Abstract The Internet of Things (IoT) consists of heterogeneous devices such as wearables
and monitoring devices that collect data to provide autonomous decision-making and smart …

Is TinyML Sustainable? Page 1 THE CONTINUED GROWTH of carbon emissions and global
waste presents a great concern for our environment, increasing calls for a more sustainable …

Fresh dates have a limited shelf life and are susceptible to spoilage, which can lead to
economic losses for producers and suppliers. The problem of accurate shelf life estimation …

Recently, there has been a substantial interest in on-device Machine Learning (ML) models
to provide intelligence for the Internet of Things (IoT) applications such as image …

This paper presents the utilization of the ESP32 microcontroller as a teaching tool for signal
acquisition, processing, and control theory in biotechnological engineering. The ESP32 …

The safety and quality of fresh fruits deserve the greatest attention, and are a priority for
producers and consumers alike. Modern technologies are crucial to accurately estimating …

Machine learning at the extreme edge has enabled a plethora of intelligent, time-critical, and
remote applications. However, deploying interpretable artificial intelligence systems that can …

Recent advances in Tiny Machine Learning (TinyML) empower low-footprint embedded
devices for real-time on-device Machine Learning (ML). While many acknowledge the …

The use of technology in agriculture has been gaining significant attention recently. By
employing advanced tools and automation and leveraging the latest advancements in the …

Introduction. Spatiotemporal gait parameters, eg, gait stride length, are measurements that
are classically derived from instrumented gait analysis. Today, different solutions are …