The advancements in machine learning (ML) opened a new opportunity to bring intelligence
to the low-end Internet-of-Things (IoT) nodes, such as microcontrollers. Conventional ML …

Human societies depend on marine ecosystems, but their degradation continues. Toward
mitigating this decline, new and more effective ways to precisely measure the status and …

Inertial sensors are widely utilized in smartphones, drones, vehicles, and wearable devices,
playing a crucial role in enabling ubiquitous and reliable localization. Inertial sensor-based …

This review article is an attempt to survey all recent AI based techniques used to deal with
major functions in This review paper presents a comprehensive overview of end-to-end …

Crowdsourcing dramatically benefits WiFi fingerprinting localization in reducing the costs of
collecting received signal strength (RSS) data during offline site survey and has gained …

Precision agricultural robots require high-resolution navigation solutions. In this paper, we
introduce a robust neural-inertial sequence learning approach to track such robots with ultra …

This article discusses 'Metaverse'from a technical perspective, focusing on networked
systems aspects. Based on a technical definition of the 'Metaverse,'we examine the current …

ABSTRACT Inertial Measurement Units (IMU) are commonly used in inertial attitude
estimation from engineering to medical sciences. There may be disturbances and high …

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 …

Long-term and fine-grained maritime localization and sensing are challenging due to
sporadic connectivity, constrained power budget, limited footprint, and hostile environment …