The rapid advancement of smart sensors and logic algorithms has propelled the widespread
adoption of the Internet of Things (IoT) and expedited the advent of the intelligent era. The …

In this article, a new ensemble learning model called GATE is proposed to improve the
accuracy and stability of time-series forecasting, which is a crucial aspect of modern …

As a critical component of sustainable water management, groundwater level prediction
plays a vital role in mitigating droughts and ensuring adequate water supply. For decades …

The advancement of the Internet of Things applications (technologies and enabling
platforms), consisting of software and hardware (eg, sensors, actuators, etc.), allows …

Climate change affects plant growth, food production, ecosystems, sustainable socio-
economic development, and human health. The different artificial intelligence models are …

Demand forecasting has become the most crucial part for supporting supply chain decisions.
However, accurate forecasting in time series demand forecasting, particularly within supply …

The glacio-hydrological process is essential in the global water cycle but is complex and
poorly understood. In this study, we couple the deep Shapley additive explanation (SHAP) …

Recently, significant advancements have been made in time-series forecasting research,
with an increasing focus on analyzing the nature of time-series data, eg, channel …

To enhance affective experience and customer satisfaction in the intelligent cockpit of new
energy vehicle (NEV-IC), this article proposes a novel method that combines the visual …

The dynamic reservoir of the randomly generated Echo State Network (ESN) contains
numerous redundant neurons, resulting in collinearity in the high-dimensional state space …