An increasingly important aspect of analyzing the challenges facing cities today is the
integration of nature. Nature-based solutions have the potential to successfully cope with the …

Recently, LoRaWAN communications have become a widely used technology within IoT
ecosystems due to their long-range coverage, low-cost, and native RSSI-based location …

This research explores the transformative potential of on-device machine learning (ML)
algorithms to enhance MAC layer protocols in wireless communication. Traditional …

Industry 5.0 (I5. 0), is gaining more attention as a means of improving human life in the
future. IoT plays a critical role in providing the necessary information and performing actions …

The next generation of mobile networks called sixth generation (6G) is predicted to support a
highly dense network for future of Internet of Everything (IoE) with up to 500 billion devices …

Providing location information by taking advantage of signal features from networking
activity is a cost-effective approach to substituting conventional GNSS technologies in harsh …

In this work, We consider and review some of the key enablers and aspects of IoT,
communication and machine learning integration together. In order to improve …

Internet of Things (IoT) became more and more popular because of the raise of ubiquitous
internet connected devices. In this regard, IoT nodes are often organized in wireless sensor …

This study employed a l0-fold cross-validation approach to train and validate neural
networks to predict the RSSI (received signal strength indicator) in LoRaWAN …

On-device Machine Learning (on-deviceML) is the concept of bringing Machine Learning
models to the constraint device itself and making it smarter. Tiny Machine Learning (TinyML) …