Bagging and Multilayer Perceptron Hybrid Intelligence Models Predicting the Swelling Potential of Soil

The Effectiveness of Ensemble-Neural Network Techniques to Predict Peak Uplift Resistance of Buried Pipes in Reinforced Sand

(2021) Jie Zeng et al.   Applied Sciences-Basel

Prediction of Swelling Index Using Advanced Machine Learning Techniques for Cohesive Soils

(2021) Mohammed Amin Benbouras et al.   Applied Sciences-Basel

Genetic justification of severe COVID-19 using a rigorous algorithm

(2021) Eleni Gavriilaki et al.   CLINICAL IMMUNOLOGY

Predictive modeling of swell-strength of expansive soils using artificial intelligence approaches: ANN, ANFIS and GEP

(2021) Fazal E. Jalal et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Deep learning-based appearance features extraction for automated carp species identification

(2020) Ashkan Banan et al.   AQUACULTURAL ENGINEERING

A novel ensemble computational intelligence approach for the spatial prediction of land subsidence susceptibility

(2020) Alireza Arabameri et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Experimental study to examine the independent roles of lime and cement on the stabilization of a mountain soil: A comparative study

(2018) L.K. Sharma et al.   APPLIED CLAY SCIENCE

Carbon emission of global construction sector

(2018) Lizhen Huang et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Regression-based models for the prediction of unconfined compressive strength of artificially structured soil

(2017) L. K. Sharma et al.   ENGINEERING WITH COMPUTERS

Uncertainty assessment of the multilayer perceptron (MLP) neural network model with implementation of the novel hybrid MLP-FFA method for prediction of biochemical oxygen demand and dissolved oxygen: a case study of Langat River

(2017) Bahare Raheli et al.   Environmental Earth Sciences

Stabilization of expansive soil using industrial wastes

(2017) Soumendra K. Mohanty et al.   Geomechanics and Engineering

Effect of pore fluid on compressibility and collapse of clayey sand

(2017) A P Das et al.   Environmental Geotechnics

A semi-empirical swell prediction model formulated from ‘clay mineralogy and unsaturated soil’ properties

(2016) Anand J. Puppala et al.   ENGINEERING GEOLOGY

Evaluating the modulus of elasticity of soil using soft computing system

(2016) L. K. Sharma et al.   ENGINEERING WITH COMPUTERS

Gaussian process regression with multiple response variables

(2015) Bo Wang et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Using cement dust to reduce swelling of expansive soil

(2014) Raddi M. AlZubaidi et al.   Geomechanics and Engineering

Prediction of swelling pressures of expansive soils using soft computing methods

(2012) S. Banu Ikizler et al.   NEURAL COMPUTING & APPLICATIONS

Towards a dimensionless description of soil swelling behaviour

(2011) O. BUZZI et al.   GEOTECHNIQUE

Prediction of swelling pressures of expansive soils using artificial neural networks

(2010) S. Banu Ikizler et al.   ADVANCES IN ENGINEERING SOFTWARE

Multiple regression, ANN (RBF, MLP) and ANFIS models for prediction of swell potential of clayey soils

(2010) Işık Yilmaz et al.   EXPERT SYSTEMS WITH APPLICATIONS

Prediction of swelling pressure of soil using artificial intelligence techniques

(2009) Sarat Kumar Das et al.   Environmental Earth Sciences

Adaptive neuro-fuzzy modeling for the swelling potential of compacted soils

(2009) C. Kayadelen et al.   Environmental Earth Sciences

A case study for mapping of spatial distribution of free surface heave in alluvial soils (Yalova, Turkey) by using GIS software

(2007) Işık Yilmaz   COMPUTERS & GEOSCIENCES