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International Journal of Data Structure Studies Cover

International Journal of Data Structure Studies

E-ISSN: 3049-2440 | Peer-Reviewed Journal (Refereed Journal) | Hybrid Open Access

About the Journal

International Journal of Data Structure Studies International Journal of Data Structure Studies is a peer-reviewed hybrid open-access journal launched in 2023 is an international peer-reviewed journal that is concerned to deliver good quality knowledge to readers. Journal accepts original research and review papers and welcomes experimental and theoretical papers of exceptional quality.

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Journal Information

Title: International Journal of Data Structure Studies
Abbreviation: ijdss
Issues Per Year: 2 Issues
E-ISSN: 3049-2440
Publisher: STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd.
DOI: 10.37591/IJDSS
Starting Year: 2023
Subject: Computer Science
Publication Format: Hybrid Open Access
Language: English
Copyright Policy: CC BY-NC-ND
Type: Peer-reviewed Journal (Refereed Journal)

Address:

STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd. A-118, 1st Floor, Sector-63, Noida, U.P. India, Pin - 201301

Editorial Board

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ijdss 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. Dimple Thakar, Assistant Professor

Marwadi University, Gujarat, India, 360005

Email :

Latest Articles

Ahead of Print

Application of B-trees for Design of Optimal Page Replacement Technique in Modern Operating Systems

Algorithms related to replacing the memory pages in operating systems are critical components of modern operating systems that manage virtual memory efficiently.

B-trees, page replacement, virtual memory, operating systems, memory management, cache optimization

Implementing Machine Learning in Data Classification

Data classification forms an essential aspect of artificial intelligence (AI) and soft computing, helping a great deal in the transformation of raw data into knowledge that forms the basis of numerous applications, such as fraud detection, medical diagnostics, and natural language processing.

TensorFlow, F1 score, SVM, CNN, RNN

Securing the Internet of Things: A Survey on Lightweight Blockchain Framework for Enhancing Security and Privacy

Modern technologies, supported by the Internet of Things (IoT), have imparted great speed in data sharing between connected devices across several domains of the economy.

BLoX-IoTs, efficient frameworks, internet of things, IoT security, lightweight blockchain, privacy enhancement, resource efficiency, secure communication

Early Flood Detection and Avoidance Using IoT

This project presents an advanced flood alert system powered by IoT technology, designed to enhance public safety and minimize flood-related damage in high-risk areas.

IoT, flood detection, advanced sensors, devices, ESP32, GSM, LoRa, technology

Semantics Analysis of Expected Goals in Soccer Data Using Machine Learning

In recent years, the increasing availability of soccer data has greatly enhanced the accuracy and depth of player performance evaluation.

Soccer data, player, semantics analysis, machine learning, data preprocessing

IMPLEMENTING MACHINE LEARNING IN DATA CLASSIFICATION

Data classification forms an essential aspect of artificial intelligence (AI) and soft computing, helping a great deal in the transformation of raw data into knowledge that forms the basis of numerous applications, such as fraud detection, medical diagnostics, and natural language processing.

TensorFlow, F1 score, SVM, CNN, RNN