To reduce the peak-valley difference of power consumption, the distribution system operator
(DSO) usually guides the electricity consumers to change their load profiles based on the …

Precise radiation dose measuring and prediction are crucial for ensuring safe and
responsible use of ionizing radiation in various fields. However, traditional methods face …

In today's dynamic business environment, the accurate prediction of sales orders plays a
critical role in optimizing Supply Chain Management (SCM) and enhancing operational …

Scientists not only engage in research, but also write articles based on their work, and
naturally aim to submit their articles to prestigious, well-received, and highly regarded …

In the ever-evolving landscape of data analysis, the need to efficiently and accurately
interpret multimodal time series data has become paramount. Traditional methods often fall …

To improve the prediction accuracy and computational speed of vehicle velocity prediction
(VVP) strategies for energy management, an online VVP strategy based on general …

While time series classification and forecasting problems have been extensively studied, the
cases of noisy time series data with arbitrary time sequence lengths have remained …

The current research anticipates developing a model based on adaptive neuro-computation
to foresee the minimum pressure drop (PD) at the centre as well as the maximum sustained …

Splitting of sequential data, such as videos and time series, is an essential step in various
data analysis tasks, including object tracking and anomaly detection. However, splitting …

The aim of this study is to develop different models of aquatic forecasting and try to predict
yellowfin tuna catch in the southern waters of the country with minimum possible errors. The …