Zobrazeno 1 - 10
of 25 521
pro vyhledávání: '"Abhijeet"'
An efficient system of a queue control and regulation in public spaces is very important in order to avoid the traffic jams and to improve the customer satisfaction. This article offers a detailed road map based on a merger of intelligent systems and
Externí odkaz:
http://arxiv.org/abs/2410.16012
Autor:
Pathrudkar, Shashank, Taylor, Stephanie, Keripale, Abhishek, Gangan, Abhijeet Sadashiv, Thiagarajan, Ponkrshnan, Agarwal, Shivang, Marian, Jaime, Ghosh, Susanta, Banerjee, Amartya S.
We propose machine learning (ML) models to predict the electron density -- the fundamental unknown of a material's ground state -- across the composition space of concentrated alloys. From this, other physical properties can be inferred, enabling acc
Externí odkaz:
http://arxiv.org/abs/2410.08294
Autor:
Boorman, Peter G., Stern, Daniel, Assef, Roberto J., Borkar, Abhijeet, Brightman, Murray, Buchner, Johannes, Chen, Chien-Ting, Earnshaw, Hannah P., Harrison, Fiona A., Matzeu, Gabriele A., Pfeifle, Ryan W., Ricci, Claudio, Svoboda, Jiří, Torres-Albà, Núria, Zaw, Ingyin
Recent models suggest approximately half of all accreting supermassive black holes (SMBHs; $M_{\rm BH}$ $\gtrsim$ 10$^{5}$ M$_{\odot}$) are expected to undergo intense growth phases behind Compton-thick ($N_{\rm H}$ $>$ 1.5 $\times$ 10$^{24}$ cm$^{-2
Externí odkaz:
http://arxiv.org/abs/2410.07342
Autor:
Alase, Abhijeet, Karuvade, Salini
Quantum algorithms for estimating the eigenvalues of matrices, including the phase estimation algorithm, serve as core subroutines in a wide range of quantum algorithms, including those in quantum chemistry and quantum machine learning. In standard q
Externí odkaz:
http://arxiv.org/abs/2410.04837
Autor:
Patil, Abhijeet, Jain, Garima, Diwakar, Harsh, Sawant, Jay, Bameta, Tripti, Rane, Swapnil, Sethi, Amit
We developed a software pipeline for quality control (QC) of histopathology whole slide images (WSIs) that segments various regions, such as blurs of different levels, tissue regions, tissue folds, and pen marks. Given the necessity and increasing av
Externí odkaz:
http://arxiv.org/abs/2410.03289
Autor:
Patil, Abhijeet, Diwakar, Harsh, Sawant, Jay, Kurian, Nikhil Cherian, Yadav, Subhash, Rane, Swapnil, Bameta, Tripti, Sethi, Amit
Publikováno v:
Journal of Pathology Informatics, 2023
Histopathology whole slide images (WSIs) are being widely used to develop deep learning-based diagnostic solutions, especially for precision oncology. Most of these diagnostic softwares are vulnerable to biases and impurities in the training and test
Externí odkaz:
http://arxiv.org/abs/2409.19587
Autor:
Gangan, Abhijeet S., Schoenholz, Samuel S., Cubuk, Ekin Dogus, Bauchy, Mathieu, Krishnan, N. M. Anoop
The accuracy of atomistic simulations depends on the precision of force fields. Traditional numerical methods often struggle to optimize the empirical force field parameters for reproducing target properties. Recent approaches rely on training these
Externí odkaz:
http://arxiv.org/abs/2409.13844
A very pressing question in contemporary physics is the identity of Dark Matter (DM), and one that has not been answered affirmatively to any degree so far. Primordial Black Holes (PBHs) are one of the most well-motivated DM candidates. Light enough
Externí odkaz:
http://arxiv.org/abs/2409.10617
Autor:
Arya, Anuraag, Bilkhu, Harmanjeet Singh, Vishwakarma, Sandeep, Belatikar, Hrishikesh, Bhalerao, Varun, Ghodgaonkar, Abhijeet, Koyande, Jayprakash G., Marathe, Aditi, Mithun, N. P. S., Narang, Sanjoli, Nimbalkar, Sudhanshu, Page, Pranav, Palit, Sourav, Patel, Arpit, Shetye, Amit, Tallur, Siddharth, Tendulkar, Shriharsh, Vadawale, Santosh, Waratkar, Gaurav
Hard X-ray photons with energies in the range of hundreds of keV typically undergo Compton scattering when they are incident on a detector. In this process, an incident photon deposits a fraction of its energy at the point of incidence and continues
Externí odkaz:
http://arxiv.org/abs/2409.08822
Autor:
Capellán-Martín, Daniel, Jiang, Zhifan, Parida, Abhijeet, Liu, Xinyang, Lam, Van, Nisar, Hareem, Tapp, Austin, Elsharkawi, Sarah, Ledesma-Carbayo, Maria J., Anwar, Syed Muhammad, Linguraru, Marius George
Segmenting brain tumors in multi-parametric magnetic resonance imaging enables performing quantitative analysis in support of clinical trials and personalized patient care. This analysis provides the potential to impact clinical decision-making proce
Externí odkaz:
http://arxiv.org/abs/2409.08232