Membrane desalination (MD) is an efficient process for desalinating saltwater, combining
the uniqueness of both thermal and separation distillation configurations. In this context, the …

Integrating renewable energy sources, such as wind and photovoltaic power generation,
into the power grid is crucial for sustainable power system development and mitigating …

This article introduces a dynamic ensemble framework that integrates parametric and non-
parametric pricing models. Within this framework, we propose a time-varying parametric …

As large-scale infrastructure construction projects conclude, the overall civil construction
market shrinks, leading to increased competition among construction companies …

Under the influence of the coronavirus disease and other factors, agricultural product prices
show non-stationary and non-linear characteristics, making it increasingly difficult to forecast …

Cross-sea cable-stayed bridges encounter challenges associated with cable corrosion and
cable-force relaxation during their service life, which significantly affects their structural …

Cryptocurrency price fluctuations are increasingly interesting and are of concern to
researchers around the world. Many ways have been proposed to predict the next price …

This study investigates the effectiveness of the Prophet algorithm in predicting Grab
Holdings' stock prices dataset from Kaggle. By meticulously analyzing historical closing …

The volatility of Bitcoin prices presents both challenges and opportunities for investors and
researchers seeking to understand and forecast cryptocurrency market dynamics. In this …

The study examines the problem of modeling and forecasting the price dynamics of crypto
currencies. We use machine learning techniques to forecast the price of crypto currencies …