International Conference on Neural Computing for Advanced Applications
4th International Conference, NCAA 2023, Hefei, China, July 7–9, 2023, Proceedings, Part I
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48 Result(s)
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**zhou Wu
Artificial Intelligence
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Article
Multi-scale deep echo state network for time series prediction
Echo state network (ESN) has widely attracted many researchers due to its training process without backpropagation. However, it is hard for single ESN to fit those complex and polytrophic situations. Under thi...
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Article
Dual-stage temporal perception network for continuous sign language recognition
Continuous sign language recognition (CSLR) aims to identify a sequence of glosses from a sign language video with only a sentence-level label provided in a weakly supervised way. In sign language videos, the ...
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Chapter
Linguistic Steganography and Linguistic Steganalysis
The objective of linguistic steganography is to embed additional data in text carriers for covert communication, whereas linguistic steganalysis, as a counter technology to linguistic steganography, aims at re...
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Article
Time-series benchmarks based on frequency features for fair comparative evaluation
Time-series prediction and imputation receive lots of attention in academic and industrial areas. Machine learning methods have been developed for specific time-series scenarios; however, it is difficult to ev...
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Article
Special issue on neural computing and applications 2020
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Chapter and Conference Paper
A Twin Learning Evolutionary Algorithm for Capacitated Vehicle Routing Problem
Capacitated vehicle routing problem (CVRP) is challenging or even impossible to be solved. Most studies solve similar CVRPs without prior knowledge. In order to use the knowledge obtained by solving similar hi...
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Chapter and Conference Paper
MK-DCCA Based Fault Diagnosis for Incipient Fault in Nonlinear Dynamic Processes
Incipient fault detection is particularly important in process industrial systems, as its early detection helps to prevent major accidents. Against this background, this study proposes a combined method of Mix...
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Chapter and Conference Paper
PointAF: A Novel Semantic Segmentation Network for Point Cloud
Point cloud semantic segmentation is a crucial problem in computer vision, which aims to assign semantic labels to each point in a point cloud. However, the sparsity and irregularity of point cloud data pose s...
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Chapter and Conference Paper
A Multi-style Interior Floor Plan Design Approach Based on Generative Adversarial Networks
Artificial intelligence is resha** the process of interior floor plan design, making it more intelligent and automatic. Due to the increasing demand for interior design, this paper proposes a dual-module app...
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Book and Conference Proceedings
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Chapter and Conference Paper
Generative Model Watermarking Based on Human Visual System
Intellectual property protection of deep neural networks is receiving attention from more and more researchers, and the latest research applies model watermarking to generative models for image processing. How...
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Book and Conference Proceedings
International Conference on Neural Computing for Advanced Applications
4th International Conference, NCAA 2023, Hefei, China, July 7–9, 2023, Proceedings, Part II
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Article
Frequency offset estimation based on a combination of FFT and CZT for DP-QDB coherent receiver
A new frequency-offset-estimation (FOE) method for dual-polarized quadrature duobinary modulation (DP-QDB), which is based on a combination of fast Fourier transform (FFT) and chirp z transform (CZT), is propo...
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Article
Fitting multiple temporal usage patterns in day-ahead hourly building load forecasting under patch learning framework
This paper proposes a novel day-ahead hourly building load forecasting approach under the framework of patch learning, a recently proposed data-driven model that aggregates a global model and several patch mod...
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Article
Single image deraining with dual U-Net generative adversarial network
Most of the existing deraining methods cannot preserve the details of the image while removing the rain streaks. To solve this problem, we propose a single image de-raining method with dual U-Net generative ad...
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Chapter and Conference Paper
A Data Interaction Mechanism of Multi-market Members in Power Spot Market Based on Blockchain
Blockchain has the characteristics of smart contract, distributed decision-making, collaborative autonomy, tamper proof high security, openness and transparence. It is suitable for the power spot trading marke...
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Chapter and Conference Paper
Wind Power Forecast Based on Multiple Echo States
Wind power is the most promising renewable energy for its rich resources, low cost, and cleanliness. However, the intermittency of wind power would put the safety of the power system at risk. An effective meth...
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Chapter and Conference Paper
A Survey of Optimal Design of Antenna (Array) by Evolutionary Computing Methods
To satisfy the increasing requirements of big data transmission, mutual interference and wide band, the optimal design of antenna and antenna array has drawn great interests and attentions of researchers. This...
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Chapter and Conference Paper
SpacKV: A Pmem-Aware Key-Value Separation Store Based on LSM-Tree
Key-value (KV) stores based on persistent memories such as Intel Optane Pmem can deliver higher throughput and lower latency, compared to traditional SSD/HDD. Many KV stores adopt LSM-tree as the bone index st...
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Book and Conference Proceedings
Neural Computing for Advanced Applications
Third International Conference, NCAA 2022, **an, China, July 8–10, 2022, Proceedings, Part I
