Andrew H. Sung

Andrew H. Sung, Md. Shohel Rana, M. Rana, 2020, 2020 7th IEEE International Conference on Cyber Security and Cloud Computing (CSCloud)/2020 6th IEEE International Conference on Edge Computing and Scalable Cloud (EdgeCom).

Monitoring System Security Using Neural Networks and Support Vector Machines

Andrew H. Sung, Srinivas Mukkamala, Guadalupe I. Janoski, 2001, HIS.

Hybrid multi-agent framework for detection of stealthy probes

Andrew H. Sung, Ajith Abraham, Srinivas Mukkamala, 2007, Appl. Soft Comput..

Monitoring Information System Security

Andrew H. Sung, Srinivas Mukkamala, Guadalupe I. Janoski, 2001 .

Economical large scale simulation

Andrew H. Sung, Guadalupe I. Janoski, 2001, 2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236).

Improving database quality through eliminating duplicate records

Andrew H. Sung, Mingzhen Wei, Martha E. Cather, 2006, Data Sci. J..

Ranking input importance in neural network modeling of engineering problems

Andrew H. Sung, A. Sung, 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).

Detecting Hidden Information in the Wavelet Domain

Qingzhong Liu, Andrew H. Sung, Jianyun Xu, 2004, CISST.

An improved approach to steganalysis of JPEG images

Qingzhong Liu, Andrew H. Sung, Bernardete Ribeiro, 2010, Inf. Sci..

A Method to Detect JPEG-Based Double Compression

Qingzhong Liu, Andrew H. Sung, Mengyu Qiao, 2011, ISNN.

Testing shared-memory parallel programs

Andrew H. Sung, 1988, Proceedings., 2nd Symposium on the Frontiers of Massively Parallel Computation.

An ART network with fuzzy control for image data compression

Andrew H. Sung, C. J. Wu, Hamdy Soliman, 1994, Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference.

A JPEG-based statistically invisible steganography

Qingzhong Liu, Andrew H. Sung, Xudong Huang, 2011, ICIMCS '11.

Preserving visual perception by learning natural clustering

Andrew H. Sung, Hamdy Soliman, W. Chang, 1993, IEEE International Conference on Neural Networks.

Online Fraud Detection System Based on Non-Stationery Anomaly Detection

Qingzhong Liu, Andrew H. Sung, Jianyun Xu, 2005, Security and Management.

Computational Intelligent Techniques for Detecting Denial of Service Attacks

Andrew H. Sung, Srinivas Mukkamala, A. Sung, 2004, IEA/AIE.

Performance comparison of MOI and COA in the application of image library indices

Andrew H. Sung, C. J. Wu, 1996, Proceedings of IEEE 5th International Fuzzy Systems.

Integrating energy efficiency and security for storage systems

Xiao Qin, Andrew H. Sung, Srinivas Mukkamala, 2008, 2008 IEEE International Conference on Systems, Man and Cybernetics.

JPEG compression immune steganography using wavelet transform

Qingzhong Liu, Andrew H. Sung, Peipei Shi, 2004, International Conference on Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004..

Predicting injection profiles using ANFIS

Qingzhong Liu, Andrew H. Sung, Mingzhen Wei, 2007, Inf. Sci..

Comparison of Neural Networks and Support Vector Machines in Intrusion Detection

Andrew H. Sung, Srinivas Mukkamala, A. Sung, 2002 .

Web site visitor classiflcation using machine learning

Andrew H. Sung, Srinivas Mukkamala, Patrick Defibaugh-Chavez, 2004, Fourth International Conference on Hybrid Intelligent Systems (HIS'04).

A Comparision of Soft Computing Methods for Reservoir Simulation

Andrew H. Sung, Srinivas Mukkamala, Guadalupe I. Janoski, 2002 .

The Critical Feature Dimension and Critical Sampling Problems

Andrew H. Sung, Bernardete Ribeiro, Ram B. Basnet, 2015, ICPRAM.

Novel stream mining for audio steganalysis

Qingzhong Liu, Andrew H. Sung, Mengyu Qiao, 2009, MM '09.

A Methodology to Discover Contaminated Data in Spatial Databases

Andrew H. Sung, Mingzhen Wei, Cather Martha, 2004 .

Merging Permission and API Features for Android Malware Detection

Qingzhong Liu, Andrew H. Sung, Mengyu Qiao, 2016, 2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI).

Information Diffusion on Twitter: Pattern Recognition and Prediction of Volume, Sentiment, and Influence

Andrew H. Sung, Trung T. Nguyen, Amartya Hatua, 2017, BDCAT.

A Novel Touchscreen-Based Authentication Scheme Using Static and Dynamic Hand Biometrics

Qingzhong Liu, Andrew H. Sung, Mengyu Qiao, 2015, 2015 IEEE 39th Annual Computer Software and Applications Conference.

A Method to Detect AAC Audio Forgery

Jing Zhang, Ming Yang, Qingzhong Liu, 2015, EAI Endorsed Trans. Security Safety.

Identifying Significant Features for Network Forensic Analysis Using Artificial Intelligence Techniques

Andrew H. Sung, Srinivas Mukkamala, A. Sung, 2003, Int. J. Digit. EVid..

Revealing real quality of double compressed MP3 audio

Qingzhong Liu, Andrew H. Sung, Mengyu Qiao, 2010, ACM Multimedia.

Mining Web to Detect Phishing URLs

Andrew H. Sung, Ram B. Basnet, A. Sung, 2012, 2012 11th International Conference on Machine Learning and Applications.

Applications of soft computing in petroleum engineering

Andrew H. Sung, 1999, Optics + Photonics.

Video Steganalysis Based on the Expanded Markov and Joint Distribution on the Transform Domains Detecting MSU StegoVideo

Qingzhong Liu, Andrew H. Sung, Mengyu Qiao, 2008, 2008 Seventh International Conference on Machine Learning and Applications.

Image complexity and feature mining for steganalysis of least significant bit matching steganography

Qingzhong Liu, Andrew H. Sung, Bernardete Ribeiro, 2008, Inf. Sci..

Steganalysis of multi-class JPEG images based on expanded Markov features and polynomial fitting

Qingzhong Liu, Andrew H. Sung, Bernardete Ribeiro, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Neighboring joint density-based JPEG steganalysis

Qingzhong Liu, Andrew H. Sung, Mengyu Qiao, 2011, TIST.

Alternate Methods in Reservoir Simulation

Andrew H. Sung, Guadalupe I. Janoski, A. Sung, 2001, International Conference on Computational Science.

Detection of Virtual Environments and Low Interaction Honeypots

Andrew H. Sung, Srinivas Mukkamala, Ram B. Basnet, 2007 .

Image Complexity and Feature Extraction for Steganalysis of LSB Matching Steganography

Qingzhong Liu, Andrew H. Sung, Bernardete Ribeiro, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

A new approach for JPEG resize and image splicing detection

Qingzhong Liu, Andrew H. Sung, A. Sung, 2009, MiFor '09.

Comparison of Gene Selection and Machine Learning for Tumor Classification

Qingzhong Liu, Andrew H. Sung, Bernardete Ribeiro, 2016 .

Critical Dimension in Data Mining

Qingzhong Liu, Andrew H. Sung, Divya Suryakumar, 2012 .

Fingerprint image compression by a clustering learning network

Andrew H. Sung, Willie Chang, Hamdy S. Soliman, 1994, IEA/AIE '94.

Andrew H. Sung, Bernardete Ribeiro, Srinivas Mukkamala, 2008 .

SQL infections through RFID

Andrew H. Sung, Srinivas Mukkamala, Anthonius Sulaiman, 2007, Journal in Computer Virology.

Solving nonlinear engineering problems with the aid of neural networks

Andrew H. Sung, Shih-Hsien Chang, Reid B. Grigg, 1999, Optics + Photonics.

Cumulative Training and Transfer Learning for Multi-Robots Collision-Free Navigation Problems

Andrew H. Sung, Amartya Hatua, Trung T. Nguyen, 2019, 2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON).

Modeling intrusion detection systems using linear genetic programming approach

Andrew H. Sung, Ajith Abraham, Srinivas Mukkamala, 2004 .

Detecting Coordinated Distributed Multiple Attacks

Andrew H. Sung, Srinivas Mukkamala, Ram B. Basnet, 2007, 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07).

Learning to Detect Phishing Webpages

Andrew H. Sung, Ram B. Basnet, A. Sung, 2014, J. Internet Serv. Inf. Secur..

Feature Selection for Intrusion Detection with Neural Networks and Support Vector Machines

Andrew H. Sung, Srinivas Mukkamala, A. Sung, 2003 .

Predicting embedding strength in audio steganography

Qingzhong Liu, Andrew H. Sung, Mengyu Qiao, 2010, 9th IEEE International Conference on Cognitive Informatics (ICCI'10).

Dependance of critical dimension on learning machines and ranking methods

Qingzhong Liu, Andrew H. Sung, Divya Suryakumar, 2012, 2012 IEEE 13th International Conference on Information Reuse & Integration (IRI).

Disassembled code analyzer for malware (DCAM)

Andrew H. Sung, Srinivas Mukkamala, K. Ramamoorthy, 2005, IRI -2005 IEEE International Conference on Information Reuse and Integration, Conf, 2005..

Distributed Multi-Intelligent Agent Framework for Detection of Stealthy Probes

Andrew H. Sung, Ajith Abraham, Srinivas Mukkamala, 2003, HIS.

Knowledge Required for Detecting and Defending against Denial of Service Attacks

Andrew H. Sung, Srinivas Mukkamala, S. Ramamoorthy, 2007 .

Mining Audit Data for Intrusion Detection Systems Using Support Vector Machines and Neural Networks

Andrew H. Sung, Srinivas Mukkamala, Ramamoorthy Subbureddiar, 2007 .

Evaluating Machine Learning Models for Android Malware Detection: A Comparison Study

Andrew H. Sung, Md. Shohel Rana, Charan Gudla, 2018, ICNCC.

Knowledge Based Discovery of Phishing Attacks

Andrew H. Sung, Srinivas Mukkamala, Tenzin Doleck, 2007, IICAI.

Detect JPEG Steganography Using Polynomial Fitting

Qingzhong Liu, Andrew H. Sung, Jianyun Xu, 2006 .

Performance comparison of the MOI, the COA, and the MOM methods in the application of JPEG

Andrew H. Sung, C. J. Wu, 1995, 1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century.

Advances Reservoir Simulation Using Soft Computing

Andrew H. Sung, Shih-Hsien Chang, Reid B. Grigg, 2000, IEA/AIE.

Detect Data Quality Problems In Large Data Sets By Mining Approximate Dependencies

Andrew H. Sung, Mingzhen Wei, D. Zhu, 2005 .

Feature Mining and Intelligent Computing for MP3 Steganalysis

Qingzhong Liu, Andrew H. Sung, Mengyu Qiao, 2009, 2009 International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing.

The Feature Selection and Intrusion Detection Problems

Andrew H. Sung, Srinivas Mukkamala, A. Sung, 2004, ASIAN.

Boosting RVM Classifiers for Large Data Sets

Andrew H. Sung, Bernardete Ribeiro, Catarina Silva, 2007, ICANNGA.

Dialogue Generation Using Self-Attention Generative Adversarial Network

Andrew H. Sung, Amartya Hatua, Trung T. Nguyen, 2019, 2019 IEEE International Conference on Conversational Data & Knowledge Engineering (CDKE).

Statistical Correlations and Machine Learning for Steganalysis

Qingzhong Liu, Andrew H. Sung, Bernardete Ribeiro, 2005 .

Static analyzer of vicious executables (SAVE)

Andrew H. Sung, Srinivas Mukkamala, Jianyun Xu, 2004, 20th Annual Computer Security Applications Conference.

Finding the Critical Sampling of Big Datasets

Andrew H. Sung, Bernardete Ribeiro, José Silva, 2017, Conf. Computing Frontiers.

Blockchain Approach to Solve Collective Decision Making Problems for Swarm Robotics

Andrew H. Sung, Trung T. Nguyen, Amartya Hatua, 2019, BLOCKCHAIN.

Computational intelligent techniques for detecting denial of service attacks

Andrew H. Sung, Srinivas Mukkamala, 2004 .

Goal-Oriented Conversational System Using Transfer Learning and Attention Mechanism

Andrew H. Sung, Amartya Hatua, Trung T. Nguyen, 2019, 2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON).

A Fuzzy Inference Algorithm for Lithology Analysis in Formation Evaluation

Andrew H. Sung, Fangsheng Li, Hujun Li, 2000, IEA/AIE.

Exposing Image Tampering with the Same Quantization Matrix

Qingzhong Liu, Andrew H. Sung, Lei Chen, 2015, Multimedia Data Mining and Analytics.

Sampling and Evaluating the Big Data for Knowledge Discovery

Qingzhong Liu, Andrew H. Sung, Bernardete Ribeiro, 2016, IoTBD.

A comparative study of techniques for intrusion detection

Andrew H. Sung, Srinivas Mukkamala, A. Sung, 2003, Proceedings. 15th IEEE International Conference on Tools with Artificial Intelligence.

Image data compression using counterpropagation network

Andrew H. Sung, Hamdy Soliman, W. Chang, 1992, [Proceedings] 1992 IEEE International Conference on Systems, Man, and Cybernetics.

Feature Mining and Pattern Recognition in Multimedia Forensics—Detection of JPEG Image Based Steganography, Double-Compression, Interpolation and WAV Audio Based Steganography

Qingzhong Liu, Andrew H. Sung, Mengyu Qiao, 2011 .

Detection of Phishing Attacks: A Machine Learning Approach

Andrew H. Sung, Srinivas Mukkamala, Ram B. Basnet, 2008, Soft Computing Applications in Industry.

Smartphone Sensor-Based Activity Recognition by Using Machine Learning and Deep Learning Algorithms

Qingzhong Liu, Andrew H. Sung, Mengyu Qiao, 2018 .

An Approach for Pattern Recognition and Prediction of Information Diffusion Model on Twitter

Andrew H. Sung, Trung T. Nguyen, Amartya Hatua, 2018 .

A New Domain-Independent Field Matching Algorithm for Large Databases

Andrew H. Sung, Mingzhen Wei, Martha E. Cather, 2005, DMIN.

Temporal Derivative-Based Spectrum and Mel-Cepstrum Audio Steganalysis

Qingzhong Liu, Andrew H. Sung, Mengyu Qiao, 2009, IEEE Transactions on Information Forensics and Security.

Efficacy of Coordinated Distributed Multiple Attacks (A Proactive Approach to Cyber Defense)

Andrew H. Sung, Srinivas Mukkamala, Patrick Defibaugh-Chavez, 2006, 20th International Conference on Advanced Information Networking and Applications - Volume 1 (AINA'06).

A vector quantization neural network to compress still monochromatic images

Andrew H. Sung, Hamdy Soliman, W. Chang, 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

Microarray Gene Expression Classification Based on Supervised Learning and Similarity Measures

Qingzhong Liu, Andrew H. Sung, Jianzhong Liu, 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.

RFID malware fragmentation attacks

Andrew H. Sung, Srinivas Mukkamala, Madhu K. Shankarapani, 2008, 2008 International Symposium on Collaborative Technologies and Systems.

Fraud Detection System Based on Behavior Mining and Anomaly Detection

Qingzhong Liu, Andrew H. Sung, Srinivas Mukkamala, 2005, IICAI.

Identifying key features for intrusion detection using neural networks

Andrew H. Sung, Srinivas Mukkamala, 2002 .

Malware Analysis on Android Using Supervised Machine Learning Techniques

Andrew H. Sung, Md. Shohel Rana, 2018 .

A Novel Approach for Detection of Copy-Move Forgery

Qingzhong Liu, Andrew H. Sung, Mengyu Qiao, 2011 .

Intrusion Detection Based on Behavior Mining and Machine Learning Techniques

Andrew H. Sung, Srinivas Mukkamala, Dennis Xu, 2006, IEA/AIE.

Distance Metric Learning and Support Vector Machines for Classification of Mass Spectrometry Proteomics Data

Qingzhong Liu, Andrew H. Sung, Mengyu Qiao, 2008, 2008 Seventh International Conference on Machine Learning and Applications.

Estimating Monthly Production of Oil Wells

Andrew H. Sung, Srinivas Mukkamala, R. S. Balch, 2007, IFSA.

Artificial intelligent techniques for intrusion detection

Andrew H. Sung, Srinivas Mukkamala, 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

User Level Multi-feed Weighted Topic Embeddings for Studying Network Interaction in Twitter

Andrew H. Sung, Trung T. Nguyen, Amartya Hatua, 2019, BigData.

Distance Metric Learning and Support Vector Machines for Classification of Mass Spectrometry Proteomics Data

Qingzhong Liu, Andrew H. Sung, Mengyu Qiao, 2008, ICMLA.

Role of Soft Computing in Internet Security

Andrew H. Sung, A. Sung, 2002, HIS.

SAREC: a security-aware scheduling strategy for real-time applications on clusters

Xiao Qin, Andrew H. Sung, Tao Xie, 2005, 2005 International Conference on Parallel Processing (ICPP'05).

Critical Feature Selection and Critical Sampling for Data Mining

Andrew H. Sung, Divya Suryakumar, Bernardete Ribeiro, 2017 .

Dynamic task scheduling with security awareness in real-time systems

Xiao Qin, Andrew H. Sung, Tao Xie, 2005, 19th IEEE International Parallel and Distributed Processing Symposium.

Using Expanded Markov Process and Joint Distribution Features for JPEG Steganalysis

Qingzhong Liu, Andrew H. Sung, Bernardete Ribeiro, 2009, ICAART.

Intrusion Detection Using Ensemble of Soft Computing and Hard Computing Paradigms

Andrew H. Sung, Ajith Abraham, Srinivas Mukkamala, 2005 .

Detecting denial of service attacks using support vector machines

Andrew H. Sung, Srinivas Mukkamala, 2003, The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03..

Classifying Phishing Emails Using Confidence-Weighted Linear Classifiers

Andrew H. Sung, Ram B. Basnet, 2010 .

Feature mining and pattern classification for steganalysis of LSB matching steganography in grayscale images

Qingzhong Liu, Andrew H. Sung, Zhongxue Chen, 2008, Pattern Recognit..

Evaluating Machine Learning Models on the Ethereum Blockchain for Android Malware Detection

Andrew H. Sung, Md. Shohel Rana, Charan Gudla, 2019 .

Influence of Machine Learning vs. Ranking Algorithm on the Critical Dimension

Qingzhong Liu, Andrew H. Sung, Divya Suryakumar, 2013 .

Improved detection and evaluation for JPEG steganalysis

Qingzhong Liu, Andrew H. Sung, Mengyu Qiao, 2009, ACM Multimedia.

Evaluation of Advanced Ensemble Learning Techniques for Android Malware Detection

Andrew H. Sung, Md. Shohel Rana, M. Rana, 2020, Vietnam. J. Comput. Sci..

Computational Intelligent Techniques for Financial Distress Detection

Andrew H. Sung, Bernardete Ribeiro, Srinivas Mukkamala, 2006 .

Feature Ranking and Selection for Intrusion Detection Using Artificial Neural Networks and Statistical Methods

Andrew H. Sung, Srinivas Mukkamala, Ashwin Tamilarasan, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Feature Selection for Improved Phishing Detection

Qingzhong Liu, Andrew H. Sung, Ram B. Basnet, 2012, IEA/AIE.

Improved detection of MP3 double compression using content-independent features

Qingzhong Liu, Andrew H. Sung, Mengyu Qiao, 2013, 2013 IEEE International Conference on Signal Processing, Communication and Computing (ICSPCC 2013).

Building resilient classifiers for LSB matching steganography

Qingzhong Liu, Andrew H. Sung, Bernardete Ribeiro, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Gene Selection for Tumor Classification Using Microarray Gene Expression Data

Andrew H. Sung, Srinivas Mukkamala, Ram B. Basnet, 2007, World Congress on Engineering.

Modeling Intrusion Detection Systems Using Linear Genetic Programming Approach

Andrew H. Sung, Ajith Abraham, Srinivas Mukkamala, 2004, IEA/AIE.

Building a Learning Machine Classifier With Inadequate Data for Crime Prediction

Andrew H. Sung, Trung T. Nguyen, Amartya Hatua, 2017 .

Model evaluation of datasets using critical dimension model invariants

Qingzhong Liu, Andrew H. Sung, Divya Suryakumar, 2012, 2012 12th International Conference on Intelligent Systems Design and Applications (ISDA).

Neural networks as an aid to iterative optimization methods

Andrew H. Sung, William W. Weiss, H. J. Li, 1998, SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218).

Defeating the current steganalysis techniques (robust steganography)

Andrew H. Sung, Srinivas Mukkamala, Gopalakrishna Reddy Tadiparthi, 2004, International Conference on Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004..

Detection of Double MP3 Compression

Qingzhong Liu, Andrew H. Sung, Mengyu Qiao, 2010, Cognitive Computation.

How the Tables Have Turned: Studying the New Wave of Social Bots on Twitter Using Complex Network Analysis Techniques

Andrew H. Sung, Amartya Hatua, Pujan Paudel, 2019, 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Intrusion detection using an ensemble of intelligent paradigms

Andrew H. Sung, Ajith Abraham, Srinivas Mukkamala, 2005, J. Netw. Comput. Appl..

Intrusion Detection Systems Using Adaptive Regression Splines

Andrew H. Sung, Ajith Abraham, Srinivas Mukkamala, 2004, ICEIS.

Locating Information-hiding in MP3 Audio

Qingzhong Liu, Andrew H. Sung, Bernardete Ribeiro, 2011, ICAART.

Translation Based Arabic Text Categorization

Andrew H. Sung, Bernardete Ribeiro, Srinivas Mukkamala, 2008 .

Real-time scheduling with quality of security constraints

Xiao Qin, Andrew H. Sung, Laurence T. Yang, 2006, Int. J. High Perform. Comput. Netw..

Derivative-based audio steganalysis

Qingzhong Liu, Andrew H. Sung, Mengyu Qiao, 2011, TOMCCAP.

Biased Support Vector Machines and Kernel Methods for Intrusion Detection

Andrew H. Sung, Bernardete Ribeiro, Srinivas Mukkamala, 2007, World Congress on Engineering.

Intrusion detection using neural networks and support vector machines

Andrew H. Sung, Srinivas Mukkamala, Guadalupe I. Janoski, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Evaluation of Tree Based Machine Learning Classifiers for Android Malware Detection

Andrew H. Sung, Sheikh Shah Mohammad Motiur Rahman, Md. Shohel Rana, 2018, ICCCI.

Mining the Big Data: The Critical Feature Dimension Problem

Qingzhong Liu, Andrew H. Sung, Bernardete Ribeiro, 2014, 2014 IIAI 3rd International Conference on Advanced Applied Informatics.

The application of fuzzy logic to JPEG

Andrew H. Sung, C. J. Wu, A. Sung, 1994 .

Translation Based Foreign Language Text Categorization

Andrew H. Sung, Srinivas Mukkamala, Ram Basnet, 2011 .

Modeling Intrusion Detection System by Optimized Selection of ANN Training Algorithms

Andrew H. Sung, A. Sung, 2008 .

Computational Intelligent Techniques for Tumor Classification ( Using Microarray Gene Expression Data )

Qingzhong Liu, Andrew H. Sung, Srinivas Mukkamala, 2005 .