Reference health
Multi-scale spectral feature extraction for underwater acoustic target recognition
14/14 checkable references clean · checked 2026-07-22
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
10 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 14 checked references that resolve
resolves10.3390/s18124318
Underwater Acoustic Target Recognition Based on Supervised Feature-Separation Algorithm
resolves10.3390/rs11161888
Underwater Acoustic Target Recognition: A Combination of Multi-Dimensional Fusion Features and Modified Deep Neural Network
resolves10.1109/72.317723
Detection and classification of underwater acoustic transients using neural networks
resolves10.1098/rspa.1998.0193
The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
resolves10.1121/1.5000165
Source localization in an ocean waveguide using supervised machine learning
resolves10.1121/1.5010064
Ship localization in Santa Barbara Channel using machine learning classifiers
resolves10.1109/JSEN.2018.2886368
Convolutional Neural Network With Second-Order Pooling for Underwater Target Classification
resolves10.1121/1.5036725
Source localization using deep neural networks in a shallow water environment
resolves10.3390/s19051104
A Deep Convolutional Neural Network Inspired by Auditory Perception for Underwater Acoustic Target Recognition
resolves10.1121/1.397781
Environmental mismatch in shallow-water matched-field processing: Geoacoustic parameter variability
resolves10.1121/1.400919
Environmental mismatching effects on source localization processing in mode space
resolves10.1121/1.396346
Effects of water-depth mismatch on matched-field localization in shallow water
The 10 references without a DOI — listed, not checked
no DOI — not checkedFeature extraction of underwater target in auditory sensation area based on mfcc
no DOI — not checkedThe classification of underwater acoustic targets based on deep learning methods
no DOI — not checkedFeature extraction of ship-radiated noise based on mel frequency cepstrum coefficients
no DOI — not checkedFeature extraction of underwater target signal using mel frequency cepstrum coefficients based on acoustic vector sensor
no DOI — not checkedFeature extraction and classification for underwater target signals based on hilbert-huang transform theory
no DOI — not checkedSource localization in underwater waveguides using machine learning
no DOI — not checkedConvolutional neural networks for passive monitoring of a shallow water environment using a single sensor
no DOI — not checkedDropout: a simple way to prevent neural networks from overfitting
no DOI — not checkedA deep machine learning method for classifying cyclic time series of biological signals using time-growing neural network
no DOI — not checkedStructural risk evaluation of a deep neural network and a markov model in extracting medical information from phonocardiography
What this badge says. CiteStamped means the CHECKABLE references of this
work were clean at the dated check: each resolved to a known work in a public registry, and none
carried a retraction notice at that time. It says nothing about the quality, findings,
or importance of the work itself, and nothing about references deposited without a DOI.
checked 2026-07-22 — re-checked daily as this page is visited; titles and statuses come from Crossref and DataCite and are not part of the signed record
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