With the integrated design and application of radar, communication, and electronic
reconnaissance, automatic modulation classification (AMC) is becoming increasingly …

In this study, the fusion of cortical and muscular activities based on discriminant correlation
analysis DCA) is developed to recognize bilateral lower limb movements. Electromyography …

As population aging is becoming more common worldwide, applying artificial intelligence
into the diagnosis of Alzheimer's disease (AD) is critical to improve the diagnostic level in …

Attention-deficit/hyperactivity disorder (ADHD) is one of highly prevalent
neurodevelopmental disorders in children. It is of great value to find an objective, simple and …

为了加强海上交通的安全性, 以常见的民用船和军用船为研究对象, 针对原始YOLOV3
算法在船舶数据集上检测精度不高, 目标框出现误检和小目标漏检的问题 …

Material images are susceptible to changes, depending on the light intensity, visual angle,
shooting distance, and other conditions. Feature learning has shown great potential for …

In the modern content-based image retrieval systems, there is an increasingly interest in
constructing a computationally effective model to measure the interestingness of images …

The study proposes a multimodal biometric design that combines face and palm print
recognition modules. To extract the features from the face data set, we proposed a novel 2-D …

In the modern content-based image retrieval systems, there is an increasingly interest in
constructing a computationally effective model to predict the interestingness of images since …