Explainable Machine Learning for Autonomous Vehicle Positioning Using SHAP

Explainable Machine Learning for Autonomous Vehicle Positioning Using SHAP

Despite recent advancements in Autonomous Vehicle (AV) technology, safety remains a significant challenge for commercialization and development. The navigation system is crucial for AV safety, with road localization relying on accurate Global Navigation Satellite System (GNSS) positioning. However, GNSS may experience signal loss in urban environments. We previously proposed the Wheel Odometry Neural Network (WhONet)…

Improved prediction of clay soil expansion using machine learning algorithms and meta-heuristic dichotomous ensemble classifiers

Improved prediction of clay soil expansion using machine learning algorithms and meta-heuristic dichotomous ensemble classifiers

Soil swelling disasters pose significant geo-hazard risks, necessitating accurate estimation of soil expansion for infrastructure safety. This study introduces an innovative approach using kernelized machines (BLR, BPM, SVM, D-SVM), linear regressors (REG, LR, ANN), and tree-based algorithms (RDF, BDT). Meta-heuristic classifiers (VE, SE) are also utilized for the first time. Various feature combinations influencing soil…

Machine learning regression and classification algorithms utilised for strength prediction of Improved clays

Machine learning regression and classification algorithms utilised for strength prediction of Improved clays

This study applies various machine learning (ML) models to predict soil strength after part-substituting OPC with PFA and GGBS. Stand-alone ML models (BLR, REG, ANN, LR), tree-ensemble ML models (BDT, RDF, DJ), and meta-ensemble ML models (VE, SE) are used. Regression analysis shows higher variance in OPC-substituted predictor variables compared to OPC-alone soils. REG model…

Fibre-Reinforced Clay Blended with By-Product Cementitious Materials

Fibre-Reinforced Clay Blended with By-Product Cementitious Materials

Clayey soils experience strength and volume changes due to moisture and temperature variations. High cement content improves their mechanical properties, but environmental concerns call for greener techniques using industrial by-products and synthetic fibers. This study investigates polypropylene and glass fiber-reinforced cement-clay mixtures with GGBS, lime, and micro silica. Tests on unconfined compressive strength, linear expansion,…

Incorporation of a nanotechnology-based product in cementitious binders to mitigate soil heave

Incorporation of a nanotechnology-based product in cementitious binders to mitigate soil heave

Sulphate-induced heaving in soils, often caused by calcium-based binders, leads to ettringite mineral growth. “RoadCem” (RC), a nanotechnology-based additive, has shown potential to reduce this heaving. Research focused on substituting cement with ground granulated blast furnace slag (GGBS) and adding RC to sulphate-bearing soil stabilizers. Lab tests, including swelling and compression, were conducted. Results showed…