Amir Aieb
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View article: Time Series Gaps Filling based on Heterogeneous Sensor Data Fusion
Time Series Gaps Filling based on Heterogeneous Sensor Data Fusion Open
View article: Feature-Level Uncertainty Response Analysis in Multi-Sensor Deep Learning Models
Feature-Level Uncertainty Response Analysis in Multi-Sensor Deep Learning Models Open
View article: An Innovative Approach for Calibrating Hydrological Surrogate Deep Learning Models
An Innovative Approach for Calibrating Hydrological Surrogate Deep Learning Models Open
Developing data-driven models for spatiotemporal hydrological prediction presents challenges in managing complexity, capturing fine spatial and temporal resolution, and ensuring model resilience across diverse regions. This study introduce…
View article: Short-Term Forecasting of Non-Stationary Time Series
Short-Term Forecasting of Non-Stationary Time Series Open
Forecasting climate events is crucial for mitigating and managing risks related to climate change; however, the problem of non-stationarity in time series (NTS) arises, making it difficult to capture and model the underlying trends. This t…
View article: Downscaling Fusion Model for CMIP5 Rainfall Projection under RCP Scenarios: The Case of Trentino-Alto Adige
Downscaling Fusion Model for CMIP5 Rainfall Projection under RCP Scenarios: The Case of Trentino-Alto Adige Open
Climate parameter projections obtained by global and regional models (GCM and RCM, respectively) offer a challenge to many researchers in terms of controlling the quality of the outcome data using several scales. In the literature, the pro…
View article: A Novel Interannual Rainfall Runoff Equation Derived from Ol’Dekop’s Model Using Artificial Neural Networks
A Novel Interannual Rainfall Runoff Equation Derived from Ol’Dekop’s Model Using Artificial Neural Networks Open
In water resources management, modeling water balance factors is necessary to control dams, agriculture, irrigation, and also to provide water supply for drinking and industries. Generally, conceptual and physical models present challenges…
View article: A Hybrid Water Balance Machine Learning Model to Estimate Inter-Annual Rainfall-Runoff
A Hybrid Water Balance Machine Learning Model to Estimate Inter-Annual Rainfall-Runoff Open
Watershed climatic diversity poses a hard problem when it comes to finding suitable models to estimate inter-annual rainfall runoff (IARR). In this work, a hybrid model (dubbed MR-CART) is proposed, based on a combination of MR (multiple r…
View article: Statistical modeling of monthly rainfall variability in Soummam watershed of Algeria, between 1967 and 2018
Statistical modeling of monthly rainfall variability in Soummam watershed of Algeria, between 1967 and 2018 Open
The monthly precipitations obtained during 51 years of measurement in 24 stations of Soummam watershed in Algeria were analyzed to describe rainfall trends and aridity state of the area using statistical modeling. The choice of distributio…
View article: A new approach for processing climate missing databases applied to daily rainfall data in Soummam watershed, Algeria
A new approach for processing climate missing databases applied to daily rainfall data in Soummam watershed, Algeria Open
Missing data is a very frequent problem in climatology, it influences on the quality of results that will afford in hydrological studies, as well as water resources management. This paper proposes a new imputation algorithm, based on the o…