H. Tsai

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 .

Novel Approaches to Pervasive Applications Nested Local Adiabatic Evolution for Quantum-Neuron-Based Adaptive Support Vector Regression and Its Application

C. Young, H. Tsai, B. Chang, 2007, Second International Conference on Innovative Computing, Informatio and Control (ICICIC 2007).

Performance Evaluation of Three Kinds of Quantum Optimization

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

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.

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.

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..

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..

Risk–return paradox? The moderating effects of risk-taking capabilities

S. Fang, H. Tsai, 2023, Management Decision.

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..

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..

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).

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.

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

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

What Makes Firms Embrace Risks? A Risk-Taking Capability Perspective

Hsiu-FenTsai, Chin-jung Luan, H. Tsai, 2016 .

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.

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..

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.