A Wavelet-Based Model for Determining Asphaltene Onset Pressure

Maximizing daily rainfall prediction accuracy with maximum overlap discrete wavelet transform‐based machine learning models

“…The utilization of artificial intelligence and machine learning algorithms in rainfall forecasting research has emerged as a significant approach for modelling complex, nonlinear phenomena, over the past few decades (Altunkaynak & Küllahcı, 2022; Chadalawada et al, 2017; Küllahcı & Altunkaynak, 2023a, 2023b; Mandal & Jothiprakash, 2012; Wang & Altunkaynak, 2012) These cutting‐edge technologies have proven to be highly effective in accurately predicting rainfall patterns, and overcoming the limitations of traditional statistical methods (Altunkaynak & Nigussie, 2017; Jaiswal & Malhotra, 2018). By combining multiple individual models or techniques, these hybrid methods have the potential to produce more robust and accurate predictions, leading to improved outcomes and advancements in the prediction field (Heidary & Abad, 2021; Küllahcı & Altunkaynak, 2023a, 2023b; Li et al, 2018; Ouyang et al, 2016; Pandey et al, 2019; Partal & Kişi, 2007; Solgi et al, 2014; Song et al, 2021; Yin et al, 2023; Zhao et al, 2021). A selection of studies on the utilization of both machine learning and signal processing techniques in the prediction of rainfall time series can be found in Table 1.…”

Application of Maximum Overlap Discrete Wavelet Transform and Machine Learning to Improved Daily Rainfall Prediction Modeling

“…However, the researchers emphasized that new ensemble and hybrid approaches are crucial in various fields for the future success of machine learning (ML) approaches (Altunkaynak and Nigussie 2017;Jaiswal and Malhotra 2018). By combining multiple individual models or techniques, these hybrid methods have the potential to produce more robust and accurate predictions, leading to improved outcomes and advancements in the prediction field (Heidary and Fouladi Hossein Abad 2021;Li, Ma, and Yang 2018;Ouyang et al 2016;Pandey, Tripura, and Pandey 2019;Partal and Kişi 2007;Solgi, Nourani, and Pourhaghi 2014;Song et al 2021;Yin et al 2023;Zhao et al 2021) In the present contribution, we introduce an original approach to raw rainfall analysis. We apply the Maximum Overlap Discrete Wavelet Transform (MODWT) signal decomposition algorithm to enhance the accuracy of daily rainfall predictions and extend the prediction time horizon.…”