Let's talk about that graveyard of old phones you've got stashed in a kitchen drawer. Instead of letting them collect dust until they're literal ancient artifacts, it's time to put one of those bricks ...
Abstract: Distributed detection methods based on local observation censoring are widely employed in systems with asynchronous sensors owing to their low communication costs and high surveillance ...
Abstract: As a practical and versatile unmanned aerial vehicle, quadrotor drones demonstrate significant application value across multiple fields. This paper first systematically reviews the current ...
The PLoM (Probabilistic Learning on Manifolds) software is a MATLAB-based toolbox designed to perform advanced probabilistic modeling and learning on manifolds. It is particularly useful for analyzing ...
This project demonstrates image degradation and restoration using classical Digital Image Processing (DIP) techniques implemented in MATLAB. It simulates Gaussian noise, applies multiple spatial ...
Forecasting human behavior from sensor-derived biometrics poses a modeling challenge encountered across statistical domains: balancing interpretability against model power. On one hand, polynomial ...
You will be redirected to our submission process. Plant physiological ecology has increasingly recognized volatile organic compounds (VOCs) as integral mediators of plant responses to environmental ...
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