Zobrazeno 1 - 10
of 12 139
pro vyhledávání: '"Mathai A"'
Autor:
Mathai, Alex, Sedamaki, Kranthi, Das, Debeshee, Mathews, Noble Saji, Tamilselvam, Srikanth, Chimalakonda, Sridhar, Kumar, Atul
Machine Learning (ML) for software engineering (SE) has gained prominence due to its ability to significantly enhance the performance of various SE applications. This progress is largely attributed to the development of generalizable source code repr
Externí odkaz:
http://arxiv.org/abs/2411.14611
Autor:
Mathai, Arak M., Haubold, Hans J.
The neutrino sector of the seesaw-modified Standard Model is investigated under the anarchy principle. The anarchy principle leading to the seesaw ensemble is studied analytically with tools of random matrix theory. The probability density function i
Externí odkaz:
http://arxiv.org/abs/2411.08517
Autor:
Mathai, A. M., Haubold, H. J.
It is shown that a Mittag-Leffler density has interesting properties. The Mittag-Leffler random variable has a structural representation in terms of a positive Levy variable and the power of a gamma variable where these two variables are independentl
Externí odkaz:
http://arxiv.org/abs/2410.19104
Autor:
Mathai, Arak M., Haubold, Hans J.
Thermal Doppler broadening of spectral profiles for particle populations in the absence or presence of potential fields are described by kappa distributions. The kappa distribution provides a replacement for the Maxwell-Boltzmann distribution which c
Externí odkaz:
http://arxiv.org/abs/2407.21532
Autor:
Mathai, Alex, Huang, Chenxi, Maniatis, Petros, Nogikh, Aleksandr, Ivancic, Franjo, Yang, Junfeng, Ray, Baishakhi
Large Language Models (LLMs) are consistently improving at increasingly realistic software engineering (SE) tasks. In real-world software stacks, significant SE effort is spent developing foundational system software like the Linux kernel. Unlike app
Externí odkaz:
http://arxiv.org/abs/2407.02680
Autor:
Hou, Benjamin, Zhu, Qingqing, Mathai, Tejas Sudarshan, Jin, Qiao, Lu, Zhiyong, Summers, Ronald M.
In this paper, we introduce DRR-RATE, a large-scale synthetic chest X-ray dataset derived from the recently released CT-RATE dataset. DRR-RATE comprises of 50,188 frontal Digitally Reconstructed Radiographs (DRRs) from 21,304 unique patients. Each im
Externí odkaz:
http://arxiv.org/abs/2406.03688
Autor:
Haubold, Hans J., Mathai, Arak M.
The paper utilizes data from the SuperKamiokande solar neutrino detection experiment and analyses them by diffusion entropy analysis and standard deviation analysis. The result indicates that solar neutrinos are subject to Levy flights (anomalous dif
Externí odkaz:
http://arxiv.org/abs/2405.11057
Autor:
Mathai, Arak M., Haubold, Hans J.
The pathway model for the real scalar variable case is re-explored and its connections to fractional integrals, solutions of fractional differential equations, Tsallis statistics and superstatistics in statistical mechanics, reaction-rate probability
Externí odkaz:
http://arxiv.org/abs/2405.11050
Multi-parametric MRI (mpMRI) studies are widely available in clinical practice for the diagnosis of various diseases. As the volume of mpMRI exams increases yearly, there are concomitant inaccuracies that exist within the DICOM header fields of these
Externí odkaz:
http://arxiv.org/abs/2405.08247
Autor:
Zhuang, Yan, Mathai, Tejas Sudharshan, Mukherjee, Pritam, Khoury, Brandon, Kim, Boah, Hou, Benjamin, Rabbee, Nusrat, Suri, Abhinav, Summers, Ronald M.
Background: Segmentation of organs and structures in abdominal MRI is useful for many clinical applications, such as disease diagnosis and radiotherapy. Current approaches have focused on delineating a limited set of abdominal structures (13 types).
Externí odkaz:
http://arxiv.org/abs/2405.05944