Transfer-learning and texture features for recognition of the conditions of construction materials with small data sets
Construction materials undergo appearance and textural changes during the construction
process. Accurate recognition of these changes is critical for effectively understanding the …
process. Accurate recognition of these changes is critical for effectively understanding the …
Automated asthma detection in a 1326-subject cohort using a one-dimensional attractive-and-repulsive center-symmetric local binary pattern technique with cough …
Asthma is a common disease. The clinical diagnosis is usually confirmed on a pulmonary
function test, which is not always readily accessible. We aimed to develop a computationally …
function test, which is not always readily accessible. We aimed to develop a computationally …
A Novel Seizure Detection Method Based on the Feature Fusion of Multimodal Physiological Signals
D Wu, J Wei, PP Vidal, D Wang, Y Yuan… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Seizure detection is traditionally done using video/electroencephalography monitoring, but
for out-of-hospital patients, this method is costly. In recent years, portable device to detect …
for out-of-hospital patients, this method is costly. In recent years, portable device to detect …
Development of a local binary pattern descriptor for texture analysis using deep convolutional neural network
HS SINGH, G GAGAN - 2024 - researchsquare.com
The machine learning is an important branch of artificial intelligence. In machine learning,
the facial expression recognition continued a difficult and interesting topic. The majority of …
the facial expression recognition continued a difficult and interesting topic. The majority of …