Microorganisms play a vital role in human life. Therefore, microorganism detection is of great
significance to human beings. However, the traditional manual microscopic detection …

Research into fault diagnosis in machines with a wide range of variable loads and speeds,
such as wind turbines, is of great industrial interest. Analysis of the power signals emitted by …

Owing to the high incidence rate and the severe impact of skin cancer, the precise diagnosis
of malignant skin tumors is a significant goal, especially considering treatment is normally …

Microscopic algae segmentation, specifically of diatoms, is an essential procedure for water
quality assessment. The segmentation of these microalgae is still a challenge for computer …

Planktonic organisms including phyto-, zoo-, and mixoplankton are key components of
aquatic ecosystems and respond quickly to changes in the environment, therefore their …

Researchers have recently found that the finger-knuckle-print (FKP), which refers to the
inherent skin patterns of the outer surface around the phalangeal joint of one's finger, has …

Benthic diatoms are unicellular microalgae that are routinely used as bioindicators for
monitoring the ecological status of freshwater. Their identification using light microscopy is a …

Featured Application Development of a fully operative low-cost automated digital
microscope for the detection of diatoms by applying deep learning. Abstract Currently …

This paper proposes a novel Squeeze-and-excitation-based Mask Region Convolutional
Neural Network (SEM-RCNN) for Environmental Microorganisms (EM) detection tasks. Mask …

License plate number detection in drone images is a complex problem because the images
are generally captured at oblique angles and pose several challenges like perspective …