An integrated machine learning, noise suppression, and population-based algorithm to improve total dissolved solids prediction
Sign Up to like & getrecommendations! Published in 2021 at "Engineering Applications of Computational Fluid Mechanics"
DOI: 10.1080/19942060.2020.1861987
Abstract: Monitoring the water contaminants is of utmost importance in water resource management. Prediction of the total dissolved solid (TDS) is particularly essential for water quality management and plan... read more here.
Keywords: machine learning; integrated machine; noise suppression; learning noise ... See more keywords
Learning Noise Adapters for Incremental Speech Enhancement
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2024.3482171
Abstract: Incremental speech enhancement (ISE), with the ability to incrementally adapt to new noise domains, represents a critical yet comparatively under-investigated topic. While the regularization-based method has been proposed to solve the ISE task, it usually… read more here.
Keywords: incremental speech; learning noise; speech; noise adapters ... See more keywords
Boolean learning under noise-perturbations in hardware neural networks
Sign Up to like & getrecommendations! Published in 2020 at "Nanophotonics"
DOI: 10.1515/nanoph-2020-0171
Abstract: Abstract A high efficiency hardware integration of neural networks benefits from realizing nonlinearity, network connectivity and learning fully in a physical substrate. Multiple systems have recently implemented some or all of these operations, yet the… read more here.
Keywords: neural networks; boolean learning; noise; noise perturbations ... See more keywords