Published - 01 November 2022 Analysis of flood frequency using plotting position methods and Gumbel’s method: Vaigai River basin, Southern India by M Ramasamy et al. View all gnest_04353_published.pdf
Published - 20 October 2022 Recent advances in Ecological Aspect For prediction model based on ECG beat classification using neural network by Dr Vaneet Kumar et al. View all gnest_04423_published.pdf
Published - 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 gnest_04414_published.pdf
Published - 08 September 2022 Utilization of coconut and jojoba wastes for lipases production by Aspergillus niger and applied it for biodiesel production by Ghada Abd-Elmonsef Mahmoud et al. View all gnest_04287_published.pdf
Published - 07 August 2022 EVALUATION OF THE PERFORMANCE OF PACKED BED COLUMN FOR HEAVY METAL ION REMOVAL USING RICE HUSK POWDER COATED WITH IRON OXIDE NANO-PARTICLES by Yogeshwaran V et al. View all gnest_04331_published.pdf
Published - 28 February 2022 Spatialization of ECOS method at micro-basin level in rural development-oriented ecotourism planning by Ates O. et al. View all gnest_04235_published.pdf
Published Neural network estimation of the scour cone geometry around outlet in the pressure flushing by Emamgholizadeh S. 540-549_765_Emamgholizadeh_14-4.pdf
Published Regression analysis between sediment transport rates and stream discharge for the Nestos River, Greece by Angelis I., Metallinos A. and Hrissanthou V. 362-370_888_Hrissanthou_14-3.pdf
Published Using an informational entropy-based metric as a diagnostic of flow duration to drive model parameter identification by Pechlivanidis I.G., Jackson B.M., McMillan H.K. and Gupta H.V. 325-334_879_Pechlivanidis_14-3.pdf
Published Use of alternative fuels obtained from renewable sources in Brayton cycles by Escudero M., Jimenez A., Lopez I. and Rodriguez J. 157-165_857_NRG_11_Escudero_14-2.pdf
Published 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. 10-17_813_Farmaki_14-1.pdf