Institution

Manonmaniam Sundaranar University

INeducation

Recent research

  • Climate & EnvironmentOpen access

    Spectral index and machine learning-based evaluation of coastal urban thermal dynamics using google earth engine

    Abstract This present study introduces a cloud-based geospatial and machine learning framework for assessing coastal urban heat island (UHI) dynamics in Thoothukudi coastal region, Southern India, using 12 seasonal Landsat composites (2010–2025) processed through Google Earth Eng...

    Scientific Reports2026-10-030 citationsDOI
  • Health & MedicineOpen access

    Parental Awareness and its Role in Promoting the Health and Well-Being of Anganwadi Children

    Abstract Early childhood is a decisive period for establishing the foundations of physical growth, cognitive development, emotional security, social competence and readiness for learning. Anganwadi Centres in India provide an important community platform for early childhood care,...

    Zenodo (CERN European Organization for Nuclear Research)2026-09-300 citationsDOI
  • Health & MedicineOpen access

    Parental Awareness and its Role in Promoting the Health and Well-Being of Anganwadi Children

    Abstract Early childhood is a decisive period for establishing the foundations of physical growth, cognitive development, emotional security, social competence and readiness for learning. Anganwadi Centres in India provide an important community platform for early childhood care,...

    Zenodo (CERN European Organization for Nuclear Research)2026-09-300 citationsDOI
  • AI & ComputingOpen access

    Graphs of diameter three are recognizable

    A vertex-deleted subgraph (or card ) G − v of a graph G is the unlabelled subgraph obtained from G by deleting the vertex v and all edges incident with v . The collection of all cards of G is the deck of G . A graph H is a reconstruction of G if H has the same deck as G . A graph...

    Discrete Applied Mathematics2026-09-260 citationsDOI
  • Materials & EnergyOpen access

    Integration of density functional theory and machine learning for materials discovery in energy applications

    The global transition toward clean and renewable energy systems demands the rapid identification of novel functional materials for hydrogen production, photocatalysis, CO₂ reduction, and electrochemical energy storage. Traditional experimental trial and error approaches, combined...

    Discover Chemistry.2026-09-220 citationsDOI