AIMC Topic: Rivers

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Global prediction of extreme floods in ungauged watersheds.

Nature Mar 20, 2024
Floods are one of the most common natural disasters, with a disproportionate impact in developing countries that often lack dense streamflow gauge networks. Accurate and timely warnings are critical for mitigating flood risks, but hydrological simula...
Reproducibility of Results Time Factors Forecasting Computer Simulation Disaster Planning Floods Hydrology Rivers Calibration Artificial Intelligence
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Application of Convolutional Neural Network for Decoding of 12-Lead Electrocardiogram from a Frequency-Modulated Audio Stream (Sonified ECG).

Sensors (Basel, Switzerland) Mar 15, 2024
Research of novel biosignal modalities with application to remote patient monitoring is a subject of state-of-the-art developments. This study is focused on sonified ECG modality, which can be transmitted as an acoustic wave and received by GSM (Glob...
Aged Electrocardiography Algorithms Rivers Signal Processing, Computer-Assisted Humans Reproducibility of Results Neural Networks, Computer
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Comparing ARIMA and various deep learning models for long-term water quality index forecasting in Dez River, Iran.

Environmental science and pollution research international Feb 14, 2024
Water scarcity poses a significant global challenge, particularly in developing nations like Iran. Consequently, there is a pressing requirement for ongoing monitoring and prediction of water quality, utilizing advanced techniques characterized by lo...
Forecasting Iran Water Quality Rivers Deep Learning Environmental Monitoring
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Integrating conceptual and machine learning models to enhance daily-Scale streamflow simulation and assessing climate change impact in the watersheds of the Godavari basin, India.

Environmental research Feb 14, 2024
This study examined and addressed climate change's effects on hydrological patterns, particularly in critical places like the Godavari River basin. This study used daily gridded rainfall and temperature datasets from the Indian Meteorological Departm...
Hydrology Rain Water Movements Models, Theoretical Environmental Monitoring Temperature India Machine Learning Rivers Climate Change
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>Water quality prediction of artificial intelligence model: a case of Huaihe River Basin, China.

Environmental science and pollution research international Jan 26, 2024
Accurate prediction of water quality contributes to the intelligent management of water resources. Water quality indices have time series characteristics and nonlinearity, but the existing models only focus on the forward time series when long short-...
Rivers China Nitrogen Water Quality Artificial Intelligence
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Machine learning predicts which rivers, streams, and wetlands the Clean Water Act regulates.

Science (New York, N.Y.) Jan 25, 2024
We assess which waters the Clean Water Act protects and how Supreme Court and White House rules change this regulation. We train a deep learning model using aerial imagery and geophysical data to predict 150,000 jurisdictional determinations from the...
Rivers Drinking Water Conservation of Natural Resources Wetlands Water Pollution Water Quality Machine Learning
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Using explainable machine learning methods to evaluate vulnerability and restoration potential of ecosystem state transitions.

Conservation biology : the journal of the Society for Conservation Biology Jan 18, 2024
Ecosystem state transitions can be ecologically devastating or be a restoration success. State transitions are common within aquatic systems worldwide, especially considering human-mediated changes to land use and water use. We created a transferable...
Ecosystem Conservation of Natural Resources Rivers Machine Learning
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Fuzzy logic as a novel approach to predict biological condition gradient of various streams in Ceyhan River Basin (Turkey).

The Science of the total environment Jan 12, 2024
Creating a method to categorize the ecological status of streams according to their biological conditions and establishing scientifically defensible nutrient criteria to protect their biotic integrity poses significant challenges. Biomonitoring of le...
Rivers Diatoms Environmental Monitoring Seasons Fuzzy Logic Turkey
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Identification of pollution source and prediction of water quality based on deep learning techniques.

Journal of contaminant hydrology Dec 23, 2023
Semi-arid rivers are particularly vulnerable and responsive to the impacts of industrial contamination. Prompt identification and projection of pollutant dynamics are crucial in the accidental pollution incidents, therefore required the timely inform...
Rivers Nitrogen Environmental Monitoring Ammonia Phosphorus Water Pollution Water Pollutants, Chemical Water Quality Deep Learning China
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SCA-Former: transformer-like network based on stream-cross attention for medical image segmentation.

Physics in medicine and biology Dec 8, 2023
. Deep convolutional neural networks (CNNs) have been widely applied in medical image analysis and achieved satisfactory performances. While most CNN-based methods exhibit strong feature representation capabilities, they face challenges in encoding l...
Neural Networks, Computer Image Processing, Computer-Assisted Rivers
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