Raju Anand

According to our database, Raju Anand authored at least 21 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Nature Inspired FIR Filter Optimization Using Chameleon Swarm Algorithm for Image Denoising.

Raju Anand

SN Comput. Sci., June, 2026

Hyperspectral Imagery-Based Precision Monitoring of Corn Phenological Stages Using DOA-Wavelet-CNN and Ensemble Pixel Augmentation.

Raju Anand

SN Comput. Sci., January, 2026

A Deep Learning Model for Integrating Landsat-8 and Sentinel 2 Satellite Images to Improve the Spatiotemporal Fusion Network for Drought Monitoring.

J. Aravinth, Raju Anand

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.

J. Aravinth, Raju Anand, Sankaran Rajendran

IEEE Access, 2026

Deep Spectral Feature Learning With Evolutionary Band Selection for Environmental Monitoring of Plastic Debris.

Raju Anand

IEEE Access, 2026

2025

Quantum-Enhanced Soil Nutrient Estimation Exploiting Hyperspectral Data With Quantum Fourier Transform.

Raju Anand

IEEE Geosci. Remote. Sens. Lett., 2025

Battle Royale Optimization for Optimal Band Selection in Predicting Soil Nutrients Using Visible and Near-Infrared Reflectance Spectroscopy and PLSR Algorithm.

Ramasamy Jagadeeswaran, Raju Anand, Kavitha Krishnasamy Ranganathan, Dhanaraju Muthumanickam, Backiyathu Saliha, Ramalingam Kumaraperumal, Sathishkumar Samiappan

J. Imaging, 2025

Feature Extraction in 5G Wireless Systems: A Quantum Cat Swarm and Wavelet-Based Approach.

Raju Anand, Sathishkumar Samiappan

Future Internet, 2025

2024

An enhanced ResNet-50 deep learning model for arrhythmia detection using electrocardiogram biomedical indicators.

Raju Anand, S. Vijaya Lakshmi, Digvijay Pandey, Binay Kumar Pandey

Evol. Syst., February, 2024

Optimizing land mine detection across diverse mining environments: A hyperspectral data approach with regression models.

Raju Anand, Andrew J., Ihab Makki

Int. J. Intell. Networks, 2024

Multilinear compressive learning and reconstruction of hyperspectral data with U-Net architecture for enhanced spectral imaging.

J. Aravinth, Raju Anand, Sathishkumar Samiappan

Digit. Signal Process., 2024

2023

Initial Stage Identification of COVID-19 Using Capsule Networks.

Shamika Ganesan, Raju Anