Rapid and accurate estimation of soil moisture content (SMC) is an important part of
precision agriculture, and it is also one of the key problems to be solved in field real-time …

With the development of mission critical sensors and sensor networks (MC-SSNs), using MC
sensor for monitoring the changes of soil moisture has become convenient and real time …

This paper introduced an end-to-end mixed deep learning model for automatic sleep
analysis based on the EEG signal. Unlike some existing machine learning models for EEG …

Compressive sensing (CS) can greatly reduce the number of sampling points of signals, and
therefore it is widely adopted in ultrawideband (UWB) sensor systems. However, how to …

In this article, a multiple relay selection (MRS) scheme for signal-to-noise ratio (SNR)
enhancement is proposed for underlay relay-assisted cognitive radio networks (RCRNs). A …

Rapid and accurate monitoring of soil organic matter (SOM) content is of great significance
for precision fertilization of farmland. However, the SOM retrieval models are mainly …

This paper presents a python library that includes a toolkit with the aim of improving the
interpretability of expert systems based on fuzzy cognitive maps through improvements in …

One of the vegetables that have high commodities namely paprika, paprika provides a great
opportunity for local and export markets. Paprika contains high enough nutrients consisting …

This paper proposed a new method to predict soil pH values based on ensemble methods
via ultra-wideband (UWB) radar echoes, due to the fact that the ensemble method has a fast …

In this paper, we propose a novel data augmentation method named Semantic Constraint
Generative Adversarial Network (SCGAN) for person re-identification (Re-ID) in camera …