Gas extraction borehole is one of the important means to solve the mine gas disaster.
However, the deformation and damage of coal and rock bodies around borehole will …

Because of the variety of shapes, locations, and image intensities, image segmentation is a
more difficult endeavor in image processing. The most frequent diseases in the world are …

In recent years, with the deterioration of the earth's ecological environment, the survival of
birds has been more threatened. To protect birds and the diversity of species on earth, it is …

Multilevel thresholding image segmentation is not only an indispensable component of
image computation and machine vision but also a fundamental element of image analysis …

Clustering using fuzzy C-means (FCM) is a soft segmentation method that has been
extensively investigated and successfully implemented in image segmentation. FCM is …

This study presents two types of Kidney cancer detection one is with the help of images and
another one is with the help of blood test samples value. Kidney disease is condition caused …

Searching for a reliable indicator of treatment response in sarcoidosis remains a challenge.
The use of the soluble interleukin 2 receptor (sIL-2R) as a measure of disease activity has …

Background Early prognosis of a brain tumour may offer better life expectancy. Magnetic
Resonance Imaging (MRI) coupled with an efficient machine learning segmentation …

Medical image segmentation is a critical task in medical image analysis, and clustering
algorithms can be utilized to achieve this goal. This research work focuses on the …

This paper focuses on reducing technical and non-technical losses in low-voltage
distribution networks. The study is conducted in two stages, where the capacity of each …