Hybrid Auto ML Models for Intelligent Fault Detection in IoT Systems Sai Karan Deja Volume 2, Issue 9, Pages 1-6, September 2025 The detection of anomalies in Smart IoT Sensor Networks (SISNs) plays a critical role in identifying unusual events or behaviors that may signal security vulnerabilities or operational inefficiencies. Traditional rule-based detection methods are often insufficient due to the dynamic, heterogeneous, and rapidly evolving nature of IoT ecosystems. In contrast, machine learning (ML) techniques ha... Read More Article DOI: doi.org/10.47001/CJESR/2025.209001
Digital Disruption in Indian Banking: Recent Developments and Future Direction Anu Joseph Manual Sherin Volume 2, Issue 9, Pages 7-10, September 2025 Over the past two decades, the Indian banking sector has experienced substantial technological advancement and has played a significant role in supporting the country’s economic growth. This study examines recent developments and the broader landscape of technological innovations within Indian banks, with particular emphasis on digital transformation initiatives, emerging technologies, and ... Read More Article DOI: doi.org/10.47001/CJESR/2025.209002
A Strategic BI Framework for Continuous Quality Monitoring in Higher Education Institutions Piyush Chaudhary Shivam shukla Volume 2, Issue 9, Pages 11-14, September 2025 This study aims to examine the implementation of Business Intelligence (BI) systems within Higher Education Institutions (HEIs) in India to strengthen and streamline Quality Assurance (QA) processes. It provides a comprehensive analysis of the current QA ecosystem in Indian higher education, identifies institutional and operational challenges, and evaluates the role of BI and advanced analyti... Read More Article DOI: doi.org/10.47001/CJESR/2025.209004
Machine Learning and Evolutionary Algorithms for Energy Generation Efficiency Improvement Carlo Bautista Maria Angela Garcia Volume 2, Issue 9, Pages 15-19, September 2025 The importance of renewable energy is underscored by the existing energy deficit, which poses significant challenges to the sustainable development of the human population. In this research article, the authors have developed a renewable energy resource optimizer using a simple random forest classifier, achieving an impressive accuracy of 95% during the testing phase. The study analyzes CSV d... Read More Article DOI: doi.org/10.47001/CJESR/2025.209004
Architecture and Deployment of a Cloud-Enabled Education Platform Using AWS G Ajith Kumar Rajendra Prasad Reddy Chandrasekaran S Volume 2, Issue 9, Pages 20-24, September 2025 The rapid digital transformation of the education sector has accelerated the shift toward scalable and technology-driven online learning ecosystems. This project presents a comprehensive Cloud-Based Educational Platform deployed on Amazon Web Services (AWS), delivering a secure, elastic, and highly available infrastructure tailored for modern academic environments. The proposed system facilit... Read More Article DOI: doi.org/10.47001/CJESR/2025.209005
