Scholarly Research Excellence

ICOR 2018 : 20th International Conference on Operations Research

Barcelona, Spain
October 29 - 30, 2018

Conference Code: 18ES10ICOR

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

ICOR 2018 has teamed up with the Special Journal Issue on Operations Research. 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   August 31, 2018
Notification of Acceptance/Rejection   September 10, 2018
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   September 28, 2018
Conference Dates   October 29 - 30, 2018

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) Risk and Uncertainty in Aviation: A Thorough Analysis of System Vulnerabilities
C. V. Pietreanu, S. E. Zaharia, C. Dinu
2) Cognition of Driving Context for Driving Assistance
Manolo Dulva Hina, Clement Thierry, Assia Soukane, Amar Ramdane-Cherif
3) Traffic Congestion Problem and Possible Solution in Kabul City
Sayed Abdul Rahman Sadaat, Nsenda Lukumwena
4) Road Vehicle Recognition Using Magnetic Sensing Feature Extraction and Classification
Xiao Chen, Xiaoying Kong, Min Xu
5) Networks in the Tourism Sector in Brazil: Proposal of a Management Model Applied to Tourism Clusters
Gysele Lima Ricci, Jose Miguel Rodriguez Anton
6) Long Short-Term Memory Based Model for Modeling Nicotine Consumption Using an Electronic Cigarette and Internet of Things Devices
Hamdi Amroun, Yacine Benziani, Mehdi Ammi
7) A Ground Structure Method to Minimize the Total Installed Cost of Steel Frame Structures
Filippo Ranalli, Forest Flager, Martin Fischer
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) Optimization of Air Pollution Control Model for Mining
Zunaira Asif, Zhi Chen
11) Imposing Speed Constraints on Arrival Flights: Case Study for Changi Airport
S. Aneeka, S.M. Phyoe, R. Guo, Z.W. Zhong
12) Considerations for Effectively Using Probability of Failure as a Means of Slope Design Appraisal for Homogeneous and Heterogeneous Rock Masses
Neil Bar, Andrew Heweston
13) Hybrid Reliability-Similarity-Based Approach for Supervised Machine Learning
Walid Cherif
14) Experimental Simulation Set-Up for Validating Out-Of-The-Loop Mitigation when Monitoring High Levels of Automation in Air Traffic Control
Oliver Ohneiser, Francesca De Crescenzio, Gianluca Di Flumeri, Jan Kraemer, Bruno Berberian, Sara Bagassi, Nicolina Sciaraffa, Pietro Aricò, Gianluca Borghini, Fabio Babiloni
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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