Location via proxy:
[ UP ]
[Report a bug]
[Manage cookies]
No cookies
No scripts
No ads
No referrer
Show this form
×
Please click
here
if you are not redirected within a few seconds.
All
Images
Videos
News
Maps
Shopping
Books
Search tools
Recent
Recent
Past hour
Past 24 hours
Past week
Past month
Past year
Archives
Sorted by relevance
Sorted by relevance
Sorted by date
Palmprint recognition based on gating mechanism and adaptive feature fusion
Frontiers
As a type of biometric recognition, palmprint recognition uses unique discriminative features on the palm of a person to identify his/her identity.
3 weeks ago
Automatic brain-tumor diagnosis using cascaded deep convolutional neural networks with symmetric U-Net and asymmetric residual-blocks
Nature
The use of various kinds of magnetic resonance imaging (MRI) techniques for examining brain tissue has increased significantly in recent...
2 months ago
User identification system based on 2D CQT spectrogram of EMG with adaptive frequency resolution adjustment
Nature
User identification systems based on electromyogram (EMG) signals, generated inside the body in different signal patterns and exhibiting...
6 months ago
Research on cassava disease classification using the multi-scale fusion model based on EfficientNet and attention mechanism
Frontiers
Cassava disease is one of the leading causes to the serious decline of cassava yield. Because it is difficult to identify the characteristics of cassava...
5 months ago
What is deep learning and how does it work? | Definition from TechTarget
TechTarget
Learn about why deep learning is important, as well as its applications, how it works, its pros and cons, and how it compares to machine learning.
31 months ago
A multi-class brain tumor grading system based on histopathological images using a hybrid YOLO and RESNET networks | Scientific Reports
Nature
Gliomas are primary brain tumors caused by glial cells. These cancers' classification and grading are crucial for prognosis and treatment...
4 months ago
An adaptively multi-correlations aggregation network for skeleton-based motion recognition
Nature
Previous work based on Graph Convolutional Networks (GCNs) has shown promising performance in 3D skeleton-based motion recognition.
8 months ago
ALL classification using neural ensemble and memetic deep feature optimization
Frontiers
Acute lymphoblastic leukemia (ALL) is a fatal blood disorder characterized by the excessive proliferation of immature white blood cells, originating in the...
3 weeks ago
EEG-based epileptic seizure detection using binary dragonfly algorithm and deep neural network
Nature
Electroencephalogram (EEG) is one of the most common methods used for seizure detection as it records the electrical activity of the brain.
8 months ago
Quantitative analysis of prion disease using an AI-powered digital pathology framework
Nature
Prion disease is a fatal neurodegenerative disorder characterized by accumulation of an abnormal prion protein (PrPSc) in the central...
8 months ago