Association Mining of Near Misses in Hydropower Engineering Construction Based on Convolutional Neural Network Text Classification
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Association Mining of Near Misses in Hydropower Engineering Construction Based on Convolutional Neural Network Text Classification
Authors
Keywords
-
Journal
Computational Intelligence and Neuroscience
Volume 2022, Issue -, Pages 1-16
Publisher
Hindawi Limited
Online
2022-01-04
DOI
10.1155/2022/4851615
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Automated text classification of near-misses from safety reports: An improved deep learning approach
- (2020) Weili Fang et al. ADVANCED ENGINEERING INFORMATICS
- Convolutional-neural-network-based Multilabel Text Classification for Automatic Discrimination of Legal Documents
- (2020) Ming Qiu et al. SENSORS AND MATERIALS
- A C-BiLSTM Approach to Classify Construction Accident Reports
- (2020) Jinyue Zhang et al. Applied Sciences-Basel
- Bi-LSTM Model to Increase Accuracy in Text Classification: Combining Word2vec CNN and Attention Mechanism
- (2020) Beakcheol Jang et al. Applied Sciences-Basel
- On the Evaluation of CNN Models in Remote-Sensing Scene Classification Domain
- (2020) Ozlem Sen et al. PFG-Journal of Photogrammetry Remote Sensing and Geoinformation Science
- Deep learning based emotion analysis of microblog texts
- (2020) Dongliang Xu et al. Information Fusion
- Comparison of Deep Learning Models and Various Text Pre-Processing Techniques for the Toxic Comments Classification
- (2020) Viera Maslej-Krešňáková et al. Applied Sciences-Basel
- Convolutional neural network: Deep learning-based classification of building quality problems
- (2019) Botao Zhong et al. ADVANCED ENGINEERING INFORMATICS
- A word embedding topic model for topic detection and summary in social networks
- (2019) Lei Shi et al. MEASUREMENT & CONTROL
- Classifying medical relations in clinical text via convolutional neural networks
- (2018) Bin He et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- ROUTES TO FAILURE AND PREVENTION RECOMMENDATIONS IN WORK SYSTEMS OF HYDROPOWER CONSTRUCTION
- (2018) Xiazhong ZHENG et al. Journal of Civil Engineering and Management
- Improving Workplace Hazard Identification Performance Using Data Mining
- (2018) Xinhao Wang et al. JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT
- Visualizing water infrastructure with Sankey maps: a case study of mapping the Los Angeles Aqueduct, California
- (2018) Barry Lehrman Journal of Maps
- Improving Workplace Hazard Identification Performance Using Data Mining
- (2018) Xinhao Wang et al. JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT
- Convolutional Recurrent Deep Learning Model for Sentence Classification
- (2018) Abdalraouf Hassan et al. IEEE Access
- DeepPatent: patent classification with convolutional neural networks and word embedding
- (2018) Shaobo Li et al. SCIENTOMETRICS
- Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification
- (2018) Imon Banerjee et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- Time-statistical laws of workers’ unsafe behavior in the construction industry: A case study
- (2018) Shengyu Guo et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- Deep Learning for Aspect-Based Sentiment Analysis: A Comparative Review
- (2018) Hai Ha Do et al. EXPERT SYSTEMS WITH APPLICATIONS
- Research on Unstructured Text Data Mining and Fault Classification Based on RNN-LSTM with Malfunction Inspection Report
- (2017) Daqian Wei et al. Energies
- Embodied GHGs in a Fast Growing City: Looking at the Evolution of a Dwelling Stock using Structural Element Breakdown and Policy Scenarios
- (2017) Verena Göswein et al. JOURNAL OF INDUSTRIAL ECOLOGY
- A Hybrid Approach for Evaluating Faulty Behavior Risk of High-Risk Operations Using ANP and Evidence Theory
- (2017) Xia-Zhong Zheng et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- Text-Attentional Convolutional Neural Network for Scene Text Detection
- (2016) Tong He et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Learning distributed word representation with multi-contextual mixed embedding
- (2016) Jianqiang Li et al. KNOWLEDGE-BASED SYSTEMS
- Semantic expansion using word embedding clustering and convolutional neural network for improving short text classification
- (2016) Peng Wang et al. NEUROCOMPUTING
- Enabling Semantic Search based on Conceptual Graphs over Encrypted Outsourced Data
- (2016) Zhangjie Fu et al. IEEE Transactions on Services Computing
- SysDetect: A systematic approach to critical state determination for Industrial Intrusion Detection Systems using Apriori algorithm
- (2015) Abdullah Khalili et al. JOURNAL OF PROCESS CONTROL
- Sankey diagram framework for energy and exergy flows
- (2014) Kamal Soundararajan et al. APPLIED ENERGY
- A hybrid approach for safety assessment in high-risk hydropower-construction-project work systems
- (2014) Jian-Lan Zhou et al. SAFETY SCIENCE
- Invariant Scattering Convolution Networks
- (2013) Joan Bruna et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Collaborative work with linear classifier and extreme learning machine for fast text categorization
- (2013) Wenbin Zheng et al. WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS
- Use of association rules to explore cause–effect relationships in occupational accidents in the Taiwan construction industry
- (2010) Ching-Wu Cheng et al. SAFETY SCIENCE
- Towards an autonomous real-time tracking system of near-miss accidents on construction sites
- (2009) Weiwei Wu et al. AUTOMATION IN CONSTRUCTION
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now