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2020 – today
- 2023
[j39]Bao Rong Chang, Hsiu Fen Tsai, Chia-Wei Hsieh:
Location and timestamp-based chip contour detection using LWMG-YOLOv5. Comput. Ind. Eng. 180: 109277 (2023)- [c57]Bao Rong Chang
, Hsiu Fen Tsai, Fu-Yang Chang:
Chip contour detection and recognition based on deep-learning approaches. CCIOT 2023: 22-30 - 2022
- [j38]Tang-Kai Yin, Kai-Lun Huang, Si-Rong Chiu, Yu-Qi Yang, Bao-Rong Chang:
Endoscopy Artefact Detection by Deep Transfer Learning of Baseline Models. J. Digit. Imaging 35(5): 1101-1110 (2022) - 2021
- [j37]Bao Rong Chang, Hsiu Fen Tsai, Jyong-Lin Lyu, Chien-Feng Huang:
Distributed sensing units deploying on group unmanned vehicles. Int. J. Distributed Sens. Networks 17(7): 155014772110368 (2021) - [j36]Bao Rong Chang, Hsiu Fen Tsai, Po-Wen Su:
Applying Code Transform Model to Newly Generated Program for Improving Execution Performance. Sci. Program. 2021: 6691010:1-6691010:21 (2021) - 2020
- [j35]Chien-Feng Huang, Hsiao-Chi Wu, Po-Chun Chen, Bao Rong Chang:
Autonomous self-evolving forecasting models for price movement in high frequency trading: Evidence from Taiwan. Intell. Data Anal. 24(5): 1175-1206 (2020)
2010 – 2019
- 2018
- [j34]Bao Rong Chang, Hsiu Fen Tsai, Po-Hao Liao:
Applying intelligent data traffic adaptation to high-performance multiple big data analytics platforms. Comput. Electr. Eng. 70: 998-1018 (2018) - [j33]Bao-Rong Chang, Yo-Ai Wang:
Development of Multiple Big Data Processing Platforms for Business Intelligence. J. Inf. Hiding Multim. Signal Process. 9(1): 40-50 (2018) - [j32]Bao-Rong Chang, Hsiu Fen Tsai, Hsia-Chung Huang:
Implementation of Smart Mobile Point-of-Sale Cash Register System. J. Netw. Intell. 3(3): 170-188 (2018) - 2017
- [j31]Bao Rong Chang, Yun-Da Lee, Po-Hao Liao:
Development of Multiple Big Data Analytics Platforms with Rapid Response. Sci. Program. 2017: 6972461:1-6972461:13 (2017) - 2016
- [j30]Bao Rong Chang, Hsiu Fen Tsai, Cin-Long Guo:
Applying Intelligent Adaptation to Remote Cloud Datacenter Backup. J. Adv. Comput. Intell. Intell. Informatics 20(6): 928-940 (2016) - [j29]Bao-Rong Chang, Hsiu Fen Tsai, Hung-Ta Hsu:
Secondary Index to Big Data NoSQL Database ¡V Incorporating Solr to HBase Approach. J. Inf. Hiding Multim. Signal Process. 7(1): 80-89 (2016) - [j28]Bao-Rong Chang, Hsiu Fen Tsai, Cin-Long Guo:
High Performance Remote Cloud Datacenter Backup in Big Data Environment. J. Inf. Hiding Multim. Signal Process. 7(5): 993-1005 (2016) - [c56]Bao Rong Chang, Hsiu Fen Tsai, Yo-Ai Wang:
Optimized Multiple Platforms for Big Data Analysis. BigMM 2016: 155-158 - [c55]Bao Rong Chang, Hsiu Fen Tsai, Yi-Sheng Chang, Chien-Feng Huang:
Multiple big data processing platforms. TAAI 2016: 207-211 - 2015
- [j27]Chien-Feng Huang, Chi-Jen Hsu, Chi-Chung Chen, Bao Rong Chang, Chen-An Li:
An Intelligent Model for Pairs Trading Using Genetic Algorithms. Comput. Intell. Neurosci. 2015: 939606:1-939606:10 (2015) - [j26]Bao Rong Chang, Hsiu Fen Tsai, Chia-Yen Chen, Cin-Long Guo:
Empirical Analysis of High Efficient Remote Cloud Data Center Backup Using HBase and Cassandra. Sci. Program. 2015: 294614:1-294614:10 (2015) - [j25]Bao Rong Chang, Hsiu Fen Tsai, Chia-Yen Chen, Chien-Feng Huang, Hung-Ta Hsu:
Implementation of Secondary Index on Cloud Computing NoSQL Database in Big Data Environment. Sci. Program. 2015: 560714:1-560714:10 (2015) - [c54]Bao Rong Chang, Hsiu Fen Tsai, Yo-Ai Wang, Chin-Fu Kuo:
Intelligent Adaptation to in-Cloud NoSQL Database Remote Backup between Data Centers. ASE BD&SI 2015: 4:1-4:6 - [c53]Chin-Fu Kuo, Ting-Hsi Yeh, Yung-Feng Lu, Bao-Rong Chang:
Efficient Allocation Algorithm for Virtual Machines in Cloud Computing Systems. ASE BD&SI 2015: 48:1-48:6 - [c52]Chia-Yen Chen, Po-Sen Huang, Sheng-Wen Huang, Jia-Hong Zhang, Bao Rong Chang:
Structured light 3D face scanning system. ICCE-TW 2015: 344-345 - [c51]Bao Rong Chang, Hsiu Fen Tsai, Cin-Long Guo, Chia-Yen Chen:
Remote cloud data center backup using HBase and Cassandra with user-friendly GUI. ICCE-TW 2015: 420-421 - [c50]Ting-Hsiang Huang, Zhen-Qi Zhuang, Chia-Yen Chen, Bao Rong Chang, Chia-Chen Kuo:
Feature tracking using epipolar geometry for ego-motion estimation. IVCNZ 2015: 1-6 - [c49]Bao Rong Chang, Hsiu Fen Tsai, Yo-Ai Wang, Chia-Yen Chen:
Realization of secondary indexing to NoSQL database with intelligent adaptation. TAAI 2015: 449-452 - 2014
- [j24]Bao Rong Chang, Chi-Ming Chen, Chien-Feng Huang, Hsiu Fen Tsai:
Intelligent adaptation for UEC video/voice over IP with access control. Int. J. Intell. Inf. Database Syst. 8(1): 64-80 (2014) - [j23]Bao Rong Chang, Hsiu Fen Tsai, Yun-Che Tsai:
High-Performed Virtualization Services for In-Cloud Enterprise Resource Planning System. J. Inf. Hiding Multim. Signal Process. 5(4): 614-624 (2014) - [j22]Chia-Yen Chen, Bao Rong Chang, Po-Sen Huang:
Multimedia augmented reality information system for museum guidance. Pers. Ubiquitous Comput. 18(2): 315-322 (2014) - [j21]Bao Rong Chang, Hsiu Fen Tsai, Yun-Che Tsai, Yi-Sheng Chang:
Applying authentication and network security to in-cloud enterprise resource planning system. Vietnam. J. Comput. Sci. 1(2): 129-140 (2014) - [c48]Bao Rong Chang, Hsiu Fen Tsai, Ju-Chun Cheng, Yun-Che Tsai:
High Availability and High Scalability to in-Cloud Enterprise Resource Planning System. ECC (2) 2014: 3-13 - [c47]Shin-Shou Chen, Chien-Feng Huang, Tzung-Pei Hong, Bao Rong Chang:
Using a Genetic Model for Asset Allocation in Stock Investment. ICS 2014: 167-174 - [c46]Bao Rong Chang, Hsiu Fen Tsai, Chia-Yen Chen, Hung-Ta Hsu:
Analysis of Big Data Sized NoSQL Database with Secondary Index. ICS 2014: 553-558 - [c45]Sheng-Wen Huang, Po-Sen Huang, Jia-Hong Zhang, Yu-Mei Hong, Chia-Yen Chen, Bao Rong Chang:
Gantry-Mounted Laser-Stripe Scanning System for Face Shape Recovery. ICS 2014: 1305-1314 - [c44]Chia-Yen Chen, Jia-Hong Zhang, Bao Rong Chang:
Visual Odometry with Improved Adaptive Feature Tracking. IVCNZ 2014: 7 - [c43]Bao Rong Chang, Hsiu Fen Tsai, Cin-Long Guo, Chia-Yen Chen, Chien-Feng Huang:
High-Efficiency Remote Cloud Data Center Backup with Intelligent Parameter Adaptation. TAAI 2014: 26-35 - 2013
- [j20]Bao Rong Chang, Hsiu Fen Tsai, Chi-Ming Chen:
Evaluation of Virtual Machine Performance and Virtualized Consolidation Ratio in Cloud Computing System. J. Inf. Hiding Multim. Signal Process. 4(3): 192-200 (2013) - [c42]Bao Rong Chang, Hsiu Fen Tsai, Chi-Ming Chen, Yi-Sheng Chang, Chien-Feng Huang:
Cloud-Mobile Computing Based Real-Time VVoIP with PSO-ANFIS Tuning. TAAI 2013: 115-121 - 2012
- [j19]Bao Rong Chang, Chien-Feng Huang, Hsiu Fen Tsai, Zih-Yao Lin:
Rapid Access Control on Ubuntu Cloud Computing with Facial Recognition and Fingerprint Identification. J. Inf. Hiding Multim. Signal Process. 3(2): 176-190 (2012) - [j18]Chung-Ping Young, Bao Rong Chang, Zhiliang Qiu:
Scheduling Optimization for Vector Graphics Acceleration on Multiprocessor Systems. J. Inf. Hiding Multim. Signal Process. 3(3): 252-281 (2012) - [c41]Bao Rong Chang, Hsiu Fen Tsai, Zih-Yao Lin, Chi-Ming Chen, Chien-Feng Huang:
Adaptive Performance for VVoIP Implementation in Cloud Computing Environment. ACIIDS (3) 2012: 356-365 - [c40]Bao Rong Chang, Hsiu Fen Tsai, Chi-Ming Chen, Zih-Yao Lin, Chien-Feng Huang:
Assessment of Hypervisor and Shared Storage for Cloud Computing Server. IBICA 2012: 67-72 - [c39]Chien-Feng Huang, Tsung-Nan Hsieh, Bao Rong Chang, Chih-Hsiang Chang:
A Comparative Study of Regression and Evolution-Based Stock Selection Models for Investor Sentiment. IBICA 2012: 73-78 - [c38]Bao Rong Chang, Hsiu Fen Tsai, Zih-Yao Lin, Chi-Ming Chen, Chien-Feng Huang:
Intelligent VVoIP implementation in UEC cloud computing. ICMLC 2012: 519-524 - [c37]Chien-Feng Huang, Chih-Hsiang Chang, Li-Min Kuo, Bo-Hau Lin, Tsung-Nan Hsieh, Bao Rong Chang:
A genetic-search model for first-day returns using IPO fundamentals. ICMLC 2012: 1662-1667 - 2011
- [j17]Bao Rong Chang, Hsiu Fen Tsai:
Timing of resources exploration in the behavior of firm - Empirical simulation by intelligent hybrid model. Appl. Soft Comput. 11(1): 1029-1035 (2011) - [j16]Bao Rong Chang, Chung-Ping Young, Hsiu Fen Tsai, Ren-Yang Fang:
Timed PR-SCTP for Fast Voice/Video over IP in Wired/Wireless Environments. J. Inf. Hiding Multim. Signal Process. 2(4): 320-331 (2011) - [j15]Chien-Feng Huang, Bao Rong Chang:
A Study of Probability Collectives Multi-agent Systems on Optimization and Robustness. Trans. Comput. Collect. Intell. 4: 141-159 (2011) - [c36]Chien-Feng Huang, Chih-Hsiang Chang, Bao Rong Chang, Dun-Wei Cheng:
A study of a hybrid evolutionary fuzzy model for stock selection. FUZZ-IEEE 2011: 210-217 - [c35]Bao Rong Chang, Hsiu Fen Tsai, Chien-Feng Huang, Zih-Yao Lin, Chi-Ming Chen:
Implementation of mobile video/voice over IP and access control on cloud computing. GrC 2011: 89-94 - [c34]Chien-Feng Huang, Chih-Hsiang Chang, Bao Rong Chang, Tsung-Nan Hsieh:
A genetic-based stock selection model using investor sentiment indicators. GrC 2011: 262-267 - [c33]Chien-Feng Huang, Tsung-Nan Hsieh, Bao Rong Chang, Chih-Hsiang Chang:
A comparative study of stock scoring using regression and genetic-based linear models. GrC 2011: 268-273 - [c32]Bao Rong Chang, Hsiu Fen Tsai, Chi-Ming Chen, Chien-Feng Huang:
Access Control of Cloud Computing Using Rapid Face and Fingerprint Identification. IBICA 2011: 179-182 - [c31]Bao Rong Chang, Hsiu Fen Tsai, Zih-Yao Lin, Chi-Ming Chen:
Access Security on Cloud Computing Implemented in Hadoop System. ICGEC 2011: 77-80 - [c30]Chien-Feng Huang, Bao Rong Chang, Dun-Wei Cheng:
Tracking extrema in dynamic environments using Probability Collectives Multi-agent Systems. ICMLC 2011: 33-39 - 2010
- [j14]Bao Rong Chang, Hsiu Fen Tsai, Chung-Ping Young:
Intelligent data fusion system for predicting vehicle collision warning using vision/GPS sensing. Expert Syst. Appl. 37(3): 2439-2450 (2010) - [c29]Chien-Feng Huang, Bao Rong Chang:
Adaptive Probabilistic Learning by Collectives in Dynamic Environments. GrC 2010: 229-234 - [c28]Bao Rong Chang, Hsiu Fen Tsai, Chien-Feng Huang, His-Chung Huang:
Private Small-Cloud Computing in Connection with WinCE Thin Client. ICCCI (2) 2010: 172-182 - [c27]Chien-Feng Huang, Bao Rong Chang:
Probability Collectives Multi-Agent Systems: A Study of Robustness in Search. ICCCI (2) 2010: 334-343
2000 – 2009
- 2009
- [j13]Bao Rong Chang, Hsiu Fen Tsai:
Quantum minimization for adapting ANFIS outputs to its nonlinear generalized autoregressive conditional heteroscedasticity. Appl. Intell. 31(1): 31-46 (2009) - [j12]Bao Rong Chang, Hsiu Fen Tsai:
Novel hybrid approach to data-packet-flow prediction for improving network traffic analysis. Appl. Soft Comput. 9(3): 1177-1183 (2009) - [j11]Bao Rong Chang, Hsiu Fen Tsai:
Nested local adiabatic evolution for quantum-neuron-based adaptive support vector regression and its forecasting applications. Expert Syst. Appl. 36(2): 3388-3400 (2009) - [j10]Bao Rong Chang, Hsiu Fen Tsai:
Improving network traffic analysis by foreseeing data-packet-flow with hybrid fuzzy-based model prediction. Expert Syst. Appl. 36(3): 6960-6965 (2009) - [j9]Bao Rong Chang, Hsiu Fen Tsai:
Quantum-minimized BWGC/NGARCH approach to financial time series forecast. Neurocomputing 72(10-12): 2525-2535 (2009) - [c26]Bao Rong Chang, Hsiu Fen Tsai, Chung-Ping Young:
A Fast and Effective Approach to Lane Marking and Neighboring Vehicles Detections Based on Vision/GPS Sensing Together with Vehicle-to-Vehicle Communication. HIS (1) 2009: 3-8 - [c25]Bao Rong Chang, Hsiu Fen Tsai:
Applying Visual Image and Satellite Positioning for Fast Vehicle Detection and Lane Marking Recognition. IIH-MSP 2009: 518-521 - 2008
- [j8]Bao Rong Chang, Hsiu Fen Tsai:
