Abstract: This paper introduces GA-VAE, a fine-tuning framework that enhances local feature representation in pre-trained Vector Quantized-VAE (VQ-VAE) models through genetic algorithm-based ...
Abstract: Hyperparameter optimization on machine learning models is crucial for their correct refinement. For complex big models such as deep learning (DL) models, in which a single training model is ...
ABSTRACT: NILM (Nonintrusive Load Monitoring) or appliance recognition software that uses algorithms, namely Hidden Markov Model (HMM) and Factorial HMM, to detect changes in electricity values ...
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