As a part of innovation in forecasting, scientific topic hotness prediction plays an essential
role in dynamic scientific topic assessment and domain knowledge transformation modeling …

Currently, hand motion recognition of single‐modality data has been extensively explored
for the analysis of various contact and noncontact sensors, and it is recognized that all the …

The big data platform, which has a high control accuracy and efficiency, is expected to
realize the high-accuracy prediction and real-time control of the thermal error (TE) for the …

Deterioration in the quality of a person's voice and speech is an early sign of Parkinson's
disease (PD). Although a number of computer‐based methods have been invested to use …

Topic evolution has been studied extensively in the field of the science of science. This study
first analyzes topic evolution pattern from topics' semantic consistency in the semantic vector …

The urgency of addressing climate change has amplified the need for sustainable
manufacturing practices. This review explores the integration of carbon footprint …

Computer science (CS) plays a crucial role in addressing challenges across various sectors,
including education, finance, and healthcare. Investigating scholars' topic switching …

Scholars continuously explore new research topics to drive personal academic
achievements. While factors influencing topic selection exist, the predictability of scholars' …

Topic trends in rapidly evolving domains like blockchain are dynamic and pose prediction
challenges. To address this, we propose a novel framework that integrates topic modeling …

In this study, a multivariate time series forecasting model applicable to high‐dimensional
short‐term forecasting is proposed. The Reservoir Computing Network (RCN) state …