Open Science Research Excellence

ICMLMSE 2021 : International Conference on Machine Learning in Materials Science and Engineering

Bangkok, Thailand
December 16 - 17, 2021

Conference Code: 21TH12ICMLMSE

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

ICMLMSE 2021 has teamed up with the Special Journal Issue on Machine Learning in Materials Science and 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   July 14, 2020
Notification of Acceptance/Rejection   July 27, 2020
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   November 18, 2021
Conference Dates   December 16 - 17, 2021

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) Author Profiling: Prediction of Learners’ Gender on a MOOC Platform Based on Learners’ Comments
Tahani Aljohani, Jialin Yu, Alexandra. I. Cristea
3) A Hybrid Feature Selection and Deep Learning Algorithm for Cancer Disease Classification
Niousha Bagheri Khulenjani, Mohammad Saniee Abadeh
4) Automatic Number Plate Recognition System Based on Deep Learning
T. Damak, O. Kriaa, A. Baccar, M. A. Ben Ayed, N. Masmoudi
5) The Forensic Swing of Things: The Current Legal and Technical Challenges of IoT Forensics
Pantaleon Lutta, Mohamed Sedky, Mohamed Hassan
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) Uplink Throughput Prediction in Cellular Mobile Networks
Engin Eyceyurt, Josko Zec
8) Deep Learning Based Fall Detection Using Simplified Human Posture
Kripesh Adhikari, Hamid Bouchachia, Hammadi Nait-Charif
9) Consumer Load Profile Determination with Entropy-Based K-Means Algorithm
Ioannis P. Panapakidis, Marios N. Moschakis
10) Comparison of Machine Learning Models for the Prediction of System Marginal Price of Greek Energy Market
Ioannis P. Panapakidis, Marios N. Moschakis
11) Performance Evaluation of Distributed Deep Learning Frameworks in Cloud Environment
Shuen-Tai Wang, Fang-An Kuo, Chau-Yi Chou, Yu-Bin Fang
12) Foot Recognition Using Deep Learning for Knee Rehabilitation
Rakkrit Duangsoithong, Jermphiphut Jaruenpunyasak, Alba Garcia
13) Vision-Based Collision Avoidance for Unmanned Aerial Vehicles by Recurrent Neural Networks
Yao-Hong Tsai
14) 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
15) An Automated Stock Investment System Using Machine Learning Techniques: An Application in Australia
Carol Anne Hargreaves

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