Controlled environment agriculture (CEA) is an unconventional production system that is
resource efficient, uses less space, and produces higher yields. Deep learning (DL) has …

Human Activity Recognition (HAR) systems are devised for continuously observing human
behavior-primarily in the fields of environmental compatibility, sports injury detection, senior …

Agriculture is a fundamental aspect of our society, providing food and resources for a
growing population. However, climate change is putting this sector at risk through rising …

This research presents the optimum performance model for predicting the shallow
foundation ultimate bearing capacity (UBC). Twenty-one models are employed, trained …

Extensive user check-in data incorporating user preferences for location is collected through
Internet of Things (IoT) devices, including cell phones and other sensing devices in location …

Abstract The Corona Virus Disease 2019 has a great impact on public health and public
psychology. People stay at home for a long time and rarely go out. With the improvement of …

The main goal of this research paper is to apply a deep neural network model for time series
forecasting of environmental variables. Accurate forecasting of snow cover and NDVI are …

Wind power has quickly developed in the world owing to the advantages of pure,
inexpensive, and inexhaustible. However, strong volatility, unmanageable, and randomness …

Deep learning (DL) models are becoming pervasive and applicable to computer vision,
image processing, and synthesis problems. The performance of these models is often …

Solar greenhouses offer favorable climatic environments for the production of off-season
crops in northern China. Greenhouse temperature and humidity are critical environmental …