Zobrazeno 1 - 10
of 6 082
pro vyhledávání: '"A. A. Tavassoli"'
Renewable prosumers face the complex challenge of balancing self-sufficiency with seamless grid and market integration. This paper introduces a novel prosumers network framework aimed at mitigating peak loads in Iran, particularly under the uncertain
Externí odkaz:
http://arxiv.org/abs/2409.00493
Iran's power grid faces mounting challenges due to the widening gap between rapidly increasing peak demand and lagging sustainable capacity expansion or load management. Prosumers have become key players in reducing grid load and offering valuable fl
Externí odkaz:
http://arxiv.org/abs/2409.00367
Model-free optimal controller for discrete-time Markovian jump linear systems: A Q-learning approach
Autor:
Badfar, Ehsan, Tavassoli, Babak
This research paper introduces a model-free optimal controller for discrete-time Markovian jump linear systems (MJLSs), employing principles from the methodology of reinforcement learning (RL). While Q-learning methods have demonstrated efficacy in d
Externí odkaz:
http://arxiv.org/abs/2408.03077
Autor:
Esposito, Matteo, Sabzevari, Maryam Tavassoli, Ye, Boshuai, Falessi, Davide, Khan, Arif Ali, Taibi, Davide
Quantum computing, albeit readily available as hardware or emulated on the cloud, is still far from being available in general regarding complex programming paradigms and learning curves. This vision paper introduces $Classi|Q\rangle$, a translation
Externí odkaz:
http://arxiv.org/abs/2406.06764
In recent years, Graph Neural Networks (GNNs) have made significant advancements, particularly in tasks such as node classification, link prediction, and graph representation. However, challenges arise from biases that can be hidden not only in the n
Externí odkaz:
http://arxiv.org/abs/2404.06090
Quantum Computing (QC) is transitioning from theoretical frameworks to an indispensable powerhouse of computational capability, resulting in extensive adoption across both industrial and academic domains. QC presents exceptional advantages, including
Externí odkaz:
http://arxiv.org/abs/2403.08663
Autor:
Waite, Joshua R., Feng, Jiale, Tavassoli, Riley, Harris, Laura, Tan, Sin Yong, Chakraborty, Subhadeep, Sarkar, Soumik
The increasing concern surrounding gun violence in the United States has led to a focus on developing systems to improve public safety. One approach to developing such a system is to detect and track shooters, which would help prevent or mitigate the
Externí odkaz:
http://arxiv.org/abs/2309.03381
Autor:
Fatemeh Ghoroubi, Mandana Alamdari Mahd, Azim Mehrvar, Bibi Shahin Shamsian, Sara Tavassoli-Hojjati
Publikováno v:
Journal of Dentistry, Vol 25, Iss 3, Pp 243-250 (2024)
Statement of the Problem: Chemotherapy-induced mucositis is the most common complication during cancer treatment. This complication can lead to pain, increased risk of infection and malnutrition. Therefore, it is important to find a solution to reduc
Externí odkaz:
https://doaj.org/article/30c797b7599048f099ee0cb9213bfbe4
Autor:
Moorman, Christine (AUTHOR) moorman@duke.edu, Sorescu, Alina (AUTHOR), Tavassoli, Nader T. (AUTHOR)
Publikováno v:
Journal of Marketing Research (JMR). Apr2024, Vol. 61 Issue 2, p204-224. 21p.
Human activity recognition (HAR) using machine learning has shown tremendous promise in detecting construction workers' activities. HAR has many applications in human-robot interaction research to enable robots' understanding of human counterparts' a
Externí odkaz:
http://arxiv.org/abs/2308.14843