Zobrazeno 1 - 10
of 2 648
pro vyhledávání: '"Garí A"'
Autor:
Falcon-Perez, Ricardo, Gao, Ruohan, Mueckl, Gregor, Gari, Sebastia V. Amengual, Ananthabhotla, Ishwarya
The task of Novel View Acoustic Synthesis (NVAS) - generating Room Impulse Responses (RIRs) for unseen source and receiver positions in a scene - has recently gained traction, especially given its relevance to Augmented Reality (AR) and Virtual Reali
Externí odkaz:
http://arxiv.org/abs/2410.23523
Cardiovascular diseases are best diagnosed using multiple modalities that assess both the heart's electrical and mechanical functions. While effective, imaging techniques like echocardiography and nuclear imaging are costly and not widely accessible.
Externí odkaz:
http://arxiv.org/abs/2410.19667
Autor:
Li, Jun, Aguirre, Aaron, Moura, Junior, Liu, Che, Zhong, Lanhai, Sun, Chenxi, Clifford, Gari, Westover, Brandon, Hong, Shenda
Artificial intelligence (AI) has demonstrated significant potential in ECG analysis and cardiovascular disease assessment. Recently, foundation models have played a remarkable role in advancing medical AI. The development of an ECG foundation model h
Externí odkaz:
http://arxiv.org/abs/2410.04133
Autor:
Reyna, Matthew A., Deepanshi, Weigle, James, Koscova, Zuzana, Campbell, Kiersten, Shivashankara, Kshama Kodthalu, Saghafi, Soheil, Nikookar, Sepideh, Motie-Shirazi, Mohsen, Kiarashi, Yashar, Seyedi, Salman, Clifford, Gari D., Sameni, Reza
We introduce the ECG-Image-Database, a large and diverse collection of electrocardiogram (ECG) images generated from ECG time-series data, with real-world scanning, imaging, and physical artifacts. We used ECG-Image-Kit, an open-source Python toolkit
Externí odkaz:
http://arxiv.org/abs/2409.16612
Autor:
Hossen, Fayaz, Adams, Douglas, Bautista, Joshua, Li, Yaohang, Chern, Gia-Wei, Liuti, Simonetta, Boer, Marie, Cuic, Marija, Goldstein, Gari R., Engelhardt, Michael, Li, Huey-Wen
Deeply virtual exclusive scattering processes (DVES) serve as precise probes of nucleon quark and gluon distributions in coordinate space. These distributions are derived from generalized parton distributions (GPDs) via Fourier transform relative to
Externí odkaz:
http://arxiv.org/abs/2408.11681
Autor:
Hegde, Chaitra, Kiarashi, Yashar, Levey, Allan I, Rodriguez, Amy D, Kwon, Hyeokhyen, Clifford, Gari D
INTRODUCTION: Mild cognitive impairment (MCI) is characterized by a decline in cognitive functions beyond typical age and education-related expectations. Since, MCI has been linked to reduced social interactions and increased aimless movements, we ai
Externí odkaz:
http://arxiv.org/abs/2408.10442
Autor:
Das, Barun, Anderson, Conor, Villavicencio, Tania, Lantz, Johanna, Foster, Jenny, Hamlin, Theresa, Rad, Ali Bahrami, Clifford, Gari D., Kwon, Hyeokhyen
Rapid identification and accurate documentation of interfering and high-risk behaviors in ASD, such as aggression, self-injury, disruption, and restricted repetitive behaviors, are important in daily classroom environments for tracking intervention e
Externí odkaz:
http://arxiv.org/abs/2407.21691
The pattern of state changes in a biomedical time series can be related to health or disease. This work presents a principled approach for selecting a changepoint detection algorithm for a specific task, such as disease classification. Eight key algo
Externí odkaz:
http://arxiv.org/abs/2404.12408
Autor:
Chua, Gari Lincoln
Given a prime number $p$ and a positive integer $m$, we provide a family of diagonal hypersurfaces $\{ f_n \}_{n = 1}^{\infty}$ in $m$ variables, for which the denominator of $\text{ fpt } (f_{n})$ (in lowest terms) is always $p$ and whose $F$-pure t
Externí odkaz:
http://arxiv.org/abs/2404.10968
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 32, pp. 4052-4065, 2024
Smart glasses are increasingly recognized as a key medium for augmented reality, offering a hands-free platform with integrated microphones and non-ear-occluding loudspeakers to seamlessly mix virtual sound sources into the real-world acoustic scene.
Externí odkaz:
http://arxiv.org/abs/2403.19217