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Emergence mechanisms of group consensus in social networks

Frontiers of Engineering Management doi: 10.1007/s42524-023-0277-x

Abstract: Reaching consensus within larger social network groups has emerged as a pivotal concern in the digitalThis article redefines group consensus as the emergence of collective intelligence resulting from self-organizingactions and interactions of individuals within a social network group.

Keywords： group consensus     social network     collective intelligence    

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Development Roadmap of Polymorphic Intelligence Network Technology Toward 2035

Li Junfei, Hu Yuxiang, Yi Peng, Wu Jiangxing

Strategic Study of CAE 2020, Volume 22, Issue 3,   Pages 141-147 doi: 10.15302/J-SSCAE-2019.11.010

Abstract: current infrastructure and technology system of the Internet are facing major challenges in terms of intelligenceIt is urgent to change the network infrastructure and build a polymorphic definable and intelligent networkBased on these, the development roadmap of polymorphic definable and intelligent network in China for, addressing and routing, full-dimensional definability, network intelligence, and network robust controlintegrated network, ubiquitous interconnection of human and things.

Keywords： intelligence network     polymorphic     network architecture     full-dimension definable     robust control     development    

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Machine learning and neural network supported state of health simulation and forecasting model for lithium-ion

Frontiers in Energy doi: 10.1007/s11708-023-0891-7

Abstract: of disciplines deepens, the field of battery modeling is increasingly employing various artificial intelligenceAI, to lithium-ion battery state of health (SOH), focusing on the advantages and strengths of neural network

Keywords： machine learning     lithium-ion battery     state of health     neural network     artificial intelligence    

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Networking Automation and Intelligence: A New Era of Network Innovation

Hongke Zhang, Wei Quan

Engineering 2022, Volume 17, Issue 10,   Pages 13-16 doi: 10.1016/j.eng.2021.06.019

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porous titanium flow-through electrode and intelligent prediction based on a back propagation neural network

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 8, doi: 10.1007/s11783-023-1697-x

Abstract:

● Titanium-based flow-through electrode achieved high Cr(VI) reduction efficiency.

Keywords： Flow-through electrode     Hexavalent chromium     Heavy metals     Neural network     Artificial intelligence    

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Comparative study of various artificial intelligence approaches applied to direct torque control of induction

Moulay Rachid DOUIRI, Mohamed CHERKAOUI

Frontiers in Energy 2013, Volume 7, Issue 4,   Pages 456-467 doi: 10.1007/s11708-013-0264-8

Abstract: replace conventional hysteresis comparators and selection table, namely fuzzy logic, artificial neural networkThe simulated results obtained demonstrate the feasibility of the adaptive network-based fuzzy inference

Keywords： adaptive neuro-fuzzy inference system (ANFIS)     artificial neural network     direct torque control (DTC)     fuzzy    

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Automated classification of civil structure defects based on convolutional neural network

Pierclaudio SAVINO, Francesco TONDOLO

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2,   Pages 305-317 doi: 10.1007/s11709-021-0725-9

Abstract: paper presents a method for automating concrete damage classification using a deep convolutional neural networkThe convolutional neural network was designed after an experimental investigation of a wide number ofTo increase the network robustness compared to images in real-world situations, different image configurationsmodel, with the highest validation accuracy of approximately 94%, was selected as the most suitable network

Keywords： concrete structure     infrastructures     visual inspection     convolutional neural network     artificial intelligence    

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Innovative Development Strategy of New Network Technologies

Li Dan, Hu Yuxiang, Wu Jiangxing

Strategic Study of CAE 2021, Volume 23, Issue 2,   Pages 15-21 doi: 10.15302/J-SSCAE-2021.02.003

Abstract: for new businesses and the continuous development of the Internet economy have increasingly demanded networkstatus of new network fields in China and abroad, and summarize the development trend of new networkSubsequently, we summarize the gaps and development goals of China in the new network field.Finally we propose the key technologies for the new network development in China, including new network, network intelligence technology, and endogenous security structure.

Keywords： new network architecture，full-dimension definable，polymorphic addressing and routing，network intelligence    

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Performance investigation of artificial intelligence based controller for three phase four leg shunt

J. JAYACHANDRAN,R. MURALI SACHITHANANDAM

Frontiers in Energy 2015, Volume 9, Issue 4,   Pages 446-460 doi: 10.1007/s11708-015-0378-2

Abstract: The control strategy proposed for the DSTATCOM is a neural network based one cycle control (OCC).This control strategy involves neural network block, digital circuits and linear elements, which eliminatesThe performance of the DSTATCOM with the proposed artificial neural network (ANN) controllers is validatedThe simulation results prove the efficacy of the proposed neural network based control strategy under

Keywords： neural network     DSTATCOM     neutral current mitigation     total harmonic distortion (THD)     three phase four wire    

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Wasserstein GAN-Based Small-Sample Augmentation for New-Generation Artificial Intelligence: A Case Study Article

Yufei Liu, Yuan Zhou, Xin Liu, Fang Dong, Chang Wang, Zihong Wang

Engineering 2019, Volume 5, Issue 1,   Pages 156-163 doi: 10.1016/j.eng.2018.11.018

Abstract: deep-learning algorithms based on big data for the implementation of the new generation of artificial intelligenceIn this paper, we propose an approach based on a generative adversarial network (GAN) combined with adeep neural network (DNN).approach will contribute to an expansion of application scenarios for the new generation of artificial intelligenceresearch is also expected to contribute to the comprehensive promotion of new-generation artificial intelligence

