skip to main content
Menu

Keyword: transfer learning

Original Article
Parkinson’s Disease Classification based on Enhanced Ensemble Learning and Brain MRI

Parkinson’s Disease (PD) is a neurological disorder that causes progressive loss of brain cells. Despite the fact that there is no known cure for this neurodegenerative disease at present, early diagnosis and treatment may improve the quality of life. Magnetic Resonance Imaging (MRI) detects structural changes related to dopamine deficiency in PD. To categorize MRI […]

23
Original Article
Fire Detection and Verification using Convolutional Neural Networks, Masked Autoencoder and Transfer Learning

Wildfire detection is a time-critical application since it can be challenging to identify the source of ignition in a short amount of time, which frequently causes the intensity of fire incidents to increase. The development of precise early-warning applications has sparked significant interest in expert systems research due to this issue, and recent advances in […]

Original Article
ECG Arrhythmia Classification based on Convolutional Autoencoders and Transfer Learning

An Electrocardiogram (ECG) is a test that is done with the objective of monitoring the heart’s rhythm and electrical activity. It is conducted by attaching a specific type of sensor to the subject’s skin to detect the signals generated by the heartbeats. These signals can reveal significant information about the wellness of the subjects’ heart […]

Original Article
IOT-MDEDTL: IoT Malware Detection based on Ensemble Deep Transfer Learning

The internet of Things (IoT) is a promising expansion of the traditional Internet, which provides the foundation for millions of devices to interact with each other. IoT enables these smart devices, such as home appliances, different types of vehicles, sensor controllers, and security cameras, to share information, and this has been successfully done to enhance […]