In recent decades, heart disease threatens people's health seriously because of its
prevalence and high risk of death. Therefore, predicting heart disease through some simple …

We investigate a computing task scheduling problem in space–air–ground integrated
network (SAGIN) for Internet of Remote Things (IoRT). In the considered scenario, the …

Early fault diagnosis method under multiple operating conditions (OCs) is very important to
improve the reliability of the permanent magnet synchronous motors (PMSMs) system. In this …

Deep-learning-based models usually require a large amount of data for training, which
guarantees the effectiveness of the trained model. Generative models are no exception, and …

The increasing availability of information on the web makes the task of named entity
recognition (NER) more challenging. Named entity recognition is an important pre-processor …

Electromyography (EMG) signals have very high complexity and random characteristics.
EMG signals are widely used in the process of controlling rehabilitation engineering …

Cardiovascular diseases (CVD) persist as a formidable global health challenge,
underscoring the imperative for advanced early detection mechanisms. The evolution of …

Edge intelligence (EI), integrated with the merits of both edge computing and artificial
intelligence, has been proposed recently to realize intensive computation and low delay …

人工智能方法在电力系统暂态稳定评估研究中已经取得了一定的成果. 常规深层网络普遍被视为
“黑盒” 模型, 这限制了智能算法在实际工程应用中的可信赖性; 同时, 常规算法对电力系统时序 …

The construction of smart courts promotes the in-deep integration of internet, big data, cloud
computing and artificial intelligence with judicial trial work, which can both improve trials and …