Journal of Advanced Database Management & Systems

Computer/IT ISSN 2393-8730 3 issues a year Hybrid open access

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About the journal

Journal of Advanced Database Management & Systems is a peer-reviewed hybrid open-access journal launched in 2014 and research on all facets of database management, systems analysis and design, and software engineering. The primary origin of this journal is to be instrumental in the improvement and development of theory and practice related to information technology and the management of information resources. The journal is targeted at academic researchers and practicing IT professionals.

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Journal metrics

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  • 42Articles published
  • 6Published in 2026
  • 122Authors
  • 2Open access

Journal information

Title
Journal of Advanced Database Management & Systems
Issues per year
3 issues
ISSN
2393-8730
Publisher
STM Journals
DOI
10.37591/JoADMS
Starting year
2024
Subject
Computer/IT
Publication format
Hybrid open access
Language
English
Type
Peer-reviewed journal (refereed)

Indexed in

Editorial board

  • Editor-in-Chief

    Dr. Pokkuluri Kiran Sree

    Department of Computer Science and Systems Engineering, Andhra University, India

  • Associate Editor-in-Chief

    Dr. Rajesh R

    Statistics and Data Science, CHRIST(Deemed to be University), India

All 8 board members →

Latest articles

  • Published Subscription Review Article

    A Review on Tailor Craft E-Commerce: Design, Implementation and Evaluation

    Abstract: The rapid growth of e-commerce has transformed how consumers purchase products and interact with businesses. In particular, the clothing and fashion industry has embraced digital platforms to extend its reach, improve accessibility, and offer convenience to customers. However, challenges such as unclear product information, insecure payment methods, poor user experience, and inefficient order tracking still limit customer satisfaction in many platforms. The Tailor Craft E-Commerce project aims to bridge these …

    Published in Journal of Advanced Database Management & Systems · Vol. 13, Issue 1, 2026 Read article

  • Published Subscription Review Article

    A Comprehensive Study of Risk-Adaptive Access Control in Advanced Database Management Systems

    Abstract: The current control methods for accession of a crucial resource often struggle to provide adequate security in dynamic and complex advanced database management systems (DBMS). These static models lack the flexibility to adapt to evolving threats and contextual changes, leaving potential vulnerabilities. Risk-Adaptive Access Control (RadAC) emerges as a sophisticated solution, integrating real-time risk assessment into authorization decisions to dynamically adjust access permissions. This review article provides a comprehensive study …

    Published in Journal of Advanced Database Management & Systems · Vol. 13, Issue 1, 2026 Read article

  • Published Subscription Review Article

    A Review of Locking Protocols for Concurrency Control in Parallel Databases

    Abstract: In modern database systems, many transactions may run at the same time. When several users try to access the same data or update the data simultaneously, then it creates a problem such as inconsistency data, lost updates or misinformation and may lead to conflicts between the transactions and deadlocks. To avoid these types of issues and maintain the correctness of the database, concurrency control protocols are mainly used. This paper …

    Published in Journal of Advanced Database Management & Systems · Vol. 13, Issue 2, 2026 Read article

  • Published Subscription Review Article

    A Review of XML Technologies for Enhancing Security in Advanced Database Management Systems

    Abstract: The integration of Extensible Markup Language (XML) technologies into advanced database management systems (DBMS) has revolutionized data storage, retrieval, and security paradigms. This comprehensive review examines the critical role of XML-based security mechanisms in protecting sensitive data within contemporary database environments. The study explores various XML security technologies, including XML encryption, XML digital signatures, XML access control models, and XML firewalls, analyzing their implementation strategies and effectiveness in mitigating database …

    Published in Journal of Advanced Database Management & Systems · Vol. 13, Issue 1, 2026 Read article

  • Published Subscription Review Article

    Optimizing Airline Efficiency Using Big Data and Predictive Analytics

    Abstract: Recent technological advancements have resulted in the generation of vast volumes of data across industries, including the airline sector, supporting operational control and service quality. Big Data Analytics (BDA) enables organizations to analyze large and complex datasets to derive actionable insights that support informed decision – making and superior operational performance. This review paper systematically analyzes twenty relevant research studies to explore the application of Big Data Analytics (BDA) within …

    Published in Journal of Advanced Database Management & Systems · Vol. 13, Issue 1, 2026 Read article

  • Published Subscription Original Research

    Blockchain-Based Smart Agri-Food Supply Chain Management System with User-Centric Design for Enhanced Consumer Trust

    Abstract: Existing blockchain-based solutions for agri-food supply chains primarily focus on internal traceability and efficiency while neglecting consumer-facing functionalities. Building consumer trust requires not only a secure and transparent supply chain but also user-friendly interfaces for easy access to product information and journey tracking. This study addresses this gap by implementing a blockchain-based agri-food supply chain system with a user-centric design. Beyond internal transparency, the system features an intuitive consumer interface …

    Published in Journal of Advanced Database Management & Systems · Vol. 13, Issue 1, 2026 Read article

  • Published Subscription Review Article

    Pneumonia Identification Using Explainable Artificial Intelligence

    Abstract: Pneumonia, including tuberculosis (TB), remains one of the leading causes of death worldwide, especially in regions where access to healthcare is limited. Early and accurate diagnosis is critical for effective treatment and better patient outcomes, but traditional methods are time-consuming and require specialized expertise. This study explores the use of advanced deep learning models VGG16, VGG19, and ResNet50 to detect pneumonia and TB from chest X-ray images. By leveraging transfer …

    Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 3, 2025 · pp. 01–11 Read article

  • Published Subscription Original Research

    An Analysis of Graph Database in Data Modelling and Analysis for a Recommendation System

    Abstract: This research work focuses on graph databases, mainly Neo4j databases, in recommendation systems for e-commerce websites. The importance of research is that it explains how graph databases efficiently handle the complex relationship between user-items, which is difficult for traditional databases. Sparsity, limited diversity, and high setup costs are the challenges traditional databases face. This research work overcomes these problems using Ne04j with Cypher query language and graph algorithms (PageRank, Shortest …

    Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 3, 2025 · pp. 33–39 Read article

All 42 articles in this journal →

Ahead of print

Accepted and online before they are assigned to an issue.

  • Published Ahead of print Open access Article

    Loan Prediction Using Random Forest Algorithm

    Abstract: With the growth of the banking sector, more and more people are applying for bank loans. All of these loans are not allowed. The principal income of bank assets arises from the interest earned on the loan. Bank profit or loss depends largely on the amount of the loan, i.e., whether customers pay off the loan or fail. The main purpose of banks is to invest their assets in secure …

    Published in Journal of Advanced Database Management & Systems Read article

  • Published Ahead of print Open access Article

    Analysis of E-Health Monitoring Systems and its uses

    Abstract: Health care has been one of the most crucial topic post COVID-19 era. Researches have shown that people are more aware about their health now and are starting to take it seriously. Hence even the healthcare system is now extended to online and electronics medium to provide assistant to people. Ehealth can provide assistant to people without any time and geographical bounds. This paper will be used to understand the …

    Published in Journal of Advanced Database Management & Systems Read article

Archive on its own page →

Volume 13 (2026) 6 articles

Volume 12 (2025) 19 articles

Volume 11 (2024) 15 articles

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