Abstract: To tackle the challenge of data diversity in sentiment analysis and improve the accuracy and generalization ability of sentiment analysis, this study first cleans, denoises, and standardizes ...

Abstract: This paper presents a new method that combines deep k-means clustering with granule mining approaches to utilise contextual information for improving outlier detection and classification.

Dinosaur skeletons often dominate museum halls, from the towering Tyrannosaurus rex known as Sue in Chicago to Sophie the ...

肉眼可能无法察觉，但在地球轨道上，一场无声的危机正在蔓延。目前有超过11000颗在轨运行的卫星，预计到2030年，这一数字将达到3万到6万颗。此外，还有40500个被追踪的、尺寸大于10厘米的物体，110万个尺寸在1到10厘米之间的太空碎片，以及1.3亿个尺寸在1毫米到1厘米之间的太空碎片，我们的轨道基础设施正面临前所未有的挑战。传统空间监测系统是为空间活动远没有如此复杂的时代设计的，已经难以跟上 ...

For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...

Researchers have developed a novel deep-learning architecture that generates high-quality synthetic images of rare land covers to eliminate bias and drastically improve the accuracy of environmental ...

Pratyosh Desaraju secures German utility patents for AI systems that automate legacy system enhancement and detect ...