Resource Type

Journal Article 173

Conference Videos 5

Conference Information 1

Year

2023 11

2022 15

2021 16

2020 14

2019 8

2018 13

2017 15

2016 9

2015 11

2014 6

2013 8

2012 8

2011 1

2010 5

2009 3

2008 4

2007 11

2006 3

2005 3

2004 6

open ︾

Keywords

Clustering 4

CFD 2

Computational methods 2

DX pile 2

Machine learning 2

applications 2

different 2

methods 2

solid oxide fuel cell 2

-means clustering 1

1 1

16S rRNA 1

2R-1C model 1

3D finite element model 1

3D printing 1

4-Dioxane 1

5G smartphone 1

K-means clustering 1

S. typhi 1

open ︾

Search scope:

排序: Display mode:

Embedding expert demonstrations into clustering buffer for effective deep reinforcement learning Research Article

Shihmin WANG, Binqi ZHAO, Zhengfeng ZHANG, Junping ZHANG, Jian PU

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 11,   Pages 1541-1556 doi: 10.1631/FITEE.2300084

Abstract: Unlike most existing exploration methods that sample an action from different types of posterior distributionsThen we introduce a clustering buffer for modeling the internal hierarchy, which consists of on-policy

Keywords: Reinforcement learning     Sample efficiency     Sampling process     Clustering methods     Autonomous driving    

An anchor-based spectral clustering method None

Qin ZHANG, Guo-qiang ZHONG, Jun-yu DONG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 11,   Pages 1385-1396 doi: 10.1631/FITEE.1700262

Abstract:

Spectral clustering is one of the most popular and important clustering methods in pattern recognitionFor a clustering problem with n samples, it needs to compute the eigenvectors of the graph Laplacianmethods, i.e., power iteration clustering and landmark-based spectral clustering, on 10 real-world applicationsExperimental results show that ASC is consistently faster than the classical spectral clustering withmethods on both effectiveness and efficiency.

Keywords: Clustering     Spectral clustering     Graph Laplacian     Anchors    

A systematic approach to ON-OFF event detection and clustering analysis of non-intrusive appliance load

Chuan Choong YANG,Chit Siang SOH,Vooi Voon YAP

Frontiers in Energy 2015, Volume 9, Issue 2,   Pages 231-237 doi: 10.1007/s11708-015-0358-6

Abstract: consumption of individual electrical appliances from total power consumption utilizing non-intrusive methodsIn this paper, a systematic approach to ON-OFF event detection and clustering analysis for NIALM wereThe results from the ON-OFF pairing algorithm were further clustered in groups utilizing the -means clusteringThe -means clustering were implemented as an unsupervised learning methodology for the clustering analysiselectrical appliance is turned ON through combination of event detection, ON-OFF pairing and -means clustering

Keywords: non-intrusive appliance load monitoring     event detection     goodness-of-fit (GOF)     K-means clustering    

A sampling method based on URL clustering for fast web accessibility evaluation

Meng-ni ZHANG,Can WANG,Jia-jun BU,Zhi YU,Yu ZHOU,Chun CHEN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 6,   Pages 449-456 doi: 10.1631/FITEE.1400377

Abstract: When evaluating the accessibility of a large website, we rely on sampling methods to reduce the costTo improve sampling quality, stratified sampling methods first cluster web pages in a site and then drawIn existing stratified sampling methods, however, all the pages in a website need to be analyzed forclustering, causing huge I/O and computation costs.To address this issue, we propose a novel page sampling method based on URL clustering for web accessibility

Keywords: Page sampling     URL clustering     Web accessibility evaluation    

Application of a Novel Fuzzy Clustering Method Based on Chaos Immune Evolutionary Algorithm for Edge

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 1,   Pages 85-89 doi: 10.1007/s11465-005-0023-6

Abstract:

A novel fuzzy clustering method based on chaos immune evolutionary algorithm (CIEFCM) is presenteddetect the fuzzy edge and exiguous edge but can evidently improve the searching efficiency of fuzzy clustering

Keywords: disturbance amplitude     disturbance     diversity     generation     processing    

The research of grey clustering decision of assembly sequence based on petri net

Mo Qian,Luo Yi

Strategic Study of CAE 2008, Volume 10, Issue 11,   Pages 65-68

Abstract: certainly qualitative, fuzzy, non-numerical, assembly sequence is regarded as a gray system, and grey clusteringThis paper analyzes the gray classification of the influence factor and studies grey clustering decision

Keywords: assembly sequence     petri net     grey clustering decision method    

A review of optimization modeling and solution methods in renewable energy systems

Frontiers of Engineering Management   Pages 640-671 doi: 10.1007/s42524-023-0271-3

Abstract: Science database, this study reviews the decision-making optimization problems, models, and solution methods

Keywords: renewable energy system     bibliometrics     mathematical programming     optimization models     solution methods    

TIE algorithm: a layer over clustering-based taxonomy generation for handling evolving data None

Rabia IRFAN, Sharifullah KHAN, Kashif RAJPOOT, Ali Mustafa QAMAR

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 6,   Pages 763-782 doi: 10.1631/FITEE.1700517

Abstract: It serves as a layer over an existing clustering-based taxonomy generation technique and allows an existing

Keywords: Taxonomy     Clustering algorithms     Information science     Knowledge management     Machine learning    

Intelligent methods for the process parameter determination of plastic injection molding

Huang GAO, Yun ZHANG, Xundao ZHOU, Dequn LI

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 1,   Pages 85-95 doi: 10.1007/s11465-018-0491-0

Abstract:

Injection molding is one of the most widely used material processing methods in producing plasticThis article reviews the recent studies and developments of the intelligent methods applied in the processThese intelligent methods are classified into three categories: Case-based reasoning methods, expertsystem-based methods, and data fitting and optimization methods.

