Abstract Large-scale Cyber–Physical Systems (CPSs) are information systems that involve a
vast network of sensor nodes and other devices that stream observations in real-time and …

Various sensor network measurement studies have reported instances of transient faults in
sensor readings. In this work, we seek to answer a simple question: How often are such …

Wireless sensor networks (WSNs) have been used extensively in a range of applications to
facilitate real-time critical decision-making and situation monitoring. Accurate data analysis …

Cyber-Physical Systems (CPSs) are cross-domain, multi-model, advance information
systems that play a significant role in many large-scale infrastructure sectors of smart cities …

Although there have been significant advancements in low-power remote sensors in recent
years, the challenge of sensor availability and data reliability in remote monitoring …

It has been a challenge to find patterns in a time series of sensor data for fault detection in a
system. Since it is usually not straightforward to discover meaningful features and rules …

Detecting and isolating faults in cyber-physical systems (CPSs), eg, critical infrastructures,
smart buildings/cities, and the internet-of-things, are tasks that do generally scale badly with …

Distributed monitoring sensor networks are used in an ever increasing number of
applications, particularly with the advent of IoT technologies. This has led to a growing …

Event detection is a critical task in sensor networks, especially for environmental monitoring
applications. Traditional solutions to event detection are based on analyzing one-shot data …

Anomaly detection in spatial time series (spatiotemporal data) is a challenging problem with
numerous potential applications. A comprehensive anomaly detection approach not only …