Open Science Research Excellence

ICMACPS 2020 : International Conference on Mechatronics, Automation and Cyber-Physical Systems

Sydney, Australia
August 27 - 28, 2020

Conference Code: 20AU08ICMACPS

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

ICMACPS 2020 has teamed up with the Special Journal Issue on Mechatronics, Automation and Cyber-Physical 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   July 14, 2020
Notification of Acceptance/Rejection   July 27, 2020
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   July 29, 2020
Conference Dates   August 27 - 28, 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) Improving Fake News Detection Using K-means and Support Vector Machine Approaches
Kasra Majbouri Yazdi, Adel Majbouri Yazdi, Saeid Khodayi, Jingyu Hou, Wanlei Zhou, Saeed Saedy
2) Government (Big) Data Ecosystem: Definition, Classification of Actors, and Their Roles
Syed Iftikhar Hussain Shah, Vasilis Peristeras, Ioannis Magnisalis
3) Design of Wireless and Traceable Sensors for Internally Illuminated Photoreactors
Alexander Sutor, David Demetz
4) The Forensic Swing of Things: The Current Legal and Technical Challenges of IoT Forensics
Pantaleon Lutta, Mohamed Sedky, Mohamed Hassan
5) Uplink Throughput Prediction in Cellular Mobile Networks
Engin Eyceyurt, Josko Zec
6) Modeling Engagement with Multimodal Multisensor Data: The Continuous Performance Test as an Objective Tool to Track Flow
Mohammad H. Taheri, David J. Brown, Nasser Sherkat
7) Deep Learning Based Fall Detection Using Simplified Human Posture
Kripesh Adhikari, Hamid Bouchachia, Hammadi Nait-Charif
8) Consumer Load Profile Determination with Entropy-Based K-Means Algorithm
Ioannis P. Panapakidis, Marios N. Moschakis
9) Comparison of Machine Learning Models for the Prediction of System Marginal Price of Greek Energy Market
Ioannis P. Panapakidis, Marios N. Moschakis
10) Performance Evaluation of Distributed Deep Learning Frameworks in Cloud Environment
Shuen-Tai Wang, Fang-An Kuo, Chau-Yi Chou, Yu-Bin Fang
11) The Effect of an Al Andalus Fused Curriculum Model on the Learning Outcomes of Elementary School Students
Sobhy Fathy A. Hashesh
12) Classification of Health Risk Factors to Predict the Risk of Falling in Older Adults
L. Lindsay, S. A. Coleman, D. Kerr, B. J. Taylor, A. Moorhead
13) 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
14) An Automated Stock Investment System Using Machine Learning Techniques: An Application in Australia
Carol Anne Hargreaves
15) Predictive Semi-Empirical NOx Model for Diesel Engine
Saurabh Sharma, Yong Sun, Bruce Vernham

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