Open Science Research Excellence

ICMLDLM 2021 : International Conference on Machine Learning and Deep Learning in Manufacturing

London, United Kingdom
March 15 - 16, 2021

Conference Code: 21UK03ICMLDLM

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 Models
Zhaoan Wang
2) Performance Analysis of Traffic Classification with Machine Learning
Htay Htay Yi, Zin May Aye
3) Evaluation of Environmental, Technical, and Economic Indicators of a Fused Deposition Modeling Process
M. Yosofi, S. Ezeddini, A. Ollivier, V. Lavaste, C. Mayousse
4) An Evaluation on the Effectiveness of a 3D Printed Composite Compression Mold
Peng Hao Wang, Garam Kim, Ronald Sterkenburg
5) A Second Look at Gesture-Based Passwords: Usability and Vulnerability to Shoulder-Surfing Attacks
Lakshmidevi Sreeramareddy, Komalpreet Kaur, Nane Pothier
6) Comparing Machine Learning Estimation of Fuel Consumption of Heavy-Duty Vehicles
Victor Bodell, Lukas Ekstrom, Somayeh Aghanavesi
7) An Application for Risk of Crime Prediction Using Machine Learning
Luis Fonseca, Filipe Cabral Pinto, Susana Sargento
8) Study of Effect of Gear Tooth Accuracy on Transmission Mount Vibration
Kalyan 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 Detection
Salma 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 Process
Jan Stodt, Christoph Reich
11) A Machine Learning Approach for Anomaly Detection in Environmental IoT-Driven Wastewater Purification Systems
Giovanni Cicceri, Roberta Maisano, Nathalie Morey, Salvatore Distefano
12) The Role of Optimization and Machine Learning in e-Commerce Logistics in 2030
Vincenzo Capalbo, Gianpaolo Ghiani, Emanuele Manni
13) 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
14) Machine Learning Techniques in Bank Credit Analysis
Fernanda M. Assef, Maria Teresinha A. Steiner
15) The Forensic Swing of Things: The Current Legal and Technical Challenges of IoT Forensics
Pantaleon Lutta, Mohamed Sedky, Mohamed Hassan

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