ICMLG 2021: 15. International Conference on Machine Learning and Geotechnics
- 会议时间：2021-02-04 至 2021-02-05
- 会议地点： Bangkok, Thailand,Istanbul,Turkey 周边酒店预订
发票类型：
不支持开票
参会凭证：其它
| Participation Type | Early Registration Fees | Registration Fees |
|---|---|---|
| Non-Student Oral/Poster Presenter Registration | € 350 | € 400 |
| Student Oral/Poster Presenter Registration | € 300 | € 350 |
| Listener Registration | € 250 | € 300 |
| Additional Paper Publication | € 100 | |
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. With its high quality, it provides an exceptional value for students, academics and industry researchers.
ICMLG 2021: 15. International Conference on Machine Learning and 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 and 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 and 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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Machine Learning and Geotechnics are cordially invited for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.
Guidelines for Authors
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 Guideline, Abstract Submission Guideline and Author Information before submitting your paper.
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 and 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.
Application Forms
Selected Papers
- Feature Analysis of Predictive Maintenance Models
Zhaoan Wang - Performance Analysis of Traffic Classification with Machine Learning
Htay Htay Yi, Zin May Aye - A Second Look at Gesture-Based Passwords: Usability and Vulnerability to Shoulder-Surfing Attacks
Lakshmidevi Sreeramareddy, Komalpreet Kaur, Nane Pothier - 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 - Government (Big) Data Ecosystem: Definition, Classification of Actors, and Their Roles
Syed Iftikhar Hussain Shah, Vasilis Peristeras, Ioannis Magnisalis - A Secure Auditing Framework for Load Balancing in Cloud Environment
R. Geetha, T. Padmavathy - Machine Learning Techniques in Bank Credit Analysis
Fernanda M. Assef, Maria Teresinha A. Steiner - The Forensic Swing of Things: The Current Legal and Technical Challenges of IoT Forensics
Pantaleon Lutta, Mohamed Sedky, Mohamed Hassan - 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 - Uplink Throughput Prediction in Cellular Mobile Networks
Engin Eyceyurt, Josko Zec - Discussing Embedded versus Central Machine Learning in Wireless Sensor Networks
Anne-Lena Kampen, Øivind Kure - DocPro: A Framework for Processing Semantic and Layout Information in Business Documents
Ming-Jen Huang, Chun-Fang Huang, Chiching Wei - Development of Fake News Model Using Machine Learning through Natural Language Processing
Sajjad Ahmed, Knut Hinkelmann, Flavio Corradini - A Machine Learning Based Framework for Education Levelling in Multicultural Countries: UAE as a Case Study
Shatha Ghareeb, Rawaa Al-Jumeily, Thar Baker - Reduction of Energy Consumption Using Smart Home Techniques in the Household Sector
Ahmed Al-Adaileh, Souheil Khaddaj
| Jian Qu | Shinawatra University, TH |
| Kriangkrai Limthong | Bangkok University, TH |
| Elhadj Benkhelifa | Staffordshire University, UK |
| Chee Seng Chan | University of Portsmouth, UK |
| Akansha Kumar | Texas A&M University, US |
| Zhixuan Cao | ANSYS Inc., US |
| Mohammad Shekaramiz | Utah Valley University, US |
| Chung Hyun Goh | University of Texas at Tyler, US |
| Akilesh Rajavenkatanarayanan | The University of Texas at Arlington, US |
| Mahdi Imani | George Washington University, US |
| Arash Mahyari | Florida Institute For Human and Machine Cognition, US |
| Samir Iqbal | University of Texas Rio Grande Valley, US |
| Nagdev Amruthnath | Western Michigan University, US |
| Sergio Davalos | University of Washington Tacoma, US |
| Cong Wang | University of North Carolina at Chapel Hill, US |
| Ayush Singhal | University of Minnesota, Twin Cities, US |
| Naga Usha Gayathri Lokala | Wright State University, US |
| Thuan Nguyen | School of Management - University of Texas at Dallas, US |
| Elnaz Lashgari | California State University and Claremont Graduate University, US |
| Shanshan Tuo | xAd Inc, US |
| Harvey Hyman | Saint Leo University, US |
| Shashank Shanbhag | Salesforce, US |
| Yizhen Liu | Research Institue of Huawei at U.S., US |
| Mohammed Korayem | CareerBuilder, LLC., US |
| Prudhvi Janga | University of Cincinnati, US |
| Rajdeep Bhowmik | Cisco Systems Inc., US |
| Yu Zhang | EMC Corporation, US |
| Apurva Mohan | Honeywell Research Labs, US |
| Victor Sheng | University of Central Arkansas, US |
| Sugam Sharma | Iowa State University, US |
| Abstracts/Full-Text Paper Submission Deadline | December 15, 2020 | |
| Notification of Acceptance/Rejection | December 30, 2020 | |
| Final Paper (Camera Ready) Submission & Early Bird Registration Deadline | January 04, 2021 | |
| Conference Dates | February 04-05, 2021 |
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