Almost inevitable climate change and increasing pollution levels around the world are the
most significant drivers for the environmental monitoring evolution. Recent activities in the …

Detecting disruptive events, such as earthquakes, using environmental monitoring systems
is a particularly promising, but rather challenging, opportunity. The Internet of Things (IoT) …

Boosting sustainable urban development by helping cities across the world to adopt a smart
city approach is one of the main commitments of the United Nations (UN). This commitment …

Earthquake early warning system uses high-speed computer network to transmit earthquake
information to population center ahead of the arrival of destructive earthquake waves. This …

Earthquake Early Warning (EEW) systems can effectively reduce fatalities, injuries, and
damages caused by earthquakes. Current EEW systems are mostly based on traditional …

This paper introduces a unified representation for collaborative development of complex
services in public safety to explain the infusion of digital technologies into the design of the …

MyShake harnesses private and personal smartphones to build a global seismic network. It
uses the accelerometers embedded in all smartphones to record ground motions induced by …

Adaptive importance sampling for stochastic optimization is a promising approach that offers
improved convergence through variance reduction. In this work, we propose a new …

An $\varepsilon $-coreset for a given set $ D $ of $ n $ points, is usually a small weighted
set, such that querying the coreset\emph {provably} yields a $(1+\varepsilon) $-factor …

As a common road surface distress, cracks pose a serious threat to road infrastructure and
traffic safety in cities today. Consequently, road crack detection is considered as an essential …