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Multi-scale UDCT dictionary learning based highly undersampled MR image reconstruction using patch-based

Min YUAN,Bing-xin YANG,Yi-de MA,Jiu-wen ZHANG,Fu-xiang LU,Tong-feng ZHANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 12,   Pages 1069-1087 doi: 10.1631/FITEE.1400423

Abstract: Recently, dictionary learning (DL) based methods have been introduced to compressed sensing magnetic, multi-directional perspective, which influences the reconstruction performance.In this paper, incorporating the superior multi-scale properties of uniform discrete curvelet transformEach sub-dictionary of different sub-bands is trained independently to form the multi-scale dictionariesMulti-scale UDCT dictionaries potentially outperform both single-scale trained dictionaries and multi-scale

Keywords： Compressed sensing (CS)     Magnetic resonance imaging (MRI)     Uniform discrete curvelet transform (UDCT)     Multi-scaledictionary learning (MSDL)     Patch-based constraint splitting augmented Lagrangian shrinkage algorithm    

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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 algorithm

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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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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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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Multi-model ensemble deep learning method for intelligent fault diagnosis with high-dimensional samples

Xin ZHANG, Tao HUANG, Bo WU, Youmin HU, Shuai HUANG, Quan ZHOU, Xi ZHANG

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 2,   Pages 340-352 doi: 10.1007/s11465-021-0629-3

Abstract: Deep learning has achieved much success in mechanical intelligent fault diagnosis in recent years.However, many deep learning methods cannot fully extract fault information to recognize mechanical healthTherefore, a multi-model ensemble deep learning method based on deep convolutional neural network (DCNNseveral 1D DCNN models with different activation functions are trained through dimension reduction learningLastly, a 2D DCNN model with multi-layer convolution and pooling is used to automatically learn features

Keywords： fault intelligent diagnosis     deep learning     deep convolutional neural network     high-dimensional samples    

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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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Behavioral control task supervisor with memory based on reinforcement learning for human–multi-robot Research Article

Jie HUANG, Zhibin MO, Zhenyi ZHANG, Yutao CHEN,yutao.chen@fzu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 8,   Pages 1174-1188 doi: 10.1631/FITEE.2100280

Abstract: and large task tracking errors caused by repeated human intervention, which restricts the autonomy of multi-robot

Keywords： Human–     multi-robot coordination systems     Null-space-based behavioral control     Task supervisor     Reinforcementlearning     Knowledge base    

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Multi-UAV obstacle avoidance control via multi-objective social learning pigeon-inspired optimization Research

Wan-ying Ruan, Hai-bin Duan,wyruan@buaa.edu.cn,hbduan@buaa.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 5,   Pages 649-808 doi: 10.1631/FITEE.2000066

Abstract: We propose multi-objective social learning (MSLPIO) and apply it to for formation.A social learning factor is added to the map and compass operator and the landmark operator.MSLPIO has better convergence performance compared with the improved multi-objective and the improved

Keywords： 无人机；避障；鸽群优化；多目标社会学习鸽群优化    

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Interactive medical image segmentation with self-adaptive confidence calibration

沈楚云,李文浩,徐琪森,胡斌,金博,蔡海滨,朱凤平,李郁欣,王祥丰

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 9,   Pages 1332-1348 doi: 10.1631/FITEE.2200299

Abstract: Interactive medical image segmentation based on human-in-the-loop machine learning is a novel paradigmsegmentation with self-adaptive Confidence CAlibration (MECCA), which combines action-based confidence learningand multi-agent reinforcement learning.

Keywords： Medical image segmentation     Interactive segmentation     Multi-agent reinforcement learning     Confidence learning     Semi-supervised learning    

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Title Author Date Type Operation

Multi-scale UDCT dictionary learning based highly undersampled MR image reconstruction using patch-based

Min YUAN,Bing-xin YANG,Yi-de MA,Jiu-wen ZHANG,Fu-xiang LU,Tong-feng ZHANG

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

Max-margin basedBayesian classifier

Tao-cheng HU,Jin-hui YU

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

Multi-model ensemble deep learning method for intelligent fault diagnosis with high-dimensional samples

Xin ZHANG, Tao HUANG, Bo WU, Youmin HU, Shuai HUANG, Quan ZHOU, Xi ZHANG

Journal Article

Side-channel attacks and learning-vector quantization

Ehsan SAEEDI, Yinan KONG, Md. Selim HOSSAIN

Journal Article

Behavioral control task supervisor with memory based on reinforcement learning for human–multi-robot

Jie HUANG, Zhibin MO, Zhenyi ZHANG, Yutao CHEN,yutao.chen@fzu.edu.cn

Journal Article

Multi-UAV obstacle avoidance control via multi-objective social learning pigeon-inspired optimization

Wan-ying Ruan, Hai-bin Duan,wyruan@buaa.edu.cn,hbduan@buaa.edu.cn

Journal Article

Interactive medical image segmentation with self-adaptive confidence calibration

沈楚云,李文浩,徐琪森,胡斌,金博,蔡海滨,朱凤平,李郁欣,王祥丰

Journal Article