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Multi-class dynamic network traffic flow propagation model with physical queues

Yanfeng LI, Jun LI

Frontiers of Engineering Management 2017, Volume 4, Issue 4,   Pages 399-407 doi: 10.15302/J-FEM-2017041

Abstract: This paper proposes an improved multi-class dynamic network traffic flow propagation model with a considerationThe vehicles of the same class are assumed to satisfy the first-in-first-out (FIFO) principle on theanalysis can more realistically capture the traffic flow propagation, such as interactions between multi-class

Keywords： first-in-first-out (FIFO)     multi-class traffic     physical queues     traffic flow modeling    

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Max-margin basedBayesian classifier Article

Tao-cheng HU,Jin-hui YU

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 10,   Pages 973-981 doi: 10.1631/FITEE.1601078

Abstract: There is a tradeoff between generalization capability and computational overhead in multi-class learningWe propose a generative probabilistic multi-class classifier, considering both the generalization capabilityand the learning/prediction rate.By convex and probabilistic analysis, an efficient online learning algorithm is developed.

Keywords： Multi-class learning     Max-margin learning     Online algorithm    

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Identification of thermal error in a feed system based on multi-class LS-SVM

Chao JIN, Bo WU, Youmin HU, Yao CHENG

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 1,   Pages 47-54 doi: 10.1007/s11465-012-0307-6

Abstract: Using multi-class least squares support vector machines (LS-SVM), the thermal positioning error of the

Keywords： least squares support vector machine (LS-SVM)     feed system     thermal error     precision machining    

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Side-channel attacks and learning-vector quantization Article

Ehsan SAEEDI, Yinan KONG, Md. Selim HOSSAIN

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 4,   Pages 511-518 doi: 10.1631/FITEE.1500460

Abstract: Several approaches have been proposed to analyze side-channel information, among which machine learningMachine learning in terms of neural networks learns the signature (power consumption and electromagneticcryptography (ECC), to explore the efficiency of side-channel information characterization based on a learningThe main characteristics of LVQ as a multi-class classifier are that it has the ability to learn complexExperimental results show the performance of multi-class classification based on LVQ as a powerful and

Keywords： Side-channel attacks     Elliptic curve cryptography     Multi-class classification     Learning vector quantization    

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Development of machine learning multi-city model for municipal solid waste generation prediction

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 9, doi: 10.1007/s11783-022-1551-6

Abstract:

● A database of municipal solid waste (MSW) generation in China was established.

Keywords： Municipal solid waste     Machine learning     Multi-cities     Gradient boost regression tree    

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Unknown fault detection for EGT multi-temperature signals based on self-supervised feature learning and

Frontiers in Energy 2023, Volume 17, Issue 4,   Pages 527-544 doi: 10.1007/s11708-023-0880-x

Abstract: Data-based methods of supervised learning have gained popularity because of available Big Data and computingHowever, the common paradigm of the loss function in supervised learning requires large amounts of labeledTherefore, a fault detection method based on self-supervised feature learning was proposed to addressFirst, self-supervised learning was employed to extract features under various working conditions onlyThe self-supervised representation learning uses a sequence-based Triplet Loss.

Keywords： fault detection     unary classification     self-supervised representation learning     multivariate nonlinear    

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View-invariant human action recognition via robust locally adaptive multi-view learning

Jia-geng FENG,Jun XIAO

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 11,   Pages 917-920 doi: 10.1631/FITEE.1500080

Abstract: In this paper, we present a multi-view learning approach to recognize human actions from different viewsAs most existing multi-view learning algorithms often suffer from the problem of lacking data adaptivenessin the nearest neighborhood graph construction procedure, a robust locally adaptive multi-view learningalgorithm based on learning multiple local L1-graphs is proposed.

Keywords： View-invariant     Action recognition     Multi-view learning     L1-norm     Local learning    

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Multi-color space threshold segmentation and self-learning k-NN algorithm for surge test EUT status

Jian HUANG,Gui-xiong LIU

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 3,   Pages 311-315 doi: 10.1007/s11465-016-0376-z

Abstract: A multi-color space threshold segmentation and self-learning k-nearest neighbor algorithmSecond, the unknown class sample Sr was classified by the 

Keywords： multi-color space     k-nearest neighbor algorithm (k-NN)     self-learning     surge test    

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Deep convolutional neural network for multi-level non-invasive tunnel lining assessment

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 2,   Pages 214-223 doi: 10.1007/s11709-021-0800-2

Abstract: The paper proposes a multi-level strategy, designed and implemented on the basis of periodic structuralIn a supervised learning framework, Ground Penetrating Radar (GPR) profiles and the revealed structural

Keywords： concrete structure     GPR     damage classification     convolutional neural network     transfer learning    

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A survey of instantaneous poles for a class of two-degree-of-freedom spherical mechanisms

Soheil ZARKANDI

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 4,   Pages 344-353 doi: 10.1007/s11465-014-0320-z

Abstract:

This paper is a detailed exploration of instantaneous poles for a class of two-degree-of-freedom (

Keywords： spherical mechanisms     instantaneous poles     Aronhold-Kennedy theorem     great circles     pencil of meridian    

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Unified cycle model of a class of internal combustion engines and their optimum performance characteristics

Shiyan ZHENG

Frontiers in Energy 2011, Volume 5, Issue 4,   Pages 367-375 doi: 10.1007/s11708-011-0170-x

Abstract: The unified cycle model of a class of internal combustion engines is presented, in which the influenceof the multi-irreversibilities mainly resulting from the adiabatic processes, finite-time processes

Keywords： internal combustion engine     irreversibility     power output     efficiency     optimization    

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A hybrid Wavelet-CNN-LSTM deep learning model for short-term urban water demand forecasting

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 2, doi: 10.1007/s11783-023-1622-3

Abstract:

● A novel deep learning framework for short-term water demand forecasting

Keywords： water demand forecasting     Long-short term memory neural network     Convolutional Neural Network     Wavelet multi-resolution    

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Sliding window games for cooperative building temperature control using a distributed learning method

Zhaohui ZHANG, Ruilong DENG, Tao YUAN, S. Joe QIN

Frontiers of Engineering Management 2017, Volume 4, Issue 3,   Pages 304-314 doi: 10.15302/J-FEM-2017045

Abstract: During the games, a distributed learning algorithm based on game theory is proposed such that each building

Keywords： game theory     demand response     HVAC control     multi-building system    

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Coach-assisted multi-agent reinforcement learning framework for unexpected crashed agents Research Article

Jian ZHAO, Youpeng ZHAO, Weixun WANG, Mingyu YANG, Xunhan HU, Wengang ZHOU, Jianye HAO, Houqiang LI

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 7,   Pages 1032-1042 doi: 10.1631/FITEE.2100594

Abstract: Multi-agent is difficult to apply in practice, partially because of the gap between simulated and real-worldIn this work, we present a formal conceptualization of a cooperative multi-agent system with unexpectedTo enhance the robustness of the system to crashes, we propose a coach-assisted multi-agent frameworkWe have designed three coaching strategies (fixed crash rate, curriculum learning, and adaptive crashdemonstrate the efficacy of the adaptive strategy compared with the fixed crash rate strategy and curriculum learning

Keywords： Multi-agent system     Reinforcement learning     Unexpected crashed agents    

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Highlights in agri-product quality and safety

Guanghong ZHOU

Frontiers of Agricultural Science and Engineering 2018, Volume 5, Issue 3,   Pages 289-290 doi: 10.15302/J-FASE-2018236

Abstract: class="J_zhaiyao">

Keywords： valign=     top     class=     J_zhaiyao    

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Title Author Date Type Operation

Multi-class dynamic network traffic flow propagation model with physical queues

Yanfeng LI, Jun LI

Journal Article

Max-margin basedBayesian classifier

Tao-cheng HU,Jin-hui YU

Journal Article

Identification of thermal error in a feed system based on multi-class LS-SVM

Chao JIN, Bo WU, Youmin HU, Yao CHENG

Journal Article

Side-channel attacks and learning-vector quantization

Ehsan SAEEDI, Yinan KONG, Md. Selim HOSSAIN

Journal Article

Development of machine learning multi-city model for municipal solid waste generation prediction

Journal Article

Unknown fault detection for EGT multi-temperature signals based on self-supervised feature learning and

Journal Article

View-invariant human action recognition via robust locally adaptive multi-view learning

Jia-geng FENG,Jun XIAO

Journal Article

Multi-color space threshold segmentation and self-learning k-NN algorithm for surge test EUT status

Jian HUANG,Gui-xiong LIU

Journal Article

Deep convolutional neural network for multi-level non-invasive tunnel lining assessment

Journal Article

A survey of instantaneous poles for a class of two-degree-of-freedom spherical mechanisms

Soheil ZARKANDI

Journal Article

Unified cycle model of a class of internal combustion engines and their optimum performance characteristics

Shiyan ZHENG

Journal Article

A hybrid Wavelet-CNN-LSTM deep learning model for short-term urban water demand forecasting

Journal Article

Sliding window games for cooperative building temperature control using a distributed learning method

Zhaohui ZHANG, Ruilong DENG, Tao YUAN, S. Joe QIN

Journal Article

Coach-assisted multi-agent reinforcement learning framework for unexpected crashed agents

Jian ZHAO, Youpeng ZHAO, Weixun WANG, Mingyu YANG, Xunhan HU, Wengang ZHOU, Jianye HAO, Houqiang LI

Journal Article

Highlights in agri-product quality and safety

Guanghong ZHOU

Journal Article