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ICISST 2021: 15. International Conference on Information Sciences, Systems and Technologies

时间:2021-10-07 至 2021-10-08

ICISST 2021: 15. International Conference on Information Sciences, Systems and Technologies
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ICISST 2021: 15. International Conference on Information Sciences, Systems and Technologies
会议时间:2021-10-07 至 2021-10-08
会议地点: New York, United States,New York,United States 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.

ICISST 2021: 15. International Conference on Information Sciences, Systems and Technologies aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Information Sciences, Systems and Technologies. 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 Information Sciences, Systems and Technologies

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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Information Sciences, Systems and Technologies are cordially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

ICISST 2021 has teamed up with the Special Journal Issue on Information Sciences, Systems and Technologies. 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. Resource Leveling Optimization in Construction Projects of High Voltage Substations Using Nature-Inspired Intelligent Evolutionary Algorithms
    Dimitrios Ntardas, Alexandros Tzanetos, Georgios Dounias
  3. Machine Learning Techniques in Bank Credit Analysis
    Fernanda M. Assef, Maria Teresinha A. Steiner
  4. AniMoveMineR: Animal Behavior Exploratory Analysis Using Association Rules Mining
    Suelane Garcia Fontes, Silvio Luiz Stanzani, Pedro L. Pizzigatti Corrła Ronaldo G. Morato
  5. Constant Factor Approximation Algorithm for p-Median Network Design Problem with Multiple Cable Types
    Chaghoub Soraya, Zhang Xiaoyan
  6. The Benefits of End-To-End Integrated Planning from the Mine to Client Supply for Minimizing Penalties
    G. Martino, F. Silva, E. Marchal
  7. A Machine Learning Based Framework for Education Levelling in Multicultural Countries: UAE as a Case Study
    Shatha Ghareeb, Rawaa Al-Jumeily, Thar Baker
  8. Data Integrity: Challenges in Health Information Systems in South Africa
    T. Thulare, M. Herselman, A. Botha
  9. Association Rules Mining and NOSQL Oriented Document in Big Data
    Sarra Senhadji, Imene Benzeguimi, Zohra Yagoub
  10. Transcriptomics Analysis on Comparing Non-Small Cell Lung Cancer versus Normal Lung, and Early Stage Compared versus Late-Stages of Non-Small Cell Lung Cancer
    Achitphol Chookaew, Paramee Thongsukhsai, Patamarerk Engsontia, Narongwit Nakwan, Pritsana Raugrut
  11. From Electroencephalogram to Epileptic Seizures Detection by Using Artificial Neural Networks
    Gaetano Zazzaro, Angelo Martone, Roberto V. Montaquila, Luigi Pavone
  12. A Mean–Variance–Skewness Portfolio Optimization Model
    Kostas Metaxiotis
  13. Using Textual Pre-Processing and Text Mining to Create Semantic Links
    Ricardo Avila, Gabriel Lopes, Vania Vidal, Jose Macedo
  14. Predictive Analysis for Big Data: Extension of Classification and Regression Trees Algorithm
    Ameur Abdelkader, Abed Bouarfa Hafida
  15. A Bayesian Classification System for Facilitating an Institutional Risk Profile Definition
    Roman Graf, Sergiu Gordea, Heather M. Ryan
K. Sivakumar Krishnamoorthy Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya University, IN
Sue Feldman University of Alabama, US
Lekshmy Sankar University of Denver, US
Senthil Kumar Kuppusamy KPIT Technologies Inc, USA, US
Aziz Fellah Northwest Missouri State University, US
Ayush Singhal University of Minnesota, Twin Cities, US
Kuldeep Rawat Elizabeth City State University, US
Wen Zhang Icahn school of medicine at Mount Sinai, US
Thuan Nguyen School of Management - University of Texas at Dallas, US
Shanshan Tuo xAd Inc, US
Zhenyu Zhang Western Digital Corporation, US
Mohammed Korayem CareerBuilder, LLC., US
Prudhvi Janga University of Cincinnati, US
Cheer-Sun Yang West Chester University, US
Sandeep Reddivari University of North Florida, US
Katherine Payne Brigham Young University, US
Yingqin Luo Albert Einstein College of Medicine, US
Yu Zhang EMC Corporation, US
Wei Tao TSI Biocomputing LLC, US
James Nelson New Mexico State University, US
zheng ping University of Alabama at Birmingham, US
Apurva Mohan Honeywell Research Labs, US
Kal Ramnarayan Sapient Discovery, US
Gabriela Alexe Dana-Farber Cancer Institute/Harvard Medical School, US
Chinnappa Kodira GE Global Research Center, US
Manish Anand Salesforce, US
Gwo-Yu Chuang National Institutes of Health, US
Venkatesan Muthukumar University of Nevada Las Vegas, US
Nivirita Nivirita Productions Inc, US
Fan Wang Microsoft Corporation, 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   September 09, 2021
Conference Dates   October 07-08, 2021
参会指南
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