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.
ICMLDLM 2022: 16. 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Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or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.
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
ICMLDLM 2022 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.
Selected Papers
-
Feature Analysis of Predictive Maintenance Models
Zhaoan Wang
-
Performance Analysis of Traffic Classification with Machine Learning
Htay Htay Yi, Zin May Aye
-
An Evaluation on the Effectiveness of a 3D Printed Composite Compression Mold
Peng Hao Wang, Garam Kim, Ronald Sterkenburg
-
A Second Look at Gesture-Based Passwords: Usability and Vulnerability to Shoulder-Surfing Attacks
Lakshmidevi Sreeramareddy, Komalpreet Kaur, Nane Pothier
-
Evaluation of Environmental, Technical, and Economic Indicators of a Fused Deposition Modeling Process
M. Yosofi, S. Ezeddini, A. Ollivier, V. Lavaste, C. Mayousse
-
Comparing Machine Learning Estimation of Fuel Consumption of Heavy-Duty Vehicles
Victor Bodell, Lukas Ekstrom, Somayeh Aghanavesi
-
Study of Effect of Gear Tooth Accuracy on Transmission Mount Vibration
Kalyan Deepak Kolla, Ketan Paua, Rajkumar Bhagate
-
An Application for Risk of Crime Prediction Using Machine Learning
Luis Fonseca, Filipe Cabral Pinto, Susana Sargento
-
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
-
Development of Fake News Model Using Machine Learning through Natural Language Processing
Sajjad Ahmed, Knut Hinkelmann, Flavio Corradini
-
Uplink Throughput Prediction in Cellular Mobile Networks
Engin Eyceyurt, Josko Zec
Machine learning for industrial engineering
Machine learning algorithms for manufacturing
Machine learning for mass production
Machine learning in manufacturing
Machine learning for advancing quality control
Advantages and challenges of machine learning application in manufacturing
Machine learning algorithms in heavy process manufacturing
Structuring of machine leaning techniques and algorithms
Unsupervised machine learning in manufacturing
Reinforcement learning in manufacturing
Supervised machine learning in manufacturing
| Abstracts/Full-Text Paper Submission Deadline |
|
March 01, 2021 |
| Notification of Acceptance/Rejection |
|
March 15, 2021 |
| Final Paper (Camera Ready) Submission & Early Bird Registration Deadline |
|
February 14, 2022 |
| Conference Dates |
|
March 15-16, 2022 |
| Ammar Al-Bazi |
Coventry University , GB |
| Ehsan Nadernejad |
Dyson Technology Ltd., GB |
| Hongying Meng |
Brunel University London, GB |
| 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 |
| Rushit Dave |
University Of Wisconsin Eau Claire, US |
| Akansha Kumar |
Texas A&M University, US |
| 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 |
| 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 |
| Mohammed Korayem |
CareerBuilder, LLC., US |
| You Lu |
Schlumberger, US |
| Participation Type |
Early Registration Ticket Fees |
Registration Ticket Fees |
| Non-Student Oral/Poster Presenter Registration |
€ 450 |
€ 500 |
| Student Oral/Poster Presenter Registration |
€ 350 |
€ 400 |
| Listener Registration |
€ 250 |
€ 300 |
| Additional Paper Publication |
€ 100 |
All conference materials and services will be delivered digitally to the participant with the online conference management system.
Conference registration includes the following digital materials and services:
- e-certificates [for Authors: Certificate of Attendance and Presentation; for Listeners: Certificate of Attendance; for Chairs: Certificate of Attendance and Appreciation; for Presenters: Certificate of Best Presentation (if conferred based appraisal)]
- e-program
- e-book
- e-name badge
- e-receipt
- e-presentation
Presentation Types:
-
Physical presentation is an oral conferencing presentation that is made using digital technology including embedded digital elements ( texts, tables, graphs, or videos ) for PowerPoint sharing.
-
Digital presentation is a digital conferencing presentation that is made using digital technology including embedded digital elements ( texts, tables, graphs, or videos ) for PowerPoint sharing.
Early Bird Registration
Early Bird registration is valid until 2022-02-14 23:59:59
Online Credit Card Processing
Online payment option available for author
and listener delegates.
Conference participants can make online credit card payments for conference registration fees.
