Open Science Research Excellence

ICCAIE 2019 : International Conference on Computer Applications in Industrial Engineering

Istanbul, Turkey
December 19 - 20, 2019

Conference Code: 19TR12ICCAIE

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

ICCAIE 2019 has teamed up with the Special Journal Issue on Computer Applications in Industrial 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   August 29, 2019
Notification of Acceptance/Rejection   September 10, 2019
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   November 19, 2019
Conference Dates   December 19 - 20, 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) Microclimate Variations in Rio de Janeiro Related to Massive Public Transportation
Marco E. O. Jardim, Frederico A. M. Souza, Valeria M. Bastos, Myrian C. A. Costa, Nelson F. F. Ebecken
2) Using Textual Pre-Processing and Text Mining to Create Semantic Links
Ricardo Avila, Gabriel Lopes, Vania Vidal, Jose Macedo
3) From Electroencephalogram to Epileptic Seizures Detection by Using Artificial Neural Networks
Gaetano Zazzaro, Angelo Martone, Roberto V. Montaquila, Luigi Pavone
4) Hybrid Reliability-Similarity-Based Approach for Supervised Machine Learning
Walid Cherif
5) Application of Design Thinking for Technology Transfer of Remotely Piloted Aircraft Systems for the Creative Industry
V. Santamarina Campos, M. de Miguel Molina, B. de Miguel Molina, M. Á. Carabal Montagud
6) Mathematical Description of Functional Motion and Application as a Feeding Mode for General Purpose Assistive Robots
Martin Leroux, Sylvain Brisebois
7) An Improved K-Means Algorithm for Gene Expression Data Clustering
Billel Kenidra, Mohamed Benmohammed
8) Road Traffic Accidents Analysis in Mexico City through Crowdsourcing Data and Data Mining Techniques
Gabriela V. Angeles Perez, Jose Castillejos Lopez, Araceli L. Reyes Cabello, Emilio Bravo Grajales, Adriana Perez Espinosa, Jose L. Quiroz Fabian
9) Real-Time Data Stream Partitioning over a Sliding Window in Real-Time Spatial Big Data
Sana Hamdi, Emna Bouazizi, Sami Faiz
10) Comparison of Security Challenges and Issues of Mobile Computing and Internet of Things
Aabiah Nayeem, Fariha Shafiq, Mustabshra Aftab, Rabia Saman Pirzada, Samia Ghazala
11) An Inflatable and Foldable Knee Exosuit Based on Intelligent Management of Biomechanical Energy
Jing Fang, Yao Cui, Mingming Wang, Shengli She, Jianping Yuan
12) CoP-Networks: Virtual Spaces for New Faculty’s Professional Development in the 21st Higher Education
Eman AbuKhousa, Marwan Z. Bataineh
13) Application of Data Mining Techniques for Tourism Knowledge Discovery
Teklu Urgessa, Wookjae Maeng, Joong Seek Lee
14) Development of Prediction Models of Day-Ahead Hourly Building Electricity Consumption and Peak Power Demand Using the Machine Learning Method
Dalin Si, Azizan Aziz, Bertrand Lasternas
15) Building a Scalable Telemetry Based Multiclass Predictive Maintenance Model in R
Jaya Mathew

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