[HTML][HTML] A comprehensive review on automation in agriculture using artificial intelligence
Agriculture automation is the main concern and emerging subject for every country. The
world population is increasing at a very fast rate and with increase in population the need for …
world population is increasing at a very fast rate and with increase in population the need for …
Energy harvesting in wireless sensor networks: A comprehensive review
FK Shaikh, S Zeadally - Renewable and Sustainable Energy Reviews, 2016 - Elsevier
Abstract Recently, Wireless Sensor Networks (WSNs) have attracted lot of attention due to
their pervasive nature and their wide deployment in Internet of Things, Cyber Physical …
their pervasive nature and their wide deployment in Internet of Things, Cyber Physical …
A survey on river water quality modelling using artificial intelligence models: 2000–2020
There has been an unsettling rise in the river contamination due to the climate change and
anthropogenic activities. Last decades' research has immensely focussed on river basin …
anthropogenic activities. Last decades' research has immensely focussed on river basin …
A review of the artificial neural network models for water quality prediction
Water quality prediction plays an important role in environmental monitoring, ecosystem
sustainability, and aquaculture. Traditional prediction methods cannot capture the nonlinear …
sustainability, and aquaculture. Traditional prediction methods cannot capture the nonlinear …
Machine learning in natural and engineered water systems
R Huang, C Ma, J Ma, X Huangfu, Q He - Water Research, 2021 - Elsevier
Water resources of desired quality and quantity are the foundation for human survival and
sustainable development. To better protect the water environment and conserve water …
sustainable development. To better protect the water environment and conserve water …
[HTML][HTML] Review of the application of Artificial Neural Networks in ocean engineering
NP Juan, VN Valdecantos - Ocean Engineering, 2022 - Elsevier
Abstract Artificial Neural Networks (ANNs) were firstly used to model ocean engineering
problems in the decade of 1990s. Since then, this soft-modelling technique has proved …
problems in the decade of 1990s. Since then, this soft-modelling technique has proved …
Prediction of groundwater quality using efficient machine learning technique
To ensure safe drinking water sources in the future, it is imperative to understand the quality
and pollution level of existing groundwater. The prediction of water quality with high …
and pollution level of existing groundwater. The prediction of water quality with high …
A review of artificial neural network models for ambient air pollution prediction
Research activity in the field of air pollution forecasting using artificial neural networks
(ANNs) has increased dramatically in recent years. However, the development of ANN …
(ANNs) has increased dramatically in recent years. However, the development of ANN …
How can Big Data and machine learning benefit environment and water management: a survey of methods, applications, and future directions
Big Data and machine learning (ML) technologies have the potential to impact many facets
of environment and water management (EWM). Big Data are information assets …
of environment and water management (EWM). Big Data are information assets …
Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS
Flood is one of the natural hazards which occur all over the world and it is critical to be
controlled through proper management. Severe flood events in Kelantan, Malaysia cause …
controlled through proper management. Severe flood events in Kelantan, Malaysia cause …