Rusul Khaleel Ibrahim

TL;DR: A Neuro-Fuzzy Inference System (WDT-ANFIS) based augmented wavelet de-noising technique has been recommended that depends on historical data of the water quality parameter and exhibited a significant improvement in predicting accuracy for all theWater quality parameters and outperformed all the recommended models.

TL;DR: This review sheds the light on the recent progresses in nanotechnology and its vital role to encompass the imperative demand to monitor and treat the emerging hazardous wastes with lower cost, less energy, as well as higher efficiency.

TL;DR: In this paper, five deep eutectic solvents (DESs) were successfully prepared using ethylene glycol (EG) as hydrogen bond donor (HBD) with N,N-diethylethanolammonium chloride (DAC), benzyltriphenylphosphonium chloride(BTPC), choline chloride (ChCl), MTPB and tetra-n-butylammonium bromide (TBAB) as salts.

TL;DR: In this paper, the authors used DESs as functionalization agents with carbon nanotubes (CNTs) for use as adsorbents of lead ions, specifically Pb(II), from water.

TL;DR: In this paper, a support vector machine (SVM) was used to predict the water quality of Langat River Basin through the analysis of the data of six parameters of dual reservoirs that are located in the catchment.