Abstract Fine particulate matter (PM 2.5) remains a major air pollutant of significant public
health concern in urban areas. Long-term monitoring data of PM 2.5 chemical composition …

Predicting current harmonics in distribution networks is essential to find harmonic losses and
power quality indices. In order to predict the current harmonics, the effect of grid impedance …

The compressors used in today's natural gas production industry have an essential role in
maintaining the production line operational. Each of the compressors' components has …

The unprecedented increase in population and urbanization dynamics, particularly without
the requisite road infrastructure on the African continent, necessitates a more contextual …

Due to its impact on our ecosystem (ie vegetation, soil, water, etc.), global change has
become more significant over time. Therefore, several biophysical indices (eg NDVI, NDWI …

Time series (TS) and multiple time series (MTS) predictions have historically paved the way
for distinct families of deep learning models. The temporal dimension, distinguished by its …

Data on historical extreme events provides information not only for water resources planning
and management but also for the design of disaster-prevention measures. However, most …

There is a lot of talk about autonomous vehicles, and Europe is very much focusing on their
use and deployment. However, the field use of these vehicles is still very limited. The …

The purpose of this publication is to analyze the spatial and temporal variability of the
territorial sea baseline in sand bottom waterbodies, which were determined twice, in 2016 …

Recent work have successfully employed a low-cost Multisensor Data Fusion application
based on Hybrid Adaptive Computational Intelligence (HACI)—the cascaded use of Fuzzy …