Search Results - "Wu, Yanghui"
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A XGBoost Model with Weather Similarity Analysis and Feature Engineering for Short-Term Wind Power Forecasting
Published in Applied sciences (01-08-2019)“…Large-scale wind power access may cause a series of safety and stability problems. Wind power forecasting (WPF) is beneficial to dispatch in advance. In this…”
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2
An improved evolution algorithm using population competition genetic algorithm and self-correction BP neural network based on fitness landscape
Published in Soft computing (Berlin, Germany) (01-02-2021)“…The genetic algorithm-backpropagation neural network algorithm (GA-BP) makes full use of the advantages of genetic algorithm (GA) and BP neural network (BPNN)…”
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3
A transparent and flexible microwave absorber covering the whole WiFi waveband
Published in AIP advances (01-02-2019)“…The WiFi technology has become a world-wide everyday service, and the accompanying electromagnetic pollution has attracted more and more attentions. This paper…”
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4
Design of a Transparent Metamaterial Cross Polarization Converter With Large Incident Angle Range
Published in IEEE photonics journal (01-08-2021)“…In recent years, the metamaterial has become a popular and powerful tool in the electromagnetic polarization conversion design. In this paper, a flexible and…”
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Deep neural network training method based on vectorgraphs for designing of metamaterial broadband polarization converters
Published in Scientific reports (27-03-2023)“…In this work, we proposed a method of extracting feature parameters for deep neural network prediction based on the vectorgraph storage format, which can be…”
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6
A High-Performance Ultra-Broadband Transparent Absorber With a Patterned ITO Metasurface
Published in IEEE photonics journal (01-06-2022)“…A high-performance microwave absorber with simultaneously ultra-broadband microwave absorption, mechanical flexibility and high optical transparency is…”
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7
An Optically Transparent Ultrabroadband Microwave Absorber
Published in IEEE photonics journal (01-12-2017)“…An optically transparent ultrabroadband microwave absorber was proposed and experimentally verified, which achieved 23.4-GHz deep absorption bandwidth…”
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Prediction of the Electromagnetic Shielding Effectiveness of Metal Grid Using Neural Network Algorithm
Published in IEEE photonics journal (01-08-2021)“…With the advantages of simple structure, high electromagnetic (EM) shielding effectiveness (SE), wide shielding bandwidth and adjustable transmittance, the…”
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9
Super-Precise Scale Bar for Reflection-Type THz Imaging
Published in IEEE photonics journal (01-08-2017)“…The reflection of terahertz wave from a metallic surface with subwavelength periodic structure was investigated experimentally and theoretically. It is shown…”
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10
Banking competition and stock price crash risk
Published in Finance research letters (01-12-2023)“…•The banking competition reduces the share price crash.•Increased banking competition discourages corporate non-compliance.•Increased banking competition…”
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Evasion of interest withholding tax: Evidence from trading volumes in Australian government bonds
Published in Journal of Australian taxation (01-12-2015)“…There is very little evidence on the evasion of interest withholding tax. We find such evidence by focussing on the 5 December 2009 abolition of interest…”
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12
Two novel Ant Colony Optimization approaches for Bayesian network structure learning
Published in IEEE Congress on Evolutionary Computation (01-07-2010)“…Learning Bayesian networks from data is an NP-hard problem with important practical applications. Several researchers have designed algorithms to overcome the…”
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Conference Proceeding -
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Fitness landscape analysis of Bayesian network structure learning
Published in 2011 IEEE Congress of Evolutionary Computation (CEC) (01-06-2011)“…Algorithms for learning the structure of Bayesian Networks (BN) from data are the focus of intense research interest. Search-and-score algorithms using…”
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Conference Proceeding -
14
Landscape analysis for hyperheuristic Bayesian Network structure learning on unseen problems
Published in 2012 IEEE Congress on Evolutionary Computation (01-06-2012)“…Bayesian network (BN) structure learning is an NP hard problem. Search and score algorithms are one of the main approaches proposed for learning BN structure…”
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Conference Proceeding -
15
Customized Design of Frequency-Selective Surfaces Using the Vector-Graph-Feature-Extraction Deep-Neural-Network (VGFE-DNN) Method
Published in IEEE transactions on antennas and propagation (01-08-2024)“…In this communication, we propose the vector-graph-feature-extraction (VGFE) approach to accurately and concisely characterize details of electromagnetic…”
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16
Optical-transparent flexible broadband absorbers based on the ITO-PET-ITO structure
Published in Optical materials express (01-06-2018)“…Traditional microwave absorbers usually use the epoxy resin dielectric board, which is neither flexible nor optically transparent, so cannot be used in certain…”
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17
Transparent and flexible broadband absorber for the sub-6G band of 5G mobile communication
Published in Optical materials express (01-11-2018)“…5G mobile communication is developing at a faster-than-expected pace, especially in the mid-frequency band (so-called sub-6G band). This paper presents a…”
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18
Flexible and Transparent W-Band Absorber Fabricated by EHD Printing Technology
Published in IEEE antennas and wireless propagation letters (01-08-2020)“…A mechanically flexible and optically transparent millimeter-wave broadband absorber was proposed and fabricated. The absorber showed >90% absorption in…”
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19
Concept Demonstration of a Smart Pressure Sensing Rollable Piano
Published in IEEE transactions on instrumentation and measurement (2024)“…This work proposes a new type of portable piano based on a gridless flexible intelligent pressure-sensing system, deep neural networks (DNNs), and hardware…”
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20
Multi-Dialect Speech Recognition with a Single Sequence-to-Sequence Model
Published in 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (01-04-2018)“…Sequence-to-sequence models provide a simple and elegant solution for building speech recognition systems by folding separate components of a typical system,…”
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Conference Proceeding