Forecast approach using neural network adaptation to support vector regression grey model and generalized auto-regressive conditional heteroscedasticity. Expert Syst. Appl. 34(2): 925-934 (2008) - [j7]Bao Rong Chang, Hsiu Fen Tsai, Chung-Ping Young:
Diversity of quantum optimizations for training adaptive support vector regression and its prediction applications. Expert Syst. Appl. 34(4): 2612-2621 (2008) - [j6]Hsiu Fen Tsai, Bao Rong Chang:
Timing of resources exploration in the behavior of firm - Innovative approach and empirical simulation. Expert Syst. Appl. 34(4): 2656-2663 (2008) - [j5]Bao Rong Chang:
Resolving the forecasting problems of overshoot and volatility clustering using ANFIS coupling nonlinear heteroscedasticity with quantum tuning. Fuzzy Sets Syst. 159(23): 3183-3200 (2008) - [c24]Bao Rong Chang, Chung-Ping Young, Hsiu Fen Tsai, Jian-Jr Lin:
Applying Embedded Hybrid ANFIS/Quantum-Tuned BPNN Prediction to Collision Warning System for Motor Vehicle Safety. ISDA (1) 2008: 3-8 - [c23]Chung-Ping Young, Bao Rong Chang, Jian-Jr Lin, Ren-Yang Fang:
Cooperative Collision Warning Based Highway Vehicle Accident Reconstruction. ISDA (1) 2008: 561-565 - 2007
- [j4]Bao Rong Chang, Hsiu Fen Tsai:
Composite of adaptive support vector regression and nonlinear conditional heteroscedasticity tuned by quantum minimization for forecasts. Appl. Intell. 27(3): 277-289 (2007) - [j3]Bao Rong Chang:
A Hybrid System ASVR/NGARCH Tuned by Quantum-Based Minimization to Improve Forecasting Accuracy. J. Adv. Comput. Intell. Intell. Informatics 11(4): 381-388 (2007) - [c22]Bao Rong Chang, Hsiu Fen Tsai:
Forecasting Approach Using Hybrid Model ASVR/NGARCH with Quantum Minimization. ICIC (2) 2007: 1265-1277 - [c21]Hsiu Fen Tsai, Bao Rong Chang:
Quantum Search Tuning ANFIS/NGARCH for Analysis of Timing of Resources Exploration In The Behavior of Firm. ICNC (5) 2007: 292-296 - [c20]Bao Rong Chang, Hsiu Fen Tsai:
Forecasting Typhoon Moving Path Using BPNN-Weighted Grey-C3LSP Tuned by Quantum-Neuron-Based Adaptive Support Vector Regression with Nested Local Adiabatic Evolution. IIH-MSP 2007: 3-6 - [c19]Bao Rong Chang, Hsiu Fen Tsai:
Performance Evaluation of Three Kinds of Quantum Optimization. ISICA 2007: 224-233 - [c18]Bao Rong Chang, Hsiu Fen Tsai:
Neuromorphic Quantum-Based Adaptive Support Vector Regression for Tuning BWGC/NGARCH Forecast Model. ISNN (3) 2007: 357-367 - 2006
- [j2]Bao Rong Chang:
Applying nonlinear generalized autoregressive conditional heteroscedasticity to compensate ANFIS outputs tuned by adaptive support vector regression. Fuzzy Sets Syst. 157(13): 1832-1850 (2006) - [c17]Bao Rong Chang:
Novel Prediction Approach - Quantum-Minimum Adaptation to ANFIS Outputs and Nonlinear Generalized Autoregressive Conditional Heteroscedasticity. FSKD 2006: 908-918 - [c16]Bao Rong Chang, Hsiu Fen Tsai:
