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The use of machine learning techniques for a predictive model of debris flows triggered by short intense rainfall
The Alpine region of Aosta Valley has an early warning system to issue hydrogeological alerts up to 36 h in advance based on the output of...
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Development of predictive optimization model for autonomous rotary drilling system using machine learning approach
The growing global energy demand and strict environmental policies motivate the use of technology and performance improvement techniques in drilling...
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An assessment of multi-criteria predictive model for alluvial sapphire exploration in Belel and environs, Adamawa Yadé-domain, northern Cameroon
Regional scale mineral resource exploration is best accomplished through the use of Remote Sensing (RS) and Geographic Information System (GIS)...
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Predictive machine learning for gully susceptibility modeling with geo-environmental covariates: main drivers, model performance, and computational efficiency
Currently, machine learning (ML) based gully susceptibility prediction is a rapidly expanding research area. However, when assessing the predictive...
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A Predictive Model for Tight Oil Production Capacity Based on Weighted Clustering and XGBoost
Horizontal well volume fracturing is an important technique for the development of tight oil reservoirs. Accurately predicting post-fracturing...
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Development of predictive model for the fixed-bed column reactor
The present study aims at development of a mathematical model for the fixed-bed column adsorption that relates the reactor parameters with the...
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A predictive model incorporating geomorphic factors for assessing the longevity of landslide-dammed lakes
Secondary sediment disasters caused by the failure of landslide-dammed lakes are often more severe than the primary landslide events, resulting in...
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Environmental, climatic, and situational factors influencing the probability of fatality or injury occurrence in flash flooding: a rare event logistic regression predictive model
Flash flooding is considered one of the most lethal natural hazards in the USA as measured by the ratio of fatalities to people affected. However,...
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Ground motion duration predictive models applicable for the Himalayan region
Several empirical models for the prediction of ground motion duration were developed across the world, but no model has been generated for the...
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Environmental Variables in Predictive Soil Map**: A Review
AbstractIn the well-known conceptual model SCORPAN, a given soil property is considered as dependent on the following environmental factors: soil,...
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A diatom-based predictive model for inferring past conductivity in Chadian Sahara lakes
For decades, diatoms have been recognized as powerful bio-indicators of modern water quality. They have also been utilized in the design of transfer...
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Evaluation and Development of a Predictive Model for Geophysical Well Log Data Analysis and Reservoir Characterization: Machine Learning Applications to Lithology Prediction
This work critically evaluated the applicability of machine learning methodology applied to automated well log creation towards reliable lithology...
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A Predictive Model of Seasonal Clothing Demand with Weather Factors
New normal weather, more significant variations in temperature and precipitation, and more extreme weather events have resulted in sluggish sales in...
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Predictive Modeling of Canadian Carbonatite-Hosted REE +/− Nb Deposits
Carbonatites are the primary geological sources for rare earth elements (REEs) and niobium (Nb). This study applies machine learning techniques to...
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Predictive Maintenance Strategies for Oil and Gas Facilities Using AI-Based Vibration Monitoring
In industries such as oil and gas, the effective maintenance of facilities is of paramount importance to ensure uninterrupted operations, minimize...
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Cluster Analysis and Predictive Modeling of Urban Water Distribution System Leaks with Socioeconomic and Engineering Factors
Water distribution network (WDN) failures can disrupt operations and cause economic damage. Although leakage has been widely discussed, few studies...
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Managing Seismic Risk Associated to Development Blasting Using Random Forests Predictive Models Based on Geologic and Structural Rockmass Properties
As mining activities are expected to develop at greater depths, seismic responses to the blasting of development drift segments are expected to...
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Impact of climate change on himalayan water resources: a predictive model for glacier surface melt assessment
In the inaccessible glaciated areas, measuring the melt of Himalayan glacier is a rigorous task. In this context, an empirical model (enhanced...
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Robust Machine Learning Predictive Models for Real-Time Determination of Confined Compressive Strength of Rock Using Mudlogging Data
Mud logging data, which quantify the energy expended in rock breaking during drilling, are routinely acquired during drilling. These data offer a...
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Predictive model of regional coseismic landslides’ permanent displacement considering uncertainty
Coseismic landslides are common secondary earthquake geohazards in meizoseismal areas. Newmark sliding block permanent displacement method has been...