Keywords： Artificial intelligence     Generative adversarial network     Deep neural network     Small sample size     Cancer    

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yield of pomegranate oil from supercritical extraction using artificial neural networks and an adaptive-network-based

J. Sargolzaei, A. Hedayati Moghaddam

Frontiers of Chemical Science and Engineering 2013, Volume 7, Issue 3,   Pages 357-365 doi: 10.1007/s11705-013-1336-3

Abstract: Several simulation systems including a back-propagation neural network (BPNN), a radial basis functionneural network (RBFNN) and an adaptive-network-based fuzzy inference system (ANFIS) were tested and

Keywords： oil recovery     artificial intelligence     extraction     neural networks     supercritical extraction    

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An artificial intelligence based method for evaluating power grid node importance using network embedding Research Papers

Hui-fang WANG, Chen-yu ZHANG, Dong-yang LIN, Ben-teng HE

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 6,   Pages 816-828 doi: 10.1631/FITEE.1800146

Abstract: To solve this problem, an artificial intelligence based method is proposed for evaluating power gridFirst, using a network embedding approach, a feature extraction method is designed for power grid nodesThen, for a specific power network, steady-state and node fault transient simulations under various operationIn addition, a particular sample set for each specific power network can be established under this artificialintelligence based framework, meeting the demand of universality.

Keywords： Power grid     Artificial intelligence     Node importance     Text-associated DeepWalk     Network embedding     Support    

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Analog Optical Computing for Artificial Intelligence Review

Jiamin Wu,Xing Lin,Yuchen Guo,Junwei Liu,Lu Fang,Shuming Jiao,Qionghai Dai,

Engineering 2022, Volume 10, Issue 3,   Pages 133-145 doi: 10.1016/j.eng.2021.06.021

Abstract:

The rapid development of artificial intelligence (AI) facilitates various applications from all areas

Keywords： Artificial intelligence     Optical computing     Opto-electronic framework     Neural network     Neuromorphic computing    

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Artificial Intelligence in Healthcare: Review and Prediction Case Studies Review

Guoguang Rong, Arnaldo Mendez, Elie Bou Assi, Bo Zhao, Mohamad Sawan

Engineering 2020, Volume 6, Issue 3,   Pages 291-301 doi: 10.1016/j.eng.2019.08.015

Abstract:

Artificial intelligence (AI) has been developing rapidly in recent years in terms of software algorithms

Keywords： Artificial intelligence     Machine learning     Deep learning Neural network     Biomedical research     Healthcare    

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INTERACTIVE KNOWLEDGE LEARNING BY ARTIFICIAL INTELLIGENCE FOR SMALLHOLDERS

Frontiers of Agricultural Science and Engineering 2023, Volume 10, Issue 4,   Pages 648-653 doi: 10.15302/J-FASE-2023505

Abstract: Therefore, this article proposes an interactive knowledge learning approach using artificial intelligence

Keywords： artificial intelligence     extension system     non-point source pollution control     smallholders     fertilization    

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Title Author Date Type Operation

Emergence mechanisms of group consensus in social networks

Journal Article

Development Roadmap of Polymorphic Intelligence Network Technology Toward 2035

Li Junfei, Hu Yuxiang, Yi Peng, Wu Jiangxing

Journal Article

Machine learning and neural network supported state of health simulation and forecasting model for lithium-ion

Journal Article

Networking Automation and Intelligence: A New Era of Network Innovation

Hongke Zhang, Wei Quan

Journal Article

porous titanium flow-through electrode and intelligent prediction based on a back propagation neural network

Journal Article

Comparative study of various artificial intelligence approaches applied to direct torque control of induction

Moulay Rachid DOUIRI, Mohamed CHERKAOUI

Journal Article

Automated classification of civil structure defects based on convolutional neural network

Pierclaudio SAVINO, Francesco TONDOLO

Journal Article

Innovative Development Strategy of New Network Technologies

Li Dan, Hu Yuxiang, Wu Jiangxing

Journal Article

Performance investigation of artificial intelligence based controller for three phase four leg shunt

J. JAYACHANDRAN,R. MURALI SACHITHANANDAM

Journal Article

Wasserstein GAN-Based Small-Sample Augmentation for New-Generation Artificial Intelligence: A Case Study

Yufei Liu, Yuan Zhou, Xin Liu, Fang Dong, Chang Wang, Zihong Wang

Journal Article

yield of pomegranate oil from supercritical extraction using artificial neural networks and an adaptive-network-based

J. Sargolzaei, A. Hedayati Moghaddam

Journal Article

An artificial intelligence based method for evaluating power grid node importance using network embedding

Hui-fang WANG, Chen-yu ZHANG, Dong-yang LIN, Ben-teng HE

Journal Article

Analog Optical Computing for Artificial Intelligence

Jiamin Wu,Xing Lin,Yuchen Guo,Junwei Liu,Lu Fang,Shuming Jiao,Qionghai Dai,

Journal Article

Artificial Intelligence in Healthcare: Review and Prediction Case Studies

Guoguang Rong, Arnaldo Mendez, Elie Bou Assi, Bo Zhao, Mohamad Sawan

Journal Article

INTERACTIVE KNOWLEDGE LEARNING BY ARTIFICIAL INTELLIGENCE FOR SMALLHOLDERS

Journal Article