Bao Rong Chang
Orcid: 0000-0002-0952-3591
According to our database1,
Bao Rong Chang
authored at least 96 papers
between 2001 and 2023.
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Bibliography
2023
Comput. Ind. Eng., June, 2023
Proceedings of the 8th International Conference on Cloud Computing and Internet of Things, 2023
2022
J. Digit. Imaging, 2022
2021
Applying Code Transform Model to Newly Generated Program for Improving Execution Performance.
Sci. Program., 2021
Int. J. Distributed Sens. Networks, 2021
2020
Autonomous self-evolving forecasting models for price movement in high frequency trading: Evidence from Taiwan.
Intell. Data Anal., 2020
2018
J. Netw. Intell., 2018
J. Inf. Hiding Multim. Signal Process., 2018
Applying intelligent data traffic adaptation to high-performance multiple big data analytics platforms.
Comput. Electr. Eng., 2018
2017
Sci. Program., 2017
2016
J. Inf. Hiding Multim. Signal Process., 2016
J. Inf. Hiding Multim. Signal Process., 2016
J. Adv. Comput. Intell. Intell. Informatics, 2016
Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2016
Proceedings of the IEEE Second International Conference on Multimedia Big Data, 2016
2015
Implementation of Secondary Index on Cloud Computing NoSQL Database in Big Data Environment.
Sci. Program., 2015
Empirical Analysis of High Efficient Remote Cloud Data Center Backup Using HBase and Cassandra.
Sci. Program., 2015
An Intelligent Model for Pairs Trading Using Genetic Algorithms.
Comput. Intell. Neurosci., 2015
Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2015
Proceedings of the 2015 International Conference on Image and Vision Computing New Zealand, 2015
Proceedings of the IEEE International Conference on Consumer Electronics - Taiwan, 2015
Proceedings of the IEEE International Conference on Consumer Electronics - Taiwan, 2015
Proceedings of the ASE BigData & SocialInformatics 2015, 2015
Intelligent Adaptation to in-Cloud NoSQL Database Remote Backup between Data Centers.
Proceedings of the ASE BigData & SocialInformatics 2015, 2015
2014
Applying authentication and network security to in-cloud enterprise resource planning system.
Vietnam. J. Comput. Sci., 2014
Pers. Ubiquitous Comput., 2014
High-Performed Virtualization Services for In-Cloud Enterprise Resource Planning System.
J. Inf. Hiding Multim. Signal Process., 2014
Int. J. Intell. Inf. Database Syst., 2014
High-Efficiency Remote Cloud Data Center Backup with Intelligent Parameter Adaptation.
Proceedings of the Technologies and Applications of Artificial Intelligence, 2014
Proceedings of the 29th International Conference on Image and Vision Computing New Zealand, 2014
Proceedings of the Intelligent Systems and Applications, 2014
Proceedings of the Intelligent Systems and Applications, 2014
Proceedings of the Intelligent Systems and Applications, 2014
High Availability and High Scalability to in-Cloud Enterprise Resource Planning System.
Proceedings of the Intelligent Data analysis and its Applications, Volume II, 2014
2013
Evaluation of Virtual Machine Performance and Virtualized Consolidation Ratio in Cloud Computing System.
J. Inf. Hiding Multim. Signal Process., 2013
Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2013
2012
J. Inf. Hiding Multim. Signal Process., 2012
Rapid Access Control on Ubuntu Cloud Computing with Facial Recognition and Fingerprint Identification.
J. Inf. Hiding Multim. Signal Process., 2012
Proceedings of the International Conference on Machine Learning and Cybernetics, 2012
Proceedings of the International Conference on Machine Learning and Cybernetics, 2012
A Comparative Study of Regression and Evolution-Based Stock Selection Models for Investor Sentiment.
Proceedings of the 2012 Third International Conference on Innovations in Bio-Inspired Computing and Applications, 2012
Proceedings of the 2012 Third International Conference on Innovations in Bio-Inspired Computing and Applications, 2012
Proceedings of the Intelligent Information and Database Systems - 4th Asian Conference, 2012
2011
A Study of Probability Collectives Multi-agent Systems on Optimization and Robustness.
Trans. Comput. Collect. Intell., 2011
J. Inf. Hiding Multim. Signal Process., 2011
Timing of resources exploration in the behavior of firm - Empirical simulation by intelligent hybrid model.
Appl. Soft Comput., 2011
Tracking extrema in dynamic environments using Probability Collectives Multi-agent Systems.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011
Proceedings of the Fifth International Conference on Genetic and Evolutionary Computing, 2011
Proceedings of the Second International Conference on Innovations in Bio-inspired Computing and Applications, 2011
A comparative study of stock scoring using regression and genetic-based linear models.
Proceedings of the 2011 IEEE International Conference on Granular Computing, 2011
Proceedings of the 2011 IEEE International Conference on Granular Computing, 2011
Proceedings of the 2011 IEEE International Conference on Granular Computing, 2011
Proceedings of the FUZZ-IEEE 2011, 2011
2010
Intelligent data fusion system for predicting vehicle collision warning using vision/GPS sensing.
Expert Syst. Appl., 2010
Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2010
Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2010
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010
2009
Neurocomputing, 2009
Improving network traffic analysis by foreseeing data-packet-flow with hybrid fuzzy-based model prediction.
Expert Syst. Appl., 2009
Nested local adiabatic evolution for quantum-neuron-based adaptive support vector regression and its forecasting applications.
Expert Syst. Appl., 2009
Novel hybrid approach to data-packet-flow prediction for improving network traffic analysis.
Appl. Soft Comput., 2009
Quantum minimization for adapting ANFIS outputs to its nonlinear generalized autoregressive conditional heteroscedasticity.
Appl. Intell., 2009
Applying Visual Image and Satellite Positioning for Fast Vehicle Detection and Lane Marking Recognition.
Proceedings of the Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2009), 2009
A Fast and Effective Approach to Lane Marking and Neighboring Vehicles Detections Based on Vision/GPS Sensing Together with Vehicle-to-Vehicle Communication.
Proceedings of the 9th International Conference on Hybrid Intelligent Systems (HIS 2009), 2009
2008
Resolving the forecasting problems of overshoot and volatility clustering using ANFIS coupling nonlinear heteroscedasticity with quantum tuning.
Fuzzy Sets Syst., 2008
Timing of resources exploration in the behavior of firm - Innovative approach and empirical simulation.
Expert Syst. Appl., 2008
Diversity of quantum optimizations for training adaptive support vector regression and its prediction applications.
Expert Syst. Appl., 2008
Forecast approach using neural network adaptation to support vector regression grey model and generalized auto-regressive conditional heteroscedasticity.
Expert Syst. Appl., 2008
Proceedings of the Eighth International Conference on Intelligent Systems Design and Applications, 2008
Applying Embedded Hybrid ANFIS/Quantum-Tuned BPNN Prediction to Collision Warning System for Motor Vehicle Safety.
Proceedings of the Eighth International Conference on Intelligent Systems Design and Applications, 2008
2007
A Hybrid System ASVR/NGARCH Tuned by Quantum-Based Minimization to Improve Forecasting Accuracy.
J. Adv. Comput. Intell. Intell. Informatics, 2007
Composite of adaptive support vector regression and nonlinear conditional heteroscedasticity tuned by quantum minimization for forecasts.
Appl. Intell., 2007
Neuromorphic Quantum-Based Adaptive Support Vector Regression for Tuning BWGC/NGARCH Forecast Model.
Proceedings of the Advances in Neural Networks, 2007
Proceedings of the Advances in Computation and Intelligence, 2007
Forecasting Typhoon Moving Path Using BPNN-Weighted Grey-C3LSP Tuned by Quantum-Neuron-Based Adaptive Support Vector Regression with Nested Local Adiabatic Evolution.
Proceedings of the 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007), 2007
Quantum Search Tuning ANFIS/NGARCH for Analysis of Timing of Resources Exploration In The Behavior of Firm.
Proceedings of the Third International Conference on Natural Computation, 2007
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2007
2006
Applying nonlinear generalized autoregressive conditional heteroscedasticity to compensate ANFIS outputs tuned by adaptive support vector regression.
Fuzzy Sets Syst., 2006
New Approach to Financial Time Series Forecasting - Quantum Minimization Regularizing BWGC and NGARCH Composite Model.
Proceedings of the 2006 Joint Conference on Information Sciences, 2006
Financial Prediction Applications Using Quantum-Minimized Composite Model ASVR/NGARCH.
Proceedings of the International Joint Conference on Neural Networks, 2006
Intelligence-Based Model to Timing Problem of Resources Exploration in the Behavior of Firm.
Proceedings of the Neural Information Processing, 13th International Conference, 2006
Forecasting the Flow of Data Packets for Website Traffic Analysis - ASVR-Tuned ANFIS/NGARCH Approach.
Proceedings of the Neural Information Processing, 13th International Conference, 2006
Proceedings of the First International Conference on Innovative Computing, Information and Control (ICICIC 2006), 30 August, 2006
Proceedings of the First International Conference on Innovative Computing, Information and Control (ICICIC 2006), 30 August, 2006
Robust Forecasts by Composite Model ANFIS/NGARCH Tuned by Adaptive Support Vector Regression.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006
Novel Prediction Approach - Quantum-Minimum Adaptation to ANFIS Outputs and Nonlinear Generalized Autoregressive Conditional Heteroscedasticity.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Third International Conference, 2006
2005
Forecasting the Flow of Data Packets in Web Using ANFISCH Predictor Tuned by Segmented Adaptive Support Vector Regression.
Proceedings of the Fifth International Conference on Computer and Information Technology (CIT 2005), 2005
2004
Tunable free parameters C and epsilon-tube in support vector regression for grey prediction model - SVRGM(1, 1|C, e) approach.
Proceedings of the IEEE International Conference on Systems, 2004
Enhanced forecasting approach: an integration of NGARCH and hybrid BPNN-weighted grey-C3LSP.
Proceedings of the IEEE International Joint Conference on Neural Networks, 2004
2003
A tunable epsilon-tube in support vector regression for refining parameters of GM(1, 1 | τ) prediction model - SVRGM(1, 1 | τ) approach.
Proceedings of the IEEE International Conference on Systems, 2003
A study of non-periodic short-term random walk forecasting based on RBFNN, ARMA, or SVR-GM(1,1|τ) approach.
Proceedings of the International Joint Conference on Neural Networks, 2003
2002
Forecasting non-periodic short-term time series-radial basis function neural network approach.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics: Bridging the Digital Divide, Yasmine Hammamet, Tunisia, October 6-9, 2002, 2002
A grey-cumulative LMS hybrid predictor with neural network based weighting for forecasting non-periodic short-term time series.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics: Bridging the Digital Divide, Yasmine Hammamet, Tunisia, October 6-9, 2002, 2002
2001
Proceedings of the IEEE International Conference on Systems, 2001
Proceedings of the IEEE International Conference on Systems, 2001