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Found 3 papers, 0 papers with code
Hierarchical Climate Control Strategy for Electric Vehicles with Door-Opening Consideration
Three controllers are compared using the simulation model: (i) a hierarchical non-linear model predictive control (NMPC) with a unique coolant dividing layer and a component for cabin air inflow regulation based on door-opening signals; (ii) a single MPC controller; and (iii) a rule-based controller.
Optimizing Language Augmentation for Multilingual Large Language Models: A Case Study on Korean
This study proposed three strategies to enhance the performance of LRLs based on the publicly available MLLMs.
Highly-scalable stochastic neuron based on Ovonic Threshold Switch (OTS) and its applications in Restricted Boltzmann Machine (RBM)
Interest in Restricted Boltzmann Machine (RBM) is growing as a generative stochastic artificial neural network to implement a novel energy-efficient machine-learning (ML) technique.
