Conference Code: 22TR07ICMVM
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.
ICMVM 2022: International Conference on Machine Vision and Mechatronics 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 Vision and Mechatronics. 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 Vision and Mechatronics.
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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Machine Vision and Mechatronics are cordially invited for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
ICMVM 2022 has teamed up with the Special Journal Issue on
Machine Vision and Mechatronics.
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 |
|
April 15, 2020 |
| Notification of Acceptance/Rejection |
|
April 30, 2020 |
| Final Paper (Camera Ready) Submission & Early Bird Registration Deadline |
|
March 29, 2022 |
| Conference Dates |
|
July 29 - 30, 2022 |
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) 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 2) Author Profiling: Prediction of Learners’ Gender on a MOOC Platform Based on Learners’ CommentsTahani Aljohani, Jialin Yu, Alexandra. I. Cristea 3) A Hybrid Feature Selection and Deep Learning Algorithm for Cancer Disease ClassificationNiousha Bagheri Khulenjani, Mohammad Saniee Abadeh 4) Automatic Number Plate Recognition System Based on Deep LearningT. Damak, O. Kriaa, A. Baccar, M. A. Ben Ayed, N. Masmoudi 5) The Application of a Neural Network in the Reworking of Accu-Chek to Wrist Bands to Monitor Blood Glucose in the Human BodyJ. K Adedeji, O. H Olowomofe, C. O Alo, S.T Ijatuyi 6) Deep Learning Based Fall Detection Using Simplified Human PostureKripesh Adhikari, Hamid Bouchachia, Hammadi Nait-Charif 7) Consumer Load Profile Determination with Entropy-Based K-Means AlgorithmIoannis P. Panapakidis, Marios N. Moschakis 8) Comparison of Machine Learning Models for the Prediction of System Marginal Price of Greek Energy MarketIoannis P. Panapakidis, Marios N. Moschakis 9) Performance Evaluation of Distributed Deep Learning Frameworks in Cloud EnvironmentShuen-Tai Wang, Fang-An Kuo, Chau-Yi Chou, Yu-Bin Fang 10) Vision-Based Collision Avoidance for Unmanned Aerial Vehicles by Recurrent Neural NetworksYao-Hong Tsai 11) Foot Recognition Using Deep Learning for Knee RehabilitationRakkrit Duangsoithong, Jermphiphut Jaruenpunyasak, Alba Garcia 12) Optimizing the Probabilistic Neural Network Training Algorithm for Multi-Class IdentificationAbdelhadi Lotfi, Abdelkader Benyettou 13) Classification of Health Risk Factors to Predict the Risk of Falling in Older Adults L. Lindsay, S. A. Coleman, D. Kerr, B. J. Taylor, A. Moorhead 14) Predictive Semi-Empirical NOx Model for Diesel EngineSaurabh Sharma, Yong Sun, Bruce Vernham 15) An Automated Stock Investment System Using Machine Learning Techniques: An Application in AustraliaCarol Anne Hargreaves
Similar conferences about
Mechanical and Materials Engineering
