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1.
X Cai,
G Wang, J Lou, M Jian, J Dong, RC Chen, B Stevens, H
Yu, Perceptual loss guided Generative adversarial network for
saliency detection, Information Sciences, 1196252023
2.
RC Chen, C Dewi, YC Zhuang, JK Chen, Contrast Limited Adaptive
Histogram Equalization for Recognizing Road Marking at Night Based on Yolo
Models, IEEE Access 2023.
3.
3. C DEWI, RC CHEN, HUI YU, X JIANG, XAI for Image Captioning
using SHAP. Journal of Information Science & Engineering 39
(4) 2 2023
4.
4. VS Saravanarajan, RC Chen, C Dewi, LS Chen, L Ganesan, Car
crash detection using ensemble deep learning Multimedia Tools and
Applications, 1-19 4 2023
5.
5. C Dewi, RC Chen, YC Zhuang, X Jiang,
H Yu, Recognizing road surface traffic signs based on YOLO models
considering image flips, Big data and cognitive computing 7 (1),
54 3 2023
6.
6. VS Saravanarajan, RC Chen, CH Hsieh,
LS Chen, Improving Semantic Segmentation Under Hazy Weather for Autonomous
Vehicles Using Explainable Artificial Intelligence and Adaptive Dehazing Approach IEEE Access 11, 38194-38207, 2023
7.
7. L Liu, M Wu, RC Chen, S Zhu, Y Wang A Hybrid Deep Learning
Model for Multi-Station Classification and Passenger Flow Prediction,
Applied Sciences 13 (5),
2899 1 2023
8.
8. Toharudin, RS Pontoh, RE Caraka, S Zahroh, Y Lee, RC Chen, Employing long short-term
memory and Facebook prophet model in air temperature forecasting, Communications
in Statistics-Simulation and Computation 52 (2), 279-290
9.
9. RE Caraka, RC Chen, SW Huang, SY Chiou, PU Gio, B Pardamean, Big data ordination to-wards intensive care
event count cases using fast computing GLLVMS, BMC medical research methodology
22 (1), 1-17, 2022
10. 10. KC Chiu, CS Lai, HHUI Chu, DT Thi,
RC Chen, Exploring the Effect of Social Networking Service on Homestay
Intention in Vietnam by GM (1, N) and Multiple Regression Analysis, Journal
of Information Science & Engineering, 2022, 38 (3)
11. 11. Dewi, C., Chen, R.-C.:
Combination of Resnet and Spatial Pyramid Pooling
for Musical Instru-ment Identification. Cybern. Inf. Technol. 22, 104 (2022). (Q2 SCIE)
12. 12. RC Chen, VS Saravanarajan, LS Chen,
H Yu, Road Segmentation and Environment Labeling for Autonomous Vehicles,
Applied Sciences, 2022, 12 (14), 7191.
13. 13. Dewi, C., Chen, R.-C.,
& Liu, Y. T. (2022). Synthetic Traffic Sign Image Generation Applying
Generative Adversarial Networks. Vietnam Journal of Computer Science.
https://doi.org/https://doi.org/10.1142/S2196888822500191
14. 14. C. Dewi, R.-C. Chen, X. Jiang, and
H. Yu, “Adjusting eye aspect ratio for strong eye blinkdetec-tion
based on facial landmarks,” PeerJ Comput. Sci., vol. 8, no. e943, 2022, [Online].
Available: https://doi.org/10.7717/peerj-cs.943. (Scopus Q1, SCIE).
15. 15. F Anggoro, RE Caraka,
FA Prasetyo, M Ramadhani,
PU Gio, RC Chen, ,Revisiting Cluster Vul-nerabilities towards Information and Communication
Technologies in the Eastern Island of Indo-nesia
Using Fuzzy C Means, Sustainability 14 (6), 3428
16. 16. C. Dewi, R.-C. Chen, X. Jiang, and
H. Yu, “Deep convolutional neural network for enhancing traffic sign
recognition developed on Yolo V4,” Multimed.
Tools Appl., 2022, doi:
https://doi.org/10.1007/s11042-022-12962-5.(Scopus Q1, SCIE)
17. 17. Dewi C, Christanto J, Henoch. Combination of Deep Cross-Stage
Partial Network and Spatial Pyramid Pooling for Automatic Hand Detection.
