International Journal of Algorithms Design and Analysis Review

Latest articles

• Published Subscription Original Research 20 Jul 2026

  Recent Routing Protocols in UAV Networks: Classifications, Challenges, and Future Directions

  By Ali H. Wheeb

  Abstract: Routing protocols enable reliable communication in Unmanned Aerial Vehicle (UAV) networks, particularly Flying Ad-hoc Networks (FANETs), amid high-speed 3D mobility, dynamic topologies, and energy limits. Key challenges include intermittent links due to mobility, limited energy resources, variable network density, and the need to minimize end-to-end delay while maximizing throughput and fault tolerance. This paper classifies recent UAV routing protocols into topology-based routing protocols, position-based routing protocols, and hierarchical-based routing protocols. …

  Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 2, 2026 Read article →

• Published Subscription Review Article 2 Jun 2026

  A Dynamic Text Compression Model for Big Data Applications Using Hadoop

  By Vanisha Mavi

  Abstract: In today’s data-driven era, efficiently handling vast amounts of information has become increasingly important. Data compression plays a vital role in this regard — it is essentially a method of encoding information in such a way that significantly reduces the number of bits required to store or transmit a file. By shrinking data to its most compact form, compression techniques help save storage space, reduce bandwidth consumption, and improve the …

  Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 2, 2026 Read article →

• Published Subscription Review Article 28 Apr 2026

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

  By Sathi Lakshmi Teja Sri, Manas Kumar Yogi

  Abstract: The rebuilding of phylogenetic trees for marine species shows major computing problems because of the massive genomic data and the huge biodiversity inherent in ocean ecosystems. Traditional phylogenetic methods are accurate but become more expensive when they are processing with thousands of marine taxa parallelly. This article shows a critical analysis of parallel greedy algorithms as an adaptable solution for large-scale marine phylogenetics. It examines the main principles of greedy …

  Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 33–45 Read article →

• Published Subscription Review Article 27 Apr 2026

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

  By Rupali Jadhav, Piyush Girase

  Abstract: Most contemporary digital learning environments encounter persistent challenges when it comes to accurately identifying students who are at-risk of academic underperformance. These challenges often arise due to limited visibility in learners’ engagement levels and gaps in conceptual understanding, particularly during the early stages of a course. To address this issue, the present study proposes an early prediction framework that leverages comprehensive student-related data through the application of machine learning techniques. …

  Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 16–21 Read article →

• Published Subscription Original Research 20 Mar 2026

  Explainable Sentiment Mining Model in Mental Health Forums for Emotion Classification and Justification

  By Aditi Biswas, Surendra Kumar Yadav, Shruti Mathur

  Abstract: Understanding and interpreting emotions expressed in online mental health discussions plays a crucial role in enabling early detection of psychological distress and facilitating timely interventions. As individuals increasingly turn to digital platforms to share personal experiences and seek support, automated systems capable of accurately identifying emotional states can significantly assist clinicians, moderators, and support communities. This paper presents a deep learning–based sentiment mining and emotion classification framework specifically designed to …

  Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 22–32 Read article →

• Published Subscription Review Article 20 Feb 2026

  Enhancing Smart Grid Resilience Through AI-Based Fault Classification

  By Alok Prasad, Alok Kumar

  Abstract: Traditional power grids can be developed into smart grids, and they are comprised of the latest information and communication technologies (ICTs), which are based on establishing the relationship between the conventional electricity systems along with the usage of smart meters and distributed generation. This dynamic improves energy efficiency and the integration of renewables. Well, the dynamic and reversible power injection from Distributed Energy Resources (DERs) creates substantial operational problems. These …

  Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 10–15 Read article →

• Published Subscription Original Research 18 Nov 2025

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

  By Shravani B. Nikam, Ishika B. Mulekar, Diya A. Deshmukh, Sanuja K. Khutale, Neelima S. Ambekar

  Abstract: The rapid expansion of digital communication has resulted in an unprecedented volume of consumer-generated textual data across online reviews, social media platforms, forums, and e-commerce websites. Extracting meaningful insights from this data is increasingly important for organizations seeking to understand customer opinions, preferences, and behavioral trends. Despite significant advances in sentiment analysis, many existing approaches primarily focus on surface-level features and often overlook deeper syntactic and semantic relationships within text. …

  Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 01–09 Read article →

• Published Subscription Review Article 8 Sep 2025

  AI and Access to Justice: An Indian Perspective

  By Suruchi, Vikram Singh, Sanjay Dahiya

  Abstract: Artificial intelligence is set to transform the legal profession, influencing everything from legal research and document review to legal advice and decision-making. This study investigates the possible uses of AI in the legal area, such as predictive analytics and AI-powered legal research tools. This study explains the role of AI in Judicial Systems. The study covers the related literature, challenges and opportunities in Indian judicial system. The usage of AI …

  Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 2, 2025 · pp. 30–37 Read article →

All 37 articles in this journal →