A survey on deep learning based forest environment sound classification at the edge

D Meedeniya, I Ariyarathne, M Bandara… - ACM Computing …, 2023 - dl.acm.org
Forest ecosystems are of paramount importance to the sustainable existence of life on earth.
Unique natural and artificial phenomena pose severe threats to the perseverance of such …

Forest sound classification dataset: Fsc22

M Bandara, R Jayasundara, I Ariyarathne… - Sensors, 2023 - mdpi.com
The study of environmental sound classification (ESC) has become popular over the years
due to the intricate nature of environmental sounds and the evolution of deep learning (DL) …

Unsupervised feature extraction with convolutional autoencoder with application to daily stock market prediction

L Xie, S Yu - Concurrency and Computation: Practice and …, 2021 - Wiley Online Library
Due to the volatility and noise of the stock market, accurately obtaining the trend of the stock
market is a challenging problem, and gets the attention of many researchers and …

DNAE-GAN: Noise-free acoustic signal generator by integrating autoencoder and generative adversarial network

PH Kuo, ST Lin, J Hu - International Journal of Distributed …, 2020 - journals.sagepub.com
Linear predictive coding is an extremely effective voice generation method that operates
through simple process. However, linear predictive coding–generated voices have limited …

Combining CNNs and 2-D visualization method for GI tract lesions classification

SA Nezhad, T Khatibi, M Sohrabi - Multimedia Tools and Applications, 2024 - Springer
In recent years, artificial intelligence and its tools are demonstrated enough potential for
analyzing medical images. Several deep learning models have been proposed in previous …

[PDF][PDF] Machine Learning Approach to 5G Layer 1 Code Review

M Porębski - 2023 - aaltodoc.aalto.fi
The programming is used in most of the industries and domains of life. Programming
projects are becoming bigger and bigger, with millions of developers working on them …

Autoencoders in deep neural network architecture for real work applications: convolutional denoising autoencoders

H Abouzid, O Chakkor - … of Research on Recent Developments in …, 2020 - igi-global.com
The most heard sound exists as a mixture of several audio sources. All human beings have
the ability to concentrate on a single source of their interest and ignore the other sources as …

[图书][B] Design of Multi-Modality Deep Fusion Architecture for Deep Acoustic Analytics

Z Tariq - 2021 - search.proquest.com
There is increasing attention for audio classification research to support various emerging
applications, including environmental monitoring, health care, and smart city. Audio …