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International Journal of Algorithms Design and Analysis Review Cover

International Journal of Algorithms Design and Analysis Review

E-ISSN: 2584-1866 | Peer-Reviewed Journal (Refereed Journal) | Hybrid Open Access

About the Journal

International Journal of Algorithms Design and Analysis Review International Journal of Algorithms Design and Analysis Review:is a peer-reviewed hybrid open-access journal launched in 2015 that focuses on original research and practice-driven application with relevance to algorithms designs and analysis. All articles included are peer-reviewed by scholars with colossal experience in the same fields. Dynamic programming, amortized analysis, and linear programming are major focus areas.

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Journal Information

Title: International Journal of Algorithms Design and Analysis Review
Abbreviation: ijadar
Issues Per Year: 2 Issues
E-ISSN: 2584-1866
Publisher: STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd.
DOI: 10.37591/IJADAR
Starting Year: 2023
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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ijadar 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. Sharada Patil, Associate Professor

Sinhagad Institute of business Administration and Research, Pune, India, 411048

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Latest Articles

Ahead of Print

Parallel Greedy Approach for Phylogenetic Tree Construction in the Context of Marine Species

The rebuilding of phylogenetic trees for marine species shows major computing problems because of the massive genomic data the huge biodiversity inherent in ocean ecosystems.

Phylogenetic tree reconstruction, Marine genomics, Parallel greedy algorithms, High-performance computing (HPC), Metagenomic datasets, Scalable phylogenetic pipelines

Predictive Analytics and Adaptive Learning: A Machine Learning Framework for Reducing Learning Gaps

Most contemporary digital learning environments encounter persistent challenges when it comes to accurately identifying students who are at risk of academic underperformance.

Machine Learning, Learning Analytics, At-Risk Student Performance, Random Forest, Classification Models, Academic Risk Detection, Predictive Modeling

Aspect-Based Sentiment Analysis Using a Hybrid Approach with Dependency Parsing

The exponential growth of textual data in today’s digital era presents organizations with the challenge of efficiently analyzing consumer-generated content across diverse platforms.

Sentiment analysis, dependency parsing, semantic role labelling, hybrid feature extraction, Bidirectional Encoder Representations from Transformers (BERT), text classification, consumer behavior

AI and Access to Justice: An Indian Perspective

Artificial intelligence is set to transform the legal profession, influencing everything from legal research and document review to legal advice and decision-making.

Judicial system, artificial intelligence, machine learning, deep learning, natural language processing

AI-Based Sentiment Analysis of Public Perception Under Bangabandhu Sheikh Mujibur Rahman

Sheikh Mujibur Rahman, known as Bangabandhu, played a pivotal role in Bangladesh’s post-liberation period (1971–1975).

Sentiment analysis, Bangabandhu, natural language processing, public perception, AI in political analysis

Fake Product Detection Using Convolutional Neural Networks

The widespread circulation of counterfeit products in global markets presents a significant threat to both consumer trust and the integrity of established brands.

Fake product detection, VGG16, convolutional neural network (CNN), image classification, product authentication, deep learning, counterfeit detection