Conference Code: 21UK03ICMLDLM
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.
ICMLDLM 2021: International Conference on Machine Learning and Deep Learning 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 and Deep Learning 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 and Deep Learning 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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Machine Learning and Deep Learning in Manufacturing are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.
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
ICMLDLM 2021 has teamed up with the Special Journal Issue on
Machine Learning and Deep Learning 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.
Important Dates
| 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 14, 2021 |
| Conference Dates |
|
March 15 - 16, 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) Evaluation of Environmental, Technical, and Economic Indicators of a Fused Deposition Modeling ProcessM. Yosofi, S. Ezeddini, A. Ollivier, V. Lavaste, C. Mayousse 4) An Evaluation on the Effectiveness of a 3D Printed Composite Compression MoldPeng Hao Wang, Garam Kim, Ronald Sterkenburg 5) A Second Look at Gesture-Based Passwords: Usability and Vulnerability to Shoulder-Surfing AttacksLakshmidevi Sreeramareddy, Komalpreet Kaur, Nane Pothier 6) Comparing Machine Learning Estimation of Fuel Consumption of Heavy-Duty VehiclesVictor Bodell, Lukas Ekstrom, Somayeh Aghanavesi 7) An Application for Risk of Crime Prediction Using Machine LearningLuis Fonseca, Filipe Cabral Pinto, Susana Sargento 8) Study of Effect of Gear Tooth Accuracy on Transmission Mount VibrationKalyan Deepak Kolla, Ketan Paua, Rajkumar Bhagate 9) Machine Learning Facing Behavioral Noise Problem in an Imbalanced Data Using One Side Behavioral Noise Reduction: Application to a Fraud DetectionSalma El Hajjami, Jamal Malki, Alain Bouju, Mohammed Berrada 10) Machine Learning Development Audit Framework: Assessment and Inspection of Risk and Quality of Data, Model and Development ProcessJan Stodt, Christoph Reich 11) A Machine Learning Approach for Anomaly Detection in Environmental IoT-Driven Wastewater Purification SystemsGiovanni Cicceri, Roberta Maisano, Nathalie Morey, Salvatore Distefano 12) The Role of Optimization and Machine Learning in e-Commerce Logistics in 2030Vincenzo Capalbo, Gianpaolo Ghiani, Emanuele Manni 13) 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 14) Machine Learning Techniques in Bank Credit AnalysisFernanda M. Assef, Maria Teresinha A. Steiner 15) The Forensic Swing of Things: The Current Legal and Technical Challenges of IoT ForensicsPantaleon Lutta, Mohamed Sedky, Mohamed Hassan
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