Zehong Wang, Xiaolong Han, Yanru Chen, Xiaotong Ye, Keli Hu, Donghua Yu (2022) Prediction of willingness to pay for airline seat selection based on improved ensemble learning Airlines have launched ...

A proposed federal bill aims to ensure that the brain-related data collected by wearables and other devices is safeguarded to protect individuals’ privacy, prevent exploitation and build public trust ...

This is a general purpose aimbot, which uses a neural network for enemy/target detection. The aimbot doesn't read/write memory from/to the target process. It is essentially a "pixel bot", designed ...

Abstract: As network technologies advance, graph-structured data has grown in importance. Node classification, a key area in analyzing graph data, aims to predict the categories of unlabeled nodes ...

Abstract digital art depicting a network of interconnected glowing blue and orange lines and nodes, resembling a neural network or a complex web. Royalty-free licenses let you pay once to use ...

Abstract: With the rapid development of mobile internet in recent years, a large scale of continuous arrival correlative data, namely dynamic streaming graph, are extensively generated in various ...

Introduction: In recent years, advancements in machine learning and electronic stethoscope technology have enabled high-precision recording and analysis of lung sounds, significantly enhancing ...

This paper is dedicated to the memory of my grandma. This is probably the only paper in my life that was written in a hospital the entire time. This is also at the same time the very first work in my ...

1 Department of Qunli Ultrasound, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China 2 Department of Ultrasound, Jilin Cancer Hospital, Changchun, Jilin, China ...