Deep learning (DL) has achieved state-of-the-art performance in many digital pathology
analysis tasks. Traditional methods usually require hand-crafted domain-specific features …

Problem Sepsis, a life-threatening condition, accounts for the deaths of millions of people
worldwide. Accurate prediction of sepsis outcomes is crucial for effective treatment and …

Machine learning applications are having a great impact on the global economy by
transforming the data processing method and decision making. Agriculture is one of the …

Convolutional neural networks (CNN) have led to a successful breakthrough for
hyperspectral image classification (HSIC). Due to the intrinsic spatial-spectral specificities of …

Exploring the relationships between the properties of steels and their compositions and
manufacturing parameters is extremely crucial and indispensable to understanding the …

As an active microwave imaging sensor for the high-resolution earth observation, synthetic
aperture radar (SAR) has been extensively applied in military, agriculture, geology, ecology …

This research specifically addresses the prediction of dairy product demand (DPD). Since
dairy products have a short consumption period, it is important to have accurate information …

Building energy consumption prediction is becoming increasingly vital for energy
management, equipment efficiency improvement, cooperation between building energy and …

With the rapid growth of information technology and sports, analyzing sports information has
become an increasingly challenging issue. Sports big data come from the Internet and show …

This work proposes a decision tree (DT)-based method for initializing a dendritic neuron
model (DNM). Neural networks become larger and larger, thus consuming more and more …