Zobrazeno 1 - 10
of 962
pro vyhledávání: '"Sihag P"'
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:
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
Autor:
Smriti Sihag, Rita Dahiya, Suman Rani, Priyanka Berwal, Anushree Jatrana, Avnish Kumar Sisodiya, Ashutosh Sharma, Vinay Kumar
Publikováno v:
Discover Nano, Vol 19, Iss 1, Pp 1-14 (2024)
Abstract The imperative development of a cutting-edge environmental gas sensor is essential to proficiently monitor and detect hazardous gases, ensuring comprehensive safety and awareness. Nanostructures developed from metal oxides are emerging as pr
Externí odkaz:
https://doaj.org/article/732aad0d9cd240808e9cd2738f8f0353
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
Autor:
Sihag, Manish, Li, Ze Shi, Dash, Amanda, Arony, Nowshin Nawar, Devathasan, Kezia, Ernst, Neil, Albu, Alexandra, Damian, Daniela
The increasing importance of videos as a medium for engagement, communication, and content creation makes them critical for organizations to consider for user feedback. However, sifting through vast amounts of video content on social media platforms
Externí odkaz:
http://arxiv.org/abs/2305.01796
Autor:
Ahmed Y. Mohammed, Parveen Sihag
Publikováno v:
Journal of Hydroinformatics, Vol 26, Iss 3, Pp 626-640 (2024)
This study uses machine learning (ML) to predict the end-depth structure's discharge and critical depth (yc). Linear regression, M5P, random forest, random tree, reduced error pruning tree, and Gaussian process (GP) are the ML methods used in this in
Externí odkaz:
https://doaj.org/article/643b2be33fde46ceb202e498e4537532
The deviation between chronological age and biological age is a well-recognized biomarker associated with cognitive decline and neurodegeneration. Age-related and pathology-driven changes to brain structure are captured by various neuroimaging modali
Externí odkaz:
http://arxiv.org/abs/2210.16363
Autor:
Nivedha Devanathan, Hirak Kumar Mukhopadhyay, Krishan Kumar Sihag, A. Terence Nathan, Aravindasamy Chakkaravarthi, Lakshmy Srinivasan, Mouttou Vivek Srinivas, Jayalakshmi Vasu, Venkatesa Perumal Shanmugam, Manju Rahi, Panneer Devaraju
Publikováno v:
One Health, Vol 18, Iss , Pp 100759- (2024)
Antimicrobial resistance (AMR) is a global public health concern and needs to be monitored for control. In this study, synanthropic rodents trapped from humans and animal habitats in Puducherry, India, were screened as sentinels for bacterial pathoge
Externí odkaz:
https://doaj.org/article/9f0a160f2491428b8114741e6ab139f0