Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Abdallah, Zahraa S"'
Autor:
Sahota, Amarpal, Roguski, Amber, Jones, Matthew W, Abdallah, Zahraa S., Santos-Rodriguez, Raul
We evaluate the effectiveness of combining brain connectivity metrics with signal statistics for early stage Parkinson's Disease (PD) classification using electroencephalogram data (EEG). The data is from 5 arousal states - wakeful and four sleep sta
Externí odkaz:
http://arxiv.org/abs/2408.00711
Gene essentiality, the necessity of a specific gene for the survival of an organism, is crucial to our understanding of cellular processes and identifying drug targets. Experimental determination of gene essentiality requires large growth screens tha
Externí odkaz:
http://arxiv.org/abs/2403.18666
Autor:
Bennett, Luca A., Abdallah, Zahraa S.
Publikováno v:
In proceedings of the 8th Workshop on Advanced Analytics and Learning on Temporal Data (AALTD 2023), pages 76-91, 2023
Multivariate time series classification is a rapidly growing research field with practical applications in finance, healthcare, engineering, and more. The complexity of classifying multivariate time series data arises from its high dimensionality, te
Externí odkaz:
http://arxiv.org/abs/2307.13679
Early diagnosis of Alzheimer's disease (AD) is essential in preventing the disease's progression. Therefore, detecting AD from neuroimaging data such as structural magnetic resonance imaging (sMRI) has been a topic of intense investigation in recent
Externí odkaz:
http://arxiv.org/abs/2301.13504
Autor:
Sahota, Amarpal, Roguski, Amber, Jones, Matthew W., Rolinski, Michal, Whone, Alan, Santos-Rodriguez, Raul, Abdallah, Zahraa S.
Detecting Parkinson's Disease in its early stages using EEG data presents a significant challenge. This paper introduces a novel approach, representing EEG data as a 15-variate series of bandpower and peak frequency values/coefficients. The hypothesi
Externí odkaz:
http://arxiv.org/abs/2301.09568
Autor:
Degen, Isabella, Abdallah, Zahraa S.
Publikováno v:
JMIRx Med 5(1):e44384 (2024)
Type 1 Diabetes (T1D) is a chronic condition where the body produces little or no insulin, a hormone required for the cells to use blood glucose (BG) for energy and to regulate BG levels in the body. Finding the right insulin dose and time remains a
Externí odkaz:
http://arxiv.org/abs/2211.07393
Swarm behavior emerges from the local interaction of agents and their environment often encoded as simple rules. Extracting the rules by watching a video of the overall swarm behavior could help us study and control swarm behavior in nature, or artif
Externí odkaz:
http://arxiv.org/abs/2209.01118
Autor:
Edmonds, Jonah, Abdallah, Zahraa S.
Energy disaggregation estimates appliance-by-appliance electricity consumption from a single meter that measures the whole home's electricity demand. Compared with intrusive load monitoring, NILM (Non-intrusive load monitoring) is low cost, easy to d
Externí odkaz:
http://arxiv.org/abs/2207.05463
Autor:
Brock, James, Abdallah, Zahraa S.
Satellite Image Time Series (SITS) of the Earth's surface provide detailed land cover maps, with their quality in the spatial and temporal dimensions consistently improving. These image time series are integral for developing systems that aim to prod
Externí odkaz:
http://arxiv.org/abs/2204.08461
In 2016, United Kingdom (UK) citizens voted to leave the European Union (EU), which was officially implemented in 2020. During this period, UK residents experienced a great deal of uncertainty around the UK's continued relationship with the EU. Many
Externí odkaz:
http://arxiv.org/abs/2102.00912