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ICCIBS 2020: 14. International Conference on Computational Intelligence and Business Studies

时间:2020-12-28 至 2020-12-29

ICCIBS 2020: 14. International Conference on Computational Intelligence and Business Studies
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ICCIBS 2020: 14. International Conference on Computational Intelligence and Business Studies
会议时间:2020-12-28 至 2020-12-29
会议地点: Paris, France,Bali,Indonesia 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.

ICCIBS 2020: 14. International Conference on Computational Intelligence and Business Studies aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Computational Intelligence and Business Studies. 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 Computational Intelligence and Business Studies

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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Computational Intelligence and Business Studies are cordially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

ICCIBS 2020 has teamed up with the Special Journal Issue on Computational Intelligence and Business Studies. 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. Author Profiling: Prediction of Learners’ Gender on a MOOC Platform Based on Learners’ Comments
    Tahani Aljohani, Jialin Yu, Alexandra. I. Cristea
  2. Normal and Peaberry Coffee Beans Classification from Green Coffee Bean Images Using Convolutional Neural Networks and Support Vector Machine
    Hira Lal Gope, Hidekazu Fukai
  3. Machine Learning Techniques in Bank Credit Analysis
    Fernanda M. Assef, Maria Teresinha A. Steiner
  4. Lung Cancer Detection and Multi Level Classification Using Discrete Wavelet Transform Approach
    V. Veeraprathap, G. S. Harish, G. Narendra Kumar
  5. Convergence Analysis of Training Two-Hidden-Layer Partially Over-Parameterized ReLU Networks via Gradient Descent
    Zhifeng Kong
  6. Stochastic Optimization of a Vendor-Managed Inventory Problem in a Two-Echelon Supply Chain
    Bita Payami-Shabestari, Dariush Eslami
  7. AniMoveMineR: Animal Behavior Exploratory Analysis Using Association Rules Mining
    Suelane Garcia Fontes, Silvio Luiz Stanzani, Pedro L. Pizzigatti Corrła Ronaldo G. Morato
  8. Adaptive Envelope Protection Control for the below and above Rated Regions of Wind Turbines
    Mustafa Sahin, İlkay Yavrucuk
  9. Key Performance Indicators of Cold Supply Chain Practices in the Agriculture Sector: An Empirical Study on Egyptian Export Companies
    Ahmed Barakat, Nourhan A. Saad, Mahmoud Hammad
  10. Churn Prediction for Telecommunication Industry Using Artificial Neural Networks
    Ulas Vural, M. Ergun Okay, E. Mesut Yildiz
  11. Association Rules Mining and NOSQL Oriented Document in Big Data
    Sarra Senhadji, Imene Benzeguimi, Zohra Yagoub
  12. Using Business Intelligence Capabilities to Improve the Quality of Decision-Making: A Case Study of Mellat Bank
    Jalal Haghighat Monfared, Zahra Akbari
  13. An IM-COH Algorithm Neural Network Optimization with Cuckoo Search Algorithm for Time Series Samples
    Wullapa Wongsinlatam
  14. From Electroencephalogram to Epileptic Seizures Detection by Using Artificial Neural Networks
    Gaetano Zazzaro, Angelo Martone, Roberto V. Montaquila, Luigi Pavone
  15. Performance Evaluation of Distributed Deep Learning Frameworks in Cloud Environment
    Shuen-Tai Wang, Fang-An Kuo, Chau-Yi Chou, Yu-Bin Fang
Aicha Aguezzoul University of Lorraine, FR
Nebras Gharbi Artois University, FR
Taghipour Atour university of le havre, FR
Adel Aloui ISTEC Institute of Higher Education in Business and Marketing, FR
Boussaid Omar Lyon 2, FR
ALKHATIB Hasan Paul Cézanne University, FR
Hajjam el Hassani Amir Unersity of Technology of Belfort - Montbeliard, FR
Ezendu Ariwa University of Bedfordshire, UK
Satya Shah University of Greenwich, UK
Hammadi Nait Charif Bournemouth University, UK
Mohammed Rezaul Karim Guildhall College, UK
Huseyin Seker De Montfort University, UK
Ahmad Lotfi Nottingham Trent University, UK
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
Shanshan Tuo xAd Inc, US
Mohammed Korayem CareerBuilder, LLC., US
Sandeep Reddivari University of North Florida, US
Yu Zhang EMC Corporation, US
Srikanth Gururajan West Virginia University, US
Fan Wang Microsoft Corporation, US
Venkat Krishnan Iowa State University, US
Victor Sheng University of Central Arkansas, US
BIN SONG Oracle America, Inc, US
Guoxiang Liu University of North Dakota, US
Suresh Kamath MetLife Inc, US
Thierry Rakotobe - Joel Ramapo College of New Jersey, US
Mona Elshinawy Howard University, US
Ashish Chawla University of Texas at Arlington, US
会议日程
Abstracts/Full-Text Paper Submission Deadline   November 17, 2020
Notification of Acceptance/Rejection   December 01, 2020
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   November 29, 2020
Conference Dates   December 28-29, 2020
参会指南
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