Zobrazeno 1 - 10
of 201 089
pro vyhledávání: '"A. Fatima"'
The work reports nonmagnetic behavior (0.04 $\mu$B) in two-dimensional (2D) V2C-OF MXene and ferromagnetism in MnO$_2$ adsorbed V2C-OF MXene. The density functional theory (DFT) calculations were carried out to study the magnetic moments of V$_2$C-OF
Externí odkaz:
http://arxiv.org/abs/2411.09536
Advancements in tracking algorithms have empowered nascent applications across various domains, from steering autonomous vehicles to guiding robots to enhancing augmented reality experiences for users. However, these algorithms are application-specif
Externí odkaz:
http://arxiv.org/abs/2411.07146
Enhancing presence in mixed reality (MR) relies on precise measurement and quantification. While presence has traditionally been measured through subjective questionnaires, recent research links presence with objective metrics like reaction time. Pas
Externí odkaz:
http://arxiv.org/abs/2411.05272
Distractions in mixed reality (MR) environments can significantly influence user experience, affecting key factors such as presence, reaction time, cognitive load, and Break in Presence (BIP). Presence measures immersion, reaction time captures user
Externí odkaz:
http://arxiv.org/abs/2411.05275
Understanding group behavior is essential for improving collaboration and productivity. While research on group behavior in virtual reality (VR) is significantly advanced, understanding group dynamics in mixed reality (MR) remains understudied. Under
Externí odkaz:
http://arxiv.org/abs/2411.05258
Autor:
Mobbs, Rowena, Nasrallah, Fatima, To, Xuan Vinh, Magnussen, John, Batchelor, Jennifer, Hsiao, Edward, Walterfang, Mark
Objectives: This study examined whether currently existing clinical structural magnetic resonance imaging (MRI) and fluorodeoxyglucose positron emission tomography (18FDG-PET) capabilities and board-certified radiologists' reports and interpretations
Externí odkaz:
http://arxiv.org/abs/2411.04334
Autor:
Arikan, Toros, Chackalackal, Luca M., Ahsan, Fatima, Tittel, Konrad, Singer, Andrew C., Wornell, Gregory W., Baraniuk, Richard G.
Underwater acoustic environment estimation is a challenging but important task for remote sensing scenarios. Current estimation methods require high signal strength and a solution to the fragile echo labeling problem to be effective. In previous publ
Externí odkaz:
http://arxiv.org/abs/2411.02609
The standard magnetorotational instability (SMRI) is widely believed to be responsible for the observed accretion rates in astronomical disks. It is a linear instability triggered in the differentially rotating ionized disk flow by a magnetic field c
Externí odkaz:
http://arxiv.org/abs/2411.02361
Image labeling is a critical bottleneck in the development of computer vision technologies, often constraining the potential of machine learning models due to the time-intensive nature of manual annotations. This work introduces a novel approach that
Externí odkaz:
http://arxiv.org/abs/2410.24116
Autor:
Löfström, Tuwe, Yapicioglu, Fatima Rabia, Stramiglio, Alessandra, Löfström, Helena, Vitali, Fabio
This paper introduces Fast Calibrated Explanations, a method designed for generating rapid, uncertainty-aware explanations for machine learning models. By incorporating perturbation techniques from ConformaSight - a global explanation framework - int
Externí odkaz:
http://arxiv.org/abs/2410.21129