Big Data Cogn Comput.
2022;6(3):85. (Scopus Q1, SCIE)
18. 18. C. Dewi and R.-C. Chen, “Deep
Learning for Advanced Similar Musical Instrument Detection and
Recognition,” IAENG Int. J. Comput. Sci.,
vol. 49, no. 3, p. 27, 2022.
19. 19. Dewi, R. Chen, Y. Liu, and
H. Yu, “Various Generative Adversarial Networks Model for Synthet-ic Prohibitory Sign Image Generation,”
Applied Sciences, vol. 11, p. 2913, 2021. (Q1 SCIE)
20. 20. C. Dewi, R.-C. Chen, Y.-T. Liu, and
S.-K. Tai, “Synthetic Data generation using DCGAN for improved
traffic sign recognition,” Neural Computing and Applications, 2021.
(Q1 SCIE)
21. 21. T Toharudin, RS Pontoh,
RE Caraka, S Zahroh, A
Akbar, B Pardamean, Indonesia in Facing New
Normal: An Evidence Hybrid Forecasting of COVID-19 Cases Using MLP, NNAR
and ELM. Engineering Letters, 29 (2), 6,2021
22. 22. RE Caraka, Y Yusra, T Toharudin, RC Chen, M Basyuni,
V Juned, PU Gio, Did Noise Pollution Really
Improve during COVID-19? Evidence from Taiwan, Sustainability 13 (11),
5946, 2021
23. 23. Dewi, C., Chen, R.-C.,
Liu, Y.-T., Jiang, X., & Hartomo, K. D.
(2021). Yolo V4 for advanced Traffic Sign Recognition with synthetic
training data generated by various GAN. IEEE Access.
https://doi.org/10.1109/ACCESS.2021.3094201. (Q1 SCIE)
24. 24. RE Caraka, M Noh, RC Chen, Y Lee, PU
Gio, B Pardamean,
Connecting climate and communi-cable disease to penta helix using hierarchical likelihood structural
equation modelling, Symmetry, 2021, 13 (4), 657.
25. 25. C. Dewi, R.-C. Chen, H. Yu, and X.
Jiang, “Robust detection method for improving small traffic sign
recognition based on spatial pyramid pooling,” Journal of Ambient
Intelligence and Human-ized Computing, Nov. 2021.
(Q1 SCIE)
26. 26. C. Dewi, R.-C. Chen, Hendry, and
H.-T. Hung, “Experiment Improvement of Restricted Boltz-mann
Machine Methods for Image Classification,” Vietnam Journal of
Computer Science, vol. 08, no. 03, pp. 417–432, Aug. 2021.
27. 27. C. Dewi, R.-C. Chen and S.-K. Tai,
"Evaluation of Robust Spatial Pyramid Pooling Based on Convolutional
Neural Network for Traffic Sign Recognition System," Electronics, vol.
9, no. 6, p. 889, 2020.(SCI)
28. 28. C. Dewi and R. C. Chen,
“Random forest and support vector machine on features selection for
regression analysis,” International Journal of Innovative Computing,
Information and Control, vol. 15, no. 6, pp. 2027–2037, 2019.(ESCI)
29. 29. Xiao-dong Wang, Rung-Ching Chen*, Zhi-qiang
Zeng, Chao-qun Hong, and Fei
Yan, Robust Dimension Reduction for Clustering with Local Adaptive
Learning. IEEE Transactions on Neural Networks and Learning Systems, Vol.
30, No. 3, 657 – 669, 2019(SCI)
30. 30. Hendry, R.C. Chen*, Automatic License Plate Recognition via
sliding-window darknet-YOLO deep learning. Image
and Vision Computing, Vol. 87, 47-56, 2019.
