ICMLAM 2021: 15. International Conference on Machine Learning Applications in Manufacturing
- 会议时间：2021-03-29 至 2021-03-30
- 会议地点： Sydney, Australia,Sydney,Australia 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 | € 450 | € 500 |
| Student Oral/Poster Presenter Registration | € 350 | € 400 |
| 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.
ICMLAM 2021: 15. International Conference on Machine Learning Applications in Manufacturing 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 Applications in Manufacturing. 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 Applications in Manufacturing
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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Machine Learning Applications in Manufacturing are cordially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
ICMLAM 2021 has teamed up with the Special Journal Issue on Machine Learning Applications in Manufacturing. 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
- 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 - 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 - Influence of Selected Finishing Technologies on the Roughness Parameters of Stainless Steel Manufactured by Selective Laser Melting Method
J. Hajnys, M. Pagac, J. Petru, P. Stefek, J. Mesicek, J. Kratochvil - 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 - Using Axiomatic Design for Developing a Framework of Manufacturing Cloud Service Composition in the Equilibrium State
Ehsan Vaziri Goodarzi, Mahmood Houshmand, Omid Fatahi Valilai, Vahidreza Ghezavati, Shahrooz Bamdad - Systematic Mapping Study of Digitization and Analysis of Manufacturing Data
R. Clancy, M. Ahern, D. O’Sullivan, K. Bruton - Numerical Simulation on Deformation Behaviour of Additively Manufactured AlSi10Mg Alloy
Racholsan Raj Nirmal, B. S. V. Patnaik, R. Jayaganthan - Effects of Milling Process Parameters on Cutting Forces and Surface Roughness When Finishing Ti6al4v Produced by Electron Beam Melting
Abdulmajeed Dabwan, Saqib Anwar, Ali Al-Samhan - Automatic Product Identification Based on Deep-Learning Theory in an Assembly Line
Fidel Lòpez Saca, Carlos Avilés-Cruz, Miguel Magos-Rivera, José Antonio Lara-Chávez - Development of Fake News Model Using Machine Learning through Natural Language Processing
Sajjad Ahmed, Knut Hinkelmann, Flavio Corradini - Supervisor Controller-Based Colored Petri Nets for Deadlock Control and Machine Failures in Automated Manufacturing Systems
Husam Kaid, Abdulrahman Al-Ahmari, Zhiwu Li
| Saba Shams Bidhendi | University of Southern Queensland, AU |
| Junyu Xuan | University of Technology Sydney, AU |
| Yousef Amer | University of South Australia , AU |
| Ashwin Polishetty | Deakin University, AU |
| ploy sud-on | RMIT University, AU |
| Kazem Abhary | University of South Australia, AU |
| Abdul Md Mazid | Central Queensland University, AU |
| David Powers | Flinders University, AU |
| Majid RAD | Edith Cowan University, AU |
| Syed Masood | Swinburne University of Technology, AU |
| Azharul Karim | Queensland University of Technology, AU |
| Vincent C. S. Lee | Monash University, AU |
| Hom Dhakal | University of Portsmouth, UK |
| Margaret Morgan | University of Ulster, UK |
| Oana Ghita | Exeter Advanced Technologies, UK |
| Dezhi Li | University of Warwick, UK |
| Chee Seng Chan | University of Portsmouth, UK |
| Abdullah Ajmal | London South Bank University, UK |
| Mohammad Shekaramiz | Utah Valley University, US |
| Michael Kassner | University of Southern California, US |
| Chung Hyun Goh | University of Texas at Tyler, US |
| Dean Bartles | National Center for Defense Manufacturing and Machining, 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 |
| Nourredine Boubekri | University of North Texas, US |
| Keivan Davami | University of Alabama, US |
| Nagdev Amruthnath | Western Michigan University, US |
| Sergio Davalos | University of Washington Tacoma, US |
| Abstracts/Full-Text Paper Submission Deadline | January 28, 2021 | |
| Notification of Acceptance/Rejection | February 11, 2021 | |
| Final Paper (Camera Ready) Submission & Early Bird Registration Deadline | February 28, 2021 | |
| Conference Dates | March 29-30, 2021 |
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