Research on predicting the productivity of cutter suction dredgers based on data mining with model stacked generalization

Data mining approach to construction productivity prediction for cutter suction dredgers

(2019) Shuo Bai et al.   AUTOMATION IN CONSTRUCTION

Stacked generalization: an introduction to super learning

(2018) Ashley I. Naimi et al.   EUROPEAN JOURNAL OF EPIDEMIOLOGY

Mapping forest change using stacked generalization: An ensemble approach

(2018) Sean P. Healey et al.   REMOTE SENSING OF ENVIRONMENT

Study on a prediction of P2P network loan default based on the machine learning LightGBM and XGboost algorithms according to different high dimensional data cleaning

(2018) Xiaojun Ma et al.   Electronic Commerce Research and Applications

Novel Method of Construction-Efficiency Evaluation of Cutter Suction Dredger Based on Real-Time Monitoring Data

(2018) Mingchao Li et al.   JOURNAL OF WATERWAY PORT COASTAL AND OCEAN ENGINEERING

Beneficial use of dredged sediment to enhance salt marsh development by applying a ‘Mud Motor’

(2018) Martin J. Baptist et al.   ECOLOGICAL ENGINEERING

$L1$ -Norm Batch Normalization for Efficient Training of Deep Neural Networks

(2018) Shuang Wu et al.   IEEE Transactions on Neural Networks and Learning Systems

Support vector regression for predicting the productivity of higher education graduate students from individually developed software projects

(2017) Cuauhtémoc López-Martín et al.   IET Software

Earthquake Prediction based on Spatio-Temporal Data Mining: An LSTM Network Approach

(2017) Qianlong Wang et al.   IEEE Transactions on Emerging Topics in Computing

Modeling fluid pressure effects when cutting saturated rock

(2016) R.L.J. Helmons et al.   ENGINEERING GEOLOGY

Smoothing Parameter and Model Selection for General Smooth Models

(2016) Simon N. Wood et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Generalized LASSO with under-determined regularization matrices

(2016) Junbo Duan et al.   SIGNAL PROCESSING

Applying Artificial Neural Networks for Measuring and Predicting Construction-Labor Productivity

(2015) Gholamreza Heravi et al.   JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT

Prediction of Dredging Productivity Using a Rock and Soil Classification Model

(2015) Pan Yue et al.   JOURNAL OF WATERWAY PORT COASTAL AND OCEAN ENGINEERING

Optimizing Dredge-and-Dump Activities for River Navigability Using a Hydro-Morphodynamic Model

(2015) Andries Paarlberg et al.   Water

Applying Artificial Neural Networks for Measuring and Predicting Construction-Labor Productivity

(2015) Gholamreza Heravi et al.   JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT

Prediction of Dredging Productivity Using a Rock and Soil Classification Model

(2015) Pan Yue et al.   JOURNAL OF WATERWAY PORT COASTAL AND OCEAN ENGINEERING

Neurofuzzy-Based Productivity Prediction Model for Horizontal Directional Drilling

(2014) Tarek Zayed et al.   Journal of Pipeline Systems Engineering and Practice

Improved Iteratively Reweighted Least Squares for Unconstrained Smoothed $\ell_q$ Minimization

(2013) Ming-Jun Lai et al.   SIAM JOURNAL ON NUMERICAL ANALYSIS

EVALUATION OF CLASSIFICATION ALGORITHMS USING MCDM AND RANK CORRELATION

(2012) GANG KOU et al.   INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING

Supervised vs. unsupervised learning for construction crew productivity prediction

(2011) Mustafa Oral et al.   AUTOMATION IN CONSTRUCTION

Productivity matching and quantitative prediction of coalbed methane wells based on BP neural network

(2011) YuMin Lü et al.   Science China-Technological Sciences

Influence functions of the Spearman and Kendall correlation measures

(2010) Christophe Croux et al.   Statistical Methods and Applications

Automatic monitoring and control of cutter suction dredger

(2008) Jianzhong Tang et al.   AUTOMATION IN CONSTRUCTION

Expert system for operation optimization and control of cutter suction dredger

(2007) Jian-Zhong Tang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Online fault diagnosis and prevention expert system for dredgers

(2006) Jian-Zhong Tang et al.   EXPERT SYSTEMS WITH APPLICATIONS