Year : 2026
A Deep Learning Model for Integrating Landsat-8 and Sentinel 2 Satellite Images to Improve the Spatiotemporal Fusion Network for Drought Monitoring
Cite this Research Publication : Aravinth J, Anand R, A Deep Learning Model for Integrating Landsat-8 and Sentinel 2 Satellite Images to Improve the Spatiotemporal Fusion Network for Drought Monitoring, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Institute of Electrical and Electronics Engineers (IEEE), 2026, https://doi.org/10.1109/jstars.2025.3637223
Publisher : Institute of Electrical and Electronics Engineers (IEEE)
Year : 2026
Investigation into respiratory sound classification for an imbalanced data set using hybrid LSTM-KAN architectures
Cite this Research Publication : Nithinkumar, K. V., & Anand, R. (2026). Investigation into respiratory sound classification for an imbalanced data set using hybrid LSTM-KAN architectures. Computer Methods and Programs in Biomedicine Update, 100227.
Year : 2026
Hyperspectral Imagery-Based Precision Monitoring of Corn Phenological Stages Using DOA-Wavelet-CNN and Ensemble Pixel Augmentation
Cite this Research Publication : R. Anand, Hyperspectral Imagery-Based Precision Monitoring of Corn Phenological Stages Using DOA-Wavelet-CNN and Ensemble Pixel Augmentation, SN Computer Science, Springer Science and Business Media LLC, 2026, https://doi.org/10.1007/s42979-025-04678-8
Publisher : Springer Science and Business Media LLC
Year : 2026
Branch-and-Bound Compressive Learning and Reconstruction of Hyperspectral Data With Deep Tucker Decomposition Using Spatial–Spectral Learning Network
Cite this Research Publication : Aravinth J, Anand R, Sankaran Rajendran, Branch-and-Bound Compressive Learning and Reconstruction of Hyperspectral Data With Deep Tucker Decomposition Using Spatial–Spectral Learning Network, IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), 2026, https://doi.org/10.1109/access.2026.3652604
Publisher : Institute of Electrical and Electronics Engineers (IEEE)
Year : 2025
Soil Nutrient Estimation from Hyperspectral Data Using FOX-Based Band Selection and Machine Learning: A Case Study in Radhapuram, Tirunelveli, India, with PRISMA Applications
Cite this Research Publication : Anand Raju, Sudarshini Boopathy, Nivetha Karthi, Priyaranjan Saravanan, Raghavan Sudarsan, Sankaran Rajendran, Soil Nutrient Estimation from Hyperspectral Data Using FOX-Based Band Selection and Machine Learning: A Case Study in Radhapuram, Tirunelveli, India, with PRISMA Applications, AgriEngineering, MDPI AG, 2025, https://doi.org/10.3390/agriengineering7120428
Publisher : MDPI AG
Year : 2025
Quantum-Enhanced Soil Nutrient Estimation Exploiting Hyperspectral Data With Quantum Fourier Transform
Cite this Research Publication : Anand R, Quantum-Enhanced Soil Nutrient Estimation Exploiting Hyperspectral Data With Quantum Fourier Transform, IEEE Geoscience and Remote Sensing Letters, Institute of Electrical and Electronics Engineers (IEEE), 2025, https://doi.org/10.1109/lgrs.2025.3591445
Publisher : Institute of Electrical and Electronics Engineers (IEEE)
Year : 2025
Layered Resource Sharing for Distributed Computing in IoT Using Hybrid MILP-Chameleon Swarm Optimization
Cite this Research Publication : Sathishkumar Samiappan, Anand R, Layered Resource Sharing for Distributed Computing in IoT Using Hybrid MILP-Chameleon Swarm Optimization, Journal of Computational and Cognitive Engineering, BON VIEW PUBLISHING PTE, 2025, https://doi.org/10.47852/bonviewjcce52026865
Publisher : BON VIEW PUBLISHING PTE
Year : 2024
An enhanced ResNet-50 deep learning model for arrhythmia detection using electrocardiogram biomedical indicators
Cite this Research Publication : Anand, R. (2024). An enhanced ResNet-50 deep learning model for arrhythmia detection using electrocardiogram biomedical indicators. Evolving Systems, 15(1), 83-97.
Publisher : Springer Nature Link
Year : 2024
Flower pollination optimization based hyperspectral band selection using modified wavelet Gabor deep filter neural network
Cite this Research Publication : Anand, R., Samiappan, S (2024). Flower pollination optimization based hyperspectral band selection using modified wavelet Gabor deep filter neural network. Infrared Physics & Technology, 105215.
Publisher : Elsevier
Year : 2024
Multilinear compressive learning and reconstruction of hyperspectral data with U-Net architecture for enhanced spectral imaging
Cite this Research Publication : Aravinth, J., Anand, R., & Samiappan, S. (2024). Multilinear compressive learning and reconstruction of hyperspectral data with U-Net architecture for enhanced spectral imaging. Digital Signal Processing, 155, 104740.
Publisher : Elsevier
Year : 2024
Fine-tuning digital FIR filters with gray wolf optimization for peak performance
Cite this Research Publication : Anand, R., Samiappan, S., & Prabukumar, M. (2024). Fine-tuning digital FIR filters with gray wolf optimization for peak performance. Scientific Reports, 14.
Publisher : Scientific Reports
Year : 2024
Optimizing Land Mine Detection Across Diverse Mining Environments: A Hyperspectral Data Approach with Regression Models
Cite this Research Publication : Anand, R., Andrew, J., & Makki, I. (2024). Optimizing Land Mine Detection Across Diverse Mining Environments: A Hyperspectral Data Approach with Regression Models. International Journal of Intelligent Networks.
Year : 2023
Assessing Soil Nutrient Content and Mapping in Tropical Tamil Nadu, India, through Precursors IperSpettrale Della Mission Applicative Hyperspectral Spectroscopy
Cite this Research Publication : Anand, R & Subramoniam, R. (2023). Assessing Soil Nutrient Content and Mapping in Tropical Tamil Nadu, India, through Precursors IperSpettrale Della Mission Applicative Hyperspectral Spectroscopy. Applied Sciences, 14(1), 186.
Publisher : MDPI
Year : 2022
Airborne hyperspectral imagery for band selection using moth–flame metaheuristic optimization
Cite this Research Publication : Anand, R., Samiaappan, S., Veni, S., Worch, E., & Zhou, M. (2022). Airborne hyperspectral imagery for band selection using moth–flame metaheuristic optimization. Journal of Imaging, 8(5), 126.
Year : 2021
Modified VGG deep-learning architecture for COVID-19 classification using chest radiography images
Cite this Research Publication : Anand, R., Sowmya, V., Menon, V., Gopalakrishnan, A., & Soman, K. P. (2021). Modified VGG deep-learning architecture for COVID-19 classification using chest radiography images. Biomedical and Biotechnology Research Journal (BBRJ), 5(1), 43-49.
Year : 2021
Extended morphological profiles analysis of airborne hyperspectral image classification using machine learning algorithms
Cite this Research Publication : Anand, R., Veni, S., Geetha, P., & Subramoniam, S. R. (2021). Extended morphological profiles analysis of airborne hyperspectral image classification using machine learning algorithms. International Journal of Intelligent Networks, 2, 1-6.
Year : 2021
Robust classification technique for hyperspectral images based on 3D-discrete wavelet transform
Cite this Research Publication : Anand, R., Veni, S., & Aravinth, J. (2021). Robust classification technique for hyperspectral images based on 3D-discrete wavelet transform. Remote Sensing, 13(7), 1255.