Hybrid artificial intelligence models based on adaptive neuro fuzzy inference system and metaheuristic optimization algorithms for prediction of daily rainfall
In this study, our primary objective is the accurate prediction of daily rainfall through the
application of various hybrid Artificial Intelligence (AI) methods. These methods are …
application of various hybrid Artificial Intelligence (AI) methods. These methods are …
Assimilation of PSO and SVR into an improved ARIMA model for monthly precipitation forecasting
L Parviz, M Ghorbanpour - Scientific Reports, 2024 - nature.com
Precipitation due to its complex nature requires a comprehensive model for forecasting
purposes and the efficiency of improved ARIMA (IARIMA) forecasts has been proved relative …
purposes and the efficiency of improved ARIMA (IARIMA) forecasts has been proved relative …
Long-term climate change analysis in northeast and eastern India
Global climate change and landform alteration are correlated with a high impact on rainfall,
land surface temperature (LST), vegetation conditions, and soil moisture. This study …
land surface temperature (LST), vegetation conditions, and soil moisture. This study …
Comparative analysis of data-driven models and signal processing techniques in the monthly maximum daily precipitation prediction of El Kerma station Northeast of …
OM Katipoğlu, M Keblouti - Soft Computing, 2024 - Springer
The availability of a climate database is an essential requirement for modeling and mapping
hydrological and environmental processes. Regardless of the nature and structure of these …
hydrological and environmental processes. Regardless of the nature and structure of these …
Discharge coefficient estimation of modified semi-cylindrical weirs using machine learning approaches
R Fatahi-Alkouhi, E Afaridegan, N Amanian - … Environmental Research and …, 2024 - Springer
Based on the principles design of hydrofoil weirs, Modified Semi-Cylindrical Weirs (MSCWs)
incorporate an innovative tangential ramp along the downstream crest contour, thereby …
incorporate an innovative tangential ramp along the downstream crest contour, thereby …
Developing an Ensemble Machine Learning Approach for Enhancing Flood Damage Assessment
Climate change has caused fundamental changes in the pattern of rainfall worldwide.
Climate change can alter precipitation patterns, consequently intensifying the frequency and …
Climate change can alter precipitation patterns, consequently intensifying the frequency and …
A hybrid CNN–RNN model for rainfall–runoff modeling in the Potteruvagu watershed of India
Accurate rainfall‐runoff analysis is essential for water resource management, with artificial
intelligence (AI) increasingly used in this and other hydrological areas. The need for precise …
intelligence (AI) increasingly used in this and other hydrological areas. The need for precise …
Advancing Rainfall Prediction in Pakistan: A Fusion of Machine Learning and Time Series Forecasting Models
This study brings about an innovative approach as rainfall forecast predominantly Boolean
calculation is reviewed overall for 6 major cities of Pakistan for the time span of last quarter …
calculation is reviewed overall for 6 major cities of Pakistan for the time span of last quarter …