Application of artificial neural networks to predict the heavy metal contamination in the Bartin River

Changes in heavy metal accumulation in some edible landscape plants depending on traffic density

(2020) Hakan Sevik et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

The possibility of using Scots pine needles as biomonitor in determination of heavy metal accumulation

(2020) Houriyah Ateeyah Alwizri Alaqouri et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Ca, Cu, and Li in washed and unwashed specimens of needles, bark, and branches of the blue spruce (Picea pungens) in the city of Ankara

(2020) Mehmet Cetin et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Load mitigation of a class of 5-MW wind turbine with RBF neural network based fractional-order PID controller

(2019) A. Asgharnia et al.   ISA TRANSACTIONS

Advanced Evaluation Methodology for Water Quality Assessment Using Artificial Neural Network Approach

(2019) Sandeep Bansal et al.   WATER RESOURCES MANAGEMENT

Determining toxic metal concentration changes in landscaping plants based on some factors

(2019) Hakan Sevik et al.   Air Quality Atmosphere and Health

A Method of Barkhausen Noise Feature Extraction Based on an Adaptive Threshold

(2019) Hang et al.   Applied Sciences-Basel

Base alteration of some heavy metal concentrations on local and seasonal in Bartin River

(2019) Handan Ucun Ozel et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Time-delay estimation based computed torque control with robust adaptive RBF neural network compensator for a rehabilitation exoskeleton

(2019) Shuaishuai Han et al.   ISA TRANSACTIONS

The effect of urban planning on urban formations determining bioclimatic comfort area’s effect using satellitia imagines on air quality: a case study of Bursa city

(2019) Mehmet Cetin   Air Quality Atmosphere and Health

Evaluation of thermal climatic region areas in terms of building density in urban management and planning for Burdur, Turkey

(2019) Mehmet Cetin et al.   Air Quality Atmosphere and Health

Determination of Pb and Mg accumulation in some of the landscape plants in shrub forms

(2019) Hakan Sevik et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

The Usability of Scotch Pine (Pinus sylvestris) as a Biomonitor for Traffic-Originated Heavy Metal Concentrations in Turkey

(2019) Burak Aricak et al.   POLISH JOURNAL OF ENVIRONMENTAL STUDIES

Analyzing of usability of tree-rings as biomonitors for monitoring heavy metal accumulation in the atmosphere in urban area: a case study of cedar tree (Cedrus sp.)

(2019) Hakan Sevik et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Simulating heavy metal concentrations in an aquatic environment using artificial intelligence models and physicochemical indexes

(2019) Hao Lu et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Forecasting mining capital cost for open-pit mining projects based on artificial neural network approach

(2019) Hongquan Guo et al.   RESOURCES POLICY

Exergetic performance prediction of solar air heater using MLP, GRNN and RBF models of artificial neural network technique

(2018) Harish Kumar Ghritlahre et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Applicability of a processes-based model and artificial neural networks to estimate the concentration of major ions in rivers

(2018) Clemêncio Nhantumbo et al.   JOURNAL OF GEOCHEMICAL EXPLORATION

The use of perennial needles as biomonitors for recently accumulated heavy metals

(2018) Aydin Turkyilmaz et al.   Landscape and Ecological Engineering

Changes in Heavy Metal Accumulation Depending on Traffic Density in Some Landscape Plants

(2018) Aydin Turkyilmaz et al.   POLISH JOURNAL OF ENVIRONMENTAL STUDIES

Prediction of solubility of N-alkanes in supercritical CO 2 using RBF-ANN and MLP-ANN

(2018) Mahdi Abdi-Khanghah et al.   Journal of CO2 Utilization

HEAVY METALS CONTAMINATION LEVELS IN PROCESSED MEAT MARKETED IN ROMANIA

(2018) Gabriel Vasile Hoha et al.   Environmental Engineering and Management Journal

Improving one-dimensional pollution dispersion modeling in rivers using ANFIS and ANN-based GA optimized models

(2018) Akram Seifi et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Handling interpretability issues in ANFIS using rule base simplification and constrained learning

(2018) Sharifa Rajab   FUZZY SETS AND SYSTEMS

Determination of changes in heavy metal accumulation depending on plant species, plant organism, and traffic density in some landscape plants

(2018) Hakan Sevik et al.   Air Quality Atmosphere and Health

QSPR estimation models of normal boiling point and relative liquid density of pure hydrocarbons using MLR and MLP-ANN methods

(2018) Mohamed Roubehie Fissa et al.   JOURNAL OF MOLECULAR GRAPHICS & MODELLING

Interrelationship between geochemical elements of sediment and groundwater at Samrak Park Delta of Nakdong River Basin in Korea: multivariate statistical analyses and artificial neural network approaches

(2017) S. Venkatramanan et al.   Environmental Earth Sciences

RBFNN-based model for heavy metal prediction for different climatic and pollution conditions

(2016) Adnan Elzwayie et al.   NEURAL COMPUTING & APPLICATIONS

Prediction of the Level of Air Pollution Using Principal Component Analysis and Artificial Neural Network Techniques: a Case Study in Malaysia

(2014) Azman Azid et al.   WATER AIR AND SOIL POLLUTION

Modelling of dissolved oxygen content using artificial neural networks: Danube River, North Serbia, case study

(2013) Davor Antanasijević et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Predicting hourly air pollutant levels using artificial neural networks coupled with uncertainty analysis by Monte Carlo simulations

(2013) Mohammad Arhami et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Performance of ANFIS versus MLP-NN dissolved oxygen prediction models in water quality monitoring

(2013) A. Najah et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Prediction of heavy metals in acid mine drainage using artificial neural network from the Shur River of the Sarcheshmeh porphyry copper mine, Southeast Iran

(2011) R. Rooki et al.   Environmental Earth Sciences

Multiple regression, ANN (RBF, MLP) and ANFIS models for prediction of swell potential of clayey soils

(2010) Işık Yilmaz et al.   EXPERT SYSTEMS WITH APPLICATIONS

Artificial neural network modeling of the river water quality—A case study

(2009) Kunwar P. Singh et al.   ECOLOGICAL MODELLING