AIMC Topic: Construction Industry

Clear Filters Showing 31 to 38 of 38 articles

Data-Driven Living Spaces' Heating Dynamics Modeling in Smart Buildings using Machine Learning-Based Identification.

Sensors (Basel, Switzerland) Feb 16, 2020
Modeling and control of the heating feature of living spaces remain challenging tasks because of the intrinsic nonlinear nature of the involved processes as well as the strong nonlinearity of the entailed dynamic parameters in those processes. Althou...
Humans Machine Learning Socioeconomic Factors Construction Industry Heating
View on PubMed DOI

Risk Evaluation Model of Highway Tunnel Portal Construction Based on BP Fuzzy Neural Network.

Computational intelligence and neuroscience Aug 28, 2018
Risk assessment for tunnel portals in the construction stage has been widely recognized as one of the most critical phases in tunnel construction as it easily causes accident than the overall length of a tunnel. However, the risk in tunnel portal con...
Construction Industry Motor Vehicles Computer Simulation Risk Assessment Humans Neural Networks, Computer
View on PubMed DOI

Factors influencing unsafe behaviors: A supervised learning approach.

Accident; analysis and prevention Jun 18, 2018
Despite its potential, the use of machine learning in safety studies had been limited. Considering machine learning's advantage in predictive accuracy, this study used a supervised learning approach to evaluate the relative importance of different co...
Intention Construction Industry Decision Trees Supervised Machine Learning Risk-Taking Social Norms Humans Surveys and Questionnaires ROC Curve Logistic Models
View on PubMed DOI

Construction accident narrative classification: An evaluation of text mining techniques.

Accident; analysis and prevention Sep 1, 2017
Learning from past accidents is fundamental to accident prevention. Thus, accident and near miss reporting are encouraged by organizations and regulators. However, for organizations managing large safety databases, the time taken to accurately classi...
Reproducibility of Results Accidents, Occupational Support Vector Machine Decision Trees Algorithms Accidents Databases, Factual Construction Industry Linear Models Humans Safety Narration Machine Learning Data Mining Bayes Theorem
View on PubMed DOI

An Incremental Radial Basis Function Network Based on Information Granules and Its Application.

Computational intelligence and neuroscience Sep 8, 2016
This paper is concerned with the design of an Incremental Radial Basis Function Network (IRBFN) by combining Linear Regression (LR) and local RBFN for the prediction of heating load and cooling load in residential buildings. Here the proposed IRBFN i...
Neural Networks, Computer Temperature Algorithms Cluster Analysis Fuzzy Logic Humans Construction Industry Linear Models
View on PubMed DOI

Prediction of Soil Deformation in Tunnelling Using Artificial Neural Networks.

Computational intelligence and neuroscience Dec 24, 2015
In the past few decades, as a new tool for analysis of the tough geotechnical problems, artificial neural networks (ANNs) have been successfully applied to address a number of engineering problems, including deformation due to tunnelling in various t...
Construction Industry Soil Humans Algorithms Models, Theoretical Environmental Monitoring Neural Networks, Computer Forecasting Predictive Value of Tests
View on PubMed DOI

Visualizing what's missing: Using deep learning and Bow-Tie diagrams to identify and visualize missing leading indicators in industrial construction.

Journal of safety research Jul 1, 2025
INTRODUCTION: In the construction industry, where safety is paramount, the frequency and severity of workplace incidents remain critical concerns. Therefore, site safety inspections have become essential for health and safety programs. While incident...
Canada Natural Language Processing Deep Learning Accidents, Occupational Construction Industry Occupational Health Root Cause Analysis Data Mining Humans Safety Management
View on PubMed DOI

A deep learning-based algorithm for the detection of personal protective equipment.

PloS one Jan 1, 2025
Personal protective equipment (PPE) is critical for ensuring the safety of construction workers. However, site surveillance images from construction sites often feature multi-size and multi-scale targets, leading to low detection accuracy for PPE in ...
Algorithms Deep Learning Humans Neural Networks, Computer Personal Protective Equipment Construction Industry
View on PubMed DOI
Popular Topics
Recent Journals