GNN-ML-FRL: a graph-enhanced meta-adaptive federated learning framework for scalable pest identification and ernvironmental modeling.
Saved in:
| Title: | GNN-ML-FRL: a graph-enhanced meta-adaptive federated learning framework for scalable pest identification and ernvironmental modeling. |
|---|---|
| Authors: | Mahalakshmi; Department of Mathematics, Nitte Meenakshi Institute of Technology, Nitte (Deemed to be University), Bengaluru, Karnataka, India., T S; Department of Mathematics, New Horizon College of Engineering, Bengaluru, Karnataka, India., Mathivanan SK; Department of Computer Science & Engineering- AI & ML, KG Reddy College of Engineering and Technology, Hyderabad, Telangana, 501504, India., R S; Department of Computer Science and Engineering,School of Computing, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, 600062, India., Joseph RB; Department of Mathematics, Dayananda Sagar College of Engineering, Bangalore, India., S K B S; Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, India. sangeetha.skb@manipal.edu. |
| Source: | Scientific reports [Sci Rep] 2026 May 01; Vol. 16 (1). Date of Electronic Publication: 2026 May 01. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
Be the first to leave a comment!
