With the significant advancement of sensor and communication technology and the reliable
application of obstacle detection techniques and algorithms, automated driving is becoming …

Although there are well established object detection methods based on static images, their
application to video data on a frame by frame basis faces two shortcomings:(i) lack of …

Smart cities result from integrating advanced technologies and intelligent sensors into
modern urban infrastructure. The Internet of Things (IoT) and data integration are pivotal in …

After many years of decline, hunger in Africa is growing again. This represents a global
societal issue that all disciplines concerned with data analysis are facing. The rapid and …

Machine‐learning‐enhanced nanosensors are rapidly emerging as a promising solution in
the field of sensor technology, as traditional sensors encounter limitations of data analysis in …

This article presents a novel framework to realize proprioception and closed-loop control for
soft manipulators. Deformations with large elongation and large bending can be precisely …

Smart maintenance is essential to achieving a safe and reliable railway, but traditional
maintenance deployment is costly and heavily human-involved. Ineffective job execution or …

This article proposes a novel decentralized two-layered and multi-sensorial based fusion
architecture for establishing a novel resilient pose estimation scheme. As it will be …

Optimizing the quality of result (QoR) and the quality of service (QoS) of AI-empowered
autonomous systems simultaneously is very challenging. First, there are multiple input …

The proliferation of sensors to capture parametric measures or event data over a myriad of
networking topologies is growing exponentially to improve our daily lives. Large amounts of …