Missing data is a common phenomenon in sensor networks, especially in the large-scale
monitoring system. It can be affected by various kinds of reasons. Moreover, incomplete data …

Electricity is indispensable and of strategic importance to national economies.
Consequently, electric utilities make an effort to balance power generation and demand in …

Sensor technology has matured enough to be used in any type of environment. The
appearance of new physical sensors has increased the range of environmental parameters …

Ripeness classification of oil palm fresh fruit bunches (FFBs) during harvesting is important
to ensure that they are harvested during optimum stage for maximum oil production. This …

Dealing with large percentage data missing is always a challenge for load data recovery.
This paper, drawing on ideas from image inpainting, formulates load missing data recovery …

Vegetation loss has become a global concern as it is directly and indirectly harmful to all
living beings, specifically to humans. By realizing the dimension of this issue, we have …

The existing literature emphasized on the role of anthropogenic activities toward landscape
insecurity of the wetlands, but in urban dominated infrastructurally advanced study area …

The complexities of coupled environmental and human systems across the space and time
of fragile systems challenge new data-driven methodologies. Combining geographic …

Purpose In large-scale monitoring systems, sensors in different locations are deployed to
collect massive useful time-series data, which can help in real-time data analytics and its …

This paper presents a system based on an Artificial Neural Network (ANN) for estimating
and predicting environmental variables related to tobacco drying processes. This system …