Marine pollution and bacterial disease outbreaks are two closely related dilemmas that
impact marine fish production from fisheries and mariculture. Oil, heavy metals …

AI-driven surveillance has emerged as a transformative approach for monitoring the health
and disease status of ocean organisms. With the increasing availability of data and …

Impact echo (IE) is a non-destructive evaluation method commonly used to detect
subsurface delamination in reinforced concrete bridge decks. Existing analysis methods are …

Advanced large-scale environmental monitoring systems relying on the emerging
aerial/terrestrial technologies of wireless sensor networks (WSNs), unmanned aerial …

In this work, we introduce an innovative Markov Chain Monte Carlo (MCMC) classifier, a
synergistic combination of Bayesian machine learning and Apache Spark, highlighting the …

The Internet of Things (IoT) is a key technology to interconnect the real and digital worlds,
enabling the development of smart cities and services. The timely collection of data is …

Wireless Sensor Networks (WSNs) have a wonderful potential to interconnect with the
physical world and collect data. Data estimation, long lifespan, deployment, routing, task …

Abstract A Wireless Sensor Networks consists of small, inexpensive, battery powered
wireless sensors, which self configure and collaborate with each other to support cost …

The Internet of Things (IoT) is gaining traction for sensing and monitoring outdoor
environments, such as water bodies, forests, or agricultural lands. Sustainable deployment …

The increasing food scarcity necessitates sustainable agriculture achieved through
automation to meet the growing demand. Integrating the Internet of Things (IoT) and …