Keywords: injection molding     intelligent methods     process parameters     optimization    

The research of connectivity-credibility restricted clustering algorithm in wireless sensor networks

Yu Jiming,Sun Yamin,Lei Yanjing,Yang Yuwang

Strategic Study of CAE 2010, Volume 12, Issue 9,   Pages 73-77

Abstract:

This paper proposed a speeding clustering algorithm of connectivity-credibilityconstrained random dispose which based on some other clustering algorithms.Simulation shows that this algorithm can get large cover of clustering, logical distributing and goodComparing to the lowerst-ID clustering and highest-connectivity clustering algorithm, the algorithm canget less number of cluster-heads, more logical clustering, good communication between nodes and cluster-heads

Keywords: wireless sensor networks     connectivity-credibility     clustering algorithm    

Efficient parallel implementation of a density peaks clustering algorithm on graphics processing unit Article

Ke-shi GE, Hua-you SU, Dong-sheng LI, Xi-cheng LU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 7,   Pages 915-927 doi: 10.1631/FITEE.1601786

Abstract: algorithm has been widely used in scientific research due to its novel and effective peak density-based clustering

Keywords: Density peak     Graphics processing unit     Parallel computing     Clustering    

Robust Maximum Entropy Clustering Algorithm RMEC and Its Outlier Labeling

Deng Zhaohong,Wang Shitong,Wu Xisheng,Hu Dewen

Strategic Study of CAE 2004, Volume 6, Issue 9,   Pages 38-45

Abstract:

In this paper, the novel robust maximum entropy clustering algorithm RMEC, as the improved version

Keywords: entropy     clustering     robustness     outliers     ε-insensitive loss function     weight factors    

Cyber–Physical Power System (CPPS): A review on measures and optimization methods of system resilience

Frontiers of Engineering Management 2021, Volume 8, Issue 4,   Pages 503-518 doi: 10.1007/s42524-021-0163-3

Abstract: On the basis of these assessment measures, the optimization methods of CPPS resilience are reviewed fromThe recent advances in modeling methods for cascading failures within the CPPS, which is the theoretical

Keywords: Cyber–Physical Power System     resilience assessment     resilience optimization     cascading failure modeling    

From Green to Sustainability—Trends in the Assessment Methods of Green Buildings

Steve Hsueh-Ming Wang,Paula Williams,Jing Shi,Huojun Yang

Frontiers of Engineering Management 2015, Volume 2, Issue 2,   Pages 114-121 doi: 10.15302/J-FEM-2015018

Abstract: This research investigates recent developments in assessment methods of green buildings and compares

Keywords: green     sustainability     buildings     assessment     methods     rating systems    

Edge preparation methods for cutting tools: a review

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 4, doi: 10.1007/s11465-023-0766-y

Abstract: Various edge preparation methods have been proposed for different tool matrix materials, geometries,First, typical edge characterization methods, which associate the microgeometric characteristics of the, advantages, and limitations of these methods are systematically summarized and analyzed.Edge preparation methods are classified into two categories: mechanical processing methods and nontraditionalprocessing methods.

Keywords: edge preparation method     preparation principle     cutting edge geometry     edge characterization     tool performance    

Title Author Date Type Operation

Embedding expert demonstrations into clustering buffer for effective deep reinforcement learning

Shihmin WANG, Binqi ZHAO, Zhengfeng ZHANG, Junping ZHANG, Jian PU

Journal Article

An anchor-based spectral clustering method

Qin ZHANG, Guo-qiang ZHONG, Jun-yu DONG

Journal Article

A systematic approach to ON-OFF event detection and clustering analysis of non-intrusive appliance load

Chuan Choong YANG,Chit Siang SOH,Vooi Voon YAP

Journal Article

A sampling method based on URL clustering for fast web accessibility evaluation

Meng-ni ZHANG,Can WANG,Jia-jun BU,Zhi YU,Yu ZHOU,Chun CHEN

Journal Article

Application of a Novel Fuzzy Clustering Method Based on Chaos Immune Evolutionary Algorithm for Edge

Journal Article

The research of grey clustering decision of assembly sequence based on petri net

Mo Qian,Luo Yi

Journal Article

A review of optimization modeling and solution methods in renewable energy systems

Journal Article

TIE algorithm: a layer over clustering-based taxonomy generation for handling evolving data

Rabia IRFAN, Sharifullah KHAN, Kashif RAJPOOT, Ali Mustafa QAMAR

Journal Article

Intelligent methods for the process parameter determination of plastic injection molding

Huang GAO, Yun ZHANG, Xundao ZHOU, Dequn LI

Journal Article

The research of connectivity-credibility restricted clustering algorithm in wireless sensor networks

Yu Jiming,Sun Yamin,Lei Yanjing,Yang Yuwang

Journal Article

Efficient parallel implementation of a density peaks clustering algorithm on graphics processing unit

Ke-shi GE, Hua-you SU, Dong-sheng LI, Xi-cheng LU

Journal Article

Robust Maximum Entropy Clustering Algorithm RMEC and Its Outlier Labeling

Deng Zhaohong,Wang Shitong,Wu Xisheng,Hu Dewen

Journal Article

Cyber–Physical Power System (CPPS): A review on measures and optimization methods of system resilience

Journal Article

From Green to Sustainability—Trends in the Assessment Methods of Green Buildings

Steve Hsueh-Ming Wang,Paula Williams,Jing Shi,Huojun Yang

Journal Article

Edge preparation methods for cutting tools: a review

Journal Article