Accurate estimation of reference evapotranspiration (ET 0) is of great importance for the
regional water resources planning and irrigation scheduling design. The FAO-56 Penman …

Real-time prediction of the rock mass class in front of the tunnel face is essential for the
adaptive adjustment of tunnel boring machines (TBMs). During the TBM tunnelling process …

The uneven distribution of fibres in concrete is a key factor that affects the mechanical
properties of the components/structures. Many approaches have been developed to detect …

Assessing and predicting forest fires has long been an arduous task. Nowadays, the rapid
advancement of artificial intelligence and machine learning technologies have provided a …

In this paper, information entropy and ensemble learning based signal recognition theory
and algorithms have been proposed. We have extracted 16 kinds of entropy features out of 9 …

Emotion recognition is of great importance for artificial intelligence, robots, and medicine etc.
Although many techniques have been developed for emotion recognition, with certain …

In this study, ground target recognition based on one‐dimensional convolutional neural
network (CNN) is studied by exploiting the targets' high‐resolution range profiles (HRRPs) …

Feature representation based on the high resolution range profile (HRRP) is the key
technology in radar automatic target recognition (RATR). In this paper, we design a deep-u …

Ballistic missile defense systems require accurate target recognition technology. Effective
feature extraction is crucial for this purpose. The deep convolutional neural network (CNN) …

Solar radiation is an important parameter in the fields of computer modeling, engineering
technology and energy development. This paper evaluated the ability of three machine …