Retraction notice to “Uncalibrated dynamic visual servoing via multivariate adaptive regression splines and improved incremental extreme learning machine” [ISA Transactions 92 (2019) 298–314]

Regression Splines ◽

Adaptive Regression ◽

Retraction Notice ◽

Learning Machine ◽

RETRACTED: Uncalibrated dynamic visual servoing via multivariate adaptive regression splines and improved incremental extreme learning machine

ISA Transactions ◽

10.1016/j.isatra.2019.02.029 ◽

2019 ◽

Vol 92 ◽

pp. 298-314 ◽

Cited By ~ 2

Author(s):

Zhiyu Zhou ◽

Ruoxi Zhang ◽

Zefei Zhu

Keyword(s):

Extreme Learning Machine ◽

Visual Servoing ◽

Regression Splines ◽

Adaptive Regression ◽

Learning Machine ◽

Estimating heating load in buildings using multivariate adaptive regression splines, extreme learning machine, a hybrid model of MARS and ELM

Renewable and Sustainable Energy Reviews ◽

10.1016/j.rser.2017.05.249 ◽

2018 ◽

Vol 82 ◽

pp. 4256-4268 ◽

Cited By ~ 35

Author(s):

Sanjiban Sekhar Roy ◽

Reetika Roy ◽

Valentina E. Balas

Keyword(s):

Extreme Learning Machine ◽

Hybrid Model ◽

Regression Splines ◽

Adaptive Regression ◽

Heating Load ◽

Learning Machine ◽

Estimation of modified expansive soil CBR with multivariate adaptive regression splines, random forest and gradient boosting machine

Innovative Infrastructure Solutions ◽

10.1007/s41062-021-00568-z ◽

2021 ◽

Vol 6 (4) ◽

Author(s):

Chijioke Christopher Ikeagwuani

Keyword(s):

Random Forest ◽

Expansive Soil ◽

Gradient Boosting ◽

Regression Splines ◽

Gradient Boosting Machine ◽

Adaptive Regression ◽

Prediction of transportation energy demand: Multivariate Adaptive Regression Splines

Energy ◽

10.1016/j.energy.2021.120090 ◽

2021 ◽

Vol 224 ◽

pp. 120090

Author(s):

Mohammad Ali Sahraei ◽

Hakan Duman ◽

Muhammed Yasin Çodur ◽

Ecevit Eyduran

Keyword(s):

Energy Demand ◽

Regression Splines ◽

Transportation Energy ◽

Adaptive Regression ◽

Assessment of rockburst risk using multivariate adaptive regression splines and deep forest model

Acta Geotechnica ◽

10.1007/s11440-021-01299-2 ◽

2021 ◽

Author(s):

Deping Guo ◽

Hemao Chen ◽

Libin Tang ◽

Zhixiong Chen ◽

Pijush Samui

Keyword(s):

Regression Splines ◽

Forest Model ◽

Deep Forest ◽

Adaptive Regression ◽

Global Optimization With Multivariate Adaptive Regression Splines

IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) ◽

10.1109/tsmcb.2006.883430 ◽

2007 ◽

Vol 37 (2) ◽

pp. 333-340 ◽

Cited By ~ 31

Author(s):

Scott Crino ◽

Donald E. Brown

Keyword(s):

Global Optimization ◽

Regression Splines ◽

Adaptive Regression ◽

Flexible and Robust Implementations of Multivariate Adaptive Regression Splines Within a Wastewater Treatment Stochastic Dynamic Program

Quality and Reliability Engineering International ◽

10.1002/qre.708 ◽

2005 ◽

Vol 21 (7) ◽

pp. 689-699 ◽

Cited By ~ 9

Author(s):

Julia C. C. Tsai ◽

Victoria C. P. Chen

Keyword(s):

Wastewater Treatment ◽

Dynamic Program ◽

Stochastic Dynamic ◽

Regression Splines ◽

Adaptive Regression ◽

Stochastic Dynamic Program ◽

Performance of Multivariate Adaptive Regression Splines (MARS) in predicting runoff in mid-Himalayan micro-watersheds with limited data / Performances de régressions par splines multiples et adaptives (MARS) pour la prévision d'écoulement au sein de micro-bassins versants Himalayens d'altitudes intermédiaires avec peu de données

Hydrological Sciences Journal ◽

10.1623/hysj.53.6.1165 ◽

2008 ◽

Vol 53 (6) ◽

pp. 1165-1175 ◽

Cited By ~ 68

Author(s):

V. N. SHARDA ◽

S. O. PRASHER ◽

R. M. PATEL ◽

P. R. OJASVI ◽

CHANDRA PRAKASH

Keyword(s):

Regression Splines ◽

Limited Data ◽

Adaptive Regression ◽

Prediction of chloride diffusion in cement mortar using Multi-Gene Genetic Programming and Multivariate Adaptive Regression Splines

Measurement ◽

10.1016/j.measurement.2017.08.031 ◽

2017 ◽

Vol 112 ◽

pp. 141-149 ◽

Cited By ~ 21

Author(s):

Nhat-Duc Hoang ◽

Chun-Tao Chen ◽

Kuo-Wei Liao

Keyword(s):

Genetic Programming ◽

Cement Mortar ◽

Chloride Diffusion ◽

Regression Splines ◽

Adaptive Regression ◽

A Multivariate Adaptive Regression Splines model for determining horizontal wall deflection envelope for braced excavations in clays

Tunnelling and Underground Space Technology ◽

10.1016/j.tust.2018.11.046 ◽

2019 ◽

Vol 84 ◽

pp. 461-471 ◽

Cited By ~ 21

Author(s):

Wengang Zhang ◽

Runhong Zhang ◽

Wei Wang ◽

Fan Zhang ◽

Anthony Teck Chee Goh

Keyword(s):

Regression Splines ◽

Wall Deflection ◽

Braced Excavations ◽

Adaptive Regression ◽

Horizontal Wall ◽