31. 31. R. C. Chen, Hendry, User Rating Classification via Deep Belief
Network Learning and Sentiment Analysis. IEEE Transactions on Computational
Social Systems, Vol.6, No. 3, 535-546. (ESCI)
32. 32. D Wang, R.C. Chen*, F Yan, ZQ Zeng, CQ Hong (2019, Mar). Fast Adaptive
K-Means Sub-space Clustering for High-Dimensional Data. IEEE Access, Vol.7,
42639-42651.(SCI)
33. 33. Rezzy Eko
Caraka, Rung Ching Chen*, Toni Toharudin, Bens Pardamean, Hasbi Yasin, Shih Hung Wu,
(2019, Oct.). Prediction of Status Particulate Matter 2.5 using State
Markov Chain Sto-chastic Process and HYBRID
VAR-NN-PSO, IEEE Access, Vol. 7, 161654 – 161665, 2019(SCI)
34. 34. Hendry, Rung-Ching Chen* Using Deep Learning to Predict User
Rating on Imbalance Classifi-cation Data. IAENG
International Journal of Computer Science, Vol. 46, No. 1, 109-117, 2019.
(ESCI)
35. 35. Qiangfu
Zhao, Chia-Ming Tsai, Rung-Ching Chen*, Chung-Yi Huang. Resident activity recogni-tion based on binary infrared sensors and soft
computing. International Journal of Machine Learn-ing
and Cybernetics, DOI:10.1007/s13042-017-0714-4, 2019 (2), 291-299,
2019.(SCI)
36. 36. Lijuan Liu,
Rung-Ching Chen*, Qiangfu Zhao, Shunzhi Zhu,
Applying a multistage of input fea-ture
combination to random forest for improving MRT passenger flow prediction,
Journal of Am-bient Intelligence and Humanized
Computing, Vol. 10, No. 11, 4515-4532, 2019.(SCI)
37. 37. Hendry, Rung-Ching Chen*, Using deep learning to predict user
rating on imbalance classifica-tion data, IAENG
International Journal of Computer Science, Vol. 46, No. 1, 109-117,
2019.(ESCI)
38. 38. Xiao-dong Wang, Rung-Ching Chen, Chao-qun
Hong, Zhi-qiang Zeng, Unsupervised Feature
Analysis with Sparse Adaptive Learning, Pattern Recognition Letters,
2018(SCI, Accepted, IF:1.99)
39. 39. Xiao-dong Wang, Rung-Ching Chen, Zhi-qiang
Zeng, Chao-qun Hong, and Fei
Yan, Robust Dimension Reduction for Clustering with Local Adaptive
Learning, IEEE Trans. on Neural Networks and Learning Systems,
2018(Accepted)
40. 40. Rung-Ching Chen, HuiQin Jiang,
Chung-Yi Huang, and Cho-Tsan Bau,
Clinical Decision Support System for Diabetes Based on Ontology Reasoning
and TOPSIS Analysis, Journal of Healthcare Engineering, 2017(SCI, Accepted,
ISSN 2040 2295 )
41. 41. Rung-Ching Chen, Hendry and Lijuan
Liu, Enhancing Personal Recommendation System Using Familarity
Factor on Social Network, International Journal of InnovativeComputing,
Information and Control ,Volume 13, Number 6, 2017, pp. 2025-2038.(ESCI,
EI, Scopus, ISSN 1349-4198.)
42. 42. Xiao-dong Wang, Rung-Ching Chen*, Chao-qun
Hong, Zhi-qiang Zeng, Zhi-li
Zhou, Semi-supervised multi-label feature selection via label correlation
analysis with l1-norm graph embedding, Image and Vision Computing, Volume
63, 2017, Pages 10-23, (SCI, IF:2.671, Scopus Q1, ISSN
0262-8856,)http://dx.doi.org/10.1016/j.imavis.2017.05.004.
43. 43. Xiao-dong Wang, Rung-Ching Chen*, Fei
Yan, Zhi-qiang Zeng, Chao-qun
Hong, Semi-supervised adaptive feature analysis and its application for
multimedia understanding", Multimedia Tools and Applications,
2017,(SCI, IF:1.53,Scopus Q1, ISSN 1573-7721,)
https://doi.org/10.1007/s11042-017-4990-5
44. 44. Rung Ching Chen, CY Huang, YH Ting,A Chronic Disease Diet Recommendation System
Based on Domain Ontology and Decision Tree, vol.21, no. 3, 2017,
pp.474-482(EI, ISSN 1343-0130.
