AIMC Topic: Geology

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A model based on Bayesian confirmation and machine learning algorithms to aid archaeological interpretation by integrating incompatible data.

PloS one Mar 31, 2021
The interpretation of archaeological features often requires a combined methodological approach in order to make the most of the material record, particularly from sites where this may be limited. In practice, this requires the consultation of differ...
Machine Learning Algorithms Soil Bayes Theorem Plants Geology Archaeology
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A comparison of fuzzy logic and TOPSIS methods for landfill site selection according to field visits, engineering geology approach and geotechnical experiments (case study: Rudbar County, Iran).

Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA Sep 16, 2020
The present study evaluated and selected the best location among susceptible landfill sites in Rudbar County using 27 criteria, as the maximum effective criteria, in the decision-making process. The emergence and comparison between the two methods of...
Fuzzy Logic Iran Geology Refuse Disposal Waste Disposal Facilities
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The deformation monitoring of foundation pit by back propagation neural network and genetic algorithm and its application in geotechnical engineering.

PloS one Jul 1, 2020
The objective is to improve the prediction accuracy of foundation pit deformation in geotechnical engineering, thereby provide early warning for engineering practice. The digital close-range photogrammetry is used to obtain monitoring data. The error...
Neural Networks, Computer Engineering Genetics Geology
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A bioavailable strontium isoscape for Western Europe: A machine learning approach.

PloS one May 30, 2018
Strontium isotope ratios (87Sr/86Sr) are gaining considerable interest as a geolocation tool and are now widely applied in archaeology, ecology, and forensic research. However, their application for provenance requires the development of baseline mod...
Machine Learning Algorithms Environmental Monitoring Europe Regression Analysis Linear Models Climate Geography Atmosphere Geology Strontium Isotopes
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Assessment of groundwater vulnerability using supervised committee to combine fuzzy logic models.

Environmental science and pollution research international Feb 13, 2017
Vulnerability indices of an aquifer assessed by different fuzzy logic (FL) models often give rise to differing values with no theoretical or empirical basis to establish a validated baseline or to develop a comparison basis between the modeling resul...
Neural Networks, Computer Models, Theoretical Groundwater Fuzzy Logic Water Pollution Iran Nitrates Hydrology Geology
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GIS-based groundwater potential mapping using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran.

Environmental monitoring and assessment Dec 19, 2015
Groundwater is considered one of the most valuable fresh water resources. The main objective of this study was to produce groundwater spring potential maps in the Koohrang Watershed, Chaharmahal-e-Bakhtiari Province, Iran, using three machine learnin...
Machine Learning Geographic Information Systems ROC Curve Models, Theoretical Groundwater Environmental Monitoring Models, Statistical Decision Trees Iran Rivers Water Resources Geology
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