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Prediction of Ground Properties Using Machine Learning Techniques. – References till 2009

An empirical study on the effect of spatial variability of block-type cement-treated ground on the bearing capacity of foundation under inclined load – References Till 2010

Artificial Intelligence in Geotechnical Engineering: Applications, Modeling Aspects, and Future Predictions. – References till 2010

A critical review on the Automated Methods and Systems for Construction Planning and Scheduling. – References till 2011

Challenges in geotechnical design revealed by reliability assessment: Review and future perspectives – References till 2011

Modelling pile capacity and load-settlement behaviour of piles embedded in sand & mixed soils using artificial intelligence. – References till 2012

A critical review of artificial intelligence applications in TBM, NATM & NMT Tunnels.- References till 2012

Prediction of maximum surface settlement caused by earth pressure balance (EPB) shield tunneling with ANN methods.-References till 2013

Modeling load-settlement behavior of driven piles embedded in cohesive soils using artificial neural networks. REFERENCES TILL 2013

A case study on the Predictive and Prescriptive Analytics in Underground space structures. RWFERENCES TILL 2014

Genetic programming for modelling of soil – structure interactions. REFERENCES TILL 2014

An empirical study on the methods and Instruments for Automated Geotechnical Monitoring. REFERENCES TILP 2015

Modelling soil behaviour in uniaxial strain conditions by neural networks. REFERENCES TILL 2015

Applications of Artificial Intelligence and Machine Learning in Geotechnical Engineering. REFERENCES TILL 2016

Automation of the Digital Information Workflow in the Geotechnical Design Process. REFERENCES TILL 2016

Emerging technologies and the future of geotechnical instrumentation. REFERENCES TILL 2017

Automatic Damage Detection using Machine Learning and Deep Learning. REFERENCES TILL 2017

Automation and Artificial Intelligence in Construction and Management of Civil Infrastructure. REFERENCES TILL 2018

A Machine Learning Framework for Predicting Displacements due to Deep excavations and Tunnels. REFERENCES TILL 2018

Automation in Civil Engineering Design in Assessing Underground Space Energy Efficiency. REFERENCES TILL 2019

Forecasting displacement of underground caverns using machine learning techniques. REFERENCES TILL 2019

A Comparative Analysis of Utilization of Advanced Techniques for Ground Improvements in weak soils. REFERENCES TILL 2020

Accident prediction in construction using hybrid wavelet-machine learning. REFERENCES TILL 2020

An empirical study on the best prediction model of water inflow into drill and blast tunnels among several machine learning techniques. REFERENCES TILL 2018

State-of-the-art review of some artificial intelligence applications in Deep Excavations. REFERENCES TILL 2020

Machine Learning Applications in Civil Engineering: An empirical study. REFERENCES TILL 2021

An empirical study on the benefits of civil systems connectivity and automation – a discussion in the context of Metro transport. REFERENCES TILL 2017

Machine learning aids earthquake risk prediction. REFERENCES TILL 2018

Modelling soil behaviour in uniaxial strain conditions by neural networks. REFERENCES TILL 2017

Machine Learning Applications for Site Characterization Based on CPT Data. REFERENCES TILL 2016

Reducing the risks in geotechnical engineering using artificial intelligence techniques. REFERENCES TILL 2021

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