no code implementations • 05-24 2022 • Sakshi Dua, Sethuraman Sambath Kumar, Yasser Albagory, Rajakumar Ramalingam, Ankur Dumka, Rajesh Singh, MAMOON RASHID, Anita Gehlot, Sultan S. Alshamrani, Ahmed Saeed AlGhamdi
Keywords: machine learning; Convolutional neural network; speech recognition; feature extraction; Praat; word error rate; speech signal
2 code implementations • 21 Oct 2020 • Yuting I. Li, Günther Turk, Paul B. Rohrbach, Patrick Pietzonka, Julian Kappler, Rajesh Singh, Jakub Dolezal, Timothy Ekeh, Lukas Kikuchi, Joseph D. Peterson, Hideki Kobayashi, Michael E. Cates, R. Adhikari, Robert L. Jack
Epidemiological forecasts are beset by uncertainties about the underlying epidemiological processes, and the surveillance process through which data are acquired.
Methodology Populations and Evolution
1 code implementation • 19 May 2020 • R. Adhikari, Austen Bolitho, Fernando Caballero, Michael E. Cates, Jakub Dolezal, Timothy Ekeh, Jules Guioth, Robert L. Jack, Julian Kappler, Lukas Kikuchi, Hideki Kobayashi, Yuting I. Li, Joseph D. Peterson, Patrick Pietzonka, Benjamin Remez, Paul B. Rohrbach, Rajesh Singh, Günther Turk
The PyRoss library enables fitting to epidemiological data, as available, using Bayesian parameter inference, so that competing models can be weighed by their evidence.
Populations and Evolution Physics and Society Quantitative Methods
3 code implementations • 13 Apr 2020 • Rajesh Singh, Elsen Tjhung, Michael E. Cates
The swimming of cells, far from any boundary, can arise in the absence of long-range liquid-crystalline order within the cytoplasm, but simple models of this effect are lacking.
Soft Condensed Matter Statistical Mechanics Biological Physics Fluid Dynamics
2 code implementations • 26 Mar 2020 • Rajesh Singh, R. Adhikari
The outbreak of the novel coronavirus, COVID-19, has been declared a pandemic by the WHO.
1 code implementation • 9 Mar 2020 • Alessio Caciagli, Rajesh Singh, Darshana Joshi, R. Adhikari, Erika Eiser
We report experiments that show rapid crystallization of colloids tethered to an oil-water interface in response to laser illumination.
Soft Condensed Matter Statistical Mechanics
1 code implementation • 2 Oct 2019 • Rajesh Singh, R. Adhikari
We present a modular Python library for computing many-body hydrodynamic and phoretic interactions between spherical active particles in suspension, when these are given by solutions of the Stokes and Laplace equations.
Soft Condensed Matter Statistical Mechanics Computational Physics Fluid Dynamics
4 code implementations • 10 Jul 2019 • Rajesh Singh, M. E. Cates
Suspensions of spherical active particles often show microphase separation.
Soft Condensed Matter Statistical Mechanics
1 code implementation • 12 Nov 2018 • Rajesh Singh, R. Adhikari, M. E. Cates
At the surfaces of autophoretic colloids, slip velocities arise from local chemical gradients that are many-body functions of particle configuration and activity.
Soft Condensed Matter Statistical Mechanics
1 code implementation • 27 Oct 2017 • Shashi Thutupalli, Delphine Geyer, Rajesh Singh, Ronojoy Adhikari, Howard Stone
The results of numerical simulations of motion under the action of the active forces and torques are in excellent agreement with experiments.
Soft Condensed Matter
1 code implementation • 20 Oct 2016 • Rajesh Singh, R. Adhikari
Here we show that slow viscous flow produced by polar or apolar active colloids near plane walls mediates attractive hydrodynamic forces that drive crystallization.
Soft Condensed Matter