Noise robust sound event classification with convolutional neural network
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.07.021
Abstract: Abstract Automatic sound recognition (ASR) is a remarkable field of research in recent years. The ability to automatically recognize sound events through computers in a complex audio environment is very useful for machine hearing, acoustic… read more here.
Keywords: classification; convolutional neural; noise robust; noise ... See more keywords
A noise-robust deep clustering of biomolecular ions improves interpretability of mass spectrometric images
Sign Up to like & getrecommendations! Published in 2023 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btad067
Abstract: Abstract Motivation Mass Spectrometry Imaging (MSI) analyzes complex biological samples such as tissues. It simultaneously characterizes the ions present in the tissue in the form of mass spectra, and the spatial distribution of the ions… read more here.
Keywords: deep clustering; ion images; noise robust; mass ... See more keywords
Noise-Robust Quantum Teleportation with Counterfactual Communication
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3163385
Abstract: Direct counterfactual communication (DCC) based on the dynamic quantum Cheshire cat effect is an interesting protocol for particle-less information transfer. In this paper, we propose a noise-robust, completely counterfactual, teleportation scheme based on the modified… read more here.
Keywords: noise; counterfactual communication; teleportation; robust quantum ... See more keywords
Noise-Robust Fuzzy Classifier Designed With the Aid of Type-2 Fuzzy Clustering and Enhanced Learning
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3238798
Abstract: This paper introduces the design methodology of a noise-robust fuzzy classifier based on type-2 fuzzy clustering and enhanced learning methods. The design procedure for the noise-robust fuzzy classifier (NrFC) can be divided into two parts.… read more here.
Keywords: methodology; robust fuzzy; fuzzy; noise robust ... See more keywords
Multiscale 2-D Singular Spectrum Analysis and Principal Component Analysis for Spatial–Spectral Noise-Robust Feature Extraction and Classification of Hyperspectral Images
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2020.3040699
Abstract: In hyperspectral images (HSI), most feature extraction and data classification methods rely on corrected dataset, in which the noisy and water absorption bands are removed. This can result in not only extra working burden but… read more here.
Keywords: feature extraction; classification; noise robust; spatial spectral ... See more keywords
Multiscale Superpixelwise Prophet Model for Noise-Robust Feature Extraction in Hyperspectral Images
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3260634
Abstract: Despite various approaches proposed to smooth the hyperspectral images (HSIs) before feature extraction, the efficacy is still affected by the noise, even using the corrected dataset with the noisy and water absorption bands discarded. In… read more here.
Keywords: feature; feature extraction; model; noise robust ... See more keywords
Noise-Robust Sound-Event Classification System with Texture Analysis
Sign Up to like & getrecommendations! Published in 2018 at "Symmetry"
DOI: 10.3390/sym10090402
Abstract: Sound-event classification has emerged as an important field of research in recent years. In particular, investigations using sound data are being conducted in various industrial fields. However, sound-event classification tasks have become more difficult and… read more here.
Keywords: classification; sound event; noise robust; sound ... See more keywords