Found: 15
Select item for more details and to access through your institution.
Country-Wide Ecological Health Assessment Methodology for Air Toxics: Bridging Gaps in Ecosystem Impact Understanding and Policy Foundations.
- Published in:
- Toxics, 2024, v. 12, n. 1, p. 42, doi. 10.3390/toxics12010042
- By:
- Publication type:
- Article
New Graph-Based and Transformer Deep Learning Models for River Dissolved Oxygen Forecasting.
- Published in:
- Environments (2076-3298), 2023, v. 10, n. 12, p. 217, doi. 10.3390/environments10120217
- By:
- Publication type:
- Article
Graph-Based Deep Learning Model for Forecasting Chloride Concentration in Urban Streams to Protect Salt-Vulnerable Areas.
- Published in:
- Environments (2076-3298), 2023, v. 10, n. 9, p. 157, doi. 10.3390/environments10090157
- By:
- Publication type:
- Article
Application of Quantum Neural Network for Solar Irradiance Forecasting: A Case Study Using the Folsom Dataset, California.
- Published in:
- Energies (19961073), 2024, v. 17, n. 14, p. 3580, doi. 10.3390/en17143580
- By:
- Publication type:
- Article
Machine Learning Dynamic Ensemble Methods for Solar Irradiance and Wind Speed Predictions.
- Published in:
- Atmosphere, 2023, v. 14, n. 11, p. 1635, doi. 10.3390/atmos14111635
- By:
- Publication type:
- Article
Extending Multi-Pathway Human Health Risk Assessment from Regional to Country-Wide—A Case Study on Kuwait.
- Published in:
- Atmosphere, 2023, v. 14, n. 8, p. 1247, doi. 10.3390/atmos14081247
- By:
- Publication type:
- Article
Methodology for Mobile Toxics Deterministic Human Health Risk Assessment and Case Study.
- Published in:
- Atmosphere, 2023, v. 14, n. 3, p. 506, doi. 10.3390/atmos14030506
- By:
- Publication type:
- Article
Spatiotemporal Air Pollution Forecasting in Houston-TX: A Case Study for Ozone Using Deep Graph Neural Networks.
- Published in:
- Atmosphere, 2023, v. 14, n. 2, p. 308, doi. 10.3390/atmos14020308
- By:
- Publication type:
- Article
Chlorophyll-a Estimation in 149 Tropical Semi-Arid Reservoirs Using Remote Sensing Data and Six Machine Learning Methods.
- Published in:
- Remote Sensing, 2024, v. 16, n. 11, p. 1870, doi. 10.3390/rs16111870
- By:
- Publication type:
- Article
Deep Neural Network Modeling for CFD Simulations: Benchmarking the Fourier Neural Operator on the Lid-Driven Cavity Case.
- Published in:
- Applied Sciences (2076-3417), 2023, v. 13, n. 5, p. 3165, doi. 10.3390/app13053165
- By:
- Publication type:
- Article
Daily Streamflow Forecasting Using Networks of Real-Time Monitoring Stations and Hybrid Machine Learning Methods.
- Published in:
- Water (20734441), 2024, v. 16, n. 9, p. 1284, doi. 10.3390/w16091284
- By:
- Publication type:
- Article
Dissolved Oxygen Forecasting for Lake Erie's Central Basin Using Hybrid Long Short-Term Memory and Gated Recurrent Unit Networks.
- Published in:
- Water (20734441), 2024, v. 16, n. 5, p. 707, doi. 10.3390/w16050707
- By:
- Publication type:
- Article
Flood Forecasting Using Hybrid LSTM and GRU Models with Lag Time Preprocessing.
- Published in:
- Water (20734441), 2023, v. 15, n. 22, p. 3982, doi. 10.3390/w15223982
- By:
- Publication type:
- Article
A New Graph-Based Deep Learning Model to Predict Flooding with Validation on a Case Study on the Humber River.
- Published in:
- Water (20734441), 2023, v. 15, n. 10, p. 1827, doi. 10.3390/w15101827
- By:
- Publication type:
- Article
The Discharge Forecasting of Multiple Monitoring Station for Humber River by Hybrid LSTM Models.
- Published in:
- Water (20734441), 2022, v. 14, n. 11, p. 1794, doi. 10.3390/w14111794
- By:
- Publication type:
- Article