This paper presents a Fuzzy Inference System (FIS) designed to comprehensively assess
challenges, risks, and threats. In the realm of security and defense, defining these elements …

Most multi-objective clustering algorithms (MOCAs) do not fully utilize the spatial and edge
information of an image in image segmentation areas. Moreover, the objective evaluations …

Glaucoma is a leading cause of irreversible blindness worldwide, affecting millions of
people. Early diagnosis is essential to reduce visual loss, and various techniques are used …

The morphological changes of retinal vessels are of significant diagnostic value for early
ophthalmic diseases and can aid in distinguishing other conditions such as diabetes and …

In medical imaging, efficient segmentation of colon polyps plays a pivotal role in minimally
invasive solutions for colorectal cancer. This study introduces a novel approach employing …

Accurately segmenting tumor areas from medical images helps doctors to locate, evaluate
and plan treatments for tumors. Due to the problem of blurred boundaries of tumors in …

Small fiber neuropathy analysis in the epidermis of the skin is critical to the diagnosis of
various diseases such as diabetes mellitus and familial amyloid polyneuropathy …

3D semantic segmentation is a fundamental task in robotic manipulation and computer
vision. However, due to the limitation of heuristic point cloud upsampling methods, the …

Semi-supervised learning has garnered significant attention, particularly in medical image
segmentation, owing to its capacity to leverage a large number of unlabeled data and a …

Spectrum is the fingerprint of substance. Using spectrum analysis technology to identify
substance will open up a new dimension of information for artificial intelligence and …