Open Science Research Excellence

ICAIAE 2020 : International Conference on Artificial Intelligence for Architectural Engineering

Istanbul, Turkey
November 5 - 6, 2020

Conference Code: 20TR11ICAIAE

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

ICAIAE 2020 has teamed up with the Special Journal Issue on Artificial Intelligence for Architectural 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   March 28, 2019
Notification of Acceptance/Rejection   April 15, 2019
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   October 8, 2020
Conference Dates   November 5 - 6, 2020

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) Identification of Social Responsibility Factors within Mega Construction Projects
Ali Alotaibi, Francis Edum-Fotwe, Andrew Price /
2) Origins of Chicago Common Brick: Examining a Masonry Shell Encasing a New Ando Museum
Daniel Joseph Whittaker
3) Consumer Load Profile Determination with Entropy-Based K-Means Algorithm
Ioannis P. Panapakidis, Marios N. Moschakis
4) Comparison of Machine Learning Models for the Prediction of System Marginal Price of Greek Energy Market
Ioannis P. Panapakidis, Marios N. Moschakis
5) Construction 4.0: The Future of the Construction Industry in South Africa
Temidayo. O. Osunsanmi, Clinton Aigbavboa, Ayodeji Oke
6) Noise Reduction in Web Data: A Learning Approach Based on Dynamic User Interests
Julius Onyancha, Valentina Plekhanova
7) A Look at the History of Calligraphy in Decoration of Mosques in Iran: 630-1630 AD
Cengiz Tavşan, Niloufar Akbarzadeh
8) Evaluating Machine Learning Techniques for Activity Classification in Smart Home Environments
Talal Alshammari, Nasser Alshammari, Mohamed Sedky, Chris Howard
9) Thermalytix: An Advanced Artificial Intelligence Based Solution for Non-Contact Breast Screening
S. Sudhakar, Geetha Manjunath, Siva Teja Kakileti, Himanshu Madhu
10) 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
11) Cognition of Driving Context for Driving Assistance
Manolo Dulva Hina, Clement Thierry, Assia Soukane, Amar Ramdane-Cherif
12) Comparative Evaluation of Accuracy of Selected Machine Learning Classification Techniques for Diagnosis of Cancer: A Data Mining Approach
Rajvir Kaur, Jeewani Anupama Ginige
13) Hybrid Reliability-Similarity-Based Approach for Supervised Machine Learning
Walid Cherif
14) Hardware Implementation of Local Binary Pattern Based Two-Bit Transform Motion Estimation
Seda Yavuz, Anıl Çelebi, Aysun Taşyapı Çelebi, Oğuzhan Urhan
15) Hybrid Approach for Software Defect Prediction Using Machine Learning with Optimization Technique
C. Manjula, Lilly Florence

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