5 papers indexed
Conveyor-belt inspection asks a vision system to find the belt, measure its geometry, tell an empty return strand from a loaded one, and flag damage or foreign objects, and the honest difficulty is that most published demonstrations run on private field footage that no one else c…
Version 2.1 (revised). Operational earthquake forecasting (OEF) issues calibrated conditional probabilities of future seismicity; the Epidemic-Type Aftershock Sequence (ETAS) model is its de-facto benchmark, and under fair, prospective, CSEP-style testing no machine-learning temp…
Operational earthquake forecasting (OEF) issues calibrated conditional probabilities of future seismicity; the Epidemic-Type Aftershock Sequence (ETAS) model is its de-facto benchmark, and no machine-learning temporal point process has been shown to beat a well-fit ETAS prospecti…
Physics-informed neural networks (PINNs) are promoted as a general differential-equation solver, but the accuracy actually achieved varies by orders of magnitude across problem types, and that variation is rarely laid out in one place. This report is a method atlas: a runnable ca…
Logging the lithology of drill core, identifying the rock type down a borehole from the physical core in its trays, is slow, subjective manual work, and automating it from core-tray photographs is an obvious target for computer vision. The catch is data: labelled core photographs…