17 May 2024 Prediction of the effect of adsorption on the retention of organic compounds by NF/RO using QSPR-ANN by merarsi nechoua et al. View all Global NEST Journal
05 March 2024 Application of response surface methodology and neural networks in pyramid solar still for seawater desalination: An optimization and prediction strategy by Senthilkumar N et al. View all Global NEST Journal
13 January 2024 Predictive Modeling for Solar Desalination Using Artificial Neural Network Techniques: A Review by Vairavel Madeshwaren et al. View all Global NEST Journal
13 December 2023 Investigation on Tensile and Flexural Behaviour of Fibre Reinforced Concrete Using Artificial Neural Network by A.Dhanalakshmi et al. View all Global NEST Journal
24 September 2023 A deep learning model and optimization algorithm to forecasting Environment Monitoring of the Air pollution by R.Jayamala et al. View all Global NEST Journal
13 August 2023 Modeling and Estimation of Solar Radiation through Artificial Neural Network using known Solar Data by Naeem Sadiq et al. View all Global NEST Journal
26 March 2023 A Novel Hybrid IOT Based Artificial Intelligence Algorithm for Toxicity Prediction In The Environment And Its Effect On Human Health by Vineet Tirth et al. View all Global NEST Journal
24 February 2023 Research on the design of green and low-carbon food packaging based on artificial intelligence technology by Yanyan Dai et al. View all Global NEST Journal
25 November 2022 Water Desalination Plant Fault Detection using Artificial Neural Network by Maris Murugan T et al. View all Global NEST Journal
27 September 2022 Artificial Neural Network and Weighted Arithmetic Indexing Approach for Surface Water Quality Assessment of the Brahmani River by Madhusmita Ghadai et al. View all Global NEST Journal
30 October 2021 New Regression models for Estimation daily temperature of Karachi and its Neural Network analysis by adeel.tahir@fuuast.edu.pk et al. View all Global NEST Journal
18 June 2020 Air pollution as a result of the development of motorization by mzabochnicka@is.pcz.czest.pl et al. View all Global NEST Journal
22 May 2018 Forecasting PM10 levels using ANN and MLR: A case study for Sakarya City by Zeynep Ceylan et al. View all Global NEST Journal
24 January 2018 Investigation of Performance of Tropospheric Ozone Estimations in The Industrial Region Using Differential Artificial Neural Networks Methods by Andac Akdemir et al. View all Global NEST Journal
23 January 2018 Ultrasound–assisted adsorption of toxic dyes by cottonseed cake: artificial neural networks, regression models and response surface optimization by Musa Buyukada et al. View all Global NEST Journal
15 February 2017 A multi-stage methodology for selecting input variables in ANN forecasting of river flows by Dionysia Panagoulia et al. View all Global NEST Journal
19 October 2016 Comparison of a black-box model to a traditional numerical model for Hydraulic Head Prediction by Karatzas G.P. et al. View all Global NEST Journal
20 May 2016 Modeling Dryness Severity Using Artificial Neural Network at the Okavango Delta, Botswana by Jimmy Byakatonda et al. View all Global NEST Journal
13 March 2015 Measurement and prediction of karstic spring flow rates by K.L. Katsifarakis et al. View all Global NEST Journal
17 February 2015 Wind energy location prediction between meteorological stations using ANN by Sardar Maran et al. View all Global NEST Journal
03 October 2014 Prognosis of maximum daily surface ozone concentration within the greater Athens urban area, Greece by Paliatsos A.G. et al. View all Global NEST Journal
28 May 2014 Prediction of adsorption efficiency for the removal malachite green and acid blue 161 dyes by marble sludge dust using ANN by semra çoruh et al. View all Global NEST Journal
02 May 2014 Water level prediction by artificial neural network in a flashy transboundary river of Bangladesh by ROBIN K. BISWAS et al. View all Global NEST Journal
16 December 2013 A Hybrid Stochastic-ANN Approach for Flow Partitioning in the Okavango Delta of Botswana by Piet K. Kenabatho et al. View all Global NEST Journal
Artificial neural networks predictive models. A case study: carbon and bromine concentrations prediction based on chlorination time by Farmaki E.G., Samios S.A., Thomaidis N.S., Golfinopoulos S., Efstathiou C.E. and Lekkas T.D. Global NEST Journal