Articles with "flow data" as a keyword



Operationalizing the allocation of environmental flows: A U.K. perspective on Baxter's Schedule

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Published in 2019 at "River Research and Applications"

DOI: 10.1002/rra.3531

Abstract: Early attempts to gauge streams were used by George Baxter in 1961 to propose a pioneering scheme for deriving and allocating water for what today may be recognized as environmental flows in the United Kingdom,… read more here.

Keywords: water; environmental flows; water resources; allocation ... See more keywords

Quantification of respiratory effort magnitude in spontaneous breathing patients using Convolutional Autoencoders

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Published in 2022 at "Computer methods and programs in biomedicine"

DOI: 10.1016/j.cmpb.2021.106601

Abstract: BACKGROUND Spontaneous breathing (SB) effort during mechanical ventilation (MV) is an important metric of respiratory drive. However, SB effort varies due to a variety of factors, including evolving pathology and sedation levels. Therefore, assessment of… read more here.

Keywords: cae model; effort; spontaneous breathing; flow ... See more keywords
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The Case of the Missing Lunar Heat Flow Data Is Finally Solved

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Published in 2018 at "Eos"

DOI: 10.1029/2018eo100237

Abstract: Decades-old data analyzed for the first time suggest that astronauts’ disturbance of the Moon surface increased solar heat intake, warming the ground below. read more here.

Keywords: lunar heat; case missing; missing lunar; heat ... See more keywords

High-resolution traffic flow data from the urban traffic control system in Glasgow

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Published in 2025 at "Scientific Data"

DOI: 10.1038/s41597-025-04494-y

Abstract: Traffic flow data has been used in various disciplines, including geography, transportation, urban planning, and public health. However, existing datasets often have limitations such as low spatiotemporal resolution and inconsistent quality due to data collection… read more here.

Keywords: traffic flow; high resolution; traffic; flow data ... See more keywords

A multi-hierarchical method to extract spatial network structures from large-scale origin-destination flow data

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Published in 2024 at "International Journal of Geographical Information Science"

DOI: 10.1080/13658816.2023.2301305

Abstract: Abstract Extracting spatial network structure (SNS) from large-scale origin-destination flow data is an important approach for understanding interregional association patterns and interaction laws. Currently, the extraction of SNS primarily relies on complex network clustering or… read more here.

Keywords: flow data; destination flow; origin destination; network ... See more keywords

Hydrologic characteristics of freshwater mussel habitat: novel insights from modeled flows

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Published in 2018 at "Freshwater Science"

DOI: 10.1086/697947

Abstract: The ability to model freshwater stream habitat and species distributions is limited by the spatially sparse flow data available from long-term gauging stations. Flow data beyond the immediate vicinity of gauging stations would enhance our… read more here.

Keywords: hydrologic characteristics; habitat; hydrology; freshwater mussel ... See more keywords

A Stepwise Spatio-Temporal Flow Clustering Method for Discovering Mobility Trends

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Published in 2018 at "IEEE Access"

DOI: 10.1109/access.2018.2864662

Abstract: Massive flows that represent the individual level of movements and communications can be easily obtained in the age of big data. Generalizing spatial and temporal flow patterns from such data is essential to demonstrate spatial… read more here.

Keywords: temporal flow; flow clustering; spatio temporal; mobility trends ... See more keywords

A Traffic Flow Data Quality Repair Model Based on Spatiotemporal Correlation

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Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3439998

Abstract: To address the data quality issues caused by environmental changes and other factors, this paper proposes a method for repairing missing traffic flow data from loop detectors, leveraging the spatiotemporal characteristics of traffic flow. Then,… read more here.

Keywords: flow data; data quality; traffic flow; model ... See more keywords

A Hybrid Data-Driven Framework for Spatiotemporal Traffic Flow Data Imputation

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Published in 2022 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2022.3151238

Abstract: An accurate estimation of missing data in traffic flow is crucial in urban planning, intelligent transportation, economic geography, and other fields. Thus, improving the data quality of traffic flow is a necessary step in data… read more here.

Keywords: flow data; missing data; traffic; data driven ... See more keywords

Expressway Traffic Flow Missing Data Repair Method Based on Coupled Matrix-Tensor Factorizations

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Published in 2021 at "Mathematical Problems in Engineering"

DOI: 10.1155/2021/2919073

Abstract: Traffic flow data is the basis of traffic management, planning, control, and other forms of implementation. Once missing, it will directly affect the monitoring and prediction of expressway traffic status. Regarding this, this paper proposes… read more here.

Keywords: traffic; expressway traffic; traffic flow; missing data ... See more keywords
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Deriving fine-scale models of human mobility from aggregated origin-destination flow data

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Published in 2021 at "PLoS Computational Biology"

DOI: 10.1371/journal.pcbi.1008588

Abstract: The spatial dynamics of epidemics are fundamentally affected by patterns of human mobility. Mobile phone call detail records (CDRs) are a rich source of mobility data, and allow semi-mechanistic models of movement to be parameterised… read more here.

Keywords: mobility; fine scale; model; origin destination ... See more keywords