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ICCIMA 2021: 15. International Conference on Computer-Integrated Manufacturing and Automation

时间:2021-02-11 至 2021-02-12

ICCIMA 2021: 15. International Conference on Computer-Integrated Manufacturing and Automation
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ICCIMA 2021: 15. International Conference on Computer-Integrated Manufacturing and Automation
会议时间:2021-02-11 至 2021-02-12
会议地点: Kuala Lumpur, Malaysia,Kuala Lumpur,Malaysia 周边酒店预订

发票类型: 不支持开票
参会凭证:其它

门票信息
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
会议介绍

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.

ICCIMA 2021: 15. International Conference on Computer-Integrated Manufacturing and Automation aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Computer-Integrated Manufacturing and Automation. 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 Computer-Integrated Manufacturing and Automation

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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Computer-Integrated Manufacturing and Automation are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

ICCIMA 2021 has teamed up with the Special Journal Issue on Computer-Integrated Manufacturing and Automation. 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

  1. 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
  2. Real-Time Episodic Memory Construction for Optimal Action Selection in Cognitive Robotics
    Deon de Jager, Yahya Zweiri, Dimitrios Makris
  3. Machine Learning Techniques in Bank Credit Analysis
    Fernanda M. Assef, Maria Teresinha A. Steiner
  4. The Forensic Swing of Things: The Current Legal and Technical Challenges of IoT Forensics
    Pantaleon Lutta, Mohamed Sedky, Mohamed Hassan
  5. 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
  6. Robotic Assistance in Nursing Care: Survey on Challenges and Scenarios
    Pascal Gliesche, Kathrin Seibert, Christian Kowalski, Dominik Domhoff, Max Pfingsthorn, Karin Wolf-Ostermann, Andreas Hein
  7. Uplink Throughput Prediction in Cellular Mobile Networks
    Engin Eyceyurt, Josko Zec
  8. Discussing Embedded versus Central Machine Learning in Wireless Sensor Networks
    Anne-Lena Kampen, Øivind Kure
  9. DocPro: A Framework for Processing Semantic and Layout Information in Business Documents
    Ming-Jen Huang, Chun-Fang Huang, Chiching Wei
  10. Development of Fake News Model Using Machine Learning through Natural Language Processing
    Sajjad Ahmed, Knut Hinkelmann, Flavio Corradini
  11. A Machine Learning Based Framework for Education Levelling in Multicultural Countries: UAE as a Case Study
    Shatha Ghareeb, Rawaa Al-Jumeily, Thar Baker
  12. Deep Learning Based Fall Detection Using Simplified Human Posture
    Kripesh Adhikari, Hamid Bouchachia, Hammadi Nait-Charif
  13. Comparison of Machine Learning Models for the Prediction of System Marginal Price of Greek Energy Market
    Ioannis P. Panapakidis, Marios N. Moschakis
  14. Consumer Load Profile Determination with Entropy-Based K-Means Algorithm
    Ioannis P. Panapakidis, Marios N. Moschakis
  15. Performance Evaluation of Distributed Deep Learning Frameworks in Cloud Environment
    Shuen-Tai Wang, Fang-An Kuo, Chau-Yi Chou, Yu-Bin Fang
Boung Yew Lau Simon Xiamen University Malaysia, MY
Nilam Nur Amir Sjarif Universiti Teknologi Malaysia, MY
Nilam Nur Binti Amir Sjarif Universiti Teknologi Malaysia, MY
Babak Bashari Rad Asia Pacific University of Technology and Innovation, MY
Nurul Amziah Md Yunus Universiti Putra Malaysia, MY
Ashraf Osman Universiti Teknologi Malaysia (UTM), MY
Mohd Murtadha Mohamad Universiti Teknologi Malaysia, MY
Dewi Nasien Universiti of Teknologi Malaysia, MY
Muhammad Sufyian Mohd Azmi University Tenaga Nasional, MY
Madihah Mohd Saudi Universiti Sains Islam Malaysia(USIM), MY
Javed Iqbal UTP Malaysia, MY
Ananda Kumar Eriki Nilai University, MY
Md. Jakir Hossen Jakir Multimedia University, MY
Napsiah Ismail Universiti Putra Malaysia, MY
ELANGO NATARAJAN Kolej Universiti Linton, MY
Mahidzal Dahari University Malaya, MY
Mohd Ashraf Ahmad Universiti Malaysia Pahang, MY
Setyawan Widyarto Universiti Selangor, MY
S. Parasuraman Subra Monash University, MY
Irraivan Elamvazuthi Universiti Teknologi PETRONAS, MY
S. M. Namal Arosha Senanayake Monash University Sunway Campus, MY
Chee Seng Chan University of Portsmouth, UK
Ceci Morales Carnegie Mellon University, US
Mohammad Shekaramiz Utah Valley University, US
Khaled Elbehiery DeVry University, US
Pouria Karimi Shahri University of North Carolina at Charlotte, US
Chung Hyun Goh University of Texas at Tyler, 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
会议日程
Abstracts/Full-Text Paper Submission Deadline   December 15, 2020
Notification of Acceptance/Rejection   December 30, 2020
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   January 11, 2021
Conference Dates   February 11-12, 2021
参会指南
会议地点
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