B. Chang

发表

Drone-Aided Path Planning for Unmanned Ground Vehicle Rapid Traversing Obstacle Area

B. Chang, H. Tsai, Jyong-Lin Lyu, 2022, Electronics.

Empirical Study of in-Cloud Enterprise Resource Planning System with Access Control Authentication

B. Chang, H. Tsai, Ju-Chun Cheng, 2014 .

Forecasting Typhoon Moving Path Using BPNN-Weighted Grey-C3LSP Tuned by Quantum-Neuron-Based Adaptive Support Vector Regression with Nested Local Adiabatic Evolution

B. Chang, H. Tsai, 2007 .

Performance Evaluation of Three Kinds of Quantum Optimization

Bao Rong Chang, Hsiu Fen Tsai, B. Chang, 2007, ISICA.

Tracking extrema in dynamic environments using Probability Collectives Multi-agent Systems

Bao Rong Chang, Chien-Feng Huang, Dun-Wei Cheng, 2011, 2011 International Conference on Machine Learning and Cybernetics.

A Study of Probability Collectives Multi-agent Systems on Optimization and Robustness

Bao Rong Chang, Chien-Feng Huang, Chien-Feng Huang, 2011, Trans. Comput. Collect. Intell..

Applying energy transformation analysis to determine the weights of sequences

Bao Rong Chang, B. Chang, 2001, 2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236).

An optimal grey relational measurement

Bao Rong Chang, B. Chang, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

Quantum-minimized BWGC/NGARCH approach to financial time series forecast

Bao Rong Chang, Hsiu Fen Tsai, B. Chang, 2009, Neurocomputing.

Composite of adaptive support vector regression and nonlinear conditional heteroscedasticity tuned by quantum minimization for forecasts

Bao Rong Chang, Hsiu Fen Tsai, B. Chang, 2007, Applied Intelligence.

Financial Prediction Applications Using Quantum-Minimized Composite Model ASVR/NGARCH

Bao Rong Chang, Hsiu Fen Tsai, B. Chang, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Novel hybrid approach to data-packet-flow prediction for improving network traffic analysis

Bao Rong Chang, Hsiu Fen Tsai, B. Chang, 2009, Appl. Soft Comput..

Diversity of quantum optimizations for training adaptive support vector regression and its prediction applications

Chung-Ping Young, Bao Rong Chang, Hsiu Fen Tsai, 2008, Expert Syst. Appl..

Forecasting Approach Using Hybrid Model ASVR/NGARCH with Quantum Minimization

Bao Rong Chang, Hsiu Fen Tsai, B. Chang, 2009, ICIC.

Neuromorphic Quantum-Based Adaptive Support Vector Regression for Tuning BWGC/NGARCH Forecast Model

Bao Rong Chang, Hsiu Fen Tsai, B. Chang, 2007, ISNN.

A Hybrid System ASVR/NGARCH Tuned by Quantum-Based Minimization to Improve Forecasting Accuracy

Bao Rong Chang, B. Chang, 2007, J. Adv. Comput. Intell. Intell. Informatics.

Probability Collectives Multi-Agent Systems: A Study of Robustness in Search

Bao Rong Chang, Chien-Feng Huang, Chien-Feng Huang, 2010, ICCCI.

New Approach to Financial Time Series Forecasting - Quantum Minimization Regularizing BWGC and NGARCH Composite Model

Bao Rong Chang, Hsiu Fen Tsai, B. Chang, 2006, JCIS.

A highway traffic simulator with Dedicated Short Range Communications based cooperative collision prediction and warning mechanism

Chung-Ping Young, Bao Rong Chang, Shiou-Yu Chen, 2008, 2008 IEEE Intelligent Vehicles Symposium.

Distributed sensing units deploying on group unmanned vehicles

Bao Rong Chang, Chien-Feng Huang, Hsiu-Fen Tsai, 2021, Int. J. Distributed Sens. Networks.

Forecasting the Flow of Data Packets for Website Traffic Analysis - ASVR-Tuned ANFIS/NGARCH Approach

Bao Rong Chang, Shi-Huang Chen, Hsiu Fen Tsai, 2006, ICONIP.

Timed PR-SCTP for Fast Voice/Video over IP in Wired/Wireless Environments

Bao Rong Chang, Chung-Ping Young, Hsiu Fen Tsai, 2011, J. Inf. Hiding Multim. Signal Process..

Feature Selection and Parameter Optimization of a Fuzzy-based Stock Selection Model Using Genetic Algorithms

Bao Rong Chang, Chih-Hsiang Chang, Chien-Feng Huang, 2012 .

Timing of resources exploration in the behavior of firm - Innovative approach and empirical simulation

Bao Rong Chang, Hsiu Fen Tsai, B. Chang, 2008, Expert Syst. Appl..

Resolving the forecasting problems of overshoot and volatility clustering using ANFIS coupling nonlinear heteroscedasticity with quantum tuning

Bao Rong Chang, B. Chang, 2008, Fuzzy Sets Syst..

Assimilation-accommodation mixed continuous ant colony optimization for fuzzy system design

Chien-Feng Huang, Chien-Feng Huang, B. Chang, 2016 .

Scheduling Optimization for Vector Graphics Acceleration on Multiprocessor Systems

Bao Rong Chang, Chung-Ping Young, Zhi Liang Qiu, 2012, J. Inf. Hiding Multim. Signal Process..

A genetic-based stock selection model using investor sentiment indicators

Bao Rong Chang, Chih-Hsiang Chang, Chien-Feng Huang, 2011, 2011 IEEE International Conference on Granular Computing.

A study of a hybrid evolutionary fuzzy model for stock selection

Bao Rong Chang, Chih-Hsiang Chang, Chien-Feng Huang, 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

Applying Intelligent Adaptation to Remote Cloud Datacenter Backup

Bao Rong Chang, Hsiu Fen Tsai, Cin-Long Guo, 2016, J. Adv. Comput. Intell. Intell. Informatics.

Intelligent Adaptation to in-Cloud NoSQL Database Remote Backup between Data Centers

Chin-Fu Kuo, Bao Rong Chang, Hsiu-Fen Tsai, 2015, ASE BD&SI.

Empirical Analysis of High Efficient Remote Cloud Data Center Backup Using HBase and Cassandra

Chia-Yen Chen, Bao Rong Chang, Hsiu Fen Tsai, 2015, Sci. Program..

An Intelligent Model for Pairs Trading Using Genetic Algorithms

Bao Rong Chang, Chien-Feng Huang, Chi-Chung Chen, 2015, Comput. Intell. Neurosci..

Intelligent data fusion system for predicting vehicle collision warning using vision/GPS sensing

Chung-Ping Young, Bao Rong Chang, Hsiu Fen Tsai, 2010, Expert Syst. Appl..

A comparative study of stock scoring using regression and genetic-based linear models

Bao Rong Chang, Chih-Hsiang Chang, Chien-Feng Huang, 2011, 2011 IEEE International Conference on Granular Computing.

Energy-efficient scheduling algorithm for real-time job set

Chin-Fu Kuo, Yung-Feng Lu, Bao-Rong Chang, 2016 .

Development of Multiple Big Data Analytics Platforms with Rapid Response

Bao Rong Chang, Po-Hao Liao, Yun-Da Lee, 2017, Sci. Program..

Development of multiple big data analysis platforms for business intelligence

Bao Rong Chang, Chien-Feng Huang, Yo-Ai Wang, 2017, 2017 International Conference on Applied System Innovation (ICASI).

Multiple big data processing platforms

Bao Rong Chang, Chien-Feng Huang, Hsiu Fen Tsai, 2016, 2016 Conference on Technologies and Applications of Artificial Intelligence (TAAI).

Development of Multiple Big Data Processing Platforms for Business Intelligence

Bao-Rong Chang, Yo-Ai Wang, B. Chang, 2018, J. Inf. Hiding Multim. Signal Process..

A genetic-search model for first-day returns using IPO fundamentals

Bao Rong Chang, Chih-Hsiang Chang, Chien-Feng Huang, 2012, 2012 International Conference on Machine Learning and Cybernetics.

Analysis of virtualized cloud server together with shared storage and estimation of consolidation ratio and TCO/ROI

Bao Rong Chang, Chi-Ming Chen, Chien-Feng Huang, 2014 .

Empirical Analysis of Server Consolidation and Desktop Virtualization in Cloud Computing

Bao Rong Chang, Chi-Ming Chen, Hsiu-Fen Tsai, 2013 .

Proceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems Intelligent Approach to Timing of Resources Exploration in the Behavior of Firm Using Armax, Bpnn, or Sasvr

Bao Rong Chang, Hsiu Fen Tsai, B. Chang, 2022 .

Improving network traffic analysis by foreseeing data-packet-flow with hybrid fuzzy-based model prediction

Bao Rong Chang, Hsiu Fen Tsai, B. Chang, 2009, Expert Syst. Appl..

Nested local adiabatic evolution for quantum-neuron-based adaptive support vector regression and its forecasting applications

Bao Rong Chang, Hsiu Fen Tsai, B. Chang, 2009, Expert Syst. Appl..

Robust Forecasts by Composite Model ANFIS/NGARCH Tuned by Adaptive Support Vector Regression

Bao Rong Chang, Hsiu Fen Tsai, B. Chang, 2006, 2006 IEEE International Conference on Fuzzy Systems.

Forecasting the Flow of Data Packets in Web Using ANFISCH Predictor Tuned by Segmented Adaptive Support Vector Regression

Bao Rong Chang, B. Chang, 2005, The Fifth International Conference on Computer and Information Technology (CIT'05).

A Hybrid Method Composed of SVRGM ( 1 , 1 | C , ε ) and GARCH ( p , q ) for Forecasting Complex Time Series

B. Chang, S. F. Tsai, 2004 .

Detection and Prediction of Chipping in Wafer Grinding Based on Dicing Signal

B. Chang, H. Tsai, Hsiang-Yu Mo, 2022, Mathematics.

Quantum Search Tuning ANFIS/NGARCH for Analysis of Timing of Resources Exploration In The Behavior of Firm

Bao Rong Chang, Hsiu Fen Tsai, B. Chang, 2007, Third International Conference on Natural Computation (ICNC 2007).

Intelligence-Based Model to Timing Problem of Resources Exploration in the Behavior of Firm

Bao Rong Chang, Hsiu Fen Tsai, B. Chang, 2006, ICONIP.

Enhanced forecasting approach: an integration of NGARCH and hybrid BPNN-weighted grey-C3LSP

B. Chang, 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

Timing of resources exploration in the behavior of firm - Empirical simulation by intelligent hybrid model

Bao Rong Chang, Hsiu Fen Tsai, B. Chang, 2011, Appl. Soft Comput..

AN INTELLIGENT PREDICTION METHOD FOR SHORT-TERM TIME SERIES FORECAST ON ENGINEERING EDUCATION

Bao Rong Chang, Shiou Fen Tsai, B. Chang, 2002 .

A Comparative Study of Regression and Evolution-Based Stock Selection Models for Investor Sentiment

Bao Rong Chang, Chih-Hsiang Chang, Chien-Feng Huang, 2012, 2012 Third International Conference on Innovations in Bio-Inspired Computing and Applications.

Access Security on Cloud Computing Implemented in Hadoop System

Bao Rong Chang, Chi-Ming Chen, Hsiu Fen Tsai, 2011, 2011 Fifth International Conference on Genetic and Evolutionary Computing.

Accelerating the Response of Self-Driving Control by Using Rapid Object Detection and Steering Angle Prediction

B. Chang, H. Tsai, Chia-Wei Hsieh, 2023, Electronics.

Efficient Allocation Algorithm for Virtual Machines in Cloud Computing Systems

Chin-Fu Kuo, Yung-Feng Lu, Bao-Rong Chang, 2015, ASE BD&SI.

A study of risk-adjusted stock selection models using genetic algorithms

Bao Rong Chang, Chih-Hsiang Chang, Chien-Feng Huang, 2014 .

A study of hybrid genetic-fuzzy models for IPO stock selection

Bao Rong Chang, Chien-Feng Huang, Tsung-Nan Hsieh, 2012, 2012 International conference on Fuzzy Theory and Its Applications (iFUZZY2012).