AIMC Topic: Construction Industry

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Prediction of Equipment Effectiveness using Hybrid Moving Average-Adaptive Neuro Fuzzy Inference System (MA-ANFIS) for decision support in Bus Body Building Industry.

Anais da Academia Brasileira de Ciencias Dec 9, 2022
Managers are driven to accomplish significantly higher levels of operational performance due to the difficulty of today's dynamic production environment. Typically, the precision of production facilities and the efficiency of manufacturing systems ar...
Fuzzy Logic Construction Industry Neural Networks, Computer
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Exploring the Application of BIM Technology in the Whole Process of Construction Cost Management with Computational Intelligence.

Computational intelligence and neuroscience Sep 9, 2022
The construction industry is a labor-intensive industry in China. In recent years, as people's living standards have risen, so have their requirements for the functionality, appearance, and comfort of buildings. The amount of information attached to ...
Humans Artificial Intelligence Construction Industry Engineering Software Technology
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Characterizing accident narratives with word embeddings: Improving accuracy, richness, and generalizability.

Journal of safety research Dec 29, 2021
INTRODUCTION: Ensuring occupational health and safety is an enormous concern for organizations, as accidents not only harm workers but also result in financial losses. Analysis of accident data has the potential to reveal insights that may improve ca...
Construction Industry Occupational Health Humans Machine Learning Data Mining Accidents
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Fiber Optic Sensors Embedded in Textile-Reinforced Concrete for Smart Structural Health Monitoring: A Review.

Sensors (Basel, Switzerland) Jul 21, 2021
The last decade has seen rapid developments in the areas of carbon fiber technology, additive manufacturing technology, sensor engineering, i.e., wearables, and new structural reinforcement techniques. These developments, although from different area...
Fiber Optic Technology Construction Industry Textiles Humans Artificial Intelligence
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Automated technique for high-pressure water-based window cleaning and accompanying parametric study.

PloS one Dec 3, 2020
The maintenance of buildings has become an important issue with the construction of many high-rise buildings in recent years. However, the cleaning of the outer walls of buildings is performed in highly hazardous environments over long periods, and m...
Hydrostatic Pressure Maintenance Robotics Construction Industry Humans Water
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Development of a Prediction Model for Demolition Waste Generation Using a Random Forest Algorithm Based on Small DataSets.

International journal of environmental research and public health Sep 24, 2020
Recently, artificial intelligence (AI) technologies have been employed to predict construction and demolition (C&D) waste generation. However, most studies have used machine learning models with continuous data input variables, applying algorithms, s...
Neural Networks, Computer Algorithms Support Vector Machine Artificial Intelligence Machine Learning Construction Industry Solid Waste
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A Novel Hybrid Model Based on a Feedforward Neural Network and One Step Secant Algorithm for Prediction of Load-Bearing Capacity of Rectangular Concrete-Filled Steel Tube Columns.

Molecules (Basel, Switzerland) Jul 31, 2020
In this study, a novel hybrid surrogate machine learning model based on a feedforward neural network (FNN) and one step secant algorithm (OSS) was developed to predict the load-bearing capacity of concrete-filled steel tube columns (CFST), whereas th...
Steel Weight-Bearing Engineering Databases, Factual Models, Theoretical Construction Materials Construction Industry Neural Networks, Computer Machine Learning
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Method for extraction of airborne LiDAR point cloud buildings based on segmentation.

PloS one May 29, 2020
The LiDAR technology is a means of urban 3D modeling in recent years, and the extraction of buildings is a key step in urban 3D modeling. In view of the complexity of most airborne LiDAR building point cloud extraction algorithms that need to combine...
Cloud Computing Construction Industry Lasers Computer Simulation Remote Sensing Technology Software Humans Algorithms Machine Learning
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Hardhat-Wearing Detection Based on a Lightweight Convolutional Neural Network with Multi-Scale Features and a Top-Down Module.

Sensors (Basel, Switzerland) Mar 27, 2020
Construction sites are dangerous due to the complex interaction of workers with equipment, building materials, vehicles, etc. As a kind of protective gear, hardhats are crucial for the safety of people on construction sites. Therefore, it is necessar...
Humans Safety Neural Networks, Computer Image Processing, Computer-Assisted Construction Industry Occupational Exposure
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A Hybrid PSO-SVM Model Based on Safety Risk Prediction for the Design Process in Metro Station Construction.

International journal of environmental research and public health Mar 5, 2020
Incorporating safety risk into the design process is one of the most effective design sciences to enhance the safety of metro station construction. In such a case, the concept of Design for Safety (DFS) has attracted much attention. However, most of ...
Algorithms Risk Assessment Models, Theoretical Railroads Support Vector Machine Facility Design and Construction Construction Industry
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