[HTML][HTML] Classification of birdsong spectrograms based on DR-ACGAN and dynamic convolution

Y Fu, C Yu, Y Zhang, D Lv, Y Yin, J Lu, D Lv - Ecological Informatics, 2023 - Elsevier
Birdsongs are highly valuable for bird studies as they provide insights into various aspects
such as species distribution, population structures, and habitat. Recognizing birdsongs …

[HTML][HTML] Analysis of vegetation dynamics from 2001 to 2020 in China's Ganzhou rare earth mining area using time series remote sensing and SHAP-enhanced …

L Ming, Y Wang, G Liu, L Meng, X Chen - Ecological Informatics, 2024 - Elsevier
Rare earth mining, essential for modern industries and economic growth, often leads to
severe environmental degradation. Previous research has explored the ecological impacts …

[HTML][HTML] Artificial Intelligence-Based Underwater Acoustic Target Recognition: A Survey

S Feng, S Ma, X Zhu, M Yan - Remote Sensing, 2024 - mdpi.com
Underwater acoustic target recognition has always played a pivotal role in ocean remote
sensing. By analyzing and processing ship-radiated signals, it is possible to determine the …

[HTML][HTML] Applications of Entropy in Data Analysis and Machine Learning: A Review

SA Sepúlveda-Fontaine, JM Amigó - Entropy, 2024 - mdpi.com
Since its origin in the thermodynamics of the 19th century, the concept of entropy has also
permeated other fields of physics and mathematics, such as Classical and Quantum …

Effects of Different Culture Densities on the Acoustic Characteristics of Micropterus salmoide Feeding

R Qi, H Liu, S Liu - Fishes, 2023 - mdpi.com
The intensity and frequency of the acoustic signals generated by different behaviors of
largemouth bass (Micropterus salmoides) have different characteristics. The acoustic signals …

Fault detection and identification method: 3D-CNN combined with continuous wavelet transform

C Ukawa, Y Yamashita - Computers & Chemical Engineering, 2024 - Elsevier
This study proposes a novel fault detection and identification method using Continuous
Wavelet Transform (CWT) and a three-dimensional Convolutional Neural Network (3D …

Cyclical variations in acoustic features within the song sessions of humpback whales (Megaptera novaeangliae).

E Mercado III, M Ryan, M Ashour… - Journal of …, 2024 - psycnet.apa.org
Song sessions produced by humpback whales recorded off the coasts of Hawaii and
Colombia show recurrent patterns of acoustic variation across consecutive songs. Analyses …

[HTML][HTML] People counting using IR-UWB radar sensors and machine learning techniques

AJN Njanda, JEZ Gbadoubissa, E Radoi… - Systems and Soft …, 2024 - Elsevier
This study aims to detect and count people using impulse radio ultra-wideband radar and
machine learning algorithms. However, the data quality, difficulty distinguishing human …

[HTML][HTML] Detection of cetacean and fish sounds using normalized summation of harmonics and spectrogram masking

J van Wyk, J Versfeld, J du Preez - JASA Express Letters, 2023 - pubs.aip.org
There is a growing interest in the ability to detect and classify animal vocalizations in large
scale bioacoustic databases for the purposes of conservation and research. To aid in this …

[HTML][HTML] Linear discriminant analysis based hidden Markov model for detection of Mysticetes' vocalisations

OM Ogundile, AA Owoade, OO Ogundile, OP Babalola - Scientific African, 2024 - Elsevier
Mysticetes' produce distinctive vocalisations which are used for echolocation,
communication, and other marine functions. These cryptic vocalisations are studied by …