Transfer learning for the efficient detection of COVID-19 from smartphone audio data
Disease detection from smartphone data represents an open research challenge in mobile
health (m-health) systems. COVID-19 and its respiratory symptoms are an important case …
health (m-health) systems. COVID-19 and its respiratory symptoms are an important case …
Synthetic graphic well log generation using an enhanced deep learning workflow: imbalanced multiclass data, sample size, and scalability challenges
The present study introduces an enhanced deep learning (DL) workflow based on transfer
learning (TL) for producing high-resolution synthetic graphic well logs (SGWLs). To examine …
learning (TL) for producing high-resolution synthetic graphic well logs (SGWLs). To examine …
Transformer-based network for Accurate classification of lung auscultation sounds
CS Sonali, J Kiran, BS Chinmayi… - Critical Reviews™ in …, 2023 - dl.begellhouse.com
Respiratory diseases are a major cause of death worldwide, affecting a significant
proportion of the population with lung function abnormalities that can lead to respiratory …
proportion of the population with lung function abnormalities that can lead to respiratory …
Explainable Siamese Neural Network for Classifying Pediatric Respiratory Sounds
S Ntalampiras - IEEE Journal of Biomedical and Health …, 2023 - ieeexplore.ieee.org
The field of medical acoustics is gaining constantly-increasing attention by the scientific
community, with the the general goal being the automatic understanding of medical related …
community, with the the general goal being the automatic understanding of medical related …
Data Augmentation using Reverb and Noise in Deep Learning Implementation of Cough Classification
The interest in automated analysis and classification of cough sounds has increased in
recent years, partly due to the worldwide COVID19 pandemic. To train such classification …
recent years, partly due to the worldwide COVID19 pandemic. To train such classification …
Supervised contrastive pretrained resnet with mixup to enhance respiratory sound classification on imbalanced and limited dataset
This paper proposes a strategy of combining multiple techniques to classify paediatric
respiratory sound (PRS) from the Open-Source SJTU Paediatric Respiratory Sound …
respiratory sound (PRS) from the Open-Source SJTU Paediatric Respiratory Sound …
Supervised Contrastive Learning Framework and Hardware Implementation of Learned ResNet for Real-time Respiratory Sound Classification
This paper presents a supervised contrastive learning (SCL) framework for respiratory
sound classification and the hardware implementation of learned ResNet on field …
sound classification and the hardware implementation of learned ResNet on field …
TRespNET: A dual-route exploratory CNN model for pediatric adventitious respiratory sound identification
B TaghiBeyglou, A Assadi, A Elwali… - … Signal Processing and …, 2024 - Elsevier
Pediatric respiratory diseases significantly contribute to the global burden of morbidity and
mortality among children. Moreover, the long-term persistence of respiratory diseases from …
mortality among children. Moreover, the long-term persistence of respiratory diseases from …
Exploiting 2D Representations for Enhanced Indoor Localization: A Transfer Learning Approach
Indoor localization systems predominantly depend on one-dimensional signal
measurements, such as the Received Signal Strength Indication (RSSI) from Bluetooth or …
measurements, such as the Received Signal Strength Indication (RSSI) from Bluetooth or …
Enhancing Lung Acoustic Signals Classification with Eigenvectors-based and Traditional Augmentation Methods
Identifying lung sound signal patterns is essential for detecting and monitoring respiratory
diseases. Existing approaches for analyzing respiratory sounds need domain specialists …
diseases. Existing approaches for analyzing respiratory sounds need domain specialists …