AIMC Topic: Spatial Analysis

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Groundwater suitability assessment for irrigation and drinking purposes by integrating spatial analysis, machine learning, water quality index, and health risk model.

Environmental science and pollution research international May 29, 2024
An in-depth understanding of nitrate-contaminated surface water and groundwater quality and associated risks is important for groundwater management. Hydrochemical characteristics and driving forces of groundwater quality and non-carcinogenic risks o...
Humans Machine Learning Risk Assessment Spatial Analysis Drinking Water Agricultural Irrigation Groundwater Environmental Monitoring Water Pollutants, Chemical Nitrates Water Quality
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Exploring the Association Between Structural Racism and Mental Health: Geospatial and Machine Learning Analysis.

JMIR public health and surveillance May 3, 2024
BACKGROUND: Structural racism produces mental health disparities. While studies have examined the impact of individual factors such as poverty and education, the collective contribution of these elements, as manifestations of structural racism, has b...
Mental Health Male Middle Aged Female Adult Humans Machine Learning Spatial Analysis Racism Health Status Disparities Wisconsin Systemic Racism
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A comparative analysis of feature selection models for spatial analysis of floods using hybrid metaheuristic and machine learning models.

Environmental science and pollution research international Apr 29, 2024
The research aims to propose a feature selection model for hydraulic analysis as such a model has not been proposed previously. For this purpose, hybrids of three metaheuristic algorithms, particle swarm optimization (PSO), ant colony optimization (A...
Algorithms Models, Theoretical Support Vector Machine Machine Learning Spatial Analysis Floods
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Evaluating spatially enabled machine learning approaches to depth to bedrock mapping, Alberta, Canada.

PloS one Mar 27, 2024
Maps showing the thickness of sediments above the bedrock (depth to bedrock, or DTB) are important for many geoscience studies and are necessary for many hydrogeological, engineering, mining, and forestry applications. However, it can be difficult to...
Alberta Satellite Imagery Algorithms Spatial Analysis Machine Learning
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Spatiotemporal assessment of groundwater quality and quantity using geostatistical and ensemble artificial intelligence tools.

Journal of environmental management Mar 2, 2024
The study investigated the spatiotemporal relationship between surface hydrological variables and groundwater quality/quantity using geostatistical and AI tools. AI models were developed to estimate groundwater quality from ground-based measurements ...
Spatial Analysis Neural Networks, Computer Artificial Intelligence Environmental Monitoring Iran Groundwater
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Spatiotemporal characteristics of carbon emissions in Shaanxi, China, during 2012-2019: a machine learning method with multiple variables.

Environmental science and pollution research international Jul 10, 2023
Global warming attributed to the emission of greenhouse gases has caused unprecedented extreme weather events, such as excessive heatwave and rainfall, posing enormous threats to human life and sustainable development. China, as the toppest CO emitte...
Carbon Carbon Dioxide Temperature Humans Economic Development Spatial Analysis China Machine Learning Cities
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Applications of Bayesian Neural Networks in Outlier Detection.

Big data Jan 27, 2023
Anomaly detection is crucial in a variety of domains, such as fraud detection, disease diagnosis, and equipment defect detection. With the development of deep learning, anomaly detection with Bayesian neural networks (BNNs) becomes a novel research t...
Neural Networks, Computer Deep Learning Fraud Bayes Theorem Spatial Analysis
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A hybrid deep learning framework for air quality prediction with spatial autocorrelation during the COVID-19 pandemic.

Scientific reports Jan 18, 2023
China implemented a strict lockdown policy to prevent the spread of COVID-19 in the worst-affected regions, including Wuhan and Shanghai. This study aims to investigate impact of these lockdowns on air quality index (AQI) using a deep learning framew...
Air Pollutants Air Pollution Spatial Analysis Communicable Disease Control Particulate Matter China Cities Environmental Monitoring COVID-19 Deep Learning Humans Pandemics
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Hourly Water Level Forecasting in an Hydroelectric Basin Using Spatial Interpolation and Artificial Intelligence.

Sensors (Basel, Switzerland) Dec 25, 2022
In this work, a new hydroelectric basin modelling approach is described and applied to the Pontecosi basin, Italy. Several types of data sources were used to learn the model: a number of weather stations, satellite observations, the reanalysis datase...
Environmental Monitoring Weather Forecasting Neural Networks, Computer Spatial Analysis Artificial Intelligence Water
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Improved CNN-Based Indoor Localization by Using RGB Images and DBSCAN Algorithm.

Sensors (Basel, Switzerland) Dec 6, 2022
With the intense deployment of wireless systems and the widespread use of intelligent equipment, the requirement for indoor positioning services is increasing, and Wi-Fi fingerprinting has emerged as the most often used approach to identifying indoor...
Spatial Analysis Databases, Factual Cluster Analysis Neural Networks, Computer Algorithms
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