Zobrazeno 1 - 10
of 66 394
pro vyhledávání: '"Pavan A."'
Autor:
Pavan A. Vaswani, James F. Morley, Danna Jennings, Andrew Siderowf, Kenneth Marek, the PARS Investigators
Publikováno v:
npj Parkinson's Disease, Vol 9, Iss 1, Pp 1-6 (2023)
Abstract There is disagreement in the literature whether olfaction may show specific impairments in Parkinson Disease (PD) and if olfactory tests comprised of selected odors could be more specific for diagnosis. We sought to validate previously propo
Externí odkaz:
https://doaj.org/article/7c41107a71f2452e9155c0c557015a71
Autor:
Bhattacharyya, Arnab, Gayen, Sutanu, Meel, Kuldeep S., Myrisiotis, Dimitrios, Pavan, A., Vinodchandran, N. V.
We investigate some previously unexplored (or underexplored) computational aspects of total variation (TV) distance. First, we give a simple deterministic polynomial-time algorithm for checking equivalence between mixtures of product distributions, o
Externí odkaz:
http://arxiv.org/abs/2412.10370
Extracting from trajectory data meaningful information to understand complex systems might be non-trivial. High-dimensional analyses are typically assumed to be desirable, if not required, to prevent losing important information. However, to what ext
Externí odkaz:
http://arxiv.org/abs/2412.09412
In recent years, the challenge of 3D shape analysis within point cloud data has gathered significant attention in computer vision. Addressing the complexities of effective 3D information representation and meaningful feature extraction for classifica
Externí odkaz:
http://arxiv.org/abs/2412.03052
Autor:
Rivera, Juampablo E. Heras, Chopra, Agamdeep S., Ren, Tianyi, Oswal, Hitender, Pan, Yutong, Sordo, Zineb, Walters, Sophie, Henry, William, Mohammadi, Hooman, Olson, Riley, Rezayaraghi, Fargol, Lam, Tyson, Jaikanth, Akshay, Kancharla, Pavan, Ruzevick, Jacob, Ushizima, Daniela, Kurt, Mehmet
The integration of machine learning in magnetic resonance imaging (MRI), specifically in neuroimaging, is proving to be incredibly effective, leading to better diagnostic accuracy, accelerated image analysis, and data-driven insights, which can poten
Externí odkaz:
http://arxiv.org/abs/2411.17617
We undertake a reassessment of one of the large angular scale anomalies observed in cosmic microwave background (CMB) temperature signal referred to as Hemispherical Power Asymmetry (HPA). For the present analysis we used \texttt{sevem} cleaned CMB m
Externí odkaz:
http://arxiv.org/abs/2411.15786
Optical tweezers have revolutionized particle manipulation at the micro- and nanoscale, playing a critical role in fields such as plasmonics, biophysics, and nanotechnology. While traditional optical trapping methods primarily rely on optical forces
Externí odkaz:
http://arxiv.org/abs/2411.15512
Autor:
Mario, Sushil, Pothamsetti, Pavan Teja, Thalakottor, Louie Antony, Vishwanath, Trisha, A, Sanjay H., Ahmed, Anees, Sinno, Salvatore, Thuravakkath, Shruthi, M, Sinthuja
One of the most well-known problems in transportation and logistics is the Capacitated Vehicle Routing Problem (CVRP). It involves optimizing a set of truck routes to service a set of customers, subject to limits on truck capacity, to reduce travel c
Externí odkaz:
http://arxiv.org/abs/2412.02720
The usual approach on electrostatic wave decay process for a weak beam-plasma system considers two different wave modes interplaying, the Langmuir and ion-sound mode. In the present paper, a single mode approach is shown to be feasible for conditions
Externí odkaz:
http://arxiv.org/abs/2411.12883
Reconstructing the physical complexity of many-body dynamical systems can be challenging. Starting from the trajectories of their constitutive units (raw data), typical approaches require selecting appropriate descriptors to convert them into time-se
Externí odkaz:
http://arxiv.org/abs/2411.12570