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Current Issue

Volume 1, Issue 1, January–March 2026

Volume 1, Issue 1

January–March 2026 | 8 Articles

🔓 Open Access🔗 DOI Assigned
Computer ScienceVol. 1, Issue 1, 2026

Deep Learning Approaches for Natural Language Understanding in Low-Resource Languages

Dr. Priya Sharma, Prof. Rajesh Kumar

This paper presents a comprehensive study of deep learning techniques applied to natural language understanding tasks in low-resource languages. We propose a novel transfer learning framework that leverages multilingual pre-trained models and demonstrates significant improvements over existing baselines across multiple Indian languages. Our approach achieves state-of-the-art results on sentiment analysis, named entity recognition, and text classification tasks with limited training data.

DOI: 10.XXXXX/ijari.2026.001
Environmental ScienceVol. 1, Issue 1, 2026

Sustainable Urban Water Management: A Framework for Developing Nations

Dr. Ananya Patel, Dr. Mohammed Hussain, Prof. Lakshmi Rao

Water scarcity in urban areas of developing countries demands innovative management strategies. This research proposes a comprehensive framework integrating IoT-based monitoring systems with traditional water harvesting techniques. Field studies conducted across three major Indian cities demonstrate a 35% improvement in water use efficiency. The framework addresses both supply-side and demand-side management, offering scalable solutions for municipalities.

DOI: 10.XXXXX/ijari.2026.002
Information TechnologyVol. 1, Issue 1, 2026

Blockchain-Based Supply Chain Transparency in Pharmaceutical Industry

Dr. Vikram Singh, Dr. Sarah Chen

The pharmaceutical supply chain faces persistent challenges of counterfeit drugs and lack of transparency. This paper proposes a blockchain-based solution using Hyperledger Fabric that ensures end-to-end traceability of drug products. Our prototype implementation demonstrates real-time verification capabilities with sub-second latency, while maintaining regulatory compliance with FDA and WHO guidelines.

DOI: 10.XXXXX/ijari.2026.003
Medical ScienceVol. 1, Issue 1, 2026

Machine Learning Models for Early Detection of Cardiovascular Disease Risk

Dr. Meera Joshi, Prof. David Williams, Dr. Arjun Nair

Cardiovascular diseases remain the leading cause of mortality worldwide. This study develops an ensemble machine learning model combining gradient boosting, random forest, and neural network classifiers for early risk prediction. Using a dataset of 50,000 patient records, our model achieves 94.7% accuracy in identifying high-risk patients, outperforming traditional risk scoring systems by 18%.

DOI: 10.XXXXX/ijari.2026.004
Electrical EngineeringVol. 1, Issue 1, 2026

Renewable Energy Integration Challenges in Smart Grid Architecture

Prof. Suresh Menon, Dr. Elena Rodriguez

The integration of renewable energy sources into existing smart grid infrastructure poses significant technical challenges. This paper analyzes voltage stability, frequency regulation, and power quality issues arising from high renewable penetration. We propose a hybrid energy storage system combined with advanced predictive algorithms that effectively mitigates intermittency challenges, demonstrating 99.2% grid stability in simulated environments.

DOI: 10.XXXXX/ijari.2026.005
Environmental ScienceVol. 1, Issue 1, 2026

Impact of Microplastics on Marine Biodiversity: A Meta-Analysis

Dr. Kavitha Sundaram, Dr. James Thompson, Dr. Fatima Al-Hassan

Microplastic pollution in marine environments has reached alarming levels globally. This meta-analysis synthesizes data from 127 peer-reviewed studies spanning 2018-2025 to quantify the impact on marine biodiversity. Our findings reveal a statistically significant correlation between microplastic concentration and species diversity decline, with benthic organisms showing the highest vulnerability. We provide recommendations for policy interventions based on regional risk assessments.

DOI: 10.XXXXX/ijari.2026.006
Computer ScienceVol. 1, Issue 1, 2026

Quantum Computing Applications in Cryptographic Security Protocols

Dr. Arun Krishnamurthy, Prof. Maria Santos

The advent of practical quantum computing threatens existing cryptographic protocols. This paper evaluates the vulnerability of current encryption standards to quantum attacks and proposes post-quantum cryptographic solutions. We implement lattice-based encryption algorithms that demonstrate resistance to Shor's algorithm while maintaining computational efficiency suitable for real-time communication systems.

DOI: 10.XXXXX/ijari.2026.007
EducationVol. 1, Issue 1, 2026

Pedagogical Innovation Through Gamification in Higher Education

Dr. Neha Gupta, Prof. Robert Anderson, Dr. Sanjay Verma

Gamification has emerged as a promising pedagogical strategy for enhancing student engagement in higher education. This study examines the implementation of game-based learning modules across five universities, involving 2,400 students. Results indicate a 42% increase in student participation, 28% improvement in assignment completion rates, and significantly higher satisfaction scores compared to traditional lecture-based approaches.

DOI: 10.XXXXX/ijari.2026.008