A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time ...

Abstract: Wireless Sensor Actor Networks (WSAN) are a key enabler of Internet of Things applications that demand timely and reliable data exchange under dynamic conditions. Among the various domains ...

Abstract: The large-scale applications of wireless sensor networks (WSNs) place higher demands on their reliability. WSNs deployed in the intelligent tunnel are often affected by environmental ...

Home automation with high usefulness and low annoyance tends to rely on reliable person sensing, and [francescopace]’s ...

A salt-grain-sized neural implant can record and transmit brain activity wirelessly for extended periods. Researchers at Cornell University, working with collaborators, have created an extremely small ...

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

As we move towards the sixth generation (6G) of wireless communications, the demand for ultra-high data rates, massive connectivity, and extreme reliability ...

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 ...

├─ src/ # MATLAB source code (channel, DBPSK, OFDM, PN, etc.) ├─ test/ # Validation and smoke tests ├─ docs/ │ ├─ assets/ # Figures, plots, channel visualizations │ └─ specs/ # Original handout / ...