Results 171 to 180 of about 3,032,172 (354)

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

open access: yesDeep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan   +4 more
wiley   +1 more source

Shock wave propagation characteristics of aluminum‐containing explosive in corrugated steel‐lined tunnel

open access: yesDeep Underground Science and Engineering, EarlyView.
Aluminum‐enhanced afterburning renders AE explosives more hazardous than conventional ones. Corrugated steel linings reduce far‐field AE blast overpressure by ~50% through wave reflection and dissipation. The developed model accurately predicts peak pressure (<10% error) and arrival time (<3% error), supporting protective design.
Zhen Wang   +5 more
wiley   +1 more source

Dual Attention‐Empowered Bidirectional Long Short‐Term Memory Network for Short‐Term Electric Load Forecasting

open access: yesEnergy Technology, EarlyView.
The proposed study combined the dual attention mechanism with a bidirectional long short‐term memory network (DA‐BiLSTM) for short‐term load forecasting. This technique was tested on two electric load datasets to assess its generalizability. Additionally, the robustness of DA‐BiLSTM was illustrated through comparative analysis with other deep learning ...
Sabiha Rani   +7 more
wiley   +1 more source

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