This paper provides a critical review of the literature on deep learning applications in breast
tumor diagnosis using ultrasound and mammography images. It also summarizes recent …

Recent researches on sensor based human activity recognition (HAR) are mostly devoted to
designing various network architectures to enhance their feature representation capacity for …

Design for Embedded Image Processing on FPGAs Bridge the gap between software and
hardware with this foundational design reference Field-programmable gate arrays (FPGAs) …

The recognition and mapping of landslide (RML) is an important task in hazard and risk
research and can provide a scientific basis for the prevention and control of landslide …

COVID-19 is a viral disease that in the form of a pandemic has spread in the entire world,
causing a severe impact on people's well being. In fighting against this deadly disease, a …

Automatic detection of anatomical landmarks and diseases in medical images is a
challenging task which could greatly aid medical diagnosis and reduce the cost and time of …

Higher-resolution biopsy slice images reveal many details, which are widely used in medical
practice. However, taking high-resolution slice images is more costly than taking low …

Cybersecurity breaches within the Internet of Vehicles (IoV) have been increasingly reported
annually with the proliferation of intelligent connected vehicles. Two primary obstacles are …

Automatic seizure detection based on scalp electroencephalogram (EEG) can accelerate
the progress of epilepsy diagnosis. Current seizure detection methods based on deep …

When the distance between an obstacle and a power line is less than the discharge
distance, a discharge arc can be generated, resulting in the interruption of power supplies …