Energy consumption of intermittent ventilation strategies of different air distribution modes for indoor pollutant removal
Z Cao, Y An, Y Wang, Y Bai, T Zhao, C Zhai - Journal of Building …, 2023 - Elsevier
Efficient ventilation methods and ventilation strategies are required to improve the energy
savings of the ventilation systems of industrial plants. This study investigated the energy …
savings of the ventilation systems of industrial plants. This study investigated the energy …
Review on machine learning-based underground coal mines gas hazard identification and estimation techniques
The underground coal mines (UCM) exhibit many life-threatening hazards for mining
workers. In contrast, gas hazards are among the most critical challenges to handle. This …
workers. In contrast, gas hazards are among the most critical challenges to handle. This …
Air cargo transport demand forecasting using ConvLSTM2D, an artificial neural network architecture approach
JGM Anguita, OD Olariaga - Case Studies on Transport Policy, 2023 - Elsevier
The prediction of air traffic demand (passengers and cargo) in a regional/national air
transport system is essential. Knowing the behavior of future demand helps, on the one …
transport system is essential. Knowing the behavior of future demand helps, on the one …
Unified CNN-LSTM for keyhole status prediction in PAW based on spatial-temporal features
Despite the high efficiency of keyhole plasma arc welding (K-PAW), it still has several
deficiencies, such as narrow welding parameter ranges, easily disturbed welding process …
deficiencies, such as narrow welding parameter ranges, easily disturbed welding process …
A hybrid deep leaning model for prediction and parametric sensitivity analysis of noise annoyance
Noise annoyance is recognized as an expression of physiological and psychological strain
in acoustical environment. The studies on prediction of noise annoyance and parametric …
in acoustical environment. The studies on prediction of noise annoyance and parametric …
Ensemble water quality forecasting based on decomposition, sub-model selection, and adaptive interval
T Liu, W Liu, Z Liu, H Zhang, W Liu - Environmental Research, 2023 - Elsevier
The prediction of effluent quality for wastewater treatment plants (WWTPs) has caused
widespread concern due to its essential role in ensuring water quality standards and …
widespread concern due to its essential role in ensuring water quality standards and …
Residual-aware deep attention graph convolutional network via unveiling data latent interactions for product quality prediction in industrial processes
Data-driven modeling based on deep learning is crucial for online product quality prediction
in industrial processes. Extracting latent data interactions from sensor variables lies at the …
in industrial processes. Extracting latent data interactions from sensor variables lies at the …
Neural network models and shapley additive explanations for a beam-ring structure
Y Sun, L Zhang, M Yao, J Zhang - Chaos, Solitons & Fractals, 2024 - Elsevier
A combination of neural network modeling, SHapley Additive exPlanations (SHAP) and
model simplification is proposed and applied to the system of a beam-ring structure in this …
model simplification is proposed and applied to the system of a beam-ring structure in this …
A hybrid forecasting architecture for air passenger demand considering search engine data and spatial effect
X Liang, C Hong, J Chen, Y Wang, M Yang - Journal of Air Transport …, 2024 - Elsevier
As the global process of digitalization accelerates and breakthroughs in internet technology
emerge, governments worldwide are advocating for data-driven decision-making, aiming to …
emerge, governments worldwide are advocating for data-driven decision-making, aiming to …
An intelligent airflow perception model for metal mines based on CNN-LSTM architecture
W Tang, Q Zhang, Y Chen, X Liu, H Wang… - Process Safety and …, 2024 - Elsevier
In view of the harsh underground working environment and difficulties of airflow monitoring
sensors placement, implementing an intelligent ventilation strategy is crucial for ensuring …
sensors placement, implementing an intelligent ventilation strategy is crucial for ensuring …