In the Internet-of-Things (IoT) era, user authentication is essential to ensure the security of
connected devices and the customization of passive services. However, conventional …

In recent years, research on convolutional neural networks (CNN) and recurrent neural
networks (RNN) in deep learning has been actively conducted. In order to provide more …

Smart manufacturing aims to support highly customizable production processes. Therefore,
the associated machine intelligence needs to be quickly adaptable to new products …

To facilitate data-driven and informed decision making, a novel deep neural network
architecture for human activity recognition based on multiple sensor data is proposed in this …

Deep learning greatly empowers Inertial Measurement Unit (IMU) sensors for various mobile
sensing applications, including human activity recognition, human-computer interaction …

Human activity recognition (HAR) has been regarded as an indispensable part of many
smart home systems and smart healthcare applications. Specifically, HAR is of great …

Abstract Internet of Things (IoT) presents opportunities for designing new technologies for
organizations. Many organizations are beginning to accept these technologies for their daily …

Medical practitioners generally rely on multimodal brain images, for example based on the
information from the axial, coronal, and sagittal views, to inform brain tumor diagnosis …

Automatic human activity recognition (HAR) through computing devices is a challenging
research topic in the domain of computer vision. It has widespread applications in various …

It is well known that the Unet has been widely used in the area of medical image
segmentation because of the cascade connection in the up-sampling process. However, it …