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| Artificial neural networks for estimating regional arsenic concentrations in a blackfoot disease area in Taiwan | | Journal of hydrology |
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| Prediction of Optimal pH in Hydrolytic Reaction of Beta-glucosidase | | Applied biochemistry and biotechnology |
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| Impacts of climate change and human activities on surface runoff in the Dongjiang River basin of China | | Hydrological processes |
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| The assessment of spatial distribution of soil salinity risk using neural network | | Environmental monitoring and assessment |
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| Neural network modeling of end-over-end thermal processing of particulates in viscous fluids | | Journal of food process engineering |
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| Modeling of maximum dry density and optimum moisture content of stabilized soil using artificial neural networks | | Zeitschrift fur Pflanzenernahrung und Bodenkunde |
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| Construction of an integrated enzyme system consisting azoreductase and glucose 1-dehydrogenase for dye removal | | Bioresource technology |
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| Modeling discharge-suspended sediment relationship using least square support vector machine | | Journal of hydrology |
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| Estimation of Mean Annual Flood in Indian Catchments Using Backpropagation Neural Network and M5 Model Tree | | Water resources management |
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| Artificial Neural Network Modeling for Groundwater Level Forecasting in a River Island of Eastern India | | Water resources management |
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| Feasibility of conventional and Roundup Ready® soybeans discrimination by different near infrared reflectance technologies | | Food chemistry |
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| The uncertain nature of absences and their importance in species distribution modelling | | Ecography |
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| Application of ANN, Fuzzy Logic and Decision Tree Algorithms for the Development of Reservoir Operating Rules | | Water resources management |
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| Simulation and analysis of runoff from a partly glaciated meso-scale catchment area in Patagonia using an artificial neural network | | Hydrological processes |
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| Assessment of a 4-input artificial neural network for ETo estimation through data set scanning procedures | | Irrigation science |
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| Prediction of the Physicochemical Properties of Spray-Dried Black Mulberry (Morus nigra) Juice using Artificial Neural Networks | | Food and bioprocess technology |
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| Comparative study of conventional and artificial neural network-based ETo estimation models | | Irrigation science |
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| Using GA-Ridge regression to select hydro-geological parameters influencing groundwater pollution vulnerability | | Environmental monitoring and assessment |
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| Principal component analysis and neurocomputing-based models for total ozone concentration over different urban regions of India | | Theoretical and applied climatology |
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| Estimation of inside-bark diameter and heartwood diameter for Tectona grandis Linn. trees using artificial neural networks | | European journal of forest research |
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| Prediction of coliforms and Escherichia coli on tomato fruits and lettuce leaves after sanitizing by using Artificial Neural Networks | | Lebensmittel-Wissenschaft |
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| Application of artificial neural networks in the geographical identification of coffee samples | | European food research and technology |
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| ANN based inversion of DC resistivity data for groundwater exploration in hard rock terrain of western Maharashtra (India) | | Journal of hydrology |
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| Application of artificial neural network to prediction of cantonese soy sauce brewing and changing pattern concerning total nitrogen and α‐amino acid nitrogen | | Journal of food process engineering |
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| An ANN-based model for spatiotemporal groundwater level forecasting | | Hydrological processes |
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| Stage and Discharge Forecasting by SVM and ANN Techniques | | Water resources management |
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| The prediction of seedy grape drying rate using a neural network method | | Computers and electronics in agriculture |
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| Modeling inflow rates for the water exchange management in semi-intensive aquaculture ponds | | Aquacultural engineering |
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| Predicting copper concentrations in acid mine drainage: a comparative analysis of five machine learning techniques | | Environmental monitoring and assessment |
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| Estimation of Daily Pan Evaporation Using Two Different Adaptive Neuro-Fuzzy Computing Techniques | | Water resources management |
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| Use of Experimental Design and Artificial Neural Network in Optimization of Capillary Electrophoresis for the Determination of Nicotinic Acid and Nicotinamide in Food Compared with High-Performance Liquid Chromatography | | Food analytical methods |
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| Assessment of PM₁₀ Enhancement by Yellow Sand on the Air Quality of Taipei, Taiwan in 2001 | | Environmental monitoring and assessment |
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| Prediction of extensograph properties of wheat‐flour dough: artificial neural networks and a genetic algorithm approach | | Journal of texture studies |
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| Implementation of artificial neural networks (ANNs) to analysis of inter-taxa communities of benthic microorganisms and macroinvertebrates in a polluted stream | | Science of the total environment |
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| Prediction of seasonal variation of butters by computing the fatty acids composition with artificial neural networks | | European journal of lipid science and technology |
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| Identification of monofloral honey using voltammetric electronic tongue | | Journal of food engineering |
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| River Suspended Sediment Prediction Using Various Multilayer Perceptron Neural Network Training Algorithms—A Case Study in Malaysia | | Water resources management |
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| Discussion of ‘Reservoir Computing approach to Great Lakes water level forecasting’ by P. Coulibaly [J. Hydrol. 381(2010) 76–88] | | Journal of hydrology |
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| Predicting the drying kinetics of salted codfish (Gadus Morhua): semi-empirical, diffusive and neural network models | | International journal of food science and technology |
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| Estimation of lactation milk yield of Awassi sheep with Artificial Neural Network modeling | | Small ruminant research |
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