This article reviews the applications of artificial neural networks (ANNs) in greenhouse
technology, and also presents how this type of model can be developed in the coming years …

Under the guidance of the material genome initiative (MGI), the use of data‐driven methods
to discover new materials has become an innovation of materials science. The polymer …

The exponential growth of deep learning networks has allowed us to tackle complex tasks,
even in fields as complicated as medicine. However, using these models requires a large …

Deep learning (DL) is one of the branches of artificial intelligence that has seen exponential
growth in recent years. The scientific community has focused its attention on DL due to its …

Abstract Membrane Capacitive Deionization (MCDI) is a promising electrochemical
technique for water desalination. Previous studies have confirrmed the effectiveness of …

In fishery acoustics, surveys using sensor systems such as sonars and echosounders have
been widely considered to be accurate tools for acquiring fish species data, fish species …

Traditional agriculture has been the pillar of development on the planet for centuries. But
with exponential population growth and increasing demand, farmers will need water to …

Accurate and reliable groundwater level (GWL) forecasting is crucial for developing
strategies and managing water resources. In recent years, Machine Learning (ML) has …

The developing of deep learning systems that used for chronic diseases diagnosing is
challenge. Furthermore, the localization and identification of objects like white blood cells …

Load frequency control (LFC) has recently gained importance due to the increasing
integration of wind energy in contemporary power systems. Hence, several power system …