STM Journals Peer-reviewed research from Consortium e-Learning Network

2 publications

  • Published Subscription Original Research

    Hybrid Approach for Community Detection Using Deep Learning Techniques

    By S. Srividhya, Dr. Lavanya S.R

    Abstract: Community detection in complex networks is a fundamental problem with applications across diverse domains, ranging from social networks to biological systems and beyond. Traditional methods based on graph theory have been widely used for identifying communities within networks. However, the intricate and evolving nature of modern networks demands more sophisticated approaches. This research work proposes a hybrid approach that combines the strengths of deep learning techniques with traditional community detection …

    Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 3, 2024 · pp. 18–26 Read article

  • Published Subscription Original Research

    Autism Spectrum Disorder Prediction Using Classification Techniques: A Comparative Analysis

    By S. Srividhya, Lavanya S.R.

    Abstract: Autism spectrum disorder (ASD) is a multifaceted neurodevelopmental disorder marked by difficulties in social interaction, communication, and repetitive behaviors. Identifying and addressing ASD early is essential for enhancing the quality of life for those affected. Data mining techniques have emerged as powerful tools in analyzing large datasets to predict and diagnose ASD, aiding in early identification and intervention. This article presents a comprehensive comparative analysis of classification techniques employed in …

    Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 66–71 Read article

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