Abstract This work deals with the resistance induced by interconnecting shingle solar cells means of an electrically conductive adhesive (ECA), which is labeled R int throughout work. A new approach to measure directly from joints actual strings presented and evaluated. For non‐laminated two different ECAs that are applied as a continuous line on shingles edge length 158.75 mm, similar intercon...

The approaches taken to describe and develop spatial discretisations of the domains required for geophysical simulation models are commonly ad hoc, model or application specific and under-documented. This is particularly acute for simulation models that are flexible in their use of multi-scale, anisotropic, fully unstructured meshes where a relatively large number of heterogeneous parameters ar...

Abstract Despite recent research efforts in advancing machine learning (ML) tools to predict nearshore characteristics at sea defences, less attention has been paid ML algorithms predicting scouring vertical seawalls. In this study, four approaches were investigated, including gradient boosting decision trees (GBDT), random forest (RF), support vector regression (SVR), and ridge (RR). These uti...

Awkward kneeling in sloped shingle installation operations exposes roofers to knee musculoskeletal disorder (MSD) risks. To address the varying levels of risk associated with different phases installation, this research investigated utilizing machine learning automatically classify seven distinct a typical task. The classification process relied on analyzing kinematics data and roof slope infor...