A5023456047- Bayesian Modeling and Causal Inference
- Logic, Reasoning, and Knowledge
- AI-based Problem Solving and Planning
- Surgical Simulation and Training
- Intelligent Tutoring Systems and Adaptive Learning
- Semantic Web and Ontologies
- Data Management and Algorithms
- Mosquito-borne diseases and control
- Clinical Reasoning and Diagnostic Skills
- Virtual Reality Applications and Impacts
- Biomedical Text Mining and Ontologies
- Dental Research and COVID-19
- Innovative Teaching and Learning Methods
- Auction Theory and Applications
- Topic Modeling
- Cardiovascular Disease and Adiposity
- Multi-Criteria Decision Making
- Consumer Market Behavior and Pricing
- Multi-Agent Systems and Negotiation
- Advanced Text Analysis Techniques
- Cardiac Imaging and Diagnostics
- Radiology practices and education
- Teleoperation and Haptic Systems
- scientometrics and bibliometrics research
- Dental Radiography and Imaging
Mahidol University
2016-2025
University of Bremen
2017-2025
University of Wisconsin–Milwaukee
1994-2013
Asian Institute of Technology
2001-2013
University of Illinois Urbana-Champaign
1986-2013
Decision Systems (United States)
1996-2013
Assumption University
1998-2013
United Nations University Institute on Globalization, Culture and Mobility
2010-2013
United Nations
2010-2013
NationsUniversity
2010-2013
This paper compares the accuracy of Decision Tree and Bayesian Network algorithms for predicting academic performance undergraduate postgraduate students at two very different institutes: Can Tho University (CTU), a large national university in Viet Nam; Asian Institute Technology (AIT), small international institute Thailand that draws from 86 countries. Although diversity these student populations is different, data-mining tools were able to achieve similar levels performance: 73/71%...
To evaluate the effectiveness of haptic virtual reality (VR) simulator training using microcomputed tomography (micro-CT) tooth models on minimizing procedural errors in endodontic access preparation.Fourth year dental students underwent a pre-training assessment cavity preparation an extracted maxillary molar mounted phantom head. Students were then randomized to either micro-CT with VR (n = 16) or teeth head environments for 3 days, after which was repeated. The main outcome measure...
Targeted environmental and ecosystem management remain crucial in control of dengue. However, providing detailed information on a large scale to effectively target dengue efforts remains challenge. An important piece such is the extent presence potential vector breeding sites, which consist primarily open containers as ceramic jars, buckets, old tires, flowerpots. In this paper we present design implementation pipeline detect outdoor constitute sites from geotagged images create highly...
This paper presents an application of Bayesian networks (BN) to the problem reliability assessment power systems. provide a flexible means representing and reasoning with probabilistic information. Uncertainty dependencies are easily incorporated in analysis. Efficient inference algorithms permit not only computation loss load probability but also answering various queries about system. The advantages BN models for system evaluation demonstrated through examples. Results case study...
Summary Objectives: We present a dental training system with haptic interface that allows students or experts to practice procedures in virtual environment. The simulator is able monitor and classify the performance of an operator into novice expert categories. intelligent module student simultaneously proactively follow correct demonstrated by tutor. Methods: reality (VR) simulates tooth preparation procedure both graphically haptically, using video display device. evaluated users hidden...
We have developed a virtual reality (VR) and an augmented (AR) dental training simulator utilizing haptic device. The simulators utilize volumetric force feedback computation real time modification of the data. They include mirror to facilitate indirect vision during simulated operation. AR environment allows students practice surgery in correct postures by combining 3D tooth tool models with real-world view displaying result through video see-through head-mounted display (HMD). Preliminary...
This paper discusses techniques for performing efficient decision-theoretic planning. We give an overview of the DRIPS refinement planning system, which uses abstraction to efficiently identify optimal plans. present automatically generating search control information, can significantly improve planner's performance. evaluate efficiency both with and without rules on a complex medical problem compare its performance that branch-and-bound decision tree algorithm.
In this paper we address the problem of classifying cited work into important and non-important to developments presented in a research publication. This task is vital for algorithmic techniques that detect follow emerging topics qualitatively measure impact publications increasingly growing scholarly big data. We consider as publication if used or extended some way. If reference background purpose comparing results, considered be non-important. By employing five classification (Support...
Differentiating dengue patients from other acute febrile illness is a great challenge among physicians. Several diagnosis methods are recommended by WHO. The application of specific laboratory tests still limited due to high cost, lack equipment, and uncertain validity. Therefore, clinical remains common practice especially in resource settings. Bayesian networks have been shown be useful tool for diagnostic decision support. This study aimed construct network models using basic demographic,...
Computer sciences and related disciplines evolve around developing, evaluating, applying algorithms. Typically, an algorithm is not developed from scratch, but uses builds upon existing ones, which often are proposed published in scholarly articles. The ability to capture this evolution relationship among these algorithms scientific literature would only allow us understand how a particular composed, also shed light on large-scale analysis of algorithmic through different temporal spans...
AI planning agents are goal‐directed : success is measured in terms of whether an input goal satisfied. The gives structure to the problem, and representations algorithms have been designed exploit that structure. Strict satisfaction may be unacceptably restrictive measure good behavior, however. A general decision‐theoretic agent, on other hand, has no explicit goals: arbitrary preference model or utility function defined over plan outcomes. Although it a very powerful problem solving,...
This paper describes COMET, a collaborative intelligent tutoring system for medical problem-based learning. The uses Bayesian networks to model individual student knowledge and activity, as well that of the group. It incorporates multi-modal interface integrates text graphics so provide rich communication channel between students system, among in Students can sketch directly on images, search concepts, hypotheses shared workspace. prototype substantial domain area head injury diagnosis. A...