Zobrazeno 1 - 10
of 6 229
pro vyhledávání: '"Yaghoubi A"'
Publikováno v:
ERCIM News Special theme: Software Security 2024
Traditional access control systems, such as key cards, PIN pads, and physical keys, face challenges in scalability, security, and user experience in today's digital world. We present a cloud-based entry system using Raspberry Pi hardware and Amazon W
Externí odkaz:
http://arxiv.org/abs/2411.14444
Charge transfer is a fundamental phenomenon in biology and chemistry, and involves the movement of charge through a system driven by nuclear dynamics. Because of the involvement of nuclear motion, it is generally assumed that charge transfer will occ
Externí odkaz:
http://arxiv.org/abs/2408.13365
Autor:
Kelm, André, Hannemann, Niels, Heberle, Bruno, Schmidt, Lucas, Rolff, Tim, Wilms, Christian, Yaghoubi, Ehsan, Frintrop, Simone
This study introduces a novel expert generation method that dynamically reduces task and computational complexity without compromising predictive performance. It is based on a new hierarchical classification network topology that combines sequential
Externí odkaz:
http://arxiv.org/abs/2403.05601
Autor:
Karnchanachari, Napat, Geromichalos, Dimitris, Tan, Kok Seang, Li, Nanxiang, Eriksen, Christopher, Yaghoubi, Shakiba, Mehdipour, Noushin, Bernasconi, Gianmarco, Fong, Whye Kit, Guo, Yiluan, Caesar, Holger
Machine Learning (ML) has replaced traditional handcrafted methods for perception and prediction in autonomous vehicles. Yet for the equally important planning task, the adoption of ML-based techniques is slow. We present nuPlan, the world's first re
Externí odkaz:
http://arxiv.org/abs/2403.04133
Autor:
Noohdani, Fahimeh Hosseini, Hosseini, Parsa, Parast, Aryan Yazdan, Araghi, Hamidreza Yaghoubi, Baghshah, Mahdieh Soleymani
Publikováno v:
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
While standard Empirical Risk Minimization (ERM) training is proven effective for image classification on in-distribution data, it fails to perform well on out-of-distribution samples. One of the main sources of distribution shift for image classific
Externí odkaz:
http://arxiv.org/abs/2402.18919
Autor:
Ghaznavi, Mahdi, Asadollahzadeh, Hesam, Araghi, HamidReza Yaghoubi, Noohdani, Fahimeh Hosseini, Rohban, Mohammad Hossein, Baghshah, Mahdieh Soleymani
It is well-known that training neural networks for image classification with empirical risk minimization (ERM) makes them vulnerable to relying on spurious attributes instead of causal ones for prediction. Previously, deep feature re-weighting (DFR)
Externí odkaz:
http://arxiv.org/abs/2312.04893
Autor:
Bilehjani E, Fakhari S, Farzin H, Yaghoubi A, Mirinezhad M, Shadvar K, Dehghani A, Aboalaiy P
Publikováno v:
International Journal of General Medicine, Vol Volume 10, Pp 15-21 (2017)
Eissa Bilehjani,1 Solmaz Fakhari,1 Haleh Farzin,1 Alireza Yaghoubi,2 Moussa Mirinazhad,1 Kamran Shadvar,1 Abbasali Dehghani,1 Pariasadat Aboalaiy1 1Department of Anesthesiology, Tabriz University of Medical Sciences, Tabriz, 2Department of Cardiovasc
Externí odkaz:
https://doaj.org/article/e0790bb04d624616b44fd7dc424bd937
Autor:
Khadivi, Maziyar, Charter, Todd, Yaghoubi, Marjan, Jalayer, Masoud, Ahang, Maryam, Shojaeinasab, Ardeshir, Najjaran, Homayoun
Machine scheduling aims to optimize job assignments to machines while adhering to manufacturing rules and job specifications. This optimization leads to reduced operational costs, improved customer demand fulfillment, and enhanced production efficien
Externí odkaz:
http://arxiv.org/abs/2310.03195
Autor:
Yalda Metghalchi, Neda Yaghoubi, Nazila Yousefi, Razieh Ahmadi, Alireza Kargar, Marzieh Zargaran, Soheila Rezaei
Publikováno v:
Cost Effectiveness and Resource Allocation, Vol 22, Iss 1, Pp 1-10 (2024)
Abstract Background and objective This study aimed to determine the cost-effectiveness of Tocilizumab (TCZ) compared with Adalimumab (ADA) in patients with Rheumatoid Arthritis (RA), who had not responded to methotrexate (MTX), from a societal perspe
Externí odkaz:
https://doaj.org/article/dba3fb76ad7e4499ab2f5d721a6be22e
Publikováno v:
Discover Applied Sciences, Vol 6, Iss 11, Pp 1-16 (2024)
Abstract In the current study, the stress distribution in the pipe with viscoelastic behavior in presence of different loading conditions has been investigated. In order to connect the polyethylene (PE) gas pipes, the electrofusion sockets are used.
Externí odkaz:
https://doaj.org/article/a48a40b002af48e9b8981393cc5fa965