Predicting rock size distribution in mine blasting using various novel soft computing models based on meta-heuristics and machine learning algorithms

Different sampling strategies for predicting landslide susceptibilities are deemed less consequential with deep learning

(2020) Jie Dou et al.   SCIENCE OF THE TOTAL ENVIRONMENT

An improved moth-flame optimization algorithm for support vector machine prediction of photovoltaic power generation

(2020) Guo-Qian Lin et al.   JOURNAL OF CLEANER PRODUCTION

Prediction of slope failure in open-pit mines using a novel hybrid artificial intelligence model based on decision tree and evolution algorithm

(2020) Xuan-Nam Bui et al.   Scientific Reports

Evaluating and Predicting the Stability of Roadways in Tunnelling and Underground Space Using Artificial Neural Network-Based Particle Swarm Optimization

(2020) Xiliang Zhang et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

A fresh view on particle swarm optimization to develop a precise model for predicting rock fragmentation

(2019) Khosro Sayevand et al.   ENGINEERING COMPUTATIONS

Comparison between random forest and gradient boosting machine methods for predicting Listeria spp. prevalence in the environment of pastured poultry farms

(2019) Chase E. Golden et al.   FOOD RESEARCH INTERNATIONAL

A new soft computing model for estimating and controlling blast-produced ground vibration based on Hierarchical K-means clustering and Cubist algorithms

(2019) Hoang Nguyen et al.   APPLIED SOFT COMPUTING

Deep neural network architectures for social services diagnosis in smart cities

(2019) Emilio Serrano et al.   Future Generation Computer Systems-The International Journal of eScience

Improved landslide assessment using support vector machine with bagging, boosting, and stacking ensemble machine learning framework in a mountainous watershed, Japan

(2019) Jie Dou et al.   Landslides

Slope stability prediction for circular mode failure using gradient boosting machine approach based on an updated database of case histories

(2019) Jian Zhou et al.   SAFETY SCIENCE

Prediction of specific wear rate for LM25/ZrO2 composites using Levenberg–Marquardt backpropagation algorithm

(2019) Mathi Kannaiyan et al.   Journal of Materials Research and Technology-JMR&T

Predicting Blast-Induced Ground Vibration in Open-Pit Mines Using Vibration Sensors and Support Vector Regression-Based Optimization Algorithms

(2019) Hoang Nguyen et al.   SENSORS

A real time computer aided object detection of nasopharyngeal carcinoma using genetic algorithm and artificial neural network based on Haar feature fear

(2018) Mazin Abed Mohammed et al.   Future Generation Computer Systems-The International Journal of eScience

Gaussian Process Morphable Models

(2018) Marcel Luthi et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Assessing and controlling of bench blasting-induced vibrations to minimize impacts to a neighboring community

(2018) V.F. Navarro Torres et al.   JOURNAL OF CLEANER PRODUCTION

A novel method for carbon dioxide emission forecasting based on improved Gaussian processes regression

(2018) Debin Fang et al.   JOURNAL OF CLEANER PRODUCTION

A UAV Detection Algorithm Based on an Artificial Neural Network

(2018) Hao Zhang et al.   IEEE Access

Application of support vector machine models for forecasting solar and wind energy resources: A review

(2018) Alireza Zendehboudi et al.   JOURNAL OF CLEANER PRODUCTION

Chaos Firefly Algorithm With Self-Adaptation Mutation Mechanism for Solving Large-Scale Economic Dispatch With Valve-Point Effects and Multiple Fuel Options

(2018) Yude Yang et al.   IEEE Access

A Switch-Mode Firefly Algorithm for Global Optimization

(2018) Jian Huang et al.   IEEE Access

An improved firefly algorithm for the unrelated parallel machines scheduling problem with sequence-dependent setup times

(2018) Absalom E. Ezugwu et al.   IEEE Access

Optimization of flyrock and rock fragmentation in the Tajareh limestone mine using metaheuristics method of firefly algorithm

(2017) Parvin Faraji Asl et al.   ENGINEERING WITH COMPUTERS

Developing GPR model for forecasting the rock fragmentation in surface mines

(2017) Wei Gao et al.   ENGINEERING WITH COMPUTERS

Modeling the fragmentation of rock grains using computed tomography and combined FDEM

(2017) Gang Ma et al.   POWDER TECHNOLOGY

State-of-Health Estimation for Lithium-Ion Batteries Based on the Multi-Island Genetic Algorithm and the Gaussian Process Regression

(2017) Zhenpo Wang et al.   IEEE Access

Risk assessment and prediction of rock fragmentation produced by blasting operation: a rock engineering system

(2016) Mahdi Hasanipanah et al.   Environmental Earth Sciences

Hybrid artificial intelligence approach based on metaheuristic and machine learning for slope stability assessment: A multinational data analysis

(2016) Nhat-Duc Hoang et al.   EXPERT SYSTEMS WITH APPLICATIONS

The optimized artificial neural network model with Levenberg–Marquardt algorithm for global solar radiation estimation in Eastern Mediterranean Region of Turkey

(2016) Özgür Çelik et al.   JOURNAL OF CLEANER PRODUCTION

Classification of Rockburst in Underground Projects: Comparison of Ten Supervised Learning Methods

(2016) Jian Zhou et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Feasibility of PSO–ANFIS model to estimate rock fragmentation produced by mine blasting

(2016) Mahdi Hasanipanah et al.   NEURAL COMPUTING & APPLICATIONS

Application of fuzzy inference system for prediction of rock fragmentation induced by blasting

(2015) Samira Shams et al.   Arabian Journal of Geosciences

Prediction and optimization of back-break and rock fragmentation using an artificial neural network and a bee colony algorithm

(2015) Ebrahim Ebrahimi et al.   Bulletin of Engineering Geology and the Environment

Integration of sustainable development concepts in open pit mine design

(2015) Nabiollah Adibi et al.   JOURNAL OF CLEANER PRODUCTION

An integrated artificial neural network model for the landslide susceptibility assessment of Osado Island, Japan

(2015) Jie Dou et al.   NATURAL HAZARDS

Comparative performance of six supervised learning methods for the development of models of hard rock pillar stability prediction

(2015) Jian Zhou et al.   NATURAL HAZARDS

Steel plates fault diagnosis on the basis of support vector machines

(2015) Yang Tian et al.   NEUROCOMPUTING

Application of PCA, SVR, and ANFIS for modeling of rock fragmentation

(2014) Mohammad Esmaeili et al.   Arabian Journal of Geosciences

Reservoir oil viscosity determination using a rigorous approach

(2013) Abdolhossein Hemmati-Sarapardeh et al.   FUEL

A rock engineering systems based model to predict rock fragmentation by blasting

(2013) F. Faramarzi et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Comparison Between Neural Networks and Multiple Regression Analysis to Predict Rock Fragmentation in Open-Pit Mines

(2013) Iman Enayatollahi et al.   ROCK MECHANICS AND ROCK ENGINEERING

Occupancy Mapping and Surface Reconstruction Using Local Gaussian Processes With Kinect Sensors

(2013) Soohwan Kim et al.   IEEE Transactions on Cybernetics

A comprehensive review of firefly algorithms

(2013) Iztok Fister et al.   Swarm and Evolutionary Computation

Sobol’ sensitivity analysis of a complex environmental model

(2011) Jiri Nossent et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Long-term prediction model of rockburst in underground openings using heuristic algorithms and support vector machines

(2011) Jian Zhou et al.   SAFETY SCIENCE

Prediction of rock fragmentation due to blasting using artificial neural network

(2010) A. Bahrami et al.   ENGINEERING WITH COMPUTERS

Expensive Multiobjective Optimization by MOEA/D With Gaussian Process Model

(2009) Qingfu Zhang et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Prediction of rock fragmentation due to blasting in Gol-E-Gohar iron mine using fuzzy logic

(2009) M. Monjezi et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES