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Dual collaboration for decentralized multi-source domain adaptation Research Article

Yikang WEI, Yahong HAN

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 12,   Pages 1780-1794 doi: 10.1631/FITEE.2200284

Abstract: The challenge of is that the source domains and target domain lack cross-domain collaboration duringof source models, while the domain gap will lead to limited adaptation performance from source modelsOn the labeled source domain, the source model tends to overfit its domain data in the scenario, whichOn the source domain, we regularize the local source models in collaboration with the local target modelthe domain adaptation performance under the scenario.

Keywords： Multi-source domain adaptation     Data decentralization     Domain shift     Negative transfer    

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Dynamic parameterized learning for unsupervised domain adaptation Research Article

Runhua JIANG, Yahong HAN

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 11,   Pages 1616-1632 doi: 10.1631/FITEE.2200631

Abstract: enables neural networks to transfer from a labeled source domain to an unlabeled target domain by learningdomain-invariant representations.First, by exploring domain-level semantic knowledge, the dynamic alignment parameter is proposed, toBesides, for obtaining semantic-discriminative and domain-invariant representations, we propose to aligntraining trajectories on both source and target domains.

Keywords： Unsupervised domain adaptation     Optimization steps     Domain alignment     Semantic discrimination    

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Retraction Note to: Dynamic stability enhancement of interconnected multi-source power systems usinghierarchical ANFIS controller-TCSC based on multi-objective PSOs Retraction Note

Ali Darvish FALEHI, Ali MOSALLANEJAD

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 5, doi: 10.1631/FITEE.19r0001

Abstract: None

Keywords： None    

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RETRACTED ARTICLE: Dynamic stability enhancement of interconnected multi-source power systems using hierarchicalANFIS controller-TCSC based on multi-objective PSO Article

Ali Darvish FALEHI,Ali MOSALLANEJAD

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 3,   Pages 394-409 doi: 10.1631/FITEE.1500317

Abstract: which is one series type of the FACTS family, is used to augment the overall dynamic performance of a multi-areamulti-source interconnected power system.For this purpose, a multi-objective optimization technique is inevitable.Multi-objective particle swarm optimization (MOPSO) has been chosen for this optimization problem, owinghas been precisely evaluated and compared with that of the conventional MOPSO-TCSC in two different multi-area

Keywords： controller (HANFISC)     Thyristor-controlled series compensator (TCSC)     Automatic generation control (AGC)     Multi-objectiveparticle swarm optimization (MOPSO)     Power system dynamic stability     Interconnected multi-source power    

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A knowledge reasoning Fuzzy-Bayesian network for root cause analysis of abnormal aluminum electrolysis cell condition

Weichao Yue, Xiaofang Chen, Weihua Gui, Yongfang Xie, Hongliang Zhang

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 3,   Pages 414-428 doi: 10.1007/s11705-017-1663-x

Abstract: condition has long been a challenging industrial issue due to its inherent complexity in analyzing based on multi-sourceRCA of abnormal condition is a complex work of multi-source knowledge fusion, which is difficult to ensureIn view of this, a method based on Fuzzy-Bayesian network to construct multi-source knowledge solidification

Keywords： abnormal aluminum electrolysis cell condition     Fuzzy-Bayesian network     multi-source knowledge solidification    

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A platform of digital brain using crowd power Article

Dongrong XU, Fei DAI, Yue LU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 1,   Pages 78-90 doi: 10.1631/FITEE.1700800

Abstract: brain research, based on the computational artificial intelligence model of synthesis reasoning and multi-source

Keywords： Artificial intelligence     Digital brain     Synthesis reasoning     Multi-source analogical generating     Crowd wisdom    

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Layer-wise domain correction for unsupervised domain adaptation Article

Shuang LI, Shi-ji SONG, Cheng WU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 1,   Pages 91-103 doi: 10.1631/FITEE.1700774

Abstract: To address the domain shift or data bias problems, we introduce layer-wise domain correction (LDC), anew unsupervised domain adaptation algorithm which adapts an existing deep network through additiveThrough the additive layers, the representations of source and target domains can be perfectly alignedLDC requires no target labels, achieves state-of-the-art performance across several adaptation benchmarks, and requires significantly less training time than existing adaptation methods.

Keywords： Unsupervised domain adaptation     Maximum mean discrepancy     Residual network     Deep learning    

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3D interpolation-approximation fitting construction method for complex geological surfaces

Li Mingchao,Miao Zhengjian,Liu Fei,Wang Gang

Strategic Study of CAE 2011, Volume 13, Issue 12,   Pages 103-107

Abstract:

Based on multi-source data, a fitting geological surface is required

Keywords： geological surface     interpolation-approximation fitting     3D construction     multi-source geological data    

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Evaluation of the impact of multi-source uncertainties on meteorological and hydrological ensemble forecasting Article

Zhangkang Shu, Jianyun Zhang, Lin Wang, Junliang Jin, Ningbo Cui, Guoqing Wang, Zhouliang Sun, Yanli Liu, Zhenxin Bao, Cuishan Liu

Engineering 2023, Volume 24, Issue 5,   Pages 213-229 doi: 10.1016/j.eng.2022.06.007

Abstract:

Evaluating the impact of multi-source uncertainties in complex forecasting systems is essential tounderstanding and improving the systems Previous studies have paid little attention to the influence of multi-sourcedeveloped a general ensemble framework based on Bayesian model averaging (BMA) for evaluating the impact of multi-sourceThe developed multi-source uncertainty assessment framework improves our understanding of the complex

Keywords： and hydrological forecasting     Uncertainty estimation     Bayesian model averaging     Ensemble prediction     Multi-model    

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Automatically building large-scale named entity recognition corpora from Chinese Wikipedia

Jie ZHOU,Bi-cheng LI,Gang CHEN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 11,   Pages 940-956 doi: 10.1631/FITEE.1500067

Abstract: Named entity recognition (NER) is a core component in many natural language processing applications. Most NER systems rely on supervised machine learning methods, which depend on time-consuming and expensive annotations in different languages and domains. This paper presents a method for automatically building silver-standard NER corpora from Chinese Wikipedia. We refine novel and language-dependent features by exploiting the text and structure of Chinese Wikipedia. To reduce tagging errors caused by entity classification, we design four types of heuristic rules based on the characteristics of Chinese Wikipedia and train a supervised NE classifier, and a combined method is used to improve the precision and coverage. Then, we realize type identification of implicit mention by using boundary information of outgoing links. By selecting the sentences related with the domains of test data, we can train better NER models. In the experiments, large-scale NER corpora containing 2.3 million sentences are built from Chinese Wikipedia. The results show the effectiveness of automatically annotated corpora, and the trained NER models achieve the best performance when combining our silver-standard corpora with gold-standard corpora.

Keywords： NER corpora     Chinese Wikipedia     Entity classification     Domain adaptation     Corpus selection    

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Frequency domain a9ctive vibration control of a flexible plate based on neural networks

Jinxin LIU, Xuefeng CHEN, Zhengjia HE

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 2,   Pages 109-117 doi: 10.1007/s11465-013-0252-z

Abstract: Multi-frequency control in frequency domain was achieved by simulation through the NN-based control systems

Keywords： active vibration control (AVC)     neural network (NN)     low frequency noise     frequency domain control     multi-frequency    

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Social media and mobility landscape: Uncovering spatial patterns of urban human mobility with multi source

Yilan Cui, Xing Xie, Yi Liu

Frontiers of Environmental Science & Engineering 2018, Volume 12, Issue 5, doi: 10.1007/s11783-018-1068-1

Abstract:

Check-in and survey data are explored to identify personal activity-specific places.

Ways for detecting and moderating sample bias of Weibo check-in data is proposed.

A graphic representation of urban activity intensity in Beijing, China is presented.

The potential application of Weibo check-in data for urban analysis is introduced.

Keywords： Social media     Human mobility     Population bias     Sample reconstruction     Data integration    

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fraction induced by interaction burning of tri-symmetric propane fires in open space based on weighted multi-pointsource model

Jie JI, Junrui DUAN, Huaxian WAN

Frontiers in Energy 2022, Volume 16, Issue 6,   Pages 1017-1026 doi: 10.1007/s11708-020-0716-x

Abstract: Moreover, the multi-point source model was further improved, and radiation fraction of propane was calculated

Keywords： flame interaction     air entrainment     flame height     multi-point source model     thermal radiation    

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Optimum lateral extent of soil domain for dynamic SSI analysis of RC framed buildings on pile foundations

Nishant SHARMA, Kaustubh DASGUPTA, Arindam DEY

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 1,   Pages 62-81 doi: 10.1007/s11709-019-0570-2

Abstract: This article describes a novel approach for deciding optimal horizontal extent of soil domain to be usedLateral extent of soil domain, along with the soil properties, were varied exhaustively for a particularsystem (quantified by normalized root mean square error, ), the optimum lateral extent of the soil domainThese relationships can be readily applied for deciding upon the lateral extent of the soil domain for

Keywords： soil structure interaction     optimum lateral extent of soil domain length     multi-storyed framed building    

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Dymola-based multi-parameters integrated optimization for high speed transfer system of LED chip sorter

Jie OUYANG, Bin LI, Shihua GONG

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 2,   Pages 118-126 doi: 10.1007/s11465-013-0253-y

Abstract: ., a multi-domain model of transfer system performed on Dymola platform.

Keywords： LED chip sorter     multi-domain modeling and simulation     parameter optimization     modelica language    

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Title Author Date Type Operation

Dual collaboration for decentralized multi-source domain adaptation

Yikang WEI, Yahong HAN

Journal Article

Dynamic parameterized learning for unsupervised domain adaptation

Runhua JIANG, Yahong HAN

Journal Article

Retraction Note to: Dynamic stability enhancement of interconnected multi-source power systems usinghierarchical ANFIS controller-TCSC based on multi-objective PSOs

Ali Darvish FALEHI, Ali MOSALLANEJAD

Journal Article

RETRACTED ARTICLE: Dynamic stability enhancement of interconnected multi-source power systems using hierarchicalANFIS controller-TCSC based on multi-objective PSO

Ali Darvish FALEHI,Ali MOSALLANEJAD

Journal Article

A knowledge reasoning Fuzzy-Bayesian network for root cause analysis of abnormal aluminum electrolysis cell condition

Weichao Yue, Xiaofang Chen, Weihua Gui, Yongfang Xie, Hongliang Zhang

Journal Article

A platform of digital brain using crowd power

Dongrong XU, Fei DAI, Yue LU

Journal Article

Layer-wise domain correction for unsupervised domain adaptation

Shuang LI, Shi-ji SONG, Cheng WU

Journal Article

3D interpolation-approximation fitting construction method for complex geological surfaces

Li Mingchao,Miao Zhengjian,Liu Fei,Wang Gang

Journal Article

Evaluation of the impact of multi-source uncertainties on meteorological and hydrological ensemble forecasting

Zhangkang Shu, Jianyun Zhang, Lin Wang, Junliang Jin, Ningbo Cui, Guoqing Wang, Zhouliang Sun, Yanli Liu, Zhenxin Bao, Cuishan Liu

Journal Article

Automatically building large-scale named entity recognition corpora from Chinese Wikipedia

Jie ZHOU,Bi-cheng LI,Gang CHEN

Journal Article

Frequency domain a9ctive vibration control of a flexible plate based on neural networks

Jinxin LIU, Xuefeng CHEN, Zhengjia HE

Journal Article

Social media and mobility landscape: Uncovering spatial patterns of urban human mobility with multi source

Yilan Cui, Xing Xie, Yi Liu

Journal Article

fraction induced by interaction burning of tri-symmetric propane fires in open space based on weighted multi-pointsource model

Jie JI, Junrui DUAN, Huaxian WAN

Journal Article

Optimum lateral extent of soil domain for dynamic SSI analysis of RC framed buildings on pile foundations

Nishant SHARMA, Kaustubh DASGUPTA, Arindam DEY

Journal Article

Dymola-based multi-parameters integrated optimization for high speed transfer system of LED chip sorter

Jie OUYANG, Bin LI, Shihua GONG

Journal Article