Robust Forecasts by Composite Model ANFIS/NGARCH Tuned by Adaptive Support Vector Regression. FUZZ-IEEE 2006: 1512-1519 - [c15]Bao Rong Chang, Hsiu Fen Tsai, Shi-Huang Chen, Yu-Chang Chen, Yu-Kuo Tseng:
Regularizing BWGC/NGARCH Model by Quantum Minimization. ICICIC (2) 2006: 250-253 - [c14]Yu-Kuo Tseng, You-Yi Lu, Jen-Yi Huang, Wen-Shyong Hsieh, Bao Rong Chang, Yu-Chang Chen, Shi-Huang Chen:
ID-Based PPM for IP Traceback. ICICIC (2) 2006: 262-265 - [c13]Hsiu Fen Tsai, Bao Rong Chang:
Intelligence-Based Model to Timing Problem of Resources Exploration in the Behavior of Firm. ICONIP (3) 2006: 478-487 - [c12]Bao Rong Chang, Shi-Huang Chen, Hsiu Fen Tsai:
Forecasting the Flow of Data Packets for Website Traffic Analysis - ASVR-Tuned ANFIS/NGARCH Approach. ICONIP (2) 2006: 925-933 - [c11]Bao Rong Chang, Hsiu Fen Tsai:
Financial Prediction Applications Using Quantum-Minimized Composite Model ASVR/NGARCH. IJCNN 2006: 1247-1253 - [c10]Bao Rong Chang, Hsiu Fen Tsai:
New Approach to Financial Time Series Forecasting - Quantum Minimization Regularizing BWGC and NGARCH Composite Model. JCIS 2006 - 2005
- [j1]Bao Rong Chang:
Hybrid BPNN-Weighted Grey-CLSP Forecasting. J. Inf. Sci. Eng. 21(1): 209-221 (2005) - [c9]Bao Rong Chang:
Forecasting the Flow of Data Packets in Web Using ANFISCH Predictor Tuned by Segmented Adaptive Support Vector Regression. CIT 2005: 23-27 - 2004
- [c8]Bao Rong Chang:
Enhanced forecasting approach: an integration of NGARCH and hybrid BPNN-weighted grey-C3LSP. IJCNN 2004: 2747-2752 - [c7]Bao Rong Chang:
Tunable free parameters C and epsilon-tube in support vector regression for grey prediction model - SVRGM(1, 1|C, e) approach. SMC (3) 2004: 2431-2437 - 2003
- [c6]Bao Rong Chang:
A study of non-periodic short-term random walk forecasting based on RBFNN, ARMA, or SVR-GM(1,1|τ) approach. IJCNN 2003: 254-259 - [c5]Bao Rong Chang:
A tunable epsilon-tube in support vector regression for refining parameters of GM(1, 1 | τ) prediction model - SVRGM(1, 1 | τ) approach. SMC 2003: 4700-4704 - 2002
- [c4]Bao Rong Chang, Shiou Fen Tsai:
Forecasting non-periodic short-term time series-radial basis function neural network approach. SMC 2002: 4 - [c3]Bao Rong Chang, Shiou Fen Tsai:
A grey-cumulative LMS hybrid predictor with neural network based weighting for forecasting non-periodic short-term time series. SMC 2002: 5 - 2001
- [c2]Bao Rong Chang:
Applying energy transformation analysis to determine the weights of sequences. SMC 2001: 3134-3139 - [c1]Bao Rong Chang:
The optimization for sequences relational analysis. SMC 2001: 3146-3150
Coauthor Index
[j39] [c57] [j37] [j36] [j34] [j32] [j30] [j29] [j28] [c56] [c55] [j26] [j25] [c54] [c51] [c49] [j24] [j23] [j21] [c48] [c46] [c43] [j20] [c42] [j19] [c41] [c40] [c38] [j17] [j16] [c35] [c32] [c31] [j14] [c28] [j13] [j12] [j11] [j10] [j9] [c26] [c25] [j8] [j7] [j6] [c24] [j4] [c22] [c21] [c20] [c19] [c18] [c16] [c15] [c13] [c12] [c11] [c10]
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