Search Results - Jiayao Wang
-
1
Prediction of polar motion and UT1-UTC based on the hybrid EEMD_LSTM model
Published 2025-06-01Get full textAccurate and real-time Earth rotation parameters (ERPs) are crucial for various scientific fields, including astronomy, geoscience, and oceanography. Although there are various space geodetic techniques, such as VLBI, GNSS, DORIS, and SLR, which can determine the ERPs with high accuracy, these metho...
Article -
2
Exploring Chinese Millennials’ Purchase Intentions for Clothing with AI-Generated Patterns from Premium Fashion Brands: An Integration of the Theory of Planned Behavior and Perceiv...
Published 2025-06-01Get full textPremium fashion brands are increasingly adopting Generative Artificial Intelligence (GenAI) to reduce costs and enhance creativity. However, consumers have mixed perceptions of clothing with AI-generated patterns (CAGPs) launched by premium fashion brands, especially in online shopping contexts wher...
Article -
3
Sub-activity analysis by using wristband-type wearable health devices to measure construction workers’ physical demands
Published 2025-06-01Get full textUnderstanding and managing the physical demands of construction workers is critical to their safety, health, and productivity. Construction tasks, especially cyclic and non-cyclic activities are highly variable. Cyclic tasks involve repetitive actions, which if not well-distributed, can lead to cum...
Article -
4
Modeling land cover changes using an enhanced Markov-future land use simulation model with spatial distribution considerations: a case study in the Yellow River Basin
Published 2025-12-01Get full textThe traditional Markov-future land use simulation (FLUS) model for land use prediction primarily emphasizes the quantity changes and spatial distribution of land use types, but it neglects the influence of their inherent spatial characteristics on the prediction precision. This study introduces an i...
Article -
5
Hyperspectral Anomaly Detection by Spatial–Spectral Fusion Based on Extreme Value-Entropy Band Selection and Cauchy Graph Distance Optimization
Published 2025-01-01Get full textHyperspectral technology for detecting camouflaged targets in complex backgrounds represents a current research hotspot. Hyperspectral data often contain numerous spectral bands, which can lead to data redundancy. Traditional anomaly detection methods typically assume that the background spectrum fo...
Article