AIMC Topic: Coal

Clear Filters Showing 1 to 10 of 33 articles

Evaluation of factors associated with adult skeletal fluorosis in coal-burning type of endemic fluorosis and initial screening model based on machine learning in Guizhou, Southwest China.

Ecotoxicology and environmental safety Mar 11, 2025
Skeletal fluorosis caused by coal-burning type endemic fluorosis greatly affects the health of the population in the affected areas, but large-scale diagnostic work is limited by human and material resources, making it difficult to implement comprehe...
Male Middle Aged Female Adult Coal Endemic Diseases Fluorosis, Dental China Child Humans Machine Learning
View on PubMed DOI

Coal and gas outburst prediction based on data augmentation and neuroevolution.

PloS one Feb 20, 2025
Coal and gas outburst (CGO) is a complicated natural disaster in underground coal mine production. In constructing smart mines, predicting CGO risks efficiently and accurately is necessary. This paper proposes a CGO risk prediction method based on da...
Neural Networks, Computer Algorithms Coal Humans Coal Mining
View on PubMed DOI

Energy consumption forecasting for oil and coal in China based on hybrid deep learning.

PloS one Jan 6, 2025
The consumption forecasting of oil and coal can help governments optimize and adjust energy strategies to ensure energy security in China. However, such forecasting is extremely challenging because it is influenced by many complex and uncertain facto...
Coal Deep Learning China Oils Forecasting Petroleum
View on PubMed DOI

Co-firing characteristic prediction of solid waste and coal for supercritical CO power cycle based on CFD simulation and machine learning algorithm.

Waste management (New York, N.Y.) Sep 16, 2024
The co-firing technology of combustible solid waste (CSW) and coal in the supercritical CO (S-CO) circulating fluidized bed (CFB) can effectively deal with domestic waste, promote social and environmental benefits, improve the coal conversion rate, a...
Solid Waste Power Plants Coal Carbon Dioxide Refuse Disposal Machine Learning Algorithms Models, Theoretical Air Pollutants
View on PubMed DOI

Discrimination of coal geographical origins through HS-GC-IMS assisted with machine learning algorithms in larceny case.

Journal of chromatography. A Aug 30, 2024
The process of globalization and industrialization has resulted in a rise in the theft of coal and other related products, thereby becoming a focal point for forensic science. This situation has engendered an escalated demand for effective detection ...
Geography Ion Mobility Spectrometry Volatile Organic Compounds Forensic Sciences Machine Learning Coal Algorithms Gas Chromatography-Mass Spectrometry
View on PubMed DOI

Sustainable utilization of FeO-modified activated lignite for aqueous phosphate removal and ANN modeling.

Environmental research Jul 14, 2024
Lignites are widely available and cost-effective in many countries. Sustainable methods for their utilization drive innovation, potentially advancing environmental sustainability and resource efficiency. In the present study, FeO (∼25.1 nm) supported...
Neural Networks, Computer Water Purification Water Pollutants, Chemical Adsorption Phosphates Hydrogen-Ion Concentration Coal Ferric Compounds Kinetics
View on PubMed DOI

Modeling risk assessment of soil heavy metal pollution using partial least squares and fuzzy logic: A case study of a gully type coal-based solid waste dumpsite.

Environmental pollution (Barking, Essex : 1987) May 10, 2024
Continuous release and migration of heavy metals from coal-based solid waste (CSW) dumpsites often results in significant encroachment on ecological lands and pollution of natural environments. As a result, there is an urgent need for long-term and r...
Metals, Heavy Waste Disposal Facilities Coal Fuzzy Logic Solid Waste Soil Least-Squares Analysis Risk Assessment Soil Pollutants Environmental Monitoring
View on PubMed DOI

Land subsidence prediction in coal mining using machine learning models and optimization techniques.

Environmental science and pollution research international Apr 19, 2024
Land surface subsidence is an environmental hazard resulting from the extraction of underground resources. In underground mining, when mineral materials are extracted deep within the ground, the emptying or caving of the mined spaces leads to vertica...
Coal Mining Models, Theoretical Coal Machine Learning
View on PubMed DOI

Miner Fatigue Detection from Electroencephalogram-Based Relative Power Spectral Topography Using Convolutional Neural Network.

Sensors (Basel, Switzerland) Nov 9, 2023
Fatigue of miners is caused by intensive workloads, long working hours, and shift-work schedules. It is one of the major factors increasing the risk of safety problems and work mistakes. Examining the detection of miner fatigue is important because i...
Electroencephalography Workload Neural Networks, Computer Coal Machine Learning
View on PubMed DOI

Improved YOLOv7 Network Model for Gangue Selection Robot for Gangue and Foreign Matter Detection in Coal.

Sensors (Basel, Switzerland) May 28, 2023
Coal production often involves a substantial presence of gangue and foreign matter, which not only impacts the thermal properties of coal and but also leads to damage to transportation equipment. Selection robots for gangue removal have garnered atte...
Robotics Coal
View on PubMed DOI
Popular Topics
Recent Journals