FIELD NOTES TOPIC
germany
3 notes, newest first.
Efficient Waste Sorting for Circular Economy: A Confidence-guided comparison between One-Vs-All and One-Vs-Rest Classification Strategies with Human-in-the-Loop for Automated Waste Sorting
This research evaluates and compares two waste sorting classification strategies, One-Vs-All (OvA) and One-Vs-Rest (OvR), for automated waste sorting in the city of Goslar, Germany. The study considers the performance…
Efficient Waste Sorting for Circular Economy: A Confidence-guided comparison between One-Vs-All and One-Vs-Rest Classification Strategies with Human-in-the-Loop for Automated Waste Sorting
Researchers evaluated and analyzed two waste sorting algorithms, OvA and OvR, using a dataset based on the waste categories and sorting scheme of Goslar, Germany. The goal is to minimize misclassifications while…
Simulation-based inference for rapid Bayesian parameter estimation in epidemiological models: a comparison with MCMC
Researchers compare Simulation-Based Inference (SBI) with Markov chain Monte Carlo (MCMC) methods for Bayesian calibration of a mechanistic epidemiological model using COVID-19 ICU occupancy data from Germany in 2020…
