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 ...

Quantum computation has the potential for exponential speedup of classical systems in some applications, such as cryptography, simulation of molecular behavior, and optimization. Nevertheless, quantum ...

Abstract: We introduce a new convolutional autoencoder architecture for user modeling and recommendation tasks with several improvements over the state of the art. First, our model has the flexibility ...

Abstract: As the number of smart meters increases, compression of metering data becomes essential for data transmission, storing and processing perspectives. Specifically, feature extraction can be ...

This repository contains the implementation, benchmarks, and supporting tools for my MSc dissertation project: Self-learning Variational Autoencoder for EEG Artifact Removal (Key code only). Benchmark ...

The rapid growth of unlabeled time-series data in domains such as wireless communications, radar, biomedical engineering, and the Internet of Things (IoT) has driven advancements in unsupervised ...

Chain information management system is widely used, providing convenience for the operation and management of enterprises. However, the problem of abnormal network traffic becomes increasingly ...

ABSTRACT: Convolutional auto-encoders have shown their remarkable performance in stacking deep convolutional neural networks for classifying image data during the past several years. However, they are ...

Anomaly detection is a typical binary classification problem under the condition of unbalanced samples, which has been widely used in various fields of data mining. For example, it can help detect ...