AIMC Topic: Hydrocarbons

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Development of a method for detecting and classifying hydrocarbon-contaminated soils via laser-induced breakdown spectroscopy and machine learning algorithms.

Environmental science and pollution research international Feb 5, 2025
In recent years, there has been a significant increase in oil exploration and exploitation activities, resulting in spills that pose a severe threat to the environment and public health. The present work aims to develop a method to detect and classif...
Environmental Monitoring Principal Component Analysis Algorithms Soil Spectrum Analysis Lasers Hydrocarbons Discriminant Analysis Soil Pollutants Machine Learning
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Image recognition technology for bituminous concrete reservoir panel cracks based on deep learning.

PloS one Feb 4, 2025
Detecting cracks in asphalt concrete slabs is challenging due to environmental factors like lighting changes, surface reflections, and weather conditions, which affect image quality and crack detection accuracy. This study introduces a novel deep lea...
Algorithms Construction Materials Hydrocarbons Deep Learning Image Processing, Computer-Assisted
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A spatial interpolation method based on 3D-CNN for soil petroleum hydrocarbon pollution.

PloS one Jan 24, 2025
Petroleum hydrocarbon pollution causes significant damage to soil, so accurate prediction and early intervention are crucial for sustainable soil management. However, traditional soil analysis methods often rely on statistical methods, which means th...
Neural Networks, Computer Soil Pollutants Hydrocarbons Petroleum Pollution Machine Learning Environmental Monitoring Petroleum Soil Support Vector Machine
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New strategy to optimize in-situ fenton oxidation for TPH contaminated soil remediation via artificial neural network approach.

Chemosphere Jul 3, 2024
In-situ remediation of total petroleum hydrocarbon (TPH) contaminated soils via Fenton oxidation is a promising approach. However, determining the proper injection amount of HO and Fe source over the Fenton reaction in the complex geological conditio...
Petroleum Iron Hydrocarbons Hydrogen Peroxide Oxidation-Reduction Soil Pollutants Environmental Restoration and Remediation Neural Networks, Computer Soil
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Improved U-net network asphalt pavement crack detection method.

PloS one May 31, 2024
Road crack detection is one of the important parts of road safety detection. Aiming at the problems such as weak segmentation effect of basic U-Net on pavement crack, insufficient precision of crack contour segmentation, difficult to identify narrow ...
Hydrocarbons Algorithms Humans Construction Materials Neural Networks, Computer
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Predicting Hydrocarbon Primary Biodegradation in Soil and Sediment Systems Using System Parameterization and Machine Learning.

Environmental toxicology and chemistry Mar 28, 2024
Technical complexity associated with biodegradation testing, particularly for substances of unknown or variable composition, complex reaction products, or biological materials (UVCB), necessitates the advancement of non-testing methods such as quanti...
Hydrocarbons Machine Learning Geologic Sediments Soil Pollutants Soil Biodegradation, Environmental
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Physics-guided neural network for predicting asphalt mixture rutting with balanced accuracy, stability and rationality.

Neural networks : the official journal of the International Neural Network Society Dec 27, 2023
The prediction of rutting performance of asphalt materials poses a significant challenge due to the intricate relationships between the rutting performance and its influencing factors. Machine learning models have gained popularity to address this ch...
Neural Networks, Computer Algorithms Hydrocarbons Physics
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Saline wastewater treatment by bioelectrochemical process (BEC) based on Al-electrocoagulation and halophilic bacteria: optimization using ANN with new approach.

Environmental technology Sep 4, 2023
In the present study, a bioelectrochemical reactor (BEC) was utilized to treat two types of real saline produced water (PW). BEC was designed based on the combination of electrocoagulation (EC) process with halophilic microorganisms, and it was asses...
Neural Networks, Computer Waste Disposal, Fluid Hydrocarbons Water Pollutants, Chemical Biological Oxygen Demand Analysis Bioreactors Wastewater Electrochemical Techniques Biodegradation, Environmental Bacteria
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Intelligent Diagnosis Based on Double-Optimized Artificial Hydrocarbon Networks for Mechanical Faults of In-Wheel Motor.

Sensors (Basel, Switzerland) Aug 22, 2022
To avoid the potential safety hazards of electric vehicles caused by the mechanical fault deterioration of the in-wheel motor (IWM), this paper proposes an intelligent diagnosis based on double-optimized artificial hydrocarbon networks (AHNs) to iden...
Electricity Humans Algorithms Intelligence Support Vector Machine Hydrocarbons
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Research on water seepage detection technology of tunnel asphalt pavement based on deep learning and digital image processing.

Scientific reports Jul 7, 2022
To improve the safety of road tunnel pavement, the research established road tunnel pavement water seepage recognition models based on deep learning technology, and a water seepage area extraction model based on image processing technology to finally...
Hydrocarbons Technology Water Deep Learning Image Processing, Computer-Assisted
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