📢 Latest Update: Is the UGC CARE List Still Valid in 2026? New Guidelines for Selecting Peer-Reviewed Journals View Now

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 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.

View full focus & scope More

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

View Full Editorial Board

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

Interactive Visualization and Analysis of Sorting Algorithms

This paper describes a complete review of pedagogical barriers to teaching algorithms, including the development of an interactive visualization and analysis tool in Java to represent three commonly used sorting algorithms: Quick Sort, Merge Sort, and Heap Sort.

Sorting algorithms, visualization, Quick Sort, Merge Sort, Heap Sort, educational technology, performance analysis, Java, interactive learning, algorithm animation

A Comprehensive Review of Durable State Persistence Techniques for Resilient API Calls in Kubernetes-Based Microservices

Kubernetes lets teams scale microservices and replace pods almost without notice.

Kubernetes microservices, durable execution, state persistence, workflow orchestration, fault tolerance, resilient API calls

Interactive Visualization and Analysis of Sorting

This paper describes a complete review of pedagogical barriers to teaching algorithms, including development of an interactive visualization and analysis tool in Java to represent three commonly used sorting algorithms: Quick Sort, Merge Sort, and Heap Sort.

Sorting Algorithms, Visualization, Quick Sort, Merge Sort, Heap Sort, Educational Technology, Performance Analysis, Java, Interactive Learning, Algorithm Animation

Traversal Speed Comparison of BFS and DFS in Balanced and Skewed Binary Trees

In this paper, we provide an analysis of how well both breadth-first search (BFS) and depth-first search (DFS) algorithms perform while wandering through two kinds of binary trees: balanced and skewed.

BFS, DFS, Binary Tree, Balanced Tree, Skewed Tree, File System Indexing, Python, Algorithm Performance.

Improving Dataset Integrity Through Automated Data Cleaning Techniques

High-quality data is a fundamental requirement in data science for producing trustworthy analytical insights and effective machine learning models.

Data quality, data cleaning automation, machine learning workflows, outlier detection, imputation techniques, duplicate detection, data profiling

Learning Data Structures: Key to Good Programming

Data structures are the most crucial feature of good programming and are needed to solve hard computational problems. This model makes use of two different recurrent neural network architectures, specifically long short-term memory (LSTM), and gated recurrent unit (GRU) networks.

Data structures, algorithms, time/space complexity, programming efficiency, problem resolution, computing performance
Support