Sleep apnea detection from a single-lead ECG signal with automatic feature-extraction through a modified LeNet-5 convolutional neural network
T Wang, C Lu, G Shen, F Hong - PeerJ, 2019 - peerj.com
Sleep apnea (SA) is the most common respiratory sleep disorder, leading to some serious
neurological and cardiovascular diseases if left untreated. The diagnosis of SA is …
neurological and cardiovascular diseases if left untreated. The diagnosis of SA is …
Applying deep learning to recognize the properties of vitreous opacity in ophthalmic ultrasound images
L Feng, Y Zhang, W Wei, H Qiu, M Shi - Eye, 2024 - nature.com
Background To explore the feasibility of artificial intelligence technology based on deep
learning to automatically recognize the properties of vitreous opacities in ophthalmic …
learning to automatically recognize the properties of vitreous opacities in ophthalmic …
Real-time foreign object and production status detection of tobacco cabinets based on deep learning
C Wang, J Zhao, Z Yu, S Xie, X Ji, Z Wan - Applied Sciences, 2022 - mdpi.com
Visual inspection plays an important role in industrial production and can detect product
defects at the production stage to avoid major economic losses. Most factories mainly rely on …
defects at the production stage to avoid major economic losses. Most factories mainly rely on …
Combining deep neural network with traditional classifier to recognize facial expressions
Facial expressions are important in people's daily communications. Recognising facial
expressions also has many important applications in the areas such as healthcare and e …
expressions also has many important applications in the areas such as healthcare and e …
Exgfair: A crowdsourcing data exchange approach to fair human face datasets augmentation
Human face images represent a rich set of visual data information that is utilized by various
big data driven human facial applications. However, the performance of these applications is …
big data driven human facial applications. However, the performance of these applications is …
The implementation of LeNet-5 with NVDLA on RISC-V SoC
S Feng, J Wu, S Zhou, R Li - 2019 IEEE 10th International …, 2019 - ieeexplore.ieee.org
NVDLA (NVIDIA Deep Learning Accelerator) is an open-source CNN (Convolutional Neural
Network) accelerator and has broad application prospects. The implement of Lenet-5 based …
Network) accelerator and has broad application prospects. The implement of Lenet-5 based …
MPCNN: A Novel Matrix Profile Approach for CNN-based Sleep Apnea Classification
HX Nguyen, DV Nguyen, HH Pham, CD Do - arXiv preprint arXiv …, 2023 - arxiv.org
Sleep apnea (SA) is a significant respiratory condition that poses a major global health
challenge. Previous studies have investigated several machine and deep learning models …
challenge. Previous studies have investigated several machine and deep learning models …
Real-time age detection using a convolutional neural network
S Sithungu, D Van der Haar - … Conference, BIS 2019, Seville, Spain, June …, 2019 - Springer
The problem of determining people's age is a recurring theme in areas such as law
enforcement, education and sports because age is often used to determine eligibility. The …
enforcement, education and sports because age is often used to determine eligibility. The …
Deep-sea biological image augmentation: a generative adversarial networks-based application
Y Liu, L Liu - Global Oceans 2020: Singapore–US Gulf Coast, 2020 - ieeexplore.ieee.org
With the recent progress of convolutional neural networks in image processing and pattern
recognition, deep learning has become the mainstream method of object recognition in …
recognition, deep learning has become the mainstream method of object recognition in …
Applying Deep learning in Recognizing the Properties of Vitreous Opacity on Ophthalmic Ultrasound Images
Y Zhang, W Wei, H Qiu, M Shi - 2023 - researchsquare.com
BACKGROUND: To explore the feasibility of artificial intelligence technology based on deep
learning to automatically recognize the properties of vitreous opacities in ophthalmic …
learning to automatically recognize the properties of vitreous opacities in ophthalmic …