Improving Classification Algorithms by Considering Score Series in Wireless Acoustic Sensor Networks
The reduction in size, power consumption and price of many sensor devices has enabled the deployment of many sensor networks that can be used to monitor and control several aspects of various habitats.
Amalia Luque +3 more
doaj +1 more source
Classifying Heart-Sound Signals Based on CNN Trained on MelSpectrum and Log-MelSpectrum Features
The intelligent classification of heart-sound signals can assist clinicians in the rapid diagnosis of cardiovascular diseases. Mel-frequency cepstral coefficients (MelSpectrums) and log Mel-frequency cepstral coefficients (Log-MelSpectrums) based on a ...
Wei Chen +8 more
doaj +1 more source
Evaluation of Image Classification Networks on Impulse Sound Classification Task
S.162-166Impulse sound classification has several civil and security related applications. Convolutional Neural Networks (CNN s) have been proven very effective in image classification and show promise for audio applications as well. The main aim of this
Varela, M., Oispuu, M., Nalla, R.
core +1 more source
An interpretable deep learning model for automatic sound classification. [PDF]
Deep learning models have improved cutting-edge technologies in many research areas, but their black-box structure makes it difficult to understand their inner workings and the rationale behind their predictions. This may lead to unintended effects, such
Pablo Zinemanas +10 more
core +2 more sources
Sound classification using evolving ensemble models and Particle Swarm Optimization [PDF]
Automatic sound classification attracts increasing research attention owing to its vast applications, such as robot navigation, environmental sensing, musical instrument classification, medical diagnosis, and surveillance. In this research, we propose an
Lim, Chee Peng +3 more
core +1 more source
HIJACK: Learning-based Strategies for Sound Classification Robustness to Adversarial Noise
The effective deployment of smart service systems within homes, workspaces and cities, requires gaining context and situational awareness to take action when changes are detected.
Sweet, D, Zangrando, E, Meneghello, F
core +1 more source
Vestibular Patient Journey: Insights From Vestibular Disorders Association (VeDA) Registry
ABSTRACT Objective Vestibular symptoms impose a high burden of disability. Understanding real‐world diagnostic and treatment pathways can identify care gaps and guide interventions. We aimed to characterize symptom profiles, diagnostic trends, provider involvement, and treatment patterns in vestibular disorders.
Ali Rafati +10 more
wiley +1 more source
Non-Prosthetic Assistive Technologies for Persons with Hearing Losses: A Survey
Millions of persons worldwide experience varying degrees of hearing loss, traditionally addressed through prosthetic solutions such as hearing aids and cochlear implants.
Reemas Alsubaiei +9 more
doaj +1 more source
Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS
ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi +8 more
wiley +1 more source
Objective The purpose was to evaluate a biomarker score consisting of MUC5B rs35705950 promoter variant, plasma matrix metalloproteinase‐7 (MMP‐7), and serum anti–malondialdehyde‐acetaldehyde (anti‐MAA) antibody for rheumatoid arthritis (RA)–associated interstitial lung disease (ILD) risk stratification.
Kelsey Coziahr +16 more
wiley +1 more source

