Zobrazeno 1 - 10
of 14 257
pro vyhledávání: '"Najafi P"'
Publikováno v:
پژوهشهای حقوقی, Vol 22, Iss 54, Pp 127-169 (2023)
Children are one of the greatest victims of terrorist attacks and are subject to severe mental and physical harm. Using minors in terrorist actions and suicide operations, ISIS generates extensive moral and physical consequences for the children in a
Externí odkaz:
https://doaj.org/article/b81bf3c57c874eb99be810b75931fa25
Animals, especially insects, navigate their environments using complex strategies that integrate responses to chemical signals such as pheromones. The relative importance an insect places on foraging, finding a mate or other tasks can significantly i
Externí odkaz:
http://arxiv.org/abs/2411.09092
Autor:
Deshpande, Abhinav, Hinsche, Marcel, Najafi, Sona, Sharma, Kunal, Sweke, Ryan, Zoufal, Christa
Classical optimization of parameterized quantum circuits is a widely studied methodology for the preparation of complex quantum states, as well as the solution of machine learning and optimization problems. However, it is well known that many propose
Externí odkaz:
http://arxiv.org/abs/2411.05760
In this paper, we address the challenge of certifying the performance of a machine learning model on an unseen target network, using measurements from an available source network. We focus on a scenario where heterogeneous datasets are distributed ac
Externí odkaz:
http://arxiv.org/abs/2410.20250
Autor:
Saberi, Amir Hossein, Najafi, Amir, Emrani, Ala, Behjati, Amin, Zolfimoselo, Yasaman, Shadrooy, Mahdi, Motahari, Abolfazl, Khalaj, Babak H.
The aim of this paper is to address the challenge of gradual domain adaptation within a class of manifold-constrained data distributions. In particular, we consider a sequence of $T\ge2$ data distributions $P_1,\ldots,P_T$ undergoing a gradual shift,
Externí odkaz:
http://arxiv.org/abs/2410.14061
Autor:
Holighi, Amirhossein Kheiri, Hajibekandeh, Seyed Sobhan Hosseini, Behbahani, Amirhossein Gholizadeh, Khatibi, Kian, Shabestari, Saina Najafi, Ghoreishi, Ghazal, Dadnavi, Aria, Sadeghi, Saba, Makhsous, Shahriar Karimi, Jamshidi, Matin, Abadi, Mandana Shabanzadeh Nasrolah, Moaiyeri, Mohammad Hossein
This paper presents Auriga Robotics' autonomous vehicle, developed at Shahid Beheshti University's Robotics and Intelligent Automation Lab, as part of the team's entry for the 2024 RoboCup IranOpen competition. The vehicle is a 1:10 scale car equippe
Externí odkaz:
http://arxiv.org/abs/2410.11746
This paper proposes an observer-based event-driven approach to decrease the overuse of communication networks. The suggested approach aims to estimate the required data for sharing between units in line with as much communication reduction as possibl
Externí odkaz:
http://arxiv.org/abs/2409.17916
Autor:
Najafi, Mohammad Hossein, Morsali, Mohammad, Vahediahmar, Mohammadmahdi, Shouraki, Saeed Bagheri
Recent advancements in deep learning, particularly in medical imaging, have significantly propelled the progress of healthcare systems. However, examining the robustness of medical images against adversarial attacks is crucial due to their real-world
Externí odkaz:
http://arxiv.org/abs/2408.08489
Autor:
Köylüoğlu, Nazlı Uğur, Majumder, Swarndeep, Amico, Mirko, Mostame, Sarah, Berg, Ewout van den, Rajabpour, M. A., Minev, Zlatko, Najafi, Khadijeh
Central charge is a fundamental quantity in conformal field theories (CFT), and plays a crucial role in determining universality classes of critical points in two-dimensional systems. Despite its significance, the measurement of central charge has re
Externí odkaz:
http://arxiv.org/abs/2408.06342
Autor:
Mariella, Nicola, Murphy, Tara, Di Marcantonio, Francesco, Najafi, Khadijeh, Vallecorsa, Sofia, Zhuk, Sergiy, Rico, Enrique
Quantum phase transitions offer profound insights into fundamental quantum phenomena and enhance our understanding of complex materials and systems. However, identifying quantum phase transitions in the absence of conventional order parameters poses
Externí odkaz:
http://arxiv.org/abs/2408.01400