J. Aravinth
Orcid: 0000-0003-1354-3277
According to our database1,
J. Aravinth authored at least 18 papers
between 2016 and 2026.
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Bibliography
2026
A Deep Learning Model for Integrating Landsat-8 and Sentinel 2 Satellite Images to Improve the Spatiotemporal Fusion Network for Drought Monitoring.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2026
Branch-and-Bound Compressive Learning and Reconstruction of Hyperspectral Data With Deep Tucker Decomposition Using Spatial-Spectral Learning Network.
IEEE Access, 2026
2025
Spatial-Characteristics Driven Transmission Map Estimation for the Haze Removal in Sentinel-2 Spectral Bands Using the S2 China Hazy-MSI Dataset.
IEEE Access, 2025
Attention Subsumed Residual Dense Network for Reconstruction of Block Compressed Hyperspectral Images.
IEEE Access, 2025
Deploying Compact Image Classifier on Edge Device for Real-Time Pearl Millet Disease Detection.
Proceedings of the Pattern Recognition and Machine Intelligence, 2025
2024
Hyperspectral Image Denoising and Compression Using Optimized Bidirectional Gated Recurrent Unit.
Remote. Sens., September, 2024
Multilinear compressive learning and reconstruction of hyperspectral data with U-Net architecture for enhanced spectral imaging.
Digit. Signal Process., 2024
Intermediate Layer Attention Mechanism for Multimodal Fusion in Personality and Affect Computing.
IEEE Access, 2024
2023
Optimal hyperspectral band selection using robust multi-verse optimization algorithm.
Multim. Tools Appl., April, 2023
Reconstruction of Compressed Hyperspectral Image Using SqueezeNet Coupled Dense Attentional Net.
Remote. Sens., 2023
Proceedings of the Machine Learning, Image Processing, Network Security and Data Sciences, 2023
Improving the Performance of Epileptic Seizure Prediction using Supervised Clustering of Deep Features.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
2021
Robust Classification Technique for Hyperspectral Images Based on 3D-Discrete Wavelet Transform.
Remote. Sens., 2021
Proceedings of the Computational Intelligence in Data Science, 2021
2017
Proceedings of the 2017 International Conference on Advances in Computing, 2017
Proceedings of the 2017 International Conference on Advances in Computing, 2017
Big data challenges in airborne hyperspectral image for urban landuse classification.
Proceedings of the 2017 International Conference on Advances in Computing, 2017
2016
Proceedings of the 2016 International Conference on Advances in Computing, 2016