Related references
Note: Only part of the references are listed.Forecasting tunnel geology, construction time and costs using machine learning methods
Arsalan Mahmoodzadeh et al.
NEURAL COMPUTING & APPLICATIONS (2021)
Forecasting sidewall displacement of underground caverns using machine learning techniques
Arsalan Mahmoodzadeh et al.
AUTOMATION IN CONSTRUCTION (2021)
Dynamic reduction of time and cost uncertainties in tunneling projects
Arsalan Mahmoodzadeh et al.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2021)
Predicting construction time and cost of tunnels using Markov chain model considering opinions of experts
Arsalan Mahmoodzadeh et al.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2021)
Artificial intelligence forecasting models of uniaxial compressive strength
Arsalan Mahmoodzadeh et al.
TRANSPORTATION GEOTECHNICS (2021)
Dynamic prediction models of rock quality designation in tunneling projects
Arsalan Mahmoodzadeh et al.
TRANSPORTATION GEOTECHNICS (2021)
Presenting the best prediction model of water inflow into drill and blast tunnels among several machine learning techniques
Arsalan Mahmoodzadeh et al.
AUTOMATION IN CONSTRUCTION (2021)
Machine learning forecasting models of disc cutters life of tunnel boring machine
Arsalan Mahmoodzadeh et al.
AUTOMATION IN CONSTRUCTION (2021)
Decision-making in tunneling using artificial intelligence tools
Arsalan Mahmoodzadeh et al.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2020)
Forecasting maximum surface settlement caused by urban tunneling
Arsalan Mahmoodzadeh et al.
AUTOMATION IN CONSTRUCTION (2020)
Updating ground conditions and time-cost scatter-gram in tunnels during excavation
Arsalan Mahmoodzadeh et al.
AUTOMATION IN CONSTRUCTION (2019)
Slope stability prediction for circular mode failure using gradient boosting machine approach based on an updated database of case histories
Jian Zhou et al.
SAFETY SCIENCE (2019)
Prediction of Slope Stability using Naive Bayes Classifier
Xianda Feng et al.
KSCE JOURNAL OF CIVIL ENGINEERING (2018)
Prediction of Slope Stability Using Four Supervised Learning Methods
Yun Lin et al.
IEEE ACCESS (2018)
A PSO-ANN hybrid model for predicting factor of safety of slope
S. Rukhaiyar et al.
INTERNATIONAL JOURNAL OF GEOTECHNICAL ENGINEERING (2018)
Prediction of seismic slope stability through combination of particle swarm optimization and neural network
Behrouz Gordan et al.
ENGINEERING WITH COMPUTERS (2016)
Landslide susceptibility mapping using random forest, boosted regression tree, classification and regression tree, and general linear models and comparison of their performance at Wadi Tayyah Basin, Asir Region, Saudi Arabia
Ahmed Mohamed Youssef et al.
LANDSLIDES (2016)
Slope Based Intelligent 3D Disaster Simulation Using Physics Engine
Joo-Chang Kim et al.
WIRELESS PERSONAL COMMUNICATIONS (2016)
Hybrid artificial intelligence approach based on metaheuristic and machine learning for slope stability assessment: A multinational data analysis
Nhat-Duc Hoang et al.
EXPERT SYSTEMS WITH APPLICATIONS (2016)
Classification of Rockburst in Underground Projects: Comparison of Ten Supervised Learning Methods
Jian Zhou et al.
JOURNAL OF COMPUTING IN CIVIL ENGINEERING (2016)
Slope stability analysis using artificial intelligence techniques
Shakti Suman et al.
NATURAL HAZARDS (2016)
Probabilistic prediction of expected ground condition and construction time and costs in road tunnels
A. Mahmoodzadeh et al.
JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING (2016)
In situ monitoring of the groundwater field in an unsaturated pyroclastic slope for slope stability evaluation
Marianna Pirone et al.
LANDSLIDES (2015)
Indirect estimation of unconfined compressive strength of carbonate rocks using extreme learning machine
Zaobao Liu et al.
ACTA GEOTECHNICA (2015)
Development of a model for analysis of slope stability for circular mode failure using genetic algorithm
Amin Manouchehrian et al.
ENVIRONMENTAL EARTH SCIENCES (2014)
Integration of a limit-equilibrium model into a landslide early warning system
Benni Thiebes et al.
LANDSLIDES (2014)
An extreme learning machine approach for slope stability evaluation and prediction
Zaobao Liu et al.
NATURAL HAZARDS (2014)
Development of an adaptive relevance vector machine approach for slope stability inference
Zongfeng Zhang et al.
NEURAL COMPUTING & APPLICATIONS (2014)
Application of a support vector machine for prediction of slope stability
Xue XinHua et al.
SCIENCE CHINA-TECHNOLOGICAL SCIENCES (2014)
The prediction of the critical factor of safety of homogeneous finite slopes using neural networks and multiple regressions
Yusuf Erzin et al.
COMPUTERS & GEOSCIENCES (2013)
A WebGIS decision-support system for slope stability based on limit-equilibrium modelling
Benni Thiebes et al.
ENGINEERING GEOLOGY (2013)
Slope reliability analysis by updated support vector machine and Monte Carlo simulation
Shaojun Li et al.
NATURAL HAZARDS (2013)
A new hybrid algorithm for global optimization and slope stability evaluation
Taha Mohd Raihan et al.
JOURNAL OF CENTRAL SOUTH UNIVERSITY (2013)
Estimation of Elasticity of Porous Rock Based on Mineral Composition and Microstructure
Zaobao Liu et al.
ADVANCES IN MATERIALS SCIENCE AND ENGINEERING (2013)
A numerical simulation of landslide-prone slope in Himalayan region-a case study
Kripamoy Sarkar et al.
ARABIAN JOURNAL OF GEOSCIENCES (2012)
A modified gravitational search algorithm for slope stability analysis
Mohammad Khajehzadeh et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2012)
Relevance vector machine applied to slope stability analysis
Hongbo Zhao et al.
INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS (2012)
Study of base friction simulation tests based on a complicated engineered bridge slope
Liu He et al.
FRONTIERS OF STRUCTURAL AND CIVIL ENGINEERING (2012)
Slope reliability analysis using a support vector machine
Hong-bo Zhao
COMPUTERS AND GEOTECHNICS (2008)
Slope stability analysis: a support vector machine approach
Pijush Samui
ENVIRONMENTAL GEOLOGY (2008)
Slope stability evaluation using back propagation neural networks
HB Wang et al.
ENGINEERING GEOLOGY (2005)
A study of slope stability prediction using neural networks
M. Sakellariou et al.
GEOTECHNICAL AND GEOLOGICAL ENGINEERING (2005)
Artificial neural networks and Grey Systems for the prediction of slope stability
P Lu et al.
NATURAL HAZARDS (2003)
Stability assessment and slope design at Sandsloot open pit, South Africa
AR Bye et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2001)
Factors of safety and reliability in geotechnical engineering
JM Duncan
JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING (2000)
Share Paper