45. 45. Qiangfu
Zhao, Chia-Ming Tsai, Rung-Ching Chen*, Chung-Yi Huang, Resident activity
recognition based on binary infrared sensors and soft computing,
International Journal of Machine Learning and Cybernetics,
https://link.springer.com/article/10.1007/s13042-017-0714-4 (accepted SCI;
Scopus Q1, First Online: 18 August 2017, IF: 1.699), ISSN: 1868-8071
46. 46. Lijuan Liu,Rung Ching Chen*, A novel passenger flow prediction
model using deep learning methods, Transportation Research Part C,
(accepted SCI; Scopus Q1 First Online: 18 August 2017, IF:3.85), ISSN
0968-090X
47. 47. Rung-Ching Chen*, Chung-Yi Huang, Cho-Tsan
Bau and Long-Sheng Chen, A Decision Support
System for Diabetes Medicine Selection Using Patient Centered Treatment
Based on Fuzzy Logic and Domain Ontology, International Journal of
Innovative Computing, Information and Control, Volume 13, No. 5, 2017,pp.
1681-1692,(ESCI, EI, Scopus, ISSN 1349-4198.)
48. 48. Bin Dai, Rung-Ching Chen*, A Practical Approach for Estimating
Human Daily Water Intake, Int. J. of Embedded Systems,2017 (Accepted)(EI/Scopus,ISSN 1741-1068)
49. 49. Shao-Kuo Tai, Chong-Yan Liao and
Rung-Ching Chen*, Exploration of Multi-Brainwave System Mainframe Design,
ICIC Express Letters, Part B: ApplicationsAn
International Journal of Research and Survey, 2017, Vol. 8, No. 9, pp.
1307-1314(Scopus, ISSN 2185-2766.)
50. 50. Xiao-dong Wang, Rung-Ching Chen*, Fei
Yan, Zhi-qiang Zeng, Semi-supervised feature
selection with exploiting shared information among multiple tasks, Journal
of Visual Communication and Image Representation, Volume 41, 2016, Pages
272-280, (SCI; IF:2.164;Scopus Q1; ISSN
1047-3203,)http://dx.doi.org/10.1016/j.jvcir. 2016.10.007.
51. 51. Lijuan Liu,
Rung Ching Chen* and Shunzhi Zhu, Passenger Origin-Destination Travel Time
Estimation Model for BRT, ICIC Express Letters, Part B: Applications, vol.
7. No. 9, pp. 2067-2072, 2016.(EI)
52. 52. Xiao-dong
Wang, Rung-Ching Chen*, Fei Yan, Zhi-qiang Zenga Semi-supervised
Feature Selection with Exploiting Shared Information Among Multiple Tasks
Semi-supervised feature selection with exploiting shared information among
multiple tasks, Journal of Visual Communication and Image
Representation, Volume 41,
November 2016, Pages 272–280 (SCI)
53. 53. Lijuan Liu,
Rung Ching Chen* and Shunzhi Zhu, Passenger Origin-Destination Travel Time
Estimation Model for BRT, ICIC Express Letters, Part B: Applications, vol.
7. No. 9, pp. 2067-2072, 2016.(EI)
54. 54. Ren-Hao Pan,
Rung-Ching Chen, Elong Lin, Yung-Kuan Chan, Yung-Fu Chen, Using genetic
algorithm and maximum clique to design multiplex PCR primers for sequential
deletion applications, International Journal of Data Mining and
Bioinformatics, Jan. 2016, Vol. 14, Issue 2, pp. 177-195(SCIE)
55. 55. RC Chen, Hendry, CY Huang A Domain
Ontology in Social Networks for Identifying User Interest for Personalized
Recommendations, - Journal of Universal Computer Science, vol.
22, no. 3 (2016), 319-339. (SCI)
56. Xiao-dong Wang,
Rung-Ching
Chen*, Fei Yan, Zhi-qiang Zenga
Semi-supervised Feature Selection with Exploiting Shared Information
Among Multiple Tasks Semi-supervised feature selection with exploiting
shared information among multiple tasks, Journal of Visual Communication
and Image Representation, Volume 41,
November 2016, Pages 272–280 (SCI)
57. Lijuan Liu,
Rung Ching Chen* and Shunzhi Zhu, Passenger Origin-Destination Travel Time
Estimation Model for BRT, ICIC Express Letters, Part B: Applications, vol.
7. No. 9, pp. 2067-2072, 2016.(EI)
58.
