Zhihan Lv

TL;DR: Recent research in data types, storage models, privacy, data security, analysis methods, and applications related to network big data are reviewed.

TL;DR: This paper proposes an original, energy-friendly, and computationally efficient CNN architecture, inspired by the SqueezeNet architecture for fire detection, localization, and semantic understanding of the scene of the fire, which uses smaller convolutional kernels and contains no dense, fully connected layers.

TL;DR: This work uses the Unity3D game engine to develop and prototype a biological network and molecular visualization application for subsequent use in research or education and considers this work as a proof of principle demonstrating that the functionalities of classical viewers and more advanced novel features could be implemented in substantially less time and with less development effort.

TL;DR: In this article, a touchless motion interaction technology is designed and evaluated in order to develop touch-less, interactive and augmented reality games on vision-based wearable device, and three primitive AR games with eleven dynamic gestures are developed based on the proposed touchless interaction technology as proof.

TL;DR: A hand-and-foot-based multimodal interaction approach for handheld devices that combines input modalities and provides a coordinated output to both modalities along with audio and video is presented.