In the process of agricultural production in solar greenhouses, the key to the healthy growth
of greenhouse crops lies in accurately predicting environmental conditions. However, there …

With the increasing popularity of the IoTs (Internet of Things), the efficient data collection with
Unmanned Aerial Vehicles (UAVs) is demanded by numerous applications. The technical …

Many estimation and reconstruction algorithms in signal processing fields can be improved
themselves if the number of signals is known. However, this assumption of preknowledge is …

Data collection is an essential part of Beyond-5G and Internet of Things applications. In
urban area, heterogeneous access points such as Wi-Fi routers and base stations can meet …

Wireless sensor networks (WSNs) for condition monitoring of mechanical equipment have
been shown effective for ensuring operational safety and reducing breakdown losses. For …

With the explosive development of Internet of Things (IoT) devices, edge sensors are
deployed densely to monitor the environment. The status data can be sampled by the edge …

Long Short-Term Memory (LSTM) Neural Network has great potential to predict sequential
data. Time series prediction is one of the most popular experimental subjects of LSTM. To …

As a highly efficient and flexible data collection device, Unmanned Aerial Vehicles (UAVs)
have gained widespread application because of the continuous proliferation of Internet of …

Energy is one of the most important factors in a country growth, both in the industrial and
household fields. Among these fields, the industrial sector that needs the most in supporting …

Due to the advancements of information technologies and the Internet of Things (IoT), the
number of distributed sensors and IoT devices in the social IoT (SIoT) systems is …