Ren-Hao Pan, Rung-Ching Chen, Elong Lin, Yung-Kuan Chan, Yung-Fu Chen, Using genetic algorithm and maximum clique to
design multiplex PCR primers for sequential deletion applications,
International Journal of Data Mining and
Bioinformatics, Jan. 2016, Vol. 14, Issue 2, pp. 177-195(SCIE)
59.
RC Chen, Hendry, CY Huang A Domain Ontology in Social Networks for
Identifying User Interest for Personalized Recommendations, -
Journal of Universal Computer Science, vol. 22, no. 3 (2016), 319-339.
(SCI)
60.
Bin Dai, Rung-Ching Chen, Shun-Zhi Zhu, Chung-Yi Huang, A fuzzy recommendation
system for daily water intake, Advances in Mechanical Engineering, 2016,
Vol. 8(5) 1–8 The Author(s) 2016 DOI: 10.1177/1687814016649937(SCI)
61.
R.C. Chen, Hendry, Finding Users Attributes from User
Common Interest on Social Networks, ICIC Express Letters, Part B:
Applications An International Journal of Research
and Surveys, Volume 7, No. 2, pp. 407-414, ISSN 2185-2766, February 2016.
(EI)
62.
Bin Dai, Lei Xiao, Shunzhi Zhu and Rung-Ching Chen,
Recommendation System for Daily Water Intake- Based on Fuzzy System,
ICIC Express Letters, Part B: Applications An International Journal
of Research and Surveys, Volume 7, No. 6, pp. 1223-1230, ISSN 2185-2766,
June, 2016. (EI)
63.
Hendry Honk, Harestu Pramadharmaand, Rung-Ching Chen Building Browser
Extension to Develop Website Personalization Based on Adaptive Hypermedia
System, Current Approaches in Applied Artificial
Intelligence Volume 9101 of the series Lecture Notes in Computer Science pp 316-325 Date: 01 May
2015
64.
Bin Dai, Rung-Ching Chen and Kun-Lin ChenSmart
Home Energy Conservation Based on Context Awareness
Technology ,Current Approaches in Applied Artificial
IntelligenceVolume 9101 of the series Lecture Notes in Computer Science pp 722-731.
65.
Wei-Lun Chang, Deze Zeng, Rung-Ching
Chen, Song Guo: An artificial bee colony algorithm
for data collection path planning in sparse wireless sensor networks. Int. J. Machine Learning &
Cybernetics 6(3): 375-383 (2015)
66.
*Rung-Ching Chen, Chia-Fen Hsieh, Wei-Lun
ChangUsing Ambient Intelligent to Extend Network
Lifetime in Wireless Sensor NetworksJournal of
Ambient Intelligence & Humanized Computing (AIHC)(SCI)
67.
The application of topsis algorithm to diabetic
diet recommendation
ICIC Express Letters, Part B: Applications, vol. 6, no. 4, pp.
1105–1111, 2015
68.
C. T. Bau, and Rung-Ching
Chen*, Chung-Yi Huang,”Construction of a
clinical decision support system for undergoing surgery based on domain
ontology and rules reasoning,” Telemedicine and e-Health (SCI)
Accept, 2013.
69.
C. T. Bau, and Rung-Ching
Chen*, Chung-Yi Huang, ”Construction of a clinical decision support
system for undergoing surgery based on domain ontology and rules
reasoning,” Telemedicine and e-Health (SCI) Vol. 20 No.5, 2014.
70.
Chia-Fen Hsieh, Rung-Ching Chen*, and Yung-Fa Huang,
“Applying an Ontology to a Patrol Intrusion Detection System for
Wireless Sensor Networks, International Journal of Distributed Sensor
Networks(SCI), Vol. 2014, Article ID 634748, 14 pages.
71. HuiQin Jiang and Rung-Ching Chen, “The
applications of solving medical problems,” ICIC Express Letters (EI:
ISSN 1881-803X), Volume 8, Number 5, pp. 1-6, 2014
72.
C. T. Bau, and Rung-Ching Chen,”An ontological approach for guideline-based
decision support system,” International Journal on Computer, Consumer
and Control (IJ3C), Vol. 2, No.3, 2013.
73.
Shyi-Ming
Chen, Yun-Hou Huang, and Rung-Ching Chen,
“A recommendation system for anti-diabetic drugs selection based on
fuzzy reasoning and ontology techniques,” International Journal of
Pattern Recognition and Artificial Intelligence (SCI) Volume 27, Issue 04,
June, 2013
74.
