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ICVBDDA 2021: 15. International Conference on Vehicle Big Data and Data Analytics

时间：2021-03-04 至 2021-03-05

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ICVBDDA 2021: 15. International Conference on Vehicle Big Data and Data Analytics
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ICVBDDA 2021: 15. International Conference on Vehicle Big Data and Data Analytics
会议时间：2021-03-04 至 2021-03-05
会议地点： Rio de Janeiro, Brazil,Paris,France 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.

ICVBDDA 2021: 15. International Conference on Vehicle Big Data and Data Analytics aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Vehicle Big Data and Data Analytics. 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 Vehicle Big Data and Data Analytics

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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Vehicle Big Data and Data Analytics are cordially invited for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

ICVBDDA 2021 has teamed up with the Special Journal Issue on Vehicle Big Data and Data Analytics. 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.

Application Forms

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. Government (Big) Data Ecosystem: Definition, Classification of Actors, and Their Roles
    Syed Iftikhar Hussain Shah, Vasilis Peristeras, Ioannis Magnisalis
  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. Uplink Throughput Prediction in Cellular Mobile Networks
    Engin Eyceyurt, Josko Zec
  7. Discussing Embedded versus Central Machine Learning in Wireless Sensor Networks
    Anne-Lena Kampen, Øivind Kure
  8. DocPro: A Framework for Processing Semantic and Layout Information in Business Documents
    Ming-Jen Huang, Chun-Fang Huang, Chiching Wei
  9. Development of Fake News Model Using Machine Learning through Natural Language Processing
    Sajjad Ahmed, Knut Hinkelmann, Flavio Corradini
  10. A Machine Learning Based Framework for Education Levelling in Multicultural Countries: UAE as a Case Study
    Shatha Ghareeb, Rawaa Al-Jumeily, Thar Baker
  11. Association Rules Mining and NOSQL Oriented Document in Big Data
    Sarra Senhadji, Imene Benzeguimi, Zohra Yagoub
  12. Reduction of Energy Consumption Using Smart Home Techniques in the Household Sector
    Ahmed Al-Adaileh, Souheil Khaddaj
  13. Deep Learning Based Fall Detection Using Simplified Human Posture
    Kripesh Adhikari, Hamid Bouchachia, Hammadi Nait-Charif
  14. Estimating the Traffic Impacts of Green Light Optimal Speed Advisory Systems Using Microsimulation
    C. B. Masera, M. Imprialou, L. Budd, C. Morton
  15. Comparison of Machine Learning Models for the Prediction of System Marginal Price of Greek Energy Market
    Ioannis P. Panapakidis, Marios N. Moschakis
Francielle Vargas University of Sao Paulo, BR
Chee Seng Chan University of Portsmouth, UK
Mohammad Shekaramiz Utah Valley University, 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
Samir Iqbal University of Texas Rio Grande Valley, 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
Yizhen Liu Research Institue of Huawei at U.S., US
Mohammed Korayem CareerBuilder, LLC., US
Prudhvi Janga University of Cincinnati, US
Jia Hu Philips Research North America, US
Yu Zhang EMC Corporation, US
Victor Sheng University of Central Arkansas, US
Sugam Sharma Iowa State University, US
Jing Hu Franklin & Marshall College, US
Jung Hun Oh Washington University in St. Louis, US
Zhi Wei New Jersey Institute of Technology, US
Jacqueline Fairley Emory University, US
Asli Celikyilmaz University of California at Berkeley, US
Mariofanna Milanova University of Arkansas at Little Rock, US
Feng Niu Automated Precision Inc., US
Asha K. St. Thomas College, IN
会议日程
Abstracts/Full-Text Paper Submission Deadline   January 06, 2020
Notification of Acceptance/Rejection   January 28, 2020
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   February 04, 2021
Conference Dates   March 04-05, 2021
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