Conference Code: 21MX04ICMLG
The International Research Conference Aims and Objectives
The International Research Conference is a federated organization dedicated to bringing together a significant number of diverse scholarly events for presentation within the conference program. Events will run over a span of time during the conference depending on the number and length of the presentations.
ICMLG 2021: International Conference on Machine Learning in Geotechnics aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Machine Learning in Geotechnics. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Machine Learning in Geotechnics.
Call for Contributions
Prospective authors are kindly encouraged to contribute to and help shape the conference through submissions of their research abstracts, papers and e-posters. Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Machine Learning in Geotechnics are cordially invited for presentation at the conference. The conference solicits contributions of abstracts, papers and e-posters that address themes and topics of the conference, including figures, tables and references of novel research materials.
WASET
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
ICMLG 2021 has teamed up with the Special Journal Issue on
Machine Learning in Geotechnics.
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, 2021 |
| Notification of Acceptance/Rejection |
|
March 1, 2021 |
| Final Paper (Camera Ready) Submission & Early Bird Registration Deadline |
|
March 5, 2021 |
| Conference Dates |
|
April 5 - 6, 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) Feature Analysis of Predictive Maintenance ModelsZhaoan Wang 2) Performance Analysis of Traffic Classification with Machine LearningHtay Htay Yi, Zin May Aye 3) A Second Look at Gesture-Based Passwords: Usability and Vulnerability to Shoulder-Surfing AttacksLakshmidevi Sreeramareddy, Komalpreet Kaur, Nane Pothier 4) Comparing Machine Learning Estimation of Fuel Consumption of Heavy-Duty VehiclesVictor Bodell, Lukas Ekstrom, Somayeh Aghanavesi 5) An Application for Risk of Crime Prediction Using Machine LearningLuis Fonseca, Filipe Cabral Pinto, Susana Sargento 6) Improving Fake News Detection Using K-means and Support Vector Machine ApproachesKasra Majbouri Yazdi, Adel Majbouri Yazdi, Saeid Khodayi, Jingyu Hou, Wanlei Zhou, Saeed Saedy 7) Government (Big) Data Ecosystem: Definition, Classification of Actors, and Their Roles Syed Iftikhar Hussain Shah, Vasilis Peristeras, Ioannis Magnisalis 8) A Secure Auditing Framework for Load Balancing in Cloud EnvironmentR. Geetha, T. Padmavathy 9) Machine Learning Techniques in Bank Credit AnalysisFernanda M. Assef, Maria Teresinha A. Steiner 10) The Forensic Swing of Things: The Current Legal and Technical Challenges of IoT ForensicsPantaleon Lutta, Mohamed Sedky, Mohamed Hassan 11) Modeling Engagement with Multimodal Multisensor Data: The Continuous Performance Test as an Objective Tool to Track FlowMohammad H. Taheri, David J. Brown, Nasser Sherkat 12) Development of Fake News Model Using Machine Learning through Natural Language ProcessingSajjad Ahmed, Knut Hinkelmann, Flavio Corradini 13) Uplink Throughput Prediction in Cellular Mobile NetworksEngin Eyceyurt, Josko Zec 14) Discussing Embedded versus Central Machine Learning in Wireless Sensor Networks Anne-Lena Kampen, Øivind Kure 15) DocPro: A Framework for Processing Semantic and Layout Information in Business DocumentsMing-Jen Huang, Chun-Fang Huang, Chiching Wei
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