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Open access Sep 2026

Refined Safety Distance Measurement of Heavy Construction Machinery Near Electricity Operation Based on Feature‐Homogenised Spatial Target Analysis

Heavy construction machinery is essential for power infrastructure construction and maintenance, making safety distance measurement crucial for ensuring operational safety. Existing methods, which rely on target space mapping, face challenges such as error accumulation and limited accuracy. Motivated by this, this pa...

Fuqi Ma, Ming-Yang Qi, Rong Jia et al. · 0 citations
Conference Aug 2026

GraphReformer: Information-Bottleneck-Driven Implicit Structural Inference for Efficient Transformer-Based Time Series Forecasting

Multivariate long-sequence time series forecasting (MLSTF) is critical in applications such as electricity consumption planning, where accurate prediction requires models to capture complex temporal dependencies over extended horizons while remaining computationally efficient. Current MLSTF methods are largely built up...

Zhi-Yuan Zuo, Zhao-Ming Tian, Xiao-Yu Cao et al. · 0 citations

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