Prediction of microseismic events in rock burst mines based on MEA-BP neural network
T Lan, X Guo, Z Zhang, M Liu - Scientific Reports, 2023 - nature.com
Microseismic monitoring is an important tool for predicting and preventing rock burst
incidents in mines, as it provides precursor information on rock burst. To improve the …
incidents in mines, as it provides precursor information on rock burst. To improve the …
Machine learning based technique for outlier detection and result prediction in combustion diagnostics
With the utilization of data correlation, this work proposed a novel machine learning-based
technique for outlier detection and result prediction to cover the deficiency and economize …
technique for outlier detection and result prediction to cover the deficiency and economize …
Experimental study on microscopic characteristics of transcritical spray for high density environment
D Zhu, Q Sun, H Wu, Y Ai, T Lee, Z Shi, C Lee, X Li - Fuel, 2024 - Elsevier
As the power density of diesel engines increases, the in-cylinder spray process appears
supercritical phase transition, but the transition boundary and judgment criteria are unclear …
supercritical phase transition, but the transition boundary and judgment criteria are unclear …
A novel AI-based combustion diagnostic technology for the identification of chemical source information via flame images: Fuel type and reaction condition
The improvement of combustion diagnostics was an important basis for developing
combustion-related research and technologies. Based on the flame image as the carrier, this …
combustion-related research and technologies. Based on the flame image as the carrier, this …
Quantitative Inversion Modeling Method for Grading Deerni Copper Deposits Based on Visible and Near-Infrared Hyperspectral Data
J Wang, J Gao, J Huang, Q Qi, X Mao… - Canadian Journal of …, 2022 - Taylor & Francis
Quantitative metal grade inversion based on hyperspectral data is an effective approach to
achieve the real-time in situ determination of ore body grades and has the advantages of …
achieve the real-time in situ determination of ore body grades and has the advantages of …
[HTML][HTML] An LSTM-based approach to detect transition to lean blowout in swirl-stabilized dump combustion systems
Lean combustion is environment friendly with low NOX emissions providing better fuel
efficiency in a combustion system. However, approaching towards lean combustion can …
efficiency in a combustion system. However, approaching towards lean combustion can …
Density Prediction Model of Binary or Ternary Diesel Fuel Blends with Biodiesel and Ethanol for Compression-Ignition Engine Calculations
G Chen, X Zhang, Y Zhao, Y Pang, C Jin… - Journal of Energy …, 2024 - ascelibrary.org
Density is an important indicator for evaluating diesel fuel quality that directly affects the
injection timing and injection rule of the engine, and also has a significant impact on the …
injection timing and injection rule of the engine, and also has a significant impact on the …