A framework for process risk assessment incorporating prior hazard information in text mining models using chunking

S Sahoo, P Mukane, J Maiti, VK Tewari - Process Safety and Environmental …, 2024 - Elsevier
In process industries, complexity of operations and continuous exposure to hazardous
substances, equipment and environment necessitates performing fault detection and …

Contextualizing injury severity from occupational accident reports using an optimized deep learning prediction model

MZF Khairuddin, S Sankaranarayanan… - PeerJ Computer …, 2024 - peerj.com
Background This study introduced a novel approach for predicting occupational injury
severity by leveraging deep learning-based text classification techniques to analyze …

A multi-task learning risk assessment method for the chemical process industry

Y Guo, X Ai, W Luo - Process Safety and Environmental Protection, 2024 - Elsevier
Dynamic risk assessment is essential to prevent major accidents in the chemical process
industry. The Prediction of accident risk categories, risk likelihood, and risk severity are three …

A Chinese text classification model based on radicals and character distinctions

H Yan-Xin, L Bo - IEEE Access, 2023 - ieeexplore.ieee.org
Chinese characters are generally correlated with their semantic meanings, and the structure
of radicals, in particular, can be a clear indication of how characters are related to each …

Novel Sentiment Majority Voting Classifier and Transfer Learning-based Feature Engineering for Sentiment Analysis of Deepfake Tweets

M Khalid, A Raza, F Younas, F Rustam, MG Villar… - IEEE …, 2024 - ieeexplore.ieee.org
Deepfake text known as synthetic text, involves using artificial intelligence (AI)-generated
text to create fabricated information or imitate actual individuals. Twitter tweets related to …

Analyzing Traffic-Complaint Tweets Based on Time-Location Context Analysis to Develop A Traffic Urgency Model

BR Lidiawaty, E Suryani… - 2023 8th International …, 2023 - ieeexplore.ieee.org
Intelligent transportation systems in urban areas in developing countries are still being
developed. In this process, there are plenteous reports from society that complain about …

Improved content recommendation algorithm integrating semantic information

R Huang - Journal of Big Data, 2023 - Springer
Content-based recommendation technology is widely used in the field of e-commerce and
education because of its intuitive and easy to explain advantages. However, due to the …

JCF: Joint coarse-and fine-grained similarity comparison for plagiarism detection based on NLP

CY Chang, SJ Jhang, SJ Wu, DS Roy - The Journal of Supercomputing, 2024 - Springer
Document similarity recognition is one of the most important problems in natural language
processing. This paper proposes a plagiarism comparison mechanism called JCF. Initially …

A hybrid association analysis framework of accident reports for offshore drilling platforms

J Yi, K Chen, H Liu, K Liang, H Mi, W Zhou - Journal of Loss Prevention in …, 2023 - Elsevier
As the key work unit of offshore oil and gas exploration and exploitation activities, an
offshore drilling platform (ODP) integrates high-density equipment and facilities in a …

Research on coal mine building compliance inspection system based on accident causation and BIM in China

X Li, X Zhang, Q Liu, Y Zhang, X Gu, Z Qiu - International journal of …, 2022 - mdpi.com
Coal mine construction projects have high risks, and non-compliant designs generated in
the design stage will have adverse effects on subsequent construction and production …