Scholarly Research Excellence

ICABDAPS 2019 : 21st International Conference on Advanced Big Data Application in Power Systems

Bangkok, Thailand
January 17 - 18, 2019

Conference Code: 19TH01ICABDAPS

Conference Proceedings

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

Special Journal Issues

ICABDAPS 2019 has teamed up with the Special Journal Issue on Advanced Big Data Application in Power Systems. 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   November 15, 2018
Notification of Acceptance/Rejection   November 30, 2018
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   December 17, 2018
Conference Dates   January 17 - 18, 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) Noise Reduction in Web Data: A Learning Approach Based on Dynamic User Interests
Julius Onyancha, Valentina Plekhanova
2) Risk and Uncertainty in Aviation: A Thorough Analysis of System Vulnerabilities
C. V. Pietreanu, S. E. Zaharia, C. Dinu
3) 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
4) Evaluating Machine Learning Techniques for Activity Classification in Smart Home Environments
Talal Alshammari, Nasser Alshammari, Mohamed Sedky, Chris Howard
5) Cognition of Driving Context for Driving Assistance
Manolo Dulva Hina, Clement Thierry, Assia Soukane, Amar Ramdane-Cherif
6) Innovative Fabric Integrated Thermal Storage Systems and Applications
Ahmed Elsayed, Andrew Shea, Nicolas Kelly, John Allison
7) Networks in the Tourism Sector in Brazil: Proposal of a Management Model Applied to Tourism Clusters
Gysele Lima Ricci, Jose Miguel Rodriguez Anton
8) Factors Affecting Green Supply Chain Management of Lampang Ceramics Industry
Nattida Wannaruk, Wasawat Nakkiew
9) Systems Engineering and Project Management Process Modeling in the Aeronautics Context: Case Study of SMEs
S. Lemoussu, J. C. Chaudemar, R. A. Vingerhoeds
10) Towards Better Quality in Healthcare and Operations Management: A Developmental Literature Review
Towards Better Quality in Healthcare and Operations Management: A Developmental Literature Review
11) Imposing Speed Constraints on Arrival Flights: Case Study for Changi Airport
S. Aneeka, S.M. Phyoe, R. Guo, Z.W. Zhong
12) Knowledge Sharing Behavior and Cognitive Dissonance: The Influence of Assertive Conflict Management Strategy and Team Psychological Safety
Matthew P. Mancini, Vincent Ribiere
13) Hybrid Reliability-Similarity-Based Approach for Supervised Machine Learning
Walid Cherif
14) Strategic Entrepreneurship: Model Proposal for Post-Troika Sustainable Cultural Organizations
Maria Inês Pinho
15) Comparative Evaluation of Accuracy of Selected Machine Learning Classification Techniques for Diagnosis of Cancer: A Data Mining Approach
Rajvir Kaur, Jeewani Anupama Ginige

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