Evaluation of deep learning algorithm for inflow forecasting: a case study of Durian Tunggal Reservoir, Peninsular Malaysia
Forecasting of reservoir inflow is one of the most vital concerns when it comes to managing
water resources at reservoirs to mitigate natural hazards such as flooding. Machine learning …
water resources at reservoirs to mitigate natural hazards such as flooding. Machine learning …
Forecasting multi-step-ahead reservoir monthly and daily inflow using machine learning models based on different scenarios
Dam reservoir operations are a critical issue for decision-makers in maximizing the use of
water resources. Artificial Intelligence and Machine Learning models (AI & ML) approaches …
water resources. Artificial Intelligence and Machine Learning models (AI & ML) approaches …
An evaluation of various data pre-processing techniques with machine learning models for water level prediction
Floods are the most frequent type of natural disaster. It destroys wildlife habitat, damages
bridges, railways, roads, properties, and puts millions of people at risk. As such, flood …
bridges, railways, roads, properties, and puts millions of people at risk. As such, flood …
Modeling, evaluation and forecasting of suspended sediment load in Kal-e Shur River, Sabzevar Basin, in northeast of Iran
Studying sediment transport to rivers is crucial for effective river management, engineering,
and environmental preservation. Neglecting this aspect can lead to significant harm to …
and environmental preservation. Neglecting this aspect can lead to significant harm to …
[HTML][HTML] Optimizing sediment transport models by using the Monte Carlo simulation and deep neural network (DNN): A case study of the Riba-Roja reservoir
D Dehghan-Souraki, D López-Gómez… - … Modelling & Software, 2024 - Elsevier
This study emphasizes the importance of accurate calibration in sediment transport models
and highlights the transformative role of artificial intelligence (AI), specifically machine …
and highlights the transformative role of artificial intelligence (AI), specifically machine …
Modeling sediment flow analysis for hydro-electric projects using deep neural networks
This study investigates sediment removal efficiency in river systems for optimizing
hydroelectric projects using a novel Deep Neural Network (DNN) model tailored for river …
hydroelectric projects using a novel Deep Neural Network (DNN) model tailored for river …
Road-side slope erosion using MLS and remote sensing
Soil is one of the most important natural resources of any country, and the basis of
development is based on it. Destruction and degradation of soil can lead to the destruction …
development is based on it. Destruction and degradation of soil can lead to the destruction …