Smartphone embedded deep learning approach for highly accurate and automated colorimetric lactate analysis in sweat
Here, a microfluidic paper-based analytical device (μPAD) was first combined with a deep
learning-based smartphone app called “DeepLactate” and then applied for quantitative and …
learning-based smartphone app called “DeepLactate” and then applied for quantitative and …
Simple pooling front-ends for efficient audio classification
Recently, there has been increasing interest in building efficient audio neural networks for
on-device scenarios. Most existing approaches are designed to reduce the size of audio …
on-device scenarios. Most existing approaches are designed to reduce the size of audio …
Lightweight deep neural networks for acoustic scene classification and an effective visualization for presenting sound scene contexts
L Pham, D Ngo, D Salovic, A Jalali, A Schindler… - Applied Acoustics, 2023 - Elsevier
In this paper, we propose lightweight deep neural networks for Acoustic Scene Classification
(ASC) and a visualization method for presenting a sound scene context. To this end, we first …
(ASC) and a visualization method for presenting a sound scene context. To this end, we first …
Continual learning for on-device environmental sound classification
Continuously learning new classes without catastrophic forgetting is a challenging problem
for on-device environmental sound classification given the restrictions on computation …
for on-device environmental sound classification given the restrictions on computation …
Automated audio captioning via fusion of low-and high-dimensional features
Automated audio captioning (AAC) aims to describe the content of an audio clip using
simple sentences. Existing AAC methods are developed based on an encoder-decoder …
simple sentences. Existing AAC methods are developed based on an encoder-decoder …
Automatic User Preferences Selection of Smart Hearing Aid Using BioAid
Noisy environments, changes and variations in the volume of speech, and non-face-to-face
conversations impair the user experience with hearing aids. Generally, a hearing aid …
conversations impair the user experience with hearing aids. Generally, a hearing aid …
Analysing an imbalanced stroke prediction dataset using machine learning techniques
VS Elangovan, R Devarajan… - … Journal of Modern …, 2024 - kijoms.uokerbala.edu.iq
A stroke is a medical condition characterized by the rupture of blood vessels within the brain
which can lead to brain damage. various symptoms may be exhibited when the brain's …
which can lead to brain damage. various symptoms may be exhibited when the brain's …
[PDF][PDF] Design and Evaluation of a Sound Application using Acoustic Scene Classification
BSTV Rybnikova - 2022 - scholar.archive.org
Abstract Acoustic Scene Classification (ASC) aims to identify the environmental
surroundings from audio recordings in which they were collected. Developing computational …
surroundings from audio recordings in which they were collected. Developing computational …
Hierarchical Cavitation Intensity Recognition Using Sub-Master Transition Network-Based Acoustic Signals in Pipeline Systems
As one of the most efficient methods for cavitation intensity recognition, deep learning (DL)
has been achieving remarkable performance. However, existing DL-based applications are …
has been achieving remarkable performance. However, existing DL-based applications are …