Jayakrishnan Anandakrishnan
Orcid: 0009-0006-7902-6255
According to our database1,
Jayakrishnan Anandakrishnan authored at least 11 papers
between 2024 and 2026.
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Bibliography
2026
E-OptEEG: A Hybrid Ensemble Metaheuristic Feature Optimization for EEG-Based Sentiment Analysis on Resource-Constrained Edge Devices.
IEEE Trans. Comput. Soc. Syst., June, 2026
HydroFedNet: An Intent-Based Unified Federated Framework for Multisource Water Quality Monitoring.
IEEE Internet Things J., 2026
Point-KAN: Leveraging Trustworthy AI for Reliable 3-D Point Cloud Completion With Kolmogorov-Arnold Networks for 6G-IoT Applications.
IEEE Internet Things J., 2026
2025
R-UAV-Net: Enhanced YOLOv4 With Graph-Semantic Compression for Transformative UAV Sensing in Paddy Agronomy.
IEEE Trans. Cogn. Commun. Netw., April, 2025
IEEE Internet Things Mag., January, 2025
STA-AgriNet: A Spatio-Temporal Attention Framework for Crop Type Mapping from Fused Multi-Sensor Multi-Temporal SITS.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025
Precise Spatial Prediction of Rice Seedlings From Large-Scale Airborne Remote Sensing Data Using Optimized Li-YOLOv9.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025
LCUT-Sv9: UAV-Assisted Powerline Inspection Framework with Secure Time-Sensitive Communication for Industry 5.0.
IEEE Open J. Commun. Soc., 2025
TCAN-AgriCloud: A Cloud-Enabled IoT-Integrated Deep Learning Framework for Spatio-Temporal Crop Yield Prediction.
Proceedings of the IEEE International Conference on Cloud Computing Technology and Science, 2025
2024
CERMF-Net: A SAR-Optical Feature Fusion for Cloud Elimination From Sentinel-2 Imagery Using Residual Multiscale Dilated Network.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
UAV-Based Deep Learning with Tiny-YOLOv9 for Revolutionizing Paddy Rice Disease Detection.
Proceedings of the IEEE International Conference on Smart Internet of Things, 2024