Zobrazeno 1 - 10
of 3 576
pro vyhledávání: '"Mandal, P K"'
Autor:
Benincasa, Paolo, Brunello, Giacomo, Mandal, Manoj K., Mastrolia, Pierpaolo, Vazão, Francisco
Understanding the loop corrections to cosmological observables is of paramount importance for having control on the quantum consistency of a theory in an expanding universe as well as for phenomenological reasons. In the present work, we begin with a
Externí odkaz:
http://arxiv.org/abs/2408.16386
We consider the renormalization group equations within the Standard Model Effective Field Theory and compute two-loop contributions proportional to the top quark Yukawa coupling for the operator generating an effective Higgs-gluon coupling, focusing
Externí odkaz:
http://arxiv.org/abs/2408.03252
We have studied the effect of nonmagnetic Ti substitution Eu2(Ir1-xTix)2O7 with the help of electrical transport and magnetic measurement. The minor structural modification enhances the orbital overlapping and favours its electrical transport propert
Externí odkaz:
http://arxiv.org/abs/2407.05877
Autor:
Nagil, Praveen, Mandal, Sumit K.
Assistive technology for visually impaired individuals is extremely useful to make them independent of another human being in performing day-to-day chores and instill confidence in them. One of the important aspects of assistive technology is outdoor
Externí odkaz:
http://arxiv.org/abs/2406.15864
Combined experiments and computational modelling are used to increase understanding of the suitability of the Single-Edge Notch Tension (SENT) test for assessing hydrogen embrittlement susceptibility. The SENT tests were designed to provide the mode
Externí odkaz:
http://arxiv.org/abs/2404.18223
We combine welding process modelling with deformation-diffusion-fracture (embrittlement) simulations to predict failures in hydrogen transport pipelines. The focus is on the structural integrity of seam welds, as these are often the locations most su
Externí odkaz:
http://arxiv.org/abs/2401.11529
Autor:
Mandal, Paul K., Leo, Cole
Publikováno v:
IFIP International Conference on Artificial Intelligence Applications and Innovations (2024) (pp. 54-65)
With the popularization of AI solutions for image based problems, there has been a growing concern for both data privacy and acquisition. In a large number of cases, information is located on separate data silos and it can be difficult for a develope
Externí odkaz:
http://arxiv.org/abs/2401.07931
Publikováno v:
2024 7th International Conference on Signal Processing and Machine Learning (SPML) (SPML 2024)
In the modern world, the amount of visual data recorded has been rapidly increasing. In many cases, data is stored in geographically distinct locations and thus requires a large amount of time and space to consolidate. Sometimes, there are also regul
Externí odkaz:
http://arxiv.org/abs/2401.00390
Autor:
Mandal, Paul K.
Publikováno v:
Neural Comput & Applic (2024)
In the era of rapidly advancing medical technologies, the segmentation of medical data has become inevitable, necessitating the development of privacy preserving machine learning algorithms that can train on distributed data. Consolidating sensitive
Externí odkaz:
http://arxiv.org/abs/2312.10237
Autor:
Brunello, Giacomo, Chestnov, Vsevolod, Crisanti, Giulio, Frellesvig, Hjalte, Mandal, Manoj K., Mastrolia, Pierpaolo
We present a simplification of the recursive algorithm for the evaluation of intersection numbers for differential $n$-forms, by combining the advantages emerging from the choice of delta-forms as generators of relative twisted cohomology groups and
Externí odkaz:
http://arxiv.org/abs/2401.01897