Wei-Lun Chang, Deze Zeng, Rung-Ching Chen, and Song Guo,
“An artificial bee colony algorithm for data collection path planning
in sparse wireless sensor networks,” International Journal of Machine
Learning and Cybernetics, 2013 (EI)
75.
Chia-Fen Hsieh, Kai-Fan Cheng, Hung-Fa Huang, Rung-Ching
Chen, “An intrusion detection system for ad hoc networks with
multi-attacks based on a support vector machine and rough set
theory,” Journal of Convergence Information Technology (JCIT) (EI:
ISSN: 2233-9299), 2013
76.
Rung-Ching Chen, S.W. Huang, Y.-C. Lin, Q. F. Zhao, 2013,
“An indoor location system based on neural networks and genetic
algorithms,” Int. J. of Sensor Networks, 2013, accepted, (SCI)
77.
Rung-Ching Chen, Y. H. Huang, C. T. Bau,
and S. M. Chen, 2012, “A recommendation system based on domain ontology
and SWRL for anti-diabetic drugs selection,” Expert Systems with
Applications, vol. 39, no. 4, pp. 3995-4006. (SCI and EI)
78.
J. Ji, Rung-Ching Chen, and Q. F. Zhao, 2011,
"Document analysis system based on awareness learning," Journal
of Advance Computational Intelligence and Intelligent Informatics, Vol. 15,
No. 9, pp. 1230-1240.
79.
Rung-Ching. Chen, Y.-C. Lin, S.-L. Huang, and Q. F. Zhao,
2011, "Using radio frequency identification for indoor location
identification based on power level, signal strength and fuzzy
method," Journal of Advance Computational Intelligence and Intelligent
Informatics, Vol. 15, No. 9, pp. 1287-1298.
80.
Rung-Ching Chen, Yen-Chun Liu, Jeng-Feng
Yang, 2011, “Use Risk Factors Identification and Analysis for
Selecting the Software Development Processes”, Journal of e-Business,
June, Vol 13, No. 2. pp. 389-412. (TSSCI)
81.
Rung-Ching Chen, Chun-Ju Yeh, Cho-Tscan Bau, 2011, “Merging Domain Ontologies Based on
the WordNet System and Fuzzy Formal Concept Analysis Techniques”,
Applied Soft Computing (on line available)(SCI; NCS: 97-2221-E-324-033- ).
82.
Rung-Ching Chen and Yu-Shiang
Lin, 2011, “Indoor position location using ZigBee wireless sensor
networks based on neural network,” International Journal of Advanced
Information Technologies (IJAIT), Taiwan.
83.
J.-J. Liaw, S.-B. Lian, Y.-F. Huang, and R.-C. Chen, 2010
, “Using Sharpness Image with Haar
Function for Urban Atmospheric Visibility Measurement,” Aerosol and
Air Quality Research, Vol. 10, No. 4, pp. 323-330. (SCIE
).
84.
Rung-Ching Chen, Chia-Fen Hsieh, Yung-Fa Huang, 2010,
"An Isolation Intrusion Detection System for Hierarchical Wireless
Sensor Networks," Journal of Networks (EI), Vol. 5, No. 3, pp.
335-342.
85.
Rung-Ching Chen, Ming-Yung Tsai and Cho-Tsan Bau, 2010, "Web
Pages Cluster Based on the Relations of Mapping Keywords to Ontology
Concept Hierarchy," IJICIC(SCI), Volume 6,
Number 6, June 2010 pp. 2749–2760. (NCS: 97-2221-E-324-033-)
86.
Yung-Kuan Chan, Pei-Yan Pai, Rung-Ching Chen, Chin-Chen Chang, 2010, “A VQ
Compression Method Based On The Variations Of The Image Block Groups,”
International Journal Of Innovative Computing Information And
Control Vol.
6 No.10, pp. 4527-4537.(SCI)
87.
陳榮靜、林裕証,2010，以倒傳遞類神經網路改善RFID三度空間定位系統，資訊科技國際期刊，第四卷，第二期，第44-55頁。
88.
Rung-Ching Chen and Ming-Hsian Lin, 2009, "A
Novel Method for Solving Unbounded Knapsack Problem," China
Management Informationization, Vol.165, pp.57-60.
89.
陳榮靜, 閆彥,
2009, "一個新的銀行信用風險評估方法," 中國管理信息化,
Vol. 165, pp.108-111.
90.
Rung-Ching Chen, Sheng-Ling Huang,
2009, "A New Method for Indoor Location Base on Radio
Frequency Identification," WSEAS Transactions on
Communications, Vol. 8, pp. 618-627, ISSN: 1109-2742(EI)
91.
Rung-Ching Chen, Pei-Yan Pai,
Yung-Kuan Chan and Chin-Chen Chang,
2009, "Lossless Image Compression Based on Multiple-Tables Arithmetic
Coding," Accepted by Mathematical Problems in Engineering, Jun.
(SCI)
92.
Rung-Ching Chen, Kai-Fan Cheng and Chia-Fen
Hsieh,” Using Rough Set And Support Vector Machine For Network Intrusion
Detection System,” International Journal of Network Security
& Its Applications (IJNSA), Vol. 1, No. 1, pp.01-13, 2009.
93.
簡宏宇, 陳榮靜, 沈安妮,
2009, "高效率、高連結、低儲存成本的感測節點金鑰分配," Electronic
Commerce Studies, Vol. 7, No.1, pp. 59-76.
94.
Yung-Fu Chen, Rung-Ching Chen, Yung-Kuan
Chan, Ren-Hao Pan, You-Cheng Hseu,
Elong Lin, 2009, “Design of multiplex PCR
primers using heuristic algorithm for sequential deletion
applications,” Computational Biology and Chemistry. 33(2):181-8. (
SCI)
95.
Rung-Ching Chen, Cheng-Huei
Jian, Yung-Fa Huang, 2008, "An Adaptive Population Sizes and Runs of
Genetic Algorithm With Elite Strategy for Solving the Unbounded Knapsack
Problem," International Journal of Smart Home. Vol 2. No. 2.
pp.139-150
96.
Rung-Ching Chen, Cheng-Han Chuang, 2008 "Automating
Construction of a Domain
Ontology Using a Projective Adaptive Resonance Theory (PART) Neural Network
and Bayesian Network," Expert Systems: The Journal of Knowledge
Engineering. Vol. 25, No. 4 pp. 414-430. (SCI)
97.
Y. K. Chan, Y.A. Ho, Y.T. Liu, R. C. Chen, 2008, “A
ROI image retrieval method based on CVAAO,”Image
and Vision Computing 26 (2008) 1540–1549.(SCI)
98.
Rung-Ching Chen, Su-Ping Chen, 2008, "Intrusion
Detection Using a Hybrid Support Vector Machine Based on Entropy and TF-IDF, ” International Journal of Innovative
Computing, Information and Control (IJICIC) (SCIE ) Volume 4, Number
2, pp, 413-424.
99.
Chen, Yung-Fu, Rung-Ching Chen , Tseng, Lin-Yu;
Lin, Elong ; Chan, Yung-Kuan,
Pan, Ren-Hao, 2007, "An Automatic Multiplex PCR Assays Design for
Generating Various N-terminal Truncated cDNA Mutants, "Nucleic Acids
Research (SCI IF:7.552 )
100. Shuo Han, Rung-Ching Chen, 2007,“ Using SVM with Financial Statement Analysis for
Prediction of Stocks,” Communications of the International
Information Management Association(IIMA), Vol. 7, No. 4, pp. 63-70.
101. Rung-Ching
Chen, Su-Ping Chen, 2007, “An Intrusion Detection Based on
Support Vector Machines with a Voting Weight Schema,” IEA/AIE
2007, Lecture Note in Artificial Intelligence.(EI:Accept Rate is about 29%)
102. Rung-Ching
Chen, Cheng-Huei Jian, 2007, ”Solving
Unbounded Knapsack Problem Using an Adaptive Genetic Algorithm with Elitism
strategy,”The Fifth International Symposium
on Parallel and Distributed Processing and Applications (ISPA07),
International Workshop on Intelligent Systems and Smart Home, Springer's
Lecture Notes in Computer Science, August 29 - 31, 2007,CANADA .(EI :The
Workshop Accept Rate is about 25%)
103. Rung-ChingChen, J.Y. Liang, R. H. Pan,
2008, ”Using Recursive ART Network to Construction Domain
Ontology Based on Term Frequency and Inverse Document
Frequency,” Expert Systems with Applications(SCI IF:1.24 )(to be
appear)
104. Rung-Ching
Chen, Chuen-Chieh Liao, 2007,”A Genetic
Algorithm with Fuzzy Selection and Local Search for Multicast Routing
Problem on the QoS
Constraint,” International Journal of Computer Systems Science
and Engineering(SCI), Volume 22, No 4. ISSN 0267
6192.
