Zobrazeno 1 - 10
of 35 922
pro vyhledávání: '"Lone IN"'
This paper investigates physiological markers of Social Anxiety Disorder (SAD) by examining the relationship between Electrocardiogram (ECG) measurements and speech, a known anxiety-inducing activity. Specifically, we analyze changes in heart rate va
Externí odkaz:
http://arxiv.org/abs/2501.01471
Within quantum information frameworks, managing decoherence stands as a pivotal task. The present work delves into decoherence dynamics of a dressed qubit, represented by a spinless fermion hopping between two lattice sites that are strongly coupled
Externí odkaz:
http://arxiv.org/abs/2501.00355
Quantum information processing relies on how dynamics unfold in open quantum systems. In this work, we study the non-Markovian dynamics in the single mode spin-boson model at strong couplings. In order to apply perturbation theory, we transform our H
Externí odkaz:
http://arxiv.org/abs/2501.00350
Autor:
Samal, Arijit, Lone, Haroon R
Non-invasive temperature monitoring of individuals plays a crucial role in identifying and isolating symptomatic individuals. Temperature monitoring becomes particularly vital in settings characterized by close human proximity, often referred to as d
Externí odkaz:
http://arxiv.org/abs/2412.00863
Autor:
Khare, Smith K., Booth, Berit Bargum, Blanes-Vidal, Victoria, Petersen, Lone Kjeld, Nadimi, Esmaeil S.
Cervical cancer remains a major worldwide health issue, with early identification and risk assessment playing critical roles in effective preventive interventions. This paper presents the Cervix-AID-Net model for cervical precancer risk classificatio
Externí odkaz:
http://arxiv.org/abs/2411.09469
The trend of employing training-free methods for point cloud recognition is becoming increasingly popular due to its significant reduction in computational resources and time costs. However, existing approaches are limited as they typically extract e
Externí odkaz:
http://arxiv.org/abs/2409.04760
We introduce a novel deep operator network (DeepONet) framework that incorporates generalised variational inference (GVI) using R\'enyi's $\alpha$-divergence to learn complex operators while quantifying uncertainty. By incorporating Bayesian neural n
Externí odkaz:
http://arxiv.org/abs/2408.00681
Autor:
Nosyk, Yevheniya, Korczyński, Maciej, Gañán, Carlos H., Król, Michał, Lone, Qasim, Duda, Andrzej
DNS dynamic updates represent an inherently vulnerable mechanism deliberately granting the potential for any host to dynamically modify DNS zone files. Consequently, this feature exposes domains to various security risks such as domain hijacking, com
Externí odkaz:
http://arxiv.org/abs/2405.19871
Depression is one of the most common mental disorders affecting an individual's personal and professional life. In this work, we investigated the possibility of utilizing social media posts to identify depression in individuals. To achieve this goal,
Externí odkaz:
http://arxiv.org/abs/2405.06656
Improving mental health support in developing countries is a pressing need. One potential solution is the development of scalable, automated systems to conduct diagnostic screenings, which could help alleviate the burden on mental health professional
Externí odkaz:
http://arxiv.org/abs/2403.20145