The decline of dissolved oxygen in the oceans could be detrimental to marine life and
biogeochemical cycles. However, predicting future oxygen availability with models that …

In any aquatic system analysis, the modelling water quality parameters are of considerable
significance. The traditional modelling methodologies are dependent on datasets that …

Currently, internet of things (IoT) devices like environmental sensors are used to capture real-
time data that can be viewed and interpreted via a visual format supported by a server …

In this study, three single Artificial Intelligence (AI) based models ie, Back Propagation
Neural Network (BPNN), Adaptive Neuro Fuzzy Inference System (ANFIS), Support Vector …

Biological processes tend to dominate the oxygen regime of productive waters. However, in
shallow aquatic ecosystems, it is unclear whether the oxygen regime is driven by oxygen …

The term “water quality” is used to describe the condition of water, including its chemical,
physical, and biological characteristics. Modeling water quality parameters is a very …

Ocean dynamics is known to have a strong effect on the global climate change and on the
composition of the atmosphere. In particular, it is estimated that about 70% of the …

The objective of this study is to develop a feedforward neural network (FNN) model to predict
the dissolved oxygen in the Gruža Reservoir, Serbia. The neural network model was …

Most of the water quality models previously developed and used in dissolved oxygen (DO)
prediction are complex. Moreover, reliable data available to develop/calibrate new DO …

Floating photovoltaics (FPV) is emerging as a promising renewable energy technology
which enables the production of electricity on surface waters. While this technology could …