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ICBDDMA 2021: 15. International Conference on Big Data-Driven Management and Applications

时间：2021-04-15 至 2021-04-16

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ICBDDMA 2021: 15. International Conference on Big Data-Driven Management and Applications
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ICBDDMA 2021: 15. International Conference on Big Data-Driven Management and Applications
会议时间：2021-04-15 至 2021-04-16
会议地点： Cape Town, South Africa,Cape Town,South Africa 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 € 350 € 400
Student Oral/Poster Presenter Registration € 300 € 350
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.

ICBDDMA 2021: 15. International Conference on Big Data-Driven Management and Applications aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Big Data-Driven Management and Applications. 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 Big Data-Driven Management and Applications

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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Big Data-Driven Management and Applications are cordially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

ICBDDMA 2021 has teamed up with the Special Journal Issue on Big Data-Driven Management and Applications. 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. A Study on the Power Control of Wind Energy Conversion System
    Mehdi Nafar, Mohammad Reza Mansouri
  2. 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
  3. Predicting the Success of Bank Telemarketing Using Artificial Neural Network
    Mokrane Selma
  4. Intelligent System and Renewable Energy: A Farming Platform in Precision Agriculture
    Ryan B. Escorial, Elmer A. Maravillas, Chris Jordan G. Aliac
  5. Author Profiling: Prediction of Learners’ Gender on a MOOC Platform Based on Learners’ Comments
    Tahani Aljohani, Jialin Yu, Alexandra. I. Cristea
  6. Normal and Peaberry Coffee Beans Classification from Green Coffee Bean Images Using Convolutional Neural Networks and Support Vector Machine
    Hira Lal Gope, Hidekazu Fukai
  7. Machine Learning Techniques in Bank Credit Analysis
    Fernanda M. Assef, Maria Teresinha A. Steiner
  8. Lung Cancer Detection and Multi Level Classification Using Discrete Wavelet Transform Approach
    V. Veeraprathap, G. S. Harish, G. Narendra Kumar
  9. The Forensic Swing of Things: The Current Legal and Technical Challenges of IoT Forensics
    Pantaleon Lutta, Mohamed Sedky, Mohamed Hassan
  10. 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
  11. Convergence Analysis of Training Two-Hidden-Layer Partially Over-Parameterized ReLU Networks via Gradient Descent
    Zhifeng Kong
  12. Tibyan Automated Arabic Correction Using Machine-Learning in Detecting Syntactical Mistakes
    Ashwag O. Maghraby, Nida N. Khan, Hosnia A. Ahmed, Ghufran N. Brohi, Hind F. Assouli, Jawaher S. Melibari
  13. Uplink Throughput Prediction in Cellular Mobile Networks
    Engin Eyceyurt, Josko Zec
  14. Discussing Embedded versus Central Machine Learning in Wireless Sensor Networks
    Anne-Lena Kampen, Øivind Kure
  15. DocPro: A Framework for Processing Semantic and Layout Information in Business Documents
    Ming-Jen Huang, Chun-Fang Huang, Chiching Wei
Josiah Adeyemo Durban University of Technology, ZA
Chitra Venugopal University of KwaZulu-Natal, ZA
Armstrong Kadyamatimba University of Venda, ZA
Nomusa Dlodlo Council for Scientific and Industrial Research, ZA
Ezendu Ariwa University of Bedfordshire, UK
Elhadj Benkhelifa Staffordshire University, UK
C. Suheyl Ozveren University of Abertay Dundee, UK
Vishal Barot Loughborough University, UK
Hammadi Nait Charif Bournemouth University, UK
Mohammed Rezaul Karim Guildhall College, UK
Chee Seng Chan University of Portsmouth, UK
Zaigham Mahmood University of Derby, UK
Huseyin Seker De Montfort University, UK
Djamila Ouelhadj University of Nottingham, UK
Mohammad Shekaramiz Utah Valley University, US
Sue Feldman University of Alabama, US
Chung Hyun Goh University of Texas at Tyler, US
Akilesh Rajavenkatanarayanan The University of Texas at Arlington, US
Lekshmy Sankar University of Denver, 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
Hamza Saad Binghamton University, US
Faezehossadat Khademi Illinois Institute of Technology, 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
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   March 16, 2021
Conference Dates   April 15-16, 2021
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