Massive human population, coupled with rapid urbanization, results in a substantial amount
of garbage that requires daily collection. In urban areas, garbage often accumulates around …

In the rapidly evolving landscape of electronics, Artificial Intelligence Circuits and Systems
(AICAS) stand out as a groundbreaking frontier. This review provides an exhaustive …

The research field of autonomous self-driving vehicles has recently become increasingly
popular. In addition, motion-planning technology is essential for autonomous vehicles …

Heart sounds convey important information regarding potential heart diseases. Currently,
heart sound classification attracts many researchers from the fields of telemedicine, digital …

The complex nature of real-world problems calls for heterogeneity in both machine learning
(ML) models and hardware systems. The heterogeneity in ML models comes from multi …

Wireless Underground Sensor Networks (WUSNs) have been showing prospective
supervising application domains in the underground region of the earth through sensing …

The forecasts of electricity and heating demands are key inputs for the efficient design and
operation of energy systems serving urban districts, buildings, and households. Their …

Recent advances in both lightweight deep learning algorithms and edge computing
increasingly enable multiple model inference tasks to be conducted concurrently on …

Accurate 3D object detection in real-world environments requires a huge amount of
annotated data with high quality. Acquiring such data is tedious and expensive, and often …

Unmanned aerial vehicles (UAVs) have become an important tool for transmission line
inspection, and the inspection images taken by UAVs often contain complex backgrounds …