Hybrid features extraction for the online mineral grades determination in the flotation froth using Deep Learning
The control of the froth flotation process in the mineral industry is a challenging task due to
its multiple impacting parameters. Accurate and convenient examination of the concentrate …
its multiple impacting parameters. Accurate and convenient examination of the concentrate …
Integrating information entropy and latent Dirichlet allocation models for analysis of safety accidents in the construction industry
Y Liu, J Wang, S Tang, J Zhang, J Wan - Buildings, 2023 - mdpi.com
Construction accident investigation reports contain critical information, but extracting useful
insights from the voluminous Chinese text is challenging. Traditional methods rely on expert …
insights from the voluminous Chinese text is challenging. Traditional methods rely on expert …
Technology opportunity discovery linking artificial intelligence and construction technologies: A graph convolution network-based approach
The advancement of digital technology has driven innovation across industries. Artificial
intelligence (AI) as a pivotal digital technology, has the potential to stimulate innovative …
intelligence (AI) as a pivotal digital technology, has the potential to stimulate innovative …
Automatic quality compliance checking in concrete dam construction: Integrating rule syntax parsing and semantic distance
The compliance checking of concrete dam construction quality often relies on the manual
reference of specifications, which is time-consuming, labor-intensive, and prone to errors …
reference of specifications, which is time-consuming, labor-intensive, and prone to errors …
A hybrid deep semantic mining method considering fuzzy expressions for the automatic recognition of construction safety hazard information
Safety hazards are a key consideration in construction management. The efficient
recognition of safety hazard information can help managers formulate safety hazard …
recognition of safety hazard information can help managers formulate safety hazard …
Intelligent mining methodology of product field failure data by fusing deep learning and association rules for after-sales service text
Y Liu, S Hu, H Zhang, Q Dong, W Liu - Engineering Applications of Artificial …, 2024 - Elsevier
The after-sales service text contains wealthy field failure data, which can be used to estimate
the field reliability of product and its components. However, human-based data mining …
the field reliability of product and its components. However, human-based data mining …
Development of targeted safety hazard management plans utilizing multidimensional association rule mining
X Qiang, G Li, YA Sari, C Fan, J Hou - Heliyon, 2024 - cell.com
Investigating hidden hazards and implementing closed-loop management are essential
strategies for accident prevention in the mining industry. This study tackles a key challenge …
strategies for accident prevention in the mining industry. This study tackles a key challenge …
A Framework Based on Natural Language Processing for Risk Management in Engineering
M Yang, J Petronijevic, A Etienne… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Risk management (RM) is crucial in product development processes in the engineering
domain since mitigating risks ensures satisfactory product performance. Existing RM …
domain since mitigating risks ensures satisfactory product performance. Existing RM …
Identification and Analysis of Smart Construction Safety Risks: Based on Coding In-Depth Interviews
L Wang, Y Wang, D Fang, Y Huang - International Symposium on …, 2023 - Springer
Smart construction, driven by the integration of new generation information technology, has
transformed the construction industry and mitigated traditional safety risks. However, the …
transformed the construction industry and mitigated traditional safety risks. However, the …
Research on Topic Identification of Safety Hazard Information in Oilfield Enterprises
X Zhang, H Shi, C Chen, J Guan - Proceedings of the 2023 12th …, 2023 - dl.acm.org
To address the issues of semantic sparsity and insufficient co-occurrence information
encountered when using the Latent Dirichlet Allocation (LDA) topic model for identifying …
encountered when using the Latent Dirichlet Allocation (LDA) topic model for identifying …