Stacking ensemble and ECA-EfficientNetV2 convolutional neural networks on classification of multiple chest diseases including COVID-19
ML Huang, YC Liao - Academic Radiology, 2023 - Elsevier
Rationale and Objectives Early detection and treatment of COVID-19 patients is crucial.
Convolutional neural networks have been proven to accurately extract features in medical …
Convolutional neural networks have been proven to accurately extract features in medical …
[PDF][PDF] Machine learning approaches for detecting driver drowsiness: a critical review
Abstracts: Driver drowsiness is a serious issue that poses a significant threat to road safety,
as it can lead to accidents and injuries. In response to this problem, a thorough review of …
as it can lead to accidents and injuries. In response to this problem, a thorough review of …
Automatic Classification and Consistency verification of Digital drawings using Deep Learning
S Ali - 2021 - mediatum.ub.tum.de
Digital drawings, which provide a detailed graphical representation, play a crucial part by
featuring instant feedback on a vast amount of information among users. Artificial …
featuring instant feedback on a vast amount of information among users. Artificial …