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Journal of Advanced Database Management & Systems

joadms | E-ISSN: 2393-8730 | Peer-Reviewed | Hybrid Open Access

About the Journal

Journal of Advanced Database Management & Systems Journal of Advanced Database Management & Systems [2393-8730(e)] 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 of Advanced Database Management & Systems (JOADMS): 2393-8730(e) is a peer-reviewed hybrid open-access journal launched in 2014 and research on all facets of

Journal Information

Title:
Journal of Advanced Database Management & Systems
Abbreviation:
JOADMS
Issues Per Year:
3 Issues (Jan-April,May-August,Sept-Dec)
P-ISSN:
2393-8730
Publisher:
116314
DOI:
10.37591/JOADMS
Starting Year:
2014
Subject:
Language:
English
Publication Format:
Hybrid Open Access
Copyright Policy:
CC BY-NC-ND
Type:
Peer-reviewed Journal (Refereed Journal)
Address:

Editorial Board

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joadms maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

Editor in Chief

Editor

Dr. Pokkuluri Kiran Sree, Professor

Andhra University, Andhra Pradesh, India,

Email :

Institutional Profile Link:

Journal: Journal of Advanced Database Management & Systems

Latest Articles

A MERN-Based Crime Management System: Enhancing Crime Reporting and Law Enforcement Collaboration

In the modern digital age, efficient crime management is essential for safeguarding the public and upholding law and order.

Crime management system, data handling, data storage, system functionality, digital crime reporting

Depression Detection Using Machine Learning: A Comprehensive Review

Depression remains one of the most prevalent mental health conditions globally, yet it frequently goes undiagnosed due to the reliance on subjective evaluation methods.

Depression detection, machine learning, mental health, natural language processing, multimodal analysis, explainable AI

Pneumonia Identification Using Explainable Artificial Intelligence

Pneumonia, including tuberculosis (TB), remains one of the leading causes of death worldwide, especially in regions where access to healthcare is limited.

Pneumonia, tuberculosis, deep learning, ResNet50, VGG16, VGG19, Grad-CAM, explainable AI

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

This research work focuses on graph databases, mainly Neo4j databases, in recommendation systems for e-commerce websites.

Graph database, algorithm, data modelling, deep learning, MySQL databases, E-commerce, amazon, Flipkart

A MERN-Based Crime Management System: Enhancing Crime Reporting and Law Enforcement Collaboration

In the modern digital age, efficient crime management is essential for safeguarding the public and upholding law and order.

Crime management system, data handling, data storage, system functionality, digital crime reporting

A Comprehensive Study of Quantum Cryptography

Quantum cryptography has emerged as one of the most promising fields in modern information security, offering innovative solutions that have the potential to transform the future of global cyber-defense.

Quantum cryptography, quantum key distribution, post-quantum algorithms, secure networks, quantum communication systems

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