To segment railway track regions in real-time for intrusion detection and improving security,
this paper proposes an efficient railway track region segmentation network (ERTNet) based …

To address the low-light image (LLI) problem in train driving scenarios, this paper proposes
a progressive and lightweight network called BrightsightNet for LLI enhancement. First, to …

The main source of urban waste is the daily life activities of residents, and the waste sorting
of residents' waste is important for promoting economic recycling, reducing labor costs, and …

Artificial intelligence models play a crucial role in monitoring and maintaining railroad
infrastructure by analyzing image data of foreign objects on power transmission lines …

With the rapid growth of aerial image quantity and quality, the performance of aerial scene
classifiers based on deep learning models has also achieved tremendous success …

Leukemia is a type of blood tumour that occurs because of abnormal enhancement in WBCs
(white blood cells) in the bone marrow of the human body. Blood-forming tissue cancer …

Remote sensing (RS) has developed significantly with the progress of the Internet of Things
(IoT) which is allowed the cheap and fast acquisition of data in millions and billions of …

Simple Summary Histopathological image analysis can be used for the detection of lung and
colon cancer by the investigation of microscopic images of tissue samples. Since manual …

The detection and characterization of illegal solid waste disposal sites are essential for
environmental protection, particularly for mitigating pollution and health hazards. Improperly …

Remote sensing (RS) scene classification has received significant consideration because of
its extensive use by the RS community. Scene classification in satellite images has …