The Internet of Things (IoT) describes the concept of physical objects equipped with
identifying, sensing, networking, and processing capabilities being connected to the Internet …

Virtual wetland landscapes of provide fundamental support for digital twin watershed
constructions. However, most digital twin applications in natural environments have focused …

Access to real-time environmental sensing data is key to representing real-time
environmental changes in the digital twin of lakes. The visualization of environmental …

Dissolved oxygen is a critical component of river water quality. This study investigated
average weekly dissolved oxygen (AWDO) and average weekly water temperature (AWT) in …

There are limitations to traditional digital watershed platforms in terms of realistic
visualization of geospatial elements and powerful decision support for watershed …

We rest on the edge computing paradigm where pushing processing and inference to the
edge of the Internet of Things (IoT) allows the complexity of predictive analytics to be …

On-line statistical and machine learning analytic tasks over large-scale contextual data
streams coming from eg, wireless sensor networks, Internet of Things environments, have …

Nowadays people are often concerned that they have symptoms from exposures to
environment in the buildings where they work. Hence it is necessary to monitor indoor …

We present an incremental code update strategy used to efficiently reprogram wireless
sensor nodes. We adapt a linear space and quadratic time algorithm (Hirschberg's …

Population growth, energy demand, and climate change are placing an unprecedented
strain on water resources, requiring a fundamental shift in how these resources are …