitly requiring household foodwork. Household foodwork is defined as the physical and mental tasks a household
Externí odkaz:
https://doaj.org/article/3d4911ebb1024e8ca086c99a05c85b10
Autor:
Balraj Singh, Alireza Sepahvand, Parveen Sihag, Karan Singh, Chander Prabha, Anindya Nag, Md. Mehedi Hassan, S. Vimal, Dongwann Kang
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract The Water Quality Index (WQI) is widely used as a classification indicator and essential parameter for water resources management projects. WQI combines several physical and chemical parameters into a single metric to measure the status of W
Externí odkaz:
https://doaj.org/article/60c11220ef69423ead9967a977e40944
Autor:
Li, Ze Shi, Arony, Nowshin Nawar, Devathasan, Kezia, Sihag, Manish, Ernst, Neil, Damian, Daniela
User feedback has grown in importance for organizations to improve software products. Prior studies focused primarily on feedback collection and reported a high-level overview of the processes, often overlooking how practitioners reason about, and ac
Externí odkaz:
http://arxiv.org/abs/2309.07345
In computational neuroscience, there has been an increased interest in developing machine learning algorithms that leverage brain imaging data to provide estimates of "brain age" for an individual. Importantly, the discordance between brain age and c
Externí odkaz:
http://arxiv.org/abs/2305.18370
Graph convolutional networks (GCN) leverage topology-driven graph convolutional operations to combine information across the graph for inference tasks. In our recent work, we have studied GCNs with covariance matrices as graphs in the form of coVaria
Externí odkaz:
http://arxiv.org/abs/2305.01807