Hai V. Pham

发表

Challenges and Opportunities for the Future of iCampuses

Craig Chapman, Andrew M. Thomas, Hanifa Shah, 2013, Comput. Sci..

Situational Awareness for Enhanced Patient Management

Leonard Barolli, Andrew M. Thomas, Philip Moore, 2013, 2013 Seventh International Conference on Complex, Intelligent, and Software Intensive Systems.

Enhancement of Convolutional Neural Networks Classifier Performance in the Classification of IoT Big Data

Hai V. Pham, Eloanyi Samson Amaechi, 2020, ICMLSC.

JUSTIN: An Audience Participation Game With A Purpose for Collecting Descriptions for Artwork Images

Pujana Paliyawan, Hai V. Pham, Ruck Thawonmas, 2020, 2020 IEEE Conference on Games (CoG).

A Proposal of a Model Using Kansei Evaluation Integrated with Fuzzy Rules and Self-Organizing Map for Evaluation of Bio-Food Products

Hai V. Pham, Khang Dinh Tran, 2015, IWOST-1.

FOG Computing and Low Latency Context-Aware Health Monitoring in Smart Interconnected Environments

Philip Moore, Hai V. Pham, H. Pham, 2018, EIDWT.

On Context and the Open World Assumption

Philip Moore, Hai V. Pham, H. Pham, 2015, 2015 IEEE 29th International Conference on Advanced Information Networking and Applications Workshops.

A New Approach Using Dynamic Group Decision Making for Selection of Multiple Alternatives Under Risk and Uncertainty

Hai V. Pham, Eric W. Cooper, Katsuari Kamei, 2011, 2011 Third International Conference on Knowledge and Systems Engineering.

Towards Integrating Emotion into Intelligent Context

Philip Moore, Cain Evans, Hai V. Pham, 2011, WISE Workshops.

A new method using knowledge reasoning techniques for improving robot performance in coverage path planning

Hai V. Pham, Trung Ngo Lam, 2019, Int. J. Comput. Appl. Technol..

Human Reasoning Awareness Quantified by Self-Organizing Map Using Collaborative Decision Making for Multiple Investment Models

Hai V. Pham, Eric W. Cooper, Katsuari Kamei, 2011, 2011 International Conference on Complex, Intelligent, and Software Intensive Systems.

Personalized Intelligent Context-Aware E-Learning on Demand

Philip Moore, Hai V. Pham, 2012, 2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems.

Personalization and rule strategies in data-intensive intelligent context-aware systems

Hai V. Pham, Philip T. Moore, H. Pham, 2015, The Knowledge Engineering Review.

Using GWAP to Generate Informative Descriptions for Artwork Images on a Live Streaming Platform

Pujana Paliyawan, Tomohiro Harada, Hai V. Pham, 2019, 2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia).

On Context-Aware Evidence-Based Data Driven Development of Diagnostic Scales for Depression

Philip Moore, Hai V. Pham, H. Pham, 2017, CISIS.

A Novel Approach using Context Matching Algorithm and Knowledge Inference for User Identification in Social Networks

Hai V. Pham, Van Thai Nguyen, 2020, ICMLSC.

Smart care spaces: needs for intelligent at-home care

Fatos Xhafa, Craig Chapman, Andrew M. Thomas, 2013, Int. J. Space Based Situated Comput..

Intelligent Context with Decision Support under Uncertainty

Philip Moore, Hai V. Pham, 2012, 2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems.

Predicting Intelligence Using Hybrid Artificial Neural Networks in Context-Aware Tunneling Systems under Risk and Uncertain Geological Environment

Philip Moore, Hai V. Pham, 2012, 2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems.

Challenges and Opportunities for the Future of iCampuses

Craig Chapman, Andrew M. Thomas, Hanifa Shah, 2013, Comput. Sci..

Hybrid Kansei-SOM model using risk management and company assessment for stock trading

Hai V. Pham, Eric W. Cooper, Katsuari Kamei, 2014, Inf. Sci..

Local Derivative-Free Parallel Computing Method for Solving the Inverse Problem in Groundwater Modeling

Hai V. Pham, F. T. Tsai, A. S. Elshall, 2012 .

Hybrid Artificial Neural Networks for TBM performance prediction in complex underground conditions

Hai V. Pham, Fujita Yuji, Katsurari Kamei, 2011, 2011 IEEE/SICE International Symposium on System Integration (SII).

A Proposal for Information Systems Security Monitoring Based on Large Datasets

Philip Moore, Hai V. Pham, H. Pham, 2018, Int. J. Distributed Syst. Technol..

A Proposal of Deep Learning Model for Classifying User Interests on Social Networks

Hai V. Pham, Dinh Xuan Truong, 2020, ICMLSC.

Parallel Inverse Modeling and Uncertainty Quantification for Computationally Demanding Groundwater-Flow Models Using Covariance Matrix Adaptation

Ming Ye, Frank T.-C. Tsai, Hai V. Pham, 2015 .

Smart care spaces: pervasive sensing technologies for at-home care

Fatos Xhafa, Leonard Barolli, Craig Chapman, 2014, Int. J. Ad Hoc Ubiquitous Comput..

A fog computing model for pervasive connected healthcare in smart environments

Philip Moore, Hai V. Pham, H. Pham, 2019, Int. J. Grid Util. Comput..

A monotonic optimization approach for solving strictly quasiconvex multiobjective programming problems

Vijender Kumar Solanki, Nguyen Thi Ngoc Anh, Hai V. Pham, 2020, J. Intell. Fuzzy Syst..

Machine Cognition and the Integration of Emotional Response in the Monitoring of Mental Disorders

Hong Liu, Bin Hu, Philip Moore, 2015, 2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC).

On wisdom and rational decision-support in context-aware systems

Philip Moore, Hai V. Pham, H. Pham, 2017, 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Towards Cloud-Based Personalised Student-Centric Context-Aware e-Learning Pedagogic Systems

Philip Moore, Hai V. Pham, Zhili Zhao, 2019, CISIS.

Bayesian experimental design for identification of model propositions and conceptual model uncertainty reduction

Frank T.-C. Tsai, Hai V. Pham, F. Tsai, 2015 .

Context matching with reasoning and decision support using hedge algebra with Kansei evaluation

Philip Moore, Hai V. Pham, Khang Dinh Tran, 2014, SoICT '14.

A big data framework for E-Government in Industry 4.0

Hai V. Pham, Rashmi Agrawal, Ha Quoc Trung, 2021, Open Comput. Sci..

Optimal observation network design for conceptual model discrimination and uncertainty reduction

Frank T.-C. Tsai, Hai V. Pham, F. Tsai, 2016 .