The employment of unmanned aerial vehicles (UAVs) has greatly facilitated the lives of
humans. Due to the mass manufacturing of consumer unmanned aerial vehicles and the …

Federated learning (FL) is emerging as a new paradigm to train machine learning (ML)
models in distributed systems. Rather than sharing and disclosing the training data set with …

Smart healthcare relies on artificial intelligence (AI) functions for learning and analysis of
patient data. Since large and diverse datasets for training of Machine Learning (ML) models …

The widespread adoption of the fifth generation (5G) of cellular networks has brought new
opportunities for localization-based services. High-precision positioning use cases and …

Absolute positioning of vehicles is based on Global Navigation Satellite Systems (GNSSs)
combined with on-board sensors and high-resolution maps. In cooperative intelligent …

This paper investigates the problem of target localization in underwater sensor networks,
subjected to limited measurement range and accuracy. The localization process is mainly …

A problem-solving approach to statistical signal processing for practicing engineers,
technicians, and graduate students This book takes a pragmatic approach in solving a set of …

When an epidemic spreads into a population, it is often impractical or impossible to
continuously monitor all subjects involved. As an alternative, we propose using algorithmic …

Disruptive technologies proposed for 5G wireless systems and the IoT hold promise of
providing unprecedented localization capabilities for a wide range of application scenarios …

A transmitting device can be localized based only on the received signal strength (RSS)
measured by receivers. Typical RSS-based algorithms assume the a priori knowledge of the …