Zobrazeno 1 - 10
of 7 502
pro vyhledávání: '"P. Bhowmik"'
In order to study the analytic properties of the Goldbach generating function we consider a smooth version, similar to the Chebyshev function for the Prime Number Theorem. In this paper we obtain explicit numerical estimates for the average order of
Externí odkaz:
http://arxiv.org/abs/2411.00323
Ultrasonic Additive Manufacturing (UAM) employs ultrasonic welding to bond similar or dissimilar metal foils to a substrate, resulting in solid, consolidated metal components. However, certain processing conditions can lead to inter-layer defects, af
Externí odkaz:
http://arxiv.org/abs/2410.24055
The rheology of dense suspensions lacks a universal description due to the involvement of a wide variety of parameters, ranging from the physical properties of solid particles to the nature of the external deformation or applied stress. While the for
Externí odkaz:
http://arxiv.org/abs/2410.15216
Autor:
Bhowmik, Aritra, Derakhshani, Mohammad Mahdi, Koelma, Dennis, Oswald, Martin R., Asano, Yuki M., Snoek, Cees G. M.
Spatial awareness is key to enable embodied multimodal AI systems. Yet, without vast amounts of spatial supervision, current Visual Language Models (VLMs) struggle at this task. In this paper, we introduce LynX, a framework that equips pretrained VLM
Externí odkaz:
http://arxiv.org/abs/2410.10491
We developed a Python based framework for astronomical image processing and analysis. Astronomical image loading, normalizing, stacking, and filtering processes represent visible range images from grayscale. Besides, the blending process helps to ana
Externí odkaz:
http://arxiv.org/abs/2410.06573
Consider a bounded symmetric domain $\Omega$ with a finite pseudo-reflection group acting on it as a subgroup of the group of automorphisms. This gives rise to quotient domains by means of basic polynomials $\theta$ which by virtue of being proper ma
Externí odkaz:
http://arxiv.org/abs/2409.04582
Autor:
Bhowmik, Sounak, Thapliyal, Himanshu
Anomaly detection is a crucial task in cyber security. Technological advancement brings new cyber-physical threats like network intrusion, financial fraud, identity theft, and property invasion. In the rapidly changing world, with frequently emerging
Externí odkaz:
http://arxiv.org/abs/2409.00294
Autor:
Bhowmik, Sounak, Thapliyal, Himanshu
The rapid increase in the volume of data increased the size and complexity of the deep learning models. These models are now more resource-intensive and time-consuming for training than ever. This paper presents a quantum transfer learning (QTL) base
Externí odkaz:
http://arxiv.org/abs/2409.00228
Autor:
Sharma, Anshu, Bhowmik, Basuraj
Fire is a process that generates both light and heat, posing a significant threat to life and infrastructure. Buildings and structures are neither inherently susceptible to fire nor completely fire-resistant; their vulnerability largely depends on th
Externí odkaz:
http://arxiv.org/abs/2408.15756
Autor:
Datta, Suvronil, Bhowmik, Saisab, Varshney, Harsh, Watanabe, Kenji, Taniguchi, Takashi, Agarwal, Amit, Chandni, U.
Publikováno v:
Nano Letters 2024
Van Hove singularities enhance many-body interactions and induce collective states of matter ranging from superconductivity to magnetism. In magic-angle twisted bilayer graphene, van Hove singularities appear at low energies and are malleable with de
Externí odkaz:
http://arxiv.org/abs/2408.08644