Surinder Deswal

State-of-the-art review of soft computing applications in underground excavations

Prediction of undrained shear strength using extreme gradient boosting and random forest based on Bayesian optimization

Prediction of mechanical properties of green concrete incorporating waste foundry sand based on gene expression programming

Taking the Human Out of the Loop: A Review of Bayesian Optimization

Combining machine learning models via adaptive ensemble weighting for prediction of shear capacity of reinforced-concrete deep beams

An evolutionary approach for modeling of shear strength of RC deep beams

A random forest guided tour

Text mining-based construction site accident classification using hybrid supervised machine learning

Decision Forests: A Unified Framework for Classification, Regression, Density Estimation, Manifold Learning and Semi-Supervised Learning

Anthropometric measures for better cardiovascular and musculoskeletal health

Predicting behavior of FRP-confined concrete using neuro fuzzy, neural network, multivariate adaptive regression splines and M5 model tree techniques

Semi-Supervised Learning Based Prediction of Musculoskeletal Disorder Risk

M5 model tree based modelling of reference evapotranspiration

An anthropometric survey of industrial workers of the northern region of India

Support vector regression based shear strength modelling of deep beams

Modeling Pile Capacity Using Support Vector Machines and Generalized Regression Neural Network