Zobrazeno 1 - 10
of 11 763
pro vyhledávání: '"Wang, Haiyan"'
Electrocardiograms (ECG), which record the electrophysiological activity of the heart, have become a crucial tool for diagnosing these diseases. In recent years, the application of deep learning techniques has significantly improved the performance o
Externí odkaz:
http://arxiv.org/abs/2406.16928
Autor:
Cai, Weizhou, Zhang, Jing-Ning, Hua, Ziyue, Wang, Weiting, Pan, Xiaoxuan, Liu, Xinyu, Ma, Yuwei, Hu, Ling, Mu, Xianghao, Wang, Haiyan, Song, Yipu, Zou, Chang-Ling, Sun, Luyan
The discrimination of quantum operations has long been an intriguing challenge, with theoretical research significantly advancing our understanding of the quantum features in discriminating quantum objects. This challenge is closely related to the di
Externí odkaz:
http://arxiv.org/abs/2404.13317
In this article, we investigate how the Witt basis serves as a link between real and complex variables in higher-dimensional spaces. Our focus is on the detailed construction of the Witt basis within the tensor product space combining Clifford algebr
Externí odkaz:
http://arxiv.org/abs/2404.03487
Maritime transport is a pivotal logistics mode for the long-distance and bulk transportation of goods. However, the intricate planning involved in this mode is often hindered by uncertainties, including weather conditions, cargo diversity, and port d
Externí odkaz:
http://arxiv.org/abs/2401.14498
The designing of efficient signal detectors is important and yet challenge for orthogonal time frequency space (OTFS) systems in high-mobility scenarios. In this letter, we develop an efficient message feedback interference cancellation aided unitary
Externí odkaz:
http://arxiv.org/abs/2401.02674
Problem definition: Supply chains are constantly evolving networks. Reinforcement learning is increasingly proposed as a solution to provide optimal control of these networks. Academic/practical: However, learning in continuously varying environments
Externí odkaz:
http://arxiv.org/abs/2312.15502
Autor:
Wang, Haiyan
Quantum machine learning (QML) represents a promising frontier in the quantum technologies. In this pursuit of quantum advantage, the quantum kernel method for support vector machine has emerged as a powerful approach. Entanglement, a fundamental con
Externí odkaz:
http://arxiv.org/abs/2309.03307
Federated learning (FL) allows a large number of clients to collaboratively train machine learning (ML) models by sending only their local gradients to a central server for aggregation in each training iteration, without sending their raw training da
Externí odkaz:
http://arxiv.org/abs/2305.12950