Abstract: Wireless sensor networks (WSNs) are a crucial component of modern information technology and are widely used in applications such as environmental monitoring, smart homes, and healthcare.

Levels change slowly in tanks that are usually geographically dispersed, making them ideal candidates for wireless sensor ...

Researchers at the Department of Energy's Oak Ridge National Laboratory have developed a deep learning algorithm that ...

Urban environments depend on complex assemblages of infrastructure assets, interconnected networks, and socio-technical ...

Abstract: Wireless rechargeable sensor networks (WRSNs) have become an important research topic as they show merit in long-term monitoring operations. Existing techniques focus on improving system ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...