This brief presents a framework that delivers a certification-oriented dashboard of admissible nonlinear model predictive control (NMPC) implementation settings. This differs from the commonly adopted ...

Inspired by the idea of distributed computing, an RSMA-assisted distributed computation offloading scheme (RDCOS) in vehicular networks is designed, where various computation auxiliary nodes (CANs) ...

Learn how the Adagrad optimization algorithm works and see how to implement it step by step in pure Python — perfect for beginners in machine learning! #Adagrad #MachineLearning #PythonCoding ...

I want to pass some additional context to my semantic kernel plugins for each request. Scenario: I currently have different plugins for retrieving search documents or images from my vector index. For ...

This study presents a theoretical framework for predicting the solid–liquid interfacial free energy (γ) of FCC systems using the two-mode Ginzburg–Landau (GL) model, refined with atomistic simulation ...

We consider the problem of estimating the energy of a quantum state preparation for a given Hamiltonian in Pauli decomposition. For various quantum algorithms, in particular, in the context of quan ...