Open Science Research Excellence

ICSMMIEA 2020 : International Conference on Self-Maintenance Machines for Industrial Engineering Applications

Bangkok, Thailand
January 17 - 18, 2020

Conference Code: 20TH01ICSMMIEA

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

ICSMMIEA 2020 has teamed up with the Special Journal Issue on Self-Maintenance Machines for Industrial Engineering Applications. 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   December 17, 2019
Conference Dates   January 17 - 18, 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) Current Status and Future Trends of Mechanized Fruit Thinning Devices and Sensor Technology
Marco Lopes, Pedro D. Gaspar, Maria P. Simões
2) Consumer Load Profile Determination with Entropy-Based K-Means Algorithm
Ioannis P. Panapakidis, Marios N. Moschakis
3) Effects of Grape Seed Oil on Postharvest Life and Quality of Some Grape Cultivars
Zeki Kara, Kevser Yazar
4) Comparison of Machine Learning Models for the Prediction of System Marginal Price of Greek Energy Market
Ioannis P. Panapakidis, Marios N. Moschakis
5) Fabrication and Characterization of Al2O3 Based Electrical Insulation Coatings Around SiC Fibers
S. Palaniyappan, P. K. Chennam, M. Trautmann, H. Ahmad, T. Mehner, T. Lampke, G. Wagner
6) Deep Learning Based Fall Detection Using Simplified Human Posture
Kripesh Adhikari, Hamid Bouchachia, Hammadi Nait-Charif
7) Predictive Semi-Empirical NOx Model for Diesel Engine
Saurabh Sharma, Yong Sun, Bruce Vernham
8) Maximization of Lifetime for Wireless Sensor Networks Based on Energy Efficient Clustering Algorithm
Frodouard Minani
9) 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
10) Recent Trends on Security Constrained Economic Dispatch: A Bibliographic Review
Shewit Tsegaye, Fekadu Shewarega
11) Challenges for Interface Designers in Designing Sensor Dashboards in the Context of Industry 4.0
Naveen Kumar, Shyambihari Prajapati
12) Performance Evaluation of Distributed Deep Learning Frameworks in Cloud Environment
Shuen-Tai Wang, Fang-An Kuo, Chau-Yi Chou, Yu-Bin Fang
13) Thermalytix: An Advanced Artificial Intelligence Based Solution for Non-Contact Breast Screening
S. Sudhakar, Geetha Manjunath, Siva Teja Kakileti, Himanshu Madhu
14) Evaluating Machine Learning Techniques for Activity Classification in Smart Home Environments
Talal Alshammari, Nasser Alshammari, Mohamed Sedky, Chris Howard
15) Noise Reduction in Web Data: A Learning Approach Based on Dynamic User Interests
Julius Onyancha, Valentina Plekhanova

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