Zobrazeno 1 - 10
of 217 375
pro vyhledávání: '"Mohsen, A."'
Autor:
Rad, Mohsen Falah, Roudposhti, Kamrad Khoshhal, Khoobkar, Mohammad Hassan, Shirali, Mohsen, Ahmadi, Zahra, Fernandez-Llatas, Carlos
The growth in the elderly population and the shift in the age pyramid have increased the demand for healthcare and well-being services. To address this concern, alongside the rising cost of medical care, the concept of ageing at home has emerged, dri
Externí odkaz:
http://arxiv.org/abs/2410.04152
Autor:
Fathi, Mohsen
We investigate the shadow properties of a rotating black hole with a weakly coupled global monopole charge, using a modified Newman-Janis algorithm. This study explores how this charge and rotational effects shape the black hole's shadow, causal stru
Externí odkaz:
http://arxiv.org/abs/2411.08564
Autor:
Yun, Sanggeon, Masukawa, Ryozo, Chung, William Youngwoo, Na, Minhyoung, Bastian, Nathaniel, Imani, Mohsen
The increasing demand for robust security solutions across various industries has made Video Anomaly Detection (VAD) a critical task in applications such as intelligent surveillance, evidence investigation, and violence detection. Traditional approac
Externí odkaz:
http://arxiv.org/abs/2411.09072
Interactive exploration of the unknown physical properties of objects such as stiffness, mass, center of mass, friction coefficient, and shape is crucial for autonomous robotic systems operating continuously in unstructured environments. Precise iden
Externí odkaz:
http://arxiv.org/abs/2411.09020
Energy considerations can significantly affect the behavior of a population of energy-consuming agents with limited energy budgets, for instance, in the movement process of people in a city. We consider a population of interacting agents with an init
Externí odkaz:
http://arxiv.org/abs/2411.07771
Diffusion models have revolutionized image synthesis, garnering significant research interest in recent years. Diffusion is an iterative algorithm in which samples are generated step-by-step, starting from pure noise. This process introduces the noti
Externí odkaz:
http://arxiv.org/abs/2411.07449
Autor:
Salmanogli, Ahmad, Zandi, Hesam, Hajihosseini, Saeed, Esmaeili, Mahdi, Eskandari, M. Hossein, Akbari, Mohsen
The Purcell effect, a common issue in qubit-resonator systems leading to fidelity loss is studied while its suppression is achieved using a novel qubit readout circuit design. Our approach utilizes a unique coupling architecture in which, the qubit f
Externí odkaz:
http://arxiv.org/abs/2411.07153
Despite their tremendous success and versatility, Large Language Models (LLMs) suffer from inference inefficiency while relying on advanced computational infrastructure. To address these challenges and make LLMs more accessible and cost-effective, in
Externí odkaz:
http://arxiv.org/abs/2411.06360
The generation of industrial Computer-Aided Design (CAD) models from user requests and specifications is crucial to enhancing efficiency in modern manufacturing. Traditional methods of CAD generation rely heavily on manual inputs and struggle with co
Externí odkaz:
http://arxiv.org/abs/2411.06206
Autor:
Rezabeyk, Elmira Mousa, Beigzad, Salar, Hamzavi, Yasin, Bagheritabar, Mohsen, Mirikhoozani, Seyedeh Sogol
Publikováno v:
International Conference on Augmented Reality, Intelligent Systems, and Industrial Automation (ARIIA-2024)
Deep learning methods have established a significant place in image classification. While prior research has focused on enhancing final outcomes, the opaque nature of the decision-making process in these models remains a concern for experts. Addition
Externí odkaz:
http://arxiv.org/abs/2411.05858