For over two decades, detecting rare events has been a challenging task among
researchers in the data mining and machine learning domain. Real-life problems inspire …

Imbalanced data problem is a big challenge for judicial data analysis since it often leads to a
low accuracy of the data classification. Synthesizing new samples by means of …

Machine learning techniques play a crucial part in intrusion detection and greatly change
the original intrusion detection methods. How to use machine learning technologies to …

This paper describes the mechanical design and a cognition system for a novel concept-of-
camera robotic assistant. The system combines the advantages of intra-abdominal devices …

Background Wireless capsule endoscopy (WCE) is a patient-friendly and non-invasive
technology that scans the whole of the gastrointestinal tract, including difficult-to-access …

The early detection and precise diagnosis of gastrointestinal diseases, particularly gastric
cancer, play a vital role in improving patient survival rates and treatment outcomes …

This paper introduces a simply realized data balancing procedure based on the novel
concept of local principal component analysis (PCA) based entropy. To calculate this …

Proper grouping in classifier algorithms is a critical element of supervised learning. The first
step in this is to have the correct data. Data that has a problem is worse than not having it …

Reliable policy search is essential in improving reservoir operations to satisfy multi-sectoral
needs such as flood control and water supply. Given its importance, this topic has been …

随着互联网技术的飞速发展, 涌现出了各式各样的新型网络应用. 这些应用在满足人们需求的
同时也带来了许多的问题, 如网络拥塞[1], 违法信息传播[2] 等. 而且由于文件共享, 视频直播 …