Open Science Research Excellence

ICGTDE 2019 : International Conference on Game Theory and Decision Engineering

Oslo, Norway
June 24 - 25, 2019

Conference Code: 19NO06ICGTDE

Conference Proceedings

All submitted conference papers will be blind peer reviewed by three competent reviewers. The peer-reviewed conference proceedings are indexed in the Open Science Index, Google Scholar, Semantic Scholar, Zenedo, OpenAIRE, BASE, WorldCAT, Sherpa/RoMEO, and other index databases. Impact Factor Indicators.

Special Journal Issues

ICGTDE 2019 has teamed up with the Special Journal Issue on Game Theory and Decision Engineering. A number of selected high-impact full text papers will also be considered for the special journal issues. All submitted papers will have the opportunity to be considered for this Special Journal Issue. The paper selection will be carried out during the peer review process as well as at the conference presentation stage. Submitted papers must not be under consideration by any other journal or publication. The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly. Selected full-text papers will be published online free of charge.

Conference Sponsor and Exhibitor Opportunities

The Conference offers the opportunity to become a conference sponsor or exhibitor. To participate as a sponsor or exhibitor, please download and complete the Conference Sponsorship Request Form.

Important Dates

Abstracts/Full-Text Paper Submission Deadline   January 31, 2019
Notification of Acceptance/Rejection   February 15, 2019
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   May 24, 2019
Conference Dates   June 24 - 25, 2019

Important Notes

Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers. Downloadable versions of the check list for Full-Text Papers and Abstract Papers.

Please refer to the Paper Submission GUIDE before submitting your paper.

Selected Conference Papers

1) Dental Students’ Attitude towards Problem-Based Learning before and after Implementing 3D Electronic Dental Models
Hai Ming Wong, Kuen Wai Ma, Lavender Yu Xin Yang, Yanqi Yang
2) Project Management at University: Towards an Evaluation Process around Cooperative Learning
J. L. Andrade-Pineda, J.M. León-Blanco, M. Calle, P. L. González-R
3) Optimal Distributed Generator Sizing and Placement by Analytical Method and PSO Algorithm Considering Optimal Reactive Power Dispatch
Kyaw Myo Lin, Pyone Lai Swe, Khine Zin Oo
4) Performance Analysis of MATLAB Solvers in the Case of a Quadratic Programming Generation Scheduling Optimization Problem
Dávid Csercsik, Péter Kádár
5) Prediction on Housing Price Based on Deep Learning
Li Yu, Chenlu Jiao, Hongrun Xin, Yan Wang, Kaiyang Wang
6) Water End-Use Classification with Contemporaneous Water-Energy Data and Deep Learning Network
Khoi A. Nguyen, Rodney A. Stewart, Hong Zhang
7) Noise Reduction in Web Data: A Learning Approach Based on Dynamic User Interests
Julius Onyancha, Valentina Plekhanova
8) Risk and Uncertainty in Aviation: A Thorough Analysis of System Vulnerabilities
C. V. Pietreanu, S. E. Zaharia, C. Dinu
9) Missing Link Data Estimation with Recurrent Neural Network: An Application Using Speed Data of Daegu Metropolitan Area
JaeHwan Yang, Da-Woon Jeong, Seung-Young Kho, Dong-Kyu Kim
10) Evaluating Machine Learning Techniques for Activity Classification in Smart Home Environments
Talal Alshammari, Nasser Alshammari, Mohamed Sedky, Chris Howard
11) Cognition of Driving Context for Driving Assistance
Manolo Dulva Hina, Clement Thierry, Assia Soukane, Amar Ramdane-Cherif
12) Optimization of Air Pollution Control Model for Mining
Zunaira Asif, Zhi Chen
13) A Ground Structure Method to Minimize the Total Installed Cost of Steel Frame Structures
Filippo Ranalli, Forest Flager, Martin Fischer
14) Comparative Evaluation of Accuracy of Selected Machine Learning Classification Techniques for Diagnosis of Cancer: A Data Mining Approach
Rajvir Kaur, Jeewani Anupama Ginige
15) Hybrid Reliability-Similarity-Based Approach for Supervised Machine Learning
Walid Cherif

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