Results 21 to 30 of about 11,701,413 (315)
Prediction of Daily Patient Numbers for a Regional Emergency Medical Center using Time Series Analysis [PDF]
Healthcare Informatics Research, 2010 ObjectivesTo develop and evaluate time series models to predict the daily number of patients visiting the Emergency Department (ED) of a Korean hospital.MethodsData were collected from the hospital information system database.
Hye Jin Kam, Jin Ok Sung, Rae Woong Park
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Frontiers in Environmental Science, 2021 Near-surface air (Ta) and land surface (Ts) temperatures are essential parameters for research in the fields of agriculture, hydrology, and ecological changes, which require accurate datasets with different temporal and spatial resolutions.
Yi Liu +4 more
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BMC Medical Research Methodology, 2003 Background Cross-sectional studies with binary outcomes analyzed by logistic regression are frequent in the epidemiological literature. However, the odds ratio can importantly overestimate the prevalence ratio, the measure of choice in these studies ...
Hirakata Vânia N, Barros Aluísio JD
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Data Driven Forecasting Models for Urban Air Pollution: MoreAir Case Study
IEEE Access, 2023 Artificial Intelligence has the potential to contribute to sustainable cities, life on land, and climate action. Specifically, data-driven AI models can analyze large, interconnected databases to develop joint environmental actions.
Safaa Berkani +4 more
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Adult-born granule cells improve stimulus encoding and discrimination in the dentate gyrus
eLife, 2023 Heterogeneity plays an important role in diversifying neural responses to support brain function. Adult neurogenesis provides the dentate gyrus with a heterogeneous population of granule cells (GCs) that were born and developed their properties at ...
Diego M Arribas +2 more
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Statistical DRAM modeling [PDF]
Proceedings of the International Symposium on Memory Systems, 2019 Cycle-accurate DRAM models are prevalent in today's computer architecture simulations. However, cycle-accurate models by design are time consuming and not scalable. In this paper, we present a statistical approach of DRAM latency modeling. Unlike previous works, our approach converts DRAM latency modeling into a classification problem and employ ...
Shang Li 0001, Bruce L. Jacob
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Analysis of Bus Service Reliability Using A VL Data: Case Study of the City of Koper
Promet (Zagreb), 2008 This article uses a statistical approach to examine the bussystem reliability in the city of Koper. Four statistical modelswere developed using OLS to explain the effect of different variableson system reliability.
Dejan Paliska, Jurij Kolenc
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Remote Sensing, 2019 Landslides are typically triggered by earthquakes or rainfall occasionally a rainfall event followed by an earthquake or vice versa. Yet, most of the works presented in the past decade have been largely focused at the single event-susceptibility model ...
Jie Dou +7 more
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Statistical models of fracture [PDF]
Advances in Physics, 2006 Disorder and long-range interactions are two of the key components that make material failure an interesting playfield for the application of statistical mechanics. The cornerstone in this respect has been lattice models of the fracture in which a network of elastic beams, bonds or electrical fuses with random failure thresholds are subject to an ...
Alava MJ, Nukalaz PKVV, Zapperi S
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PAACDA: Comprehensive Data Corruption Detection Algorithm
IEEE Access, 2023 With the advent of technology, data and its analysis are no longer just values and attributes strewn across spreadsheets, they are now seen as a stepping stone to bring about revolution in any significant field.
Charvi Bannur +4 more
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