Zobrazeno 1 - 10
of 940
pro vyhledávání: '"Butala P"'
Autor:
Thebaud, Thomas, Favaro, Anna, Chen, Casey, Chavez, Gabrielle, Moro-Velazquez, Laureano, Butala, Ankur, Dehak, Najim
Motor changes are early signs of neurodegenerative diseases (NDs) such as Parkinson's disease (PD) and Alzheimer's disease (AD), but are often difficult to detect, especially in the early stages. In this work, we examine the behavior of a wide array
Externí odkaz:
http://arxiv.org/abs/2409.08303
Understanding structure-property relationships is essential for advancing technologies based on thin films. X-ray pair distribution function (PDF) analysis can access relevant atomic structure details spanning local-, mid-, and long-range order. Whil
Externí odkaz:
http://arxiv.org/abs/2407.12621
Autor:
Kapoor, Raghav, Butala, Yash Parag, Russak, Melisa, Koh, Jing Yu, Kamble, Kiran, Alshikh, Waseem, Salakhutdinov, Ruslan
For decades, human-computer interaction has fundamentally been manual. Even today, almost all productive work done on the computer necessitates human input at every step. Autonomous virtual agents represent an exciting step in automating many of thes
Externí odkaz:
http://arxiv.org/abs/2402.17553
Autor:
Wang, Helin, Ravichandran, Venkatesh, Rao, Milind, Lammers, Becky, Sydnor, Myra, Maragakis, Nicholas, Butala, Ankur A., Zhang, Jayne, Clawson, Lora, Chovaz, Victoria, Moro-Velazquez, Laureano
Spoken language understanding (SLU) systems often exhibit suboptimal performance in processing atypical speech, typically caused by neurological conditions and motor impairments. Recent advancements in Text-to-Speech (TTS) synthesis-based augmentatio
Externí odkaz:
http://arxiv.org/abs/2311.10149
Autor:
Wang, Zixuan, Tang, Haoran, Wang, Haibo, Qin, Bo, Butala, Mark D., Shen, Weiming, Wang, Hongwei
Despite the remarkable results that can be achieved by data-driven intelligent fault diagnosis techniques, they presuppose the same distribution of training and test data as well as sufficient labeled data. Various operating states often exist in pra
Externí odkaz:
http://arxiv.org/abs/2310.14790
Autor:
Anna Favaro, Ankur Butala, Thomas Thebaud, Jesús Villalba, Najim Dehak, Laureano Moro-Velázquez
Publikováno v:
npj Parkinson's Disease, Vol 10, Iss 1, Pp 1-17 (2024)
Abstract Numerous studies proposed methods to detect Parkinson’s disease (PD) via speech analysis. However, existing corpora often lack prodromal recordings, have small sample sizes, and lack longitudinal data. Speech samples from celebrities who p
Externí odkaz:
https://doaj.org/article/82158bc3c8b54f4faf524c79e3106109
Autor:
Anja Pavlin, Nadine Fornelos, Maja Popović, Neža Praček, Gregor Bajc, Margarita Salas, Matej Butala
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-10 (2024)
Abstract Betatectiviruses are prophages consisting of linear extrachromosomal genomes without obvious plasmid modules. It remains unclear how betatectiviruses are maintained in low-copy numbers in host cells and how they are vertically transmitted. P
Externí odkaz:
https://doaj.org/article/a13c7d3a76a5493ea3e54b4886bfc16d
Autor:
Wang, Zixuan, Qin, Bo, Li, Mengxuan, Zhan, Chenlu, Butala, Mark D., Peng, Peng, Wang, Hongwei
The efficient utilization of wind power by wind turbines relies on the ability of their pitch systems to adjust blade pitch angles in response to varying wind speeds. However, the presence of multiple health conditions in the pitch system due to the
Externí odkaz:
http://arxiv.org/abs/2306.14701
Autor:
Nandy, Abhilash, Kapadnis, Manav Nitin, Patnaik, Sohan, Butala, Yash Parag, Goyal, Pawan, Ganguly, Niloy
In this paper, we propose $FastDoc$ (Fast Continual Pre-training Technique using Document Level Metadata and Taxonomy), a novel, compute-efficient framework that utilizes Document metadata and Domain-Specific Taxonomy as supervision signals to contin
Externí odkaz:
http://arxiv.org/abs/2306.06190
Autor:
Caitlin Brigid Butala, Roo Nicola Rose Cave, Jenna Fyfe, Paul Gerard Coleman, Guo-Jing Yang, Susan Christina Welburn
Publikováno v:
Infectious Diseases of Poverty, Vol 13, Iss 1, Pp 1-16 (2024)
Abstract Background This study investigates the impact of the COVID-19 pandemic on the prevalence, management, and control of the neglected tropical diseases (NTDs) highlighting the current or prospective impact of COVID-19 on research and developmen
Externí odkaz:
https://doaj.org/article/035a2f4ab9344647a870585a4b137ebd