Abstract: The use of uncrewed aerial vehicles (UAVs) has grown across various fields, requiring accurate localization for efficiency. Reliance on GPS poses issues like interference and signal loss.
Abstract: The performance of hyperspectral image (HSI) classifiers is highly sensitive to the configuration of their hyperparameters (HPs). However, manual tuning is inefficient and impractical, ...
A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
This project is an educational and research-oriented implementation that benchmarks and compares different metaheuristic algorithms for solving VRPTW problems. The VRPTW is a classic NP-hard ...
The final, formatted version of the article will be published soon. This work reports on a pilot study for optimizing the design of a fast neutron irradiation experiment in a thermal neutron spectrum, ...
a python‑based ai system stability and evaluation framework integrating neural models, semantic analysis, statistical evaluation, hyperparameter optimization, and robustness testing to ensure ...
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