Emrah Doğan

Machine learning for data-driven discovery in solid Earth geoscience

Feasibility of ICA in approximating ground vibration resulting from mine blasting

Climate Change 2022 – Impacts, Adaptation and Vulnerability

Understanding Organic Nonpoint‐Source Pollution in Watersheds via Pollutant Indicators, Disinfection By‐Product Precursor Predictors, and Composition of Dissolved Organic Matter

Prediction of blast-produced ground vibration using particle swarm optimization

Treatment of a dye solution using photoelectro‐fenton process on the cathode containing carbon nanotubes under recirculation mode: Investigation of operational parameters and artificial neural network modeling

A review of groundwater in high mountain environments

Seismic features and automatic discrimination of deep and shallow induced-microearthquakes using neural network and logistic regression

Protocol for developing ANN models and its application to the assessment of the quality of the ANN model development process in drinking water quality modelling

Automatic classification of seismic events within a regional seismograph network

Decontamination of wastewaters containing synthetic organic dyes by electrochemical methods. An updated review

A Comprehensive Review on Water Quality Parameters Estimation Using Remote Sensing Techniques

Applying support vector regression to water quality modelling by remote sensing data

Application of real time recurrent neural network for detection of small natural earthquakes in Poland

Recent advances in artificial intelligence and machine learning for nonlinear relationship analysis and process control in drinking water treatment: A review

A new combination of artificial neural network and K-nearest neighbors models to predict blast-induced ground vibration and air-overpressure

Prediction of Ionic Cr (VI) Extraction Efficiency in Flat Sheet Supported Liquid Membrane Using Artificial Neural Networks (ANNs)

Clustering seismic activities using linear and nonlinear discriminant analysis

Modeling biological oxygen demand of the Melen River in Turkey using an artificial neural network technique

Application of <i>k</i>-means and Gaussian mixture model for classification of seismic activities in Istanbul

An unsupervised learning algorithm: application to the discrimination of seismic events and quarry blasts in the vicinity of Istanbul

Application of artificial neural networks to estimate wastewater treatment plant inlet biochemical oxygen demand

From flumes to rivers: Can sediment transport in natural alluvial channels be predicted from observations at the laboratory scale?