Results 121 to 130 of about 621 (181)

Recent advances in local anesthetic drug delivery systems based on natural polymers. [PDF]

Front Bioeng Biotechnol
Guo B, Zhou Q, Zhang X, Ma Q, Ma M, Wang T.   +5 more
europepmc   +1 more source

A multi-scale CNN-GRU fusion model with stationary wavelet transform for 14-day ahead dam water level prediction. [PDF]

Sci Rep
Ng KW, Huang YF, Koo CH, El-Shafie A, Sherif M, Ahmed AN.   +5 more
europepmc   +1 more source

Hydrological Modeling of Upper Indus Basin Using HEC -HMS.

JOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCES, 2019
openaire   +1 more source

Assessing climate change impacts on flood risk in the Yeongsan River Basin, South Korea. [PDF]

Sci Rep
Ashu AB, Kang J.
europepmc   +1 more source

Evolution from the physical process-based approaches to machine learning approaches to predicting urban floods: a literature review. [PDF]

Environ Syst Res (Heidelb)
Anik MSBM, An C, Li SS.
europepmc   +1 more source

Phyto-treatment of tannery industry effluents under combined application of citric acid and chromium-reducing bacterial strain through Lemna minor L.: A lab scale study. [PDF]

Heliyon
Arshad R, Al-Huqail AA, Alghanem SMS, Alsudays IM, Farid M, Sarfraz W, Abbas M, Asam ZUZ, Khalid N, Yong JWH, Abeed AHA.   +10 more
europepmc   +1 more source

Integrated monitoring and modeling to disentangle the complex spatio-temporal dynamics of urbanized streams under drought stress. [PDF]

Environ Monit Assess
López Moreira Mazacotte GA, Tetzlaff D, Marx C, Warter MM, Wu S, Smith AA, Soulsby C.   +6 more
europepmc   +1 more source

Optimization of the HEC-RAS Based Flood Inundation Mapping using Adaptive Neuro- Fuzzy Inference System: A case study of Olkeriai River Basin, Kenya

Bore E, Otieno AK, Kimwatu DM, Kiptala JK.   +3 more
europepmc   +1 more source

A multi-source data-driven framework for probabilistic flood risk assessment using cascade machine learning models: case study in the Sichuan Basin. [PDF]

Sci Rep
Lu Y, Huang Y, Liu X.
europepmc   +1 more source

Evaluation of LSTM vs. conceptual models for hourly rainfall runoff simulations with varied training period lengths. [PDF]

Sci Rep
Fathi MM, Al Mehedi MA, Smith V, Fernandes AM, Hren MT, Terry DO.   +5 more
europepmc   +1 more source