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.
International Conference on Database Integration Systems, Data Management and Analysis
aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of
Database Integration Systems, Data Management and Analysis.
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 Database Integration Systems, Data Management and Analysis.
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Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or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 Database Integration Systems, Data Management and Analysis 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,
BASE,
WorldCAT,
Sherpa/RoMEO,
and other index databases. Impact Factor Indicators.
Special Journal Issues
20. International Conference on Database Integration Systems, Data Management and Analysis has teamed up with the Special Journal Issue on
Database Integration Systems, Data Management and Analysis.
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
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Bridge Health Monitoring: A Review
Mohammad Bakhshandeh
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Privacy Concerns and Law Enforcement Data Collection to Tackle Domestic and Sexual Violence
Francesca Radice
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Metrology-Inspired Methods to Assess the Biases of Artificial Intelligence Systems
Belkacem Laimouche
-
Dynamic Metadata Schemes in the Neutron and Photon Science Communities: A Case Study of X-Ray Photon Correlation Spectroscopy
Amir Tosson, Mohammad Reza, Christian Gutt
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Adding Security Blocks to the DevOps Lifecycle
Andrew John Zeller, Francis Pouatcha
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Enhancing Predictive Accuracy in Pharmaceutical Sales Through an Ensemble Kernel Gaussian Process Regression Approach
Shahin Mirshekari, Mohammadreza Moradi, Hossein Jafari, Mehdi Jafari, Mohammad Ensaf
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Post Pandemic Mobility Analysis through Indexing and Sharding in MongoDB: Performance Optimization and Insights
Karan Vishavjit, Aakash Lakra, Shafaq Khan
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Personalized Applications for Advanced Healthcare through AI-ML and Blockchain
Anuja Vyas, Aikel Indurkhya, Hari Krishna Garg
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Artificial Intelligence Applications in Aggregate Quarries: A Reality
J. E. Ortiz, P. Plaza, J. Herrero, I. Cabria, J. L. Blanco, J. Gavilanes, J. I. Escavy, I. López-Cilla, V. Yagüe, C. Pérez, S. Rodríguez, J. Rico, C. Serrano, J. Bernat
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Adopting Cloud-Based Techniques to Reduce Energy Consumption: Toward a Greener Cloud
Sandesh Achar
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Ensemble Approach for Predicting Student's Academic Performance
L. A. Muhammad, M. S. Argungu
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An Empirical Investigation of Big Data Analytics: The Financial Performance of Users versus Vendors
Evisa Mitrou, Nicholas Tsitsianis, Supriya Shinde
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Organizational Data Security in Perspective of Ownership of Mobile Devices Used by Employees for Works
B. Ferdousi, J. Bari
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Road Safety in Great Britain: An Exploratory Data Analysis
Jatin Kumar Choudhary, Naren Rayala, Abbas Eslami Kiasari, Fahimeh Jafari
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Analyzing Factors Impacting COVID-19 Vaccination Rates
Dongseok Cho, Mitchell Driedger, Sera Han, Noman Khan, Mohammed Elmorsy, Mohamad El-Hajj
