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[HTML][HTML] A global systematic review of species distribution modelling approaches for cetaceans and sea turtles
In the last decades, interest in species distribution models (SDMs) has grown greatly. The
descriptive and predictive power of correlative SDMs is highly valued to meet the high …
descriptive and predictive power of correlative SDMs is highly valued to meet the high …
Soft-output signal detection for cetacean vocalizations using spectral entropy, k-means clustering and the continuous wavelet transform
Underwater passive acoustic monitoring systems record many hours of audio data for
marine research, making fast and reliable non-causal signal detection paramount. Such …
marine research, making fast and reliable non-causal signal detection paramount. Such …
[HTML][HTML] Wavelet-based feature extraction with hidden Markov model classification of Antarctic blue whale sounds
An approach for analyzing blue whale vocalizations in continuous acoustic recordings using
wavelet transform (WT) algorithm as a feature extraction method is proposed in this study …
wavelet transform (WT) algorithm as a feature extraction method is proposed in this study …
[HTML][HTML] Principal components-based hidden Markov model for automatic detection of whale vocalisations
Over the years, researchers have continued to put forward solutions to lessen the threats
faced by whales within their ecosystem. The correct detection of the different species of …
faced by whales within their ecosystem. The correct detection of the different species of …
Dynamic Mode Decomposition-Based Features for Ovarian Cancer Gene Expression Classification Using Machine Learning
Abstract Machine learning (ML) algorithms have been deployed in recent years as models
for the analysis of complex data. The ubiquity of ML algorithms stems from their ability to …
for the analysis of complex data. The ubiquity of ML algorithms stems from their ability to …
[PDF][PDF] On Eigendecomposition‑based Algorithms as Feature Extraction Techniques used with Hidden Markov Model for the Detection of Whale Vocalisations
AM Usman - 2024 - scholar.sun.ac.za
Whales emit a variety of distinctive sound signals for communication, echolocation, and
other social functions, which are gathered through passive acoustic monitoring (PAM) …
other social functions, which are gathered through passive acoustic monitoring (PAM) …
Neural Speech Processing for Whale Call Detection
Passive acoustic monitoring with hydrophones makes it possible to detect the presence of
marine animals over large areas. For monitoring to be cost-effective, this process should be …
marine animals over large areas. For monitoring to be cost-effective, this process should be …
Neural Speech Processing for Whale Call
Passive acoustic monitoring with hydrophones makes it pos-sible to detect the presence of
marine animals over large areas. For monitoring to be cost-effective, this process should be …
marine animals over large areas. For monitoring to be cost-effective, this process should be …
[PDF][PDF] OS Zakariya'
ML algorithms have been deployed for the analysis of different cancer-related datasets.
Akazawa & Hashimoto,(2020) deployed five ML algorithms (support vector machines (SVM) …
Akazawa & Hashimoto,(2020) deployed five ML algorithms (support vector machines (SVM) …