Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Huisheng Zhang"'
Publikováno v:
IEEE Signal Processing Letters. 30:175-179
Publikováno v:
ISA Transactions. 129:429-441
The gas path fault diagnosis is considered widely to ensure the economy, safety and practicability of gas turbines. Traditional gas path diagnosis methods are vulnerable to various uncertainties, resulting in a deviation between the diagnostic result
Publikováno v:
IEEE Access, Vol 9, Pp 66006-66016 (2021)
Online sequential extreme learning machine (OS-ELM) has become a popular online learning strategy for single-hidden layer feedforward neural networks, and complex-valued signals are ubiquitous in real applications. In order to cater for complex-value
Publikováno v:
China Communications. 17:93-106
In order to improve the physical layer security of the device-to-device (D2D) cellular network, we propose a collaborative scheme for the transmit antenna selection and the optimal D2D pair establishment based on deep learning. Due to the mobility of
Publikováno v:
Energy. 163:1-14
Ejector technology is introduced to perform the anode and cathode recirculation loops with low maintenance costs and high reliability. Four different operating strategies were designed for the novel solid oxide fuel cell-gas turbine hybrid system wit
Autor:
Huisheng Zhang, Shiya Sun
Publikováno v:
Quantum Information Processing. 19
Combining with the idea of quantum multi-cast, in this paper, a novel theoretical scheme is presented to fulfil four-party quantum double-direction cyclic controlled communication by using a thirteen-qubit entangled state as the quantum channel. In t
Publikováno v:
Energy. 109:420-429
Maintenance strategy for energy conversion equipment degradation is now experiencing the transformation from fail-and-fix to predict-and-prevent due to the equipment complexity and the strict requirements for equipment reliability. Actually, the curr
Publikováno v:
IEEE Transactions on Medical Imaging. 35:109-118
This paper presents a new supervised method for vessel segmentation in retinal images. This method remolds the task of segmentation as a problem of cross-modality data transformation from retinal image to vessel map. A wide and deep neural network wi
Publikováno v:
Energy. 200:117467
The fault diagnosis of gas turbines plays a vital role in engine reliability and availability. The data-driven diagnostic model has been verified useful for identifying and characterizing engine degradation. But Convolution Neural Networks (CNN) is c
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 12:1551-1555
The scale space-based method has been recently studied for multispectral alignment; however, due to the significant intensity difference between the image pairs, there are usually not enough keypoint correspondences found, and the robustness of the a