Introduction. The early detection and diagnosis of leukemia, ie, the precise differentiation of
malignant leukocytes with minimum costs in the early stages of the disease, is a major …

A significant issue in the field of illness diagnostics is the early detection and diagnosis of
leukemia, that is, the accurate distinction of malignant leukocytes with minimal costs in the …

Deep convolutional neural networks (CNNs) have attracted great attention in the field of
image denoising. However, there are two drawbacks:(1) it is very difficult to train a deeper …

In this paper, an improved ant colony optimization (ICMPACO) algorithm based on the multi-
population strategy, co-evolution mechanism, pheromone updating strategy, and …

Incomplete multi-view clustering, which aims to solve the clustering problem on the
incomplete multi-view data with partial view missing, has received more and more attention …

The relationship between face and disease has been discussed from thousands years ago,
which leads to the occurrence of facial diagnosis. The objective here is to explore the …

In this paper, we propose a general framework for incomplete multiview clustering. The
proposed method is the first work that exploits the graph learning and spectral clustering …

At present, geothermal energy is a promising research area but with a series of unknowns
waited to be explored. Recently, the U-shaped closed loop geothermal extraction system …

The counting and identification of white blood cells (WBCs, ie, leukocytes) in blood smear
images play a crucial role in the diagnosis of certain diseases, including leukemia …

Graph-based feature extraction is an efficient technique for data dimensionality reduction,
and it has gained intensive attention in various fields such as image processing, pattern …