Zobrazeno 1 - 10
of 1 342
pro vyhledávání: '"P. Shirali"'
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
Extreme events are of great importance since they often represent impactive occurrences. For instance, in terms of climate and weather, extreme events might be major storms, floods, extreme heat or cold waves, and more. However, they are often locate
Externí odkaz:
http://arxiv.org/abs/2409.14232
The continuous flow of data collected by Internet of Things (IoT) devices, has revolutionised our ability to understand and interact with the world across various applications. However, this data must be prepared and transformed into event data befor
Externí odkaz:
http://arxiv.org/abs/2409.03478
Autor:
Gustafson, Erik, Sherbert, Kyle, Florio, Adrien, Shirali, Karunya, Chen, Yanzhu, Lamm, Henry, Valgushev, Semeon, Weichselbaum, Andreas, Economou, Sophia E., Pisarski, Robert D., Tubman, Norm M.
Inspired by recent advancements of simulating periodic systems on quantum computers, we develop a new approach, (SC)$^2$-ADAPT-VQE, to further advance the simulation of these systems. Our approach extends the scalable circuits ADAPT-VQE framework, wh
Externí odkaz:
http://arxiv.org/abs/2408.12641
We propose a generative quantum learning algorithm, R\'enyi-ADAPT, using the Adaptive Derivative-Assembled Problem Tailored ansatz (ADAPT) framework in which the loss function to be minimized is the maximal quantum R\'enyi divergence of order two, an
Externí odkaz:
http://arxiv.org/abs/2408.00218
Algorithmic predictions are emerging as a promising solution concept for efficiently allocating societal resources. Fueling their use is an underlying assumption that such systems are necessary to identify individuals for interventions. We propose a
Externí odkaz:
http://arxiv.org/abs/2406.13882
A process mining-based error correction approach to improve data quality of an IoT-sourced event log
Autor:
Shirali, Mohsen, Ahmadi, Zahra, Fernández-Llatas, Carlos, Bayo-Monton, Jose-Luis, Di Federico, Gemma
Internet of Things (IoT) systems are vulnerable to data collection errors and these errors can significantly degrade the quality of collected data, impact data analysis and lead to inaccurate or distorted results. This article emphasizes the importan
Externí odkaz:
http://arxiv.org/abs/2404.13091
This study exploits information fusion in IoT systems and uses a clustering method to identify similarities in behaviours and key characteristics within each cluster. This approach facilitates early detection of behaviour changes and provides a more
Externí odkaz:
http://arxiv.org/abs/2403.14707
Counterfactual explanations provide individuals with cost-optimal actions that can alter their labels to desired classes. However, if substantial instances seek state modification, such individual-centric methods can lead to new competitions and unan
Externí odkaz:
http://arxiv.org/abs/2402.04579
Autor:
Aigerim Kalizhanova, Sauran Yerdessov, Yesbolat Sakko, Aigul Tursynbayeva, Shirali Kadyrov, Abduzhappar Gaipov, Ardak Kashkynbayev
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Tuberculosis (TB) is a highly contagious disease that remains a global concern affecting numerous countries. Kazakhstan has been facing considerable challenges in TB prevention and treatment for decades. This study aims to understand TB tran
Externí odkaz:
https://doaj.org/article/96045ca7e0e94ac9b9fdf347b9c1b399