105. Yung-Fa
Huang, W.-H. Luo, J. Sum, L.-H. Chang, C.-W. Chang and Rung-Ching
Chen, 2007, “Lifetime Performance of an Energy Efficient Clustering
Algorithm for Cluster-Based Wireless Sensor Networks,” in Frontiers
of High Performance Computing and Networking, LNCS 4743, Springer-Verlag
Berlin Heidelberg, pp. 455–464, Aug. (EI)
106. Rung-Ching
Chen, C. H. Hsieh, 2006, "Web Page Classification Based on a Support
Vector Machine Using a Weighted Vote Schema," Expert Systems with
Applications (SCIIF:1.24 ), Vol.31, pp
427-435.
107. Rung-Ching
Chen, J.D. Ho, 2006, "A Pornographic Web Page Detecting Method Based
on SVM Model Using Text and Image Features," Vol 1. No.4, InderScience Publishers, IJIPT.
108. Y.K.
Chan, Y. T. Liu, Rung-Ching Chen, 2005,"An Image Retrieval System
Based on the Color Complexity of Images", Computing and informatics,
Vol. 24, 495-511(SCI)
109. Y.
K. Chan, D. Y. Huang, and S. C. Wu, Rung-Ching Chen,
2005, “A Robust Halftone Binary Image Hiding
Method,” Journal of Applied System Studies, Vol. 6, No. 3. (SCI)
110. L.Y.
Tseng and R.C. Chen , 1998, Recognition
and data extraction of form documents based on three types of line
segments, Pattern Recognition , Vol 31, No. 10. pp. 1525-1540.
(SCI)
111. L.Y.
Tseng and R.C. Chen , (19)1998, Segmenting handwritten Chinese
characters based on heuristic merging of stroke bounding boxes and dynamic
programming, Pattern Recognition Letter , pp. 963-973. (SCI) (
NSC88-2213-E005-015 )
112. 陳榮靜; 許婉琳; 林良諭; 賴啟哲; 許勝智,
2006“以行動裝置結合商圈店家資訊系統,” 中華民國資訊學會通訊,
Dec. pp. 71-85
113. 陳榮靜 李雅清 潘人豪,
2005, "以語意相似度為基礎擴展本體論概念," 資訊管理與工程學報,
Vol. 6. No.1, pp. 61-67.
114. R.C.
Chen, 2003,”The implements of the Campus Network Detect, Maintain and
Management System with Wireless PDA ,” Journal
of CHAOYANG University of Technology , pp. 313-326.
115. R.C.
Chen, Efficient Data Mining User Sessions Based on Bi-Direction Traversal
Patterns, Journal of CHAOYANG University of Technology. pp.121-139
116. R.
C. Chen, 2001, An example of school club operation
using website, Journal of Chienkuo Jr.
College of Technology and Commerce pp.625-632.
117. J.H
Liu, L.F Li, R. C. Chen , 2001, Automatically detecting website
service, Journal of Chienkuo Jr. College of
Technology and Commerce , pp.615-624.
118. R.C.
Chen and L.F. Lai, 2000, A blackboard system for automating software
development, Journal of Chienkuo Institute
of Technology, pp. 799-808.
119. J.W.
Dai and R.C. Chen , 2000, A New
Algorithm with Two Protection Layers for Digital Watermarking
Scheme, Journal of Chienkuo Institute of
Technology.
120. J.H.
Liu , R. C. Chen , M.J. Hou , 1999, Y2k problem at school, Journal of Chienkuo Jr. College of Technology and Commerce
, pp.723-736.
121. R.C.
Chen and L.Y. Tseng, 1998, Recognition Non-line form
documents, Journal of Chienkuo Jr. College
of Technology and Commerce , pp.493-507.
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