Zobrazeno 1 - 10
of 9 789
pro vyhledávání: '"A. Ishfaq"'
Publikováno v:
Advances in Oral and Maxillofacial Surgery, Vol 10, Iss , Pp 100406- (2023)
Salivary gland tumors makes up 3–4% of all head and neck cancers, mucoepidermoid carcinoma is a malignant locally recurrent variant of salivary gland carcinoma. .In this short communication we are presenting a rare entity of mandible “intramedull
Externí odkaz:
https://doaj.org/article/b787240ad5524863ae438d90a5910417
Autor:
Gholami, Hosein, Rather, Ishfaq Ahmad, Hofmann, Marco, Buballa, Michael, Schaffner-Bielich, Jürgen
We determine parameters of the renormalization group-consistent (RG-consistent) three-flavor color-superconducting Nambu-Jona-Lasinio (NJL) model that are suited to investigate possible compact-star configurations. Our goal is to provide viable quark
Externí odkaz:
http://arxiv.org/abs/2411.04064
The MS-GLMB filter offers a robust framework for tracking multiple objects through the use of multi-sensor data. Building on this, the MV-GLMB and MV-GLMB-AB filters enhance the MS-GLMB capabilities by employing cameras for 3D multi-sensor multi-obje
Externí odkaz:
http://arxiv.org/abs/2410.14977
The groundbreaking performance of transformers in Natural Language Processing (NLP) tasks has led to their replacement of traditional Convolutional Neural Networks (CNNs), owing to the efficiency and accuracy achieved through the self-attention mecha
Externí odkaz:
http://arxiv.org/abs/2408.05952
Hidden vortices and Feynman rule in Bose-Einstein condensates with density-dependent gauge potential
Autor:
Bhat, Ishfaq Ahmad, Dey, Bishwajyoti
Publikováno v:
Phys. Rev. E 110, 024208 (2024)
In this article, we numerically investigate the vortex nucleation in a Bose-Einstein condensate trapped in a double-well potential and subjected to a density-dependent gauge potential. A rotating Bose-Einstein condensate, when confined in a double-we
Externí odkaz:
http://arxiv.org/abs/2407.17901
Autor:
Ishfaq, Haque, Tan, Yixin, Yang, Yu, Lan, Qingfeng, Lu, Jianfeng, Mahmood, A. Rupam, Precup, Doina, Xu, Pan
Thompson sampling (TS) is one of the most popular exploration techniques in reinforcement learning (RL). However, most TS algorithms with theoretical guarantees are difficult to implement and not generalizable to Deep RL. While the emerging approxima
Externí odkaz:
http://arxiv.org/abs/2406.12241
Publikováno v:
Braz J Phys 54, 105 (2024)
The present study focuses on investigating the shape evolution of neutron-rich even-even Osmium (Os) transitional nuclei within the range of neutron number N = 82 to N = 190. The investigation is conducted using density-dependent meson-nucleon and po
Externí odkaz:
http://arxiv.org/abs/2405.09085
Biomedical image analysis is of paramount importance for the advancement of healthcare and medical research. Although conventional convolutional neural networks (CNNs) are frequently employed in this domain, facing limitations in capturing intricate
Externí odkaz:
http://arxiv.org/abs/2404.00949
Batch Normalization is an important approach to advancing deep learning since it allows multiple networks to train simultaneously. A problem arises when normalizing along the batch dimension because B.N.'s error increases significantly as batch size
Externí odkaz:
http://arxiv.org/abs/2404.00946
Moisture estimation of sub-surface soil and the overlaying biomass layer is pivotal in precision agriculture and wildfire risk assessment. However, the characterization of layered material is nontrivial due to the radar penetration-resolution tradeof
Externí odkaz:
http://arxiv.org/abs/2403.19853