RETRACTION: The Impact of the Live Delivery of Goods on Consumers' Purchasing Behaviour in Complex Situations Based on Artificial Intelligence Technology [0.03%]
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Computational Intelligence And Neuroscience
Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2022/1424099.]. Copyright © 2024 Computational Intelligence and Neuroscience.
Retraction of Publication
Computational intelligence and neuroscience. 2024 Sep 18:2024:9764184. DOI:10.1155/2024/9764184 2024
RETRACTION: Contribution and Mechanism of Different Levels of Educational Human Capital to the Identification of Regional Green Economic Growth [0.03%]
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Computational Intelligence And Neuroscience
Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2021/4105716.]. Copyright © 2024 Computational Intelligence and Neuroscience.
Retraction of Publication
Computational intelligence and neuroscience. 2024 Sep 18:2024:9759818. DOI:10.1155/2024/9759818 2024
RETRACTION: Garment Design Models Combining Bayesian Classifier and Decision Tree Algorithm [0.03%]
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Computational Intelligence And Neuroscience
Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2022/1904158.]. Copyright © 2024 Computational Intelligence and Neuroscience.
Retraction of Publication
Computational intelligence and neuroscience. 2024 Sep 18:2024:9781852. DOI:10.1155/2024/9781852 2024
RETRACTION: Learning of Short Video Text Description of Nursing Teaching Based on Transformer [0.03%]
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Computational Intelligence And Neuroscience
Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2022/6989374.]. Copyright © 2024 Computational Intelligence and Neuroscience.
Retraction of Publication
Computational intelligence and neuroscience. 2024 Sep 18:2024:9850386. DOI:10.1155/2024/9850386 2024
RETRACTION: Deep Learning Dual Neural Networks in the Construction of Learning Models for Online Courses in Piano Education [0.03%]
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Computational Intelligence And Neuroscience
Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2022/4408288.]. Copyright © 2024 Computational Intelligence and Neuroscience.
Retraction of Publication
Computational intelligence and neuroscience. 2024 Sep 18:2024:9761240. DOI:10.1155/2024/9761240 2024
Zhongxiu Xia,Weiyu Zhang,Ziqiang Weng
Zhongxiu Xia
In recent years, due to the rise of online social platforms, social networks have more and more influence on our daily life, and social recommendation system has become one of the important research directions of recommendation system resea...
Distributed Scheduling Strategy of Virtual Power Plant Using the Particle Swarm Optimization Neural Network under Blockchain Background [0.03%]
基于区块链的虚拟电厂粒子群优化神经网络调度策略研究
Changchang Lu,Sijie Chen
Changchang Lu
Large-scale and widely dispersed distributed energy resource (DER) can be gathered by a virtual power plant (VPP) in a given area, and its parameters can be combined into a single external operation profile. Each distributed energy source i...
A Multimodal Network Security Framework for Healthcare Based on Deep Learning [0.03%]
基于深度学习的医疗多模式网络安全框架
Qiang Qiang Chen,Jian Ping Li,Amin Ul Haq et al.
Qiang Qiang Chen et al.
As the network is closely related to people's daily life, network security has become an important factor affecting the physical and mental health of human beings. Network flow classification is the foundation of network security. It is the...
The Utilization Ratio and Interoperability of Corporate-Level XBRL Classification Standard Elements in China [0.03%]
我国企业级XBRL分类标准元素的利用率及互操作性分析——基于2013—2017年年度报告的经验证据
Xin Song,Zijie Ding,Chao Liu et al.
Xin Song et al.
Given the rapid development of the digital industry, the international use of XBRL as a computer language for the exchange of corporate financial data is of great significance in promoting the standardization of financial data. This paper p...
A Lightweight Hybrid Dilated Ghost Model-Based Approach for the Prognosis of Breast Cancer [0.03%]
一种基于轻量级混合膨胀鬼模型的乳腺癌预后方法
Edwin Ramirez-Asis,Romel Percy Melgarejo Bolivar,Leonid Alemán Gonzales et al.
Edwin Ramirez-Asis et al.
Most approaches use interactive priors to find tumours and then segment them based on tumour-centric candidates. A fully convolutional network is demonstrated for end-to-end breast tumour segmentation. When confronted with such a variety of...