Healio

Q&A: Objective cough monitoring tools valuable, but need real-world validation

When monitoring cough, both subjective and objective measures are needed, but use of objective cough counting tools is ...
IEEE

Inverse Q-Learning Optimal Control for Takagi–Sugeno Fuzzy Systems

Abstract: Inverse reinforcement learning optimal control is under the framework of learner–expert, the learner system can learn expert system's trajectory and optimal control policy via a ...
IEEE

A Q-Learning-Based Particle Swarm Optimization for Aircraft Routing and Scheduling in Airport Terminal Area

Abstract: As the airport terminal area becomes progressively crowded, costly delays and adverse environmental impact due to excessive fuel burn require effective aircraft routing and scheduling in the ...
Scientific Research Publishing

Boosting Algorithm: An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ()

Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and limited ...