Conference Code: 20MV02ICCMDMDMI
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.
ICCMDMDMI 2020: International Conference on Computer Modelling in Decision Making and Decision Making in Insurance 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 Modelling in Decision Making and Decision Making in Insurance. 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 Modelling in Decision Making and Decision Making in Insurance.
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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Computer Modelling in Decision Making and Decision Making in Insurance 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.
WASET
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
ICCMDMDMI 2020 has teamed up with the Special Journal Issue on
Computer Modelling in Decision Making and Decision Making in Insurance.
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.
Important Dates
| Abstracts/Full-Text Paper Submission Deadline |
|
December 30, 2019 |
| Notification of Acceptance/Rejection |
|
January 15, 2020 |
| Final Paper (Camera Ready) Submission & Early Bird Registration Deadline |
|
January 18, 2020 |
| Conference Dates |
|
February 17 - 18, 2020 |
Important Notes
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 GUIDE before submitting your paper.
Selected Conference Papers
1) Deep Learning Based Fall Detection Using Simplified Human PostureKripesh Adhikari, Hamid Bouchachia, Hammadi Nait-Charif 2) Consumer Load Profile Determination with Entropy-Based K-Means AlgorithmIoannis P. Panapakidis, Marios N. Moschakis 3) Using Business Intelligence Capabilities to Improve the Quality of Decision-Making: A Case Study of Mellat BankJalal Haghighat Monfared, Zahra Akbari 4) Comparison of Machine Learning Models for the Prediction of System Marginal Price of Greek Energy MarketIoannis P. Panapakidis, Marios N. Moschakis 5) Intrapreneurship Discovery: Standard Strategy to Boost Innovation inside CompaniesChiara Mansanta, Daniela Sani 6) Single Valued Neutrosophic Hesitant Fuzzy Rough Set and Its ApplicationK. M. Alsager, N. O. Alshehri 7) Using Textual Pre-Processing and Text Mining to Create Semantic LinksRicardo Avila, Gabriel Lopes, Vania Vidal, Jose Macedo 8) From Electroencephalogram to Epileptic Seizures Detection by Using Artificial Neural NetworksGaetano Zazzaro, Angelo Martone, Roberto V. Montaquila, Luigi Pavone 9) Performance Evaluation of Distributed Deep Learning Frameworks in Cloud EnvironmentShuen-Tai Wang, Fang-An Kuo, Chau-Yi Chou, Yu-Bin Fang 10) Predictive Semi-Empirical NOx Model for Diesel EngineSaurabh Sharma, Yong Sun, Bruce Vernham 11) Classification of Health Risk Factors to Predict the Risk of Falling in Older Adults L. Lindsay, S. A. Coleman, D. Kerr, B. J. Taylor, A. Moorhead 12) Talent Management through Integration of Talent Value Chain and Human Capital Analytics ApproachesWuttigrai Ngamsirijit 13) Machine Learning for Aiding Meningitis Diagnosis in Pediatric PatientsKarina Zaccari, Ernesto Cordeiro Marujo 14) Fast Adjustable Threshold for Uniform Neural Network QuantizationAlexander Goncharenko, Andrey Denisov, Sergey Alyamkin, Evgeny Terentev 15) An Automated Stock Investment System Using Machine Learning Techniques: An Application in AustraliaCarol Anne Hargreaves
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