Multi-experts scheduling system for real-time applications

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Functional data are typically modeled as sample paths of smooth stochastic processes in order to mitigate the fact that they are often observed discretely and noisily, occasionally irregularly and sparsely. The smoothness assumption is imposed to allow for ...

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Multi-experts scheduling system for real-time applications

Chat with Graph Search

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

Oligolithic Cross-task Optimizations across Isolated Workloads

Measurement of the Higgs boson production via vector boson fusion and its decay into bottom quarks in proton-proton collisions at √s=13 TeV

Instabilities in Elastic and Magneto-Elastic Beams and Shells: from Shell Buckling to the Design of a Programmable Braille Reader

Seeking the new, learning from the unexpected: Computational models of surprise and novelty in the brain

Euclid: Improving the efficiency of weak lensing shear bias calibration

The Influence of the Planetary Boundary Layer on the Atmospheric State at an Orographic Site at the Eastern Mediterranean

The Haptic Link Enabling Driver-Automation Teaming

Design ontology for cognitive thread supporting traceability management in model-based systems engineering

Machine Learning for Modeling Stock Returns

Functional data analysis with rough sample paths?

RE:SLAB — a load bearing system for open-ended component reuse in building structures