Open Science Research Excellence

ICIAML 2018 : International Conference on Industrial Applications of Machine Learning

Singapore, SG
March 22 - 23, 2018

Conference Code: 18SG03ICIAML

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

ICIAML 2018 has teamed up with the Special Journal Issue on Industrial Applications of Machine Learning. 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   February 15, 2018
Notification of Acceptance/Rejection   February 28, 2018
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   February 22, 2018
Conference Dates   March 22 - 23, 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) The Effect of Foreign Owned Firms and Licensed Manufacturing Agreements on Innovation: Case of Pharmaceutical Firms in Developing Countries
Ilham Benali, Nasser Hajji, Nawfal Acha
2) Smart Lean Manufacturing in the Context of Industry 4.0: A Case Study
M. Ramadan, B. Salah
3) Multi-Modal Visualization of Working Instructions for Assembly Operations
Josef Wolfartsberger, Michael Heiml, Georg Schwarz, Sabrina Egger
4) Consumer Load Profile Determination with Entropy-Based K-Means Algorithm
Ioannis P. Panapakidis, Marios N. Moschakis
5) Design for Metal Additive Manufacturing: An Investigation of Key Design Application on Electron Beam Melting
Wadea Ameen, Abdulrahman Al-Ahmari, Osama Abdulhameed
6) Metal Inert Gas Welding-Based-Shaped Metal Deposition in Additive Layered Manufacturing: A Review
Adnan A. Ugla, Hassan J. Khaudair, Ahmed R. J. Almusawi
7) Comparison of Machine Learning Models for the Prediction of System Marginal Price of Greek Energy Market
Ioannis P. Panapakidis, Marios N. Moschakis
8) Deep Learning Based Fall Detection Using Simplified Human Posture
Kripesh Adhikari, Hamid Bouchachia, Hammadi Nait-Charif
9) Noise Reduction in Web Data: A Learning Approach Based on Dynamic User Interests
Julius Onyancha, Valentina Plekhanova
10) Evaluating Machine Learning Techniques for Activity Classification in Smart Home Environments
Talal Alshammari, Nasser Alshammari, Mohamed Sedky, Chris Howard
11) Tensile Properties of 3D Printed PLA under Unidirectional and Bidirectional Raster Angle: A Comparative Study
Shilpesh R. Rajpurohit, Harshit K. Dave
12) Oracle JDE Enterprise One ERP Implementation: A Case Study
Abhimanyu Pati, Krishna Kumar Veluri
13) 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
14) Cognition of Driving Context for Driving Assistance
Manolo Dulva Hina, Clement Thierry, Assia Soukane, Amar Ramdane-Cherif
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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