Zobrazeno 1 - 10
of 19 224
pro vyhledávání: '"A, SAMADI"'
Metrology, the science of measurement, plays a key role in Advanced Manufacturing (AM) to ensure quality control, process optimization, and predictive maintenance. However, it has often been overlooked in AM domains due to the current focus on automa
Externí odkaz:
http://arxiv.org/abs/2411.05286
Dual-arm mobile manipulators can transport and manipulate large-size objects with simple end-effectors. To interact with dynamic environments with strict safety and compliance requirements, achieving whole-body motion planning online while meeting va
Externí odkaz:
http://arxiv.org/abs/2410.22910
Autor:
Samadi, Nazanin, Seiboth, Frank, Dias, Carlos Sato Baraldi, Novikov, Dmitri, Spiers, Kathryn, Shi, Xianbo
This work presents the design, fabrication, and experimental validation of a refractive diamond axicon for X-ray beam shaping. The diamond axicon was developed to overcome the limitations of polymer-based axicons particularly for application in Trans
Externí odkaz:
http://arxiv.org/abs/2410.01327
Machine Learning (ML) models are increasingly used to support or substitute decision making. In applications where skilled experts are a limited resource, it is crucial to reduce their burden and automate decisions when the performance of an ML model
Externí odkaz:
http://arxiv.org/abs/2409.20489
In this paper, we address the limitations of traditional teacher-student models, imitation learning, and behaviour cloning in the context of Autonomous/Automated Driving Systems (ADS), where these methods often struggle with incomplete coverage of re
Externí odkaz:
http://arxiv.org/abs/2409.17605
Two relationships between the injective chromatic number and, respectively, chromatic number and chromatic index, are proved. They are applied to determine the injective chromatic number of Sierpi\'nski graphs and to give a short proof that Sierpi\'n
Externí odkaz:
http://arxiv.org/abs/2409.08856
This paper aims to investigate the impact of interference in social network algorithms via user-bot interactions, focusing on the Stochastic Bounded Confidence Model (SBCM). This paper explores two approaches: positioning bots controlled by agents in
Externí odkaz:
http://arxiv.org/abs/2409.11426
Autor:
Samadi, Mohammadreza, Han, Fred X., Salameh, Mohammad, Wu, Hao, Sun, Fengyu, Zhou, Chunhua, Niu, Di
Diffusion models have demonstrated strong performance in generative tasks, making them ideal candidates for image editing. Recent studies highlight their ability to apply desired edits effectively by following textual instructions, yet two key challe
Externí odkaz:
http://arxiv.org/abs/2408.08495
Autor:
Samadi, Anahita, Sullivan, Allison
As machine learning systems become more widely used, especially for safety critical applications, there is a growing need to ensure that these systems behave as intended, even in the face of adversarial examples. Adversarial examples are inputs that
Externí odkaz:
http://arxiv.org/abs/2408.08374
Autor:
Wang, Jiayi, Samadi, Saeid, Wang, Hefan, Fernbach, Pierre, Stasse, Olivier, Vijayakumar, Sethu, Tonneau, Steve
How many ways are there to climb a staircase in a given number of steps? Infinitely many, if we focus on the continuous aspect of the problem. A finite, possibly large number if we consider the discrete aspect, \emph{i.e.} on which surface which effe
Externí odkaz:
http://arxiv.org/abs/2407.12962