Zobrazeno 1 - 10
of 25 903
pro vyhledávání: '"Safari A"'
Autor:
Safari, Arta A., Bogdanov, Nikolay A.
A generalised extraction procedure for magnetic interactions using effective Hamiltonians applicable to systems with more than two sites featuring local spins $S_i \geq 1$ is presented. To this end, closed, non-recursive expressions pertaining to cha
Externí odkaz:
http://arxiv.org/abs/2410.11544
Due to the saturation of the body ($m_b$) and surface ($M_S$) earthquake magnitudes, the moment magnitude ($M_W$) is a more convenient parameter for representing earthquake energies. We use the HRVD data, including 18,569 earthquakes recorded from 19
Externí odkaz:
http://arxiv.org/abs/2410.09813
Uncertainty around predictions from a model due to the finite size of the development sample has traditionally been approached using classical inferential techniques. The finite size of the sample will result in the discrepancy between the final mode
Externí odkaz:
http://arxiv.org/abs/2410.03096
Autor:
Safari, Amirsaeid, Hoagg, Jesse B.
This paper presents an approach for navigation and control in unmapped environments under input and state constraints using a composite control barrier function (CBF). We consider the scenario where real-time perception feedback (e.g., LiDAR) is used
Externí odkaz:
http://arxiv.org/abs/2410.02106
Autor:
Eidex, Zach, Safari, Mojtaba, Qiu, Richard L. J., Yu, David S., Shu, Hui-Kuo, Mao, Hui, Yang, Xiaofeng
Objective: Gadolinium-based contrast agents (GBCAs) are commonly used in MRI scans of patients with gliomas to enhance brain tumor characterization using T1-weighted (T1W) MRI. However, there is growing concern about GBCA toxicity. This study develop
Externí odkaz:
http://arxiv.org/abs/2409.01622
Autor:
Safari, Amirsaeid, Hoagg, Jesse B.
We present a closed-form optimal feedback control method that ensures safety in an a prior unknown and potentially dynamic environment. This article considers the scenario where local perception data (e.g., LiDAR) is obtained periodically, and this d
Externí odkaz:
http://arxiv.org/abs/2409.01458
Different activation functions work best for different deep learning models. To exploit this, we leverage recent advancements in gradient-based search techniques for neural architectures to efficiently identify high-performing activation functions fo
Externí odkaz:
http://arxiv.org/abs/2408.06820
The differential rotation plays a crucial role in the dynamics of the Sun. We study the solar rotation and its correlation with solar activity by applying a modified machine learning algorithm to identify and track coronal bright points (CBPs) from t
Externí odkaz:
http://arxiv.org/abs/2407.17594
The regular behavior of the pulsations of high-amplitude Delta Sct (HADS) stars gives a greater chance to investigate the interiors of stars. We analyzed seven HADS stars showing peak-to-peak amplitudes of more than 0.3 mag that were newly observed b
Externí odkaz:
http://arxiv.org/abs/2407.05075
Autor:
Eidex, Zach, Safari, Mojtaba, Wynne, Jacob, Qiu, Richard L. J., Wang, Tonghe, Hernandez, David Viar, Shu, Hui-Kuo, Mao, Hui, Yang, Xiaofeng
Purpose: Apparent diffusion coefficient (ADC) maps derived from diffusion weighted (DWI) MRI provides functional measurements about the water molecules in tissues. However, DWI is time consuming and very susceptible to image artifacts, leading to ina
Externí odkaz:
http://arxiv.org/abs/2407.02616