Chest X-ray Images for Lung Disease Detection Using Deep Learning Techniques: A Comprehensive Survey

MAA Al-qaness, J Zhu, D AL-Alimi, A Dahou… - … Methods in Engineering, 2024 - Springer
In medical imaging, the last decade has witnessed a remarkable increase in the availability
and diversity of chest X-ray (CXR) datasets. Concurrently, there has been a significant …

Embedded-machine learning and soft, flexible sensors for wearable devices-viewing from an AI engineer

CC Vu - Materials Today Physics, 2024 - Elsevier
Sensor technology, whose primary function is to represent the interaction between humans
and the surrounding world, has become a core feature of many electronic products in the …

Study on the effects of dust particle size and respiratory intensity on the pattern of respiratory particle deposition in humans

G Zhou, Z Liu, W Shao, B Sun, L Li, J Liu, G Li, X Lv - Indoor Air, 2024 - Wiley Online Library
Nowadays, dust exposure pollution is receiving a lot of attention due to its significant impact
on public health. To investigate the impact of dust particle size and human respiratory …

3D mask based lung function monitoring system using machine learning for early identification of lung disorders

A Bhansali, PM Rekha, NH Shahapure… - … Journal of Imaging …, 2024 - Wiley Online Library
Early identification of illness can aid in lowering the death rate related to lung illnesses.
Asthma, Chronic Obstructive Pulmonary Disease (COPD), and bronchiectasis are all chronic …

[PDF][PDF] Materials Today Physics

H Yu, LC Chen, HJ Pang, XY Qin, PF Qiu, X Shi… - 2018 - researchgate.net
abstract Very recently, multiferroic behavior close to the boiling temperature of liquid
nitrogen was reported in oxohalide-based Cu2OCl2. In this study, we have established yet …