The implementation of Scenario Classification (SC) plays a pivotal role in various edge
intelligence applications, notably in fields such as autonomous driving, navigation, and …

As the number of interconnected devices increases and more artificial intelligence (AI)
applications upon the Internet of Things (IoT) start to flourish, so does the environmental cost …

Automatic scenario recognition (ASR) based on channel status information (CSI) is an
important auxiliary technology for various wireless communication systems, especially …

Scenario data play a vital role in autonomous driving related researches, and it is essential
to obtain refined descriptions and labels to extract and index scenarios with different types of …

Current autonomous driving technologies are being rolled out in geo-fenced areas with well-
defined operation conditions such as time of operation, area, weather conditions and road …

Billions of sensor-enabled computing devices open tremendous opportunities for AI-
powered context-aware services. Yet, democratizing AI so that heterogeneous devices can …

While existing strategies for optimizing deep learning-based classification models on low-
power platforms assume the models are trained on all classes of interest, this paper posits …

While existing strategies to execute deep learning-based classification on low-power
platforms assume the models are trained on all classes of interest, this paper posits that …

Semantic segmentation is key in autonomous driving. Using deep visual learning
architectures is not trivial in this context, because of the challenges in creating suitable large …

Incorporating deep-learning (DL) classification models into unmanned aerial vehicles
(UAVs) can significantly augment search-and-rescue operations and disaster management …