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ICMIBDI 2021: 15. International Conference on Machine Intelligence and Big Data in Industry

时间：2021-02-08 至 2021-02-09

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ICMIBDI 2021: 15. International Conference on Machine Intelligence and Big Data in Industry
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ICMIBDI 2021: 15. International Conference on Machine Intelligence and Big Data in Industry
会议时间：2021-02-08 至 2021-02-09
会议地点： Lisbon, Portugal,Lisbon,Portugal 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.

ICMIBDI 2021: 15. International Conference on Machine Intelligence and Big Data in Industry 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 Intelligence and Big Data in Industry. 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 Intelligence and Big Data in Industry

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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Machine Intelligence and Big Data in Industry are cordially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

ICMIBDI 2021 has teamed up with the Special Journal Issue on Machine Intelligence and Big Data in Industry. 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. Improved Rare Species Identification Using Focal Loss Based Deep Learning Models
    Chad Goldsworthy, B. Rajeswari Matam
  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. Government (Big) Data Ecosystem: Definition, Classification of Actors, and Their Roles
    Syed Iftikhar Hussain Shah, Vasilis Peristeras, Ioannis Magnisalis
  5. Normal and Peaberry Coffee Beans Classification from Green Coffee Bean Images Using Convolutional Neural Networks and Support Vector Machine
    Hira Lal Gope, Hidekazu Fukai
  6. Machine Learning Techniques in Bank Credit Analysis
    Fernanda M. Assef, Maria Teresinha A. Steiner
  7. Automatic Number Plate Recognition System Based on Deep Learning
    T. Damak, O. Kriaa, A. Baccar, M. A. Ben Ayed, N. Masmoudi
  8. Lung Cancer Detection and Multi Level Classification Using Discrete Wavelet Transform Approach
    V. Veeraprathap, G. S. Harish, G. Narendra Kumar
  9. Lexicon-Based Sentiment Analysis for Stock Movement Prediction
    Zane Turner, Kevin Labille, Susan Gauch
  10. The Forensic Swing of Things: The Current Legal and Technical Challenges of IoT Forensics
    Pantaleon Lutta, Mohamed Sedky, Mohamed Hassan
  11. Time Series Simulation by Conditional Generative Adversarial Net
    Rao Fu, Jie Chen, Shutian Zeng, Yiping Zhuang, Agus Sudjianto
  12. 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
  13. Convergence Analysis of Training Two-Hidden-Layer Partially Over-Parameterized ReLU Networks via Gradient Descent
    Zhifeng Kong
  14. Classifying Turbomachinery Blade Mode Shapes Using Artificial Neural Networks
    Ismail Abubakar, Hamid Mehrabi, Reg Morton
  15. Two Concurrent Convolution Neural Networks TC*CNN Model for Face Recognition Using Edge
    T. Alghamdi, G. Alaghband
Bharatiraja Chokkalingam SRM Institute of Science and Technology, IN
Luís Mendes Gomes University of the Azores, PT
António Sousa University of Trás-os-Montes e Alto Douro, PT
Paula Odete Fernandes Polytechnic Institute of Bragança, PT
Luis Manuel Roseiro Universidade de Coimbra, Rua Larga - Edif FMUC (R/C Esq) 3000–504, PT
Hammadi Nait Charif Bournemouth University, UK
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
Yu Zhang EMC Corporation, US
Srikanth Gururajan West Virginia University, 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
Kevin (Jiancheng) Jia International Game Technology, 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   September 30, 2021
Conference Dates   February 08-09, 2021
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