Zobrazeno 1 - 10
of 117 223
pro vyhledávání: '"A, Tahir"'
Autor:
Tahir, Adam M
A model predictive control scheme to stabilize desired configurations of collinear Coulomb spacecraft formations is derived in this paper. The nonlinearities of the dynamics with respect to the input make this problem difficult to solve, computationa
Externí odkaz:
http://arxiv.org/abs/2411.03288
This paper explores the application and significance of the second-order Esscher pricing model in option pricing and risk management. We split the study into two main parts. First, we focus on the constant jump diffusion (CJD) case, analyzing the beh
Externí odkaz:
http://arxiv.org/abs/2410.21649
Autor:
Gilles, Jerome, Alvarez, Francis, Ferrante, Nicholas B., Fortman, Margaret, Tahir, Lena, Tarter, Alex, von Seeger, Anneke
Publikováno v:
Image and Vision Computing Journal, Vol.73, 40--55, May 2018
In this paper, we investigate how moving objects can be detected when images are impacted by atmospheric turbulence. We present a geometric spatio-temporal point of view to the problem and show that it is possible to distinguish movement due to the t
Externí odkaz:
http://arxiv.org/abs/2410.21551
Publikováno v:
Chinese Physics C 48, 094101 (2024)
The neutron capture rates and temperature dependent stellar beta decay rates of Mo isotopes are investigated within the framework of the statistical code (Talys v1.96) and proton neutron quasi particle random phase approximation (pnQRPA) models. The
Externí odkaz:
http://arxiv.org/abs/2410.20086
This study addresses the challenge of analyzing the growth kinetics of carbon nanotubes using in-situ homodyne polarization microscopy (HPM) by developing an automated deep learning (DL) approach. A Mask-RCNN architecture, enhanced with a ResNet-50 b
Externí odkaz:
http://arxiv.org/abs/2410.13594
Autor:
Alamu, Opeyemi Sheu, Choque, Bismar Jorge Gutierrez, Rizvi, Syed Wajeeh Abbs, Hammed, Samah Badr, Medani, Isameldin Elamin, Siam, Md Kamrul, Tahir, Waqar Ahmad
Breast cancer remains a significant global health challenge, with prognosis and treatment decisions largely dependent on clinical characteristics. Accurate prediction of patient outcomes is crucial for personalized treatment strategies. This study em
Externí odkaz:
http://arxiv.org/abs/2410.13404
With the emergence of large-scale pre-trained neural networks, methods to adapt such "foundation" models to data-limited downstream tasks have become a necessity. Fine-tuning, preference optimization, and transfer learning have all been successfully
Externí odkaz:
http://arxiv.org/abs/2410.08194
Autor:
Zafar, Roohi, Kamran, Muhammad, Malik, Tahir, Karera, Kashish, Tariq, Humayon, Mustafa, Ghulam, Khan, Muhammad Mubashir
Random numbers are central to various applications such as secure communications, quantum key distribution theory (QKD), statistics, and other tasks. One of today's most popular generators is quantum random numbers (QRNGs). The inherent randomness an
Externí odkaz:
http://arxiv.org/abs/2409.20492
Publikováno v:
European Physical Journal A 60:75 (2024)
The beta-decay log ft values for 210 215Pb 210 215Bi and 210 215Bi 210 215Po transitions in the north east region of 208Pb nuclei are estimated using the proton neutron quasiparticle random phase approximation model. The pn-QRPA equations were solved
Externí odkaz:
http://arxiv.org/abs/2409.12565
Autor:
Nakao, Masato, Hamamoto, Kensei, Tsunoda, Masateru, Tahir, Amjed, Toda, Koji, Monden, Akito, Nakasai, Keitaro, Matsumoto, Kenichi
Developers must select a high-performance fault localization (FL) technique from available ones. A conventional approach is to try to select only one FL technique that is expected to attain high performance before debugging activity. In contrast, we
Externí odkaz:
http://arxiv.org/abs/2409.06268