Heart attack prediction is a vital component of cardiovascular healthcare, aiming to identify
individuals at risk for timely intervention and improved patient outcomes. Despite significant …

In the realm of network systems, load balancing plays a crucial role in ensuring efficient
resource utilization and maintaining optimal performance levels. As network environments …

In the realm of neuron cell segmentation from microscopic images, computer vision
technologies have shown potential in accelerating drug discovery processes for …

Sentiment analysis on social media platforms is a critical area of research for understanding
public opinion, particularly during significant events like elections. This paper presents a …

With the development of industrial automation, the accurate prediction of the health state of
equipment becomes particularly important. This study aims to address the problem of …

In order to deal with the problem of imbalance and complex feature relationship in network
data classification, this study proposes a machine learning classification method, combined …

Cross-market arbitrage involves exploiting price differences of the same or similar financial
instruments across different markets. The advent of deep learning (DL) has introduced new …

This article explores how Apple's digital design, through interaction and interface design,
has led to its success. It reviews the development history of Apple's digital design …

High-frequency trading (HFT) has transformed financial markets by leveraging speed and
automation to execute large volumes of transactions within microseconds. The integration of …

Network load balancing is a critical aspect of ensuring business continuity in modern
enterprises. By distributing network traffic across multiple servers, load balancing can …