Abstract: Forest plot mapping is a significant task in forest inventories by providing accurate structural parameters. However, understory mapping still predominantly relies on terrestrial laser ...
STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...
SCE-UA is a lightweight Python package implementing the Shuffled Complex Evolution (SCE-UA) algorithm for global optimization. Designed primarily for hydrological model calibration, it leverages NumPy ...
Abstract: Non-negative Matrix Factorization (NMF) has been an ideal tool for machine learning. Non-negative Matrix Tri-Factorization (NMTF) is a generalization of NMF that incorporates a third ...
In this video, we put a stock Porsche 911 Turbo S against a modified Turbo S to see how much difference tuning really makes. From launch control to top-end pulls, this drag race reveals whether the ...