An automated machine learning approach for classifying infrastructure cost data

Using machine learning to analyze and predict construction task productivity

(2022) Laura Florez‐Perez et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

IIb‐RAD‐sequencing coupled with random forest classification indicates regional population structuring and sex‐specific differentiation in salmon lice ( Lepeophtheirus salmonis )

(2022) Prashanna Guragain et al.   Ecology and Evolution

Machine learning-aided engineering services' cost overruns prediction in high-rise residential building projects: Application of random forest regression

(2022) Shahab Shoar et al.   Journal of Building Engineering

Smart data and business analytics: A theoretical framework for managing rework risks in mega-projects

(2022) Jane Matthews et al.   INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT

Deep semantic segmentation for visual understanding on construction sites

(2021) Zifeng Wang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Natural language processing for smart construction: Current status and future directions

(2021) Chengke Wu et al.   AUTOMATION IN CONSTRUCTION

Artificial neural networks for intelligent cost estimation – a contribution to strategic cost management in the manufacturing supply chain

(2021) Frank Bodendorf et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Evaluation of Conditioning Factors of Slope Instability and Continuous Change Maps in the Generation of Landslide Inventory Maps Using Machine Learning (ML) Algorithms

(2021) Rocío N. Ramos-Bernal et al.   Remote Sensing

A Hybrid PSO–SVM Model Based on Safety Risk Prediction for the Design Process in Metro Station Construction

(2020) Ping Liu et al.   International Journal of Environmental Research and Public Health

Development of a Prediction Model for Demolition Waste Generation Using a Random Forest Algorithm Based on Small DataSets

(2020) Gi-Wook Cha et al.   International Journal of Environmental Research and Public Health

Activity recognition of construction equipment using fractional random forest

(2020) Armin Kassemi Langroodi et al.   AUTOMATION IN CONSTRUCTION

Cost Estimation Model Using Modified Parameters for Construction Projects

(2019) Sae-Hyun Ji et al.   Advances in Civil Engineering

Automatic detection of inconsistencies between numerical scores and textual feedback in peer-assessment processes with machine learning

(2019) Juan Ramón Rico-Juan et al.   COMPUTERS & EDUCATION

Artificial Intelligence and Parametric Construction Cost Estimate Modeling: State-of-the-Art Review

(2019) Haytham H. Elmousalami   JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT

Trees vs Neurons: Comparison between random forest and ANN for high-resolution prediction of building energy consumption

(2017) Muhammad Waseem Ahmad et al.   ENERGY AND BUILDINGS

Predicting redox-sensitive contaminant concentrations in groundwater using random forest classification

(2017) Anthony J. Tesoriero et al.   WATER RESOURCES RESEARCH

An Approach for the Automatic Classification of Work Descriptions in Construction Projects

(2015) María Martínez-Rojas et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

A Natural-Language-Based Approach to Intelligent Data Retrieval and Representation for Cloud BIM

(2015) Jia-Rui Lin et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

A new boosting design of Support Vector Machine classifiers

(2015) Efraín Mayhua-López et al.   Information Fusion

ε-Proximal support vector machine for binary classification and its application in vehicle recognition

(2015) Guangyu Zhu et al.   NEUROCOMPUTING

Probabilistic expression of Polynomial Semantic Indexing and its application for classification

(2013) Kentaro Minoura et al.   PATTERN RECOGNITION LETTERS

Mathematical model of a laboratory-scale plant for slaughterhouse effluents biodigestion for biogas production

(2012) E. Martinez et al.   APPLIED ENERGY

Improving classification accuracy of project dispute resolution using hybrid artificial intelligence and support vector machine models

(2012) Jui-Sheng Chou et al.   EXPERT SYSTEMS WITH APPLICATIONS

Evolutionary fuzzy decision model for construction management using support vector machine

(2010) Min-Yuan Cheng et al.   EXPERT SYSTEMS WITH APPLICATIONS

Evolutionary support vector machine inference system for construction management

(2009) Min-Yuan Cheng et al.   AUTOMATION IN CONSTRUCTION

Management and analysis of unstructured construction data types

(2008) Lucio Soibelman et al.   ADVANCED ENGINEERING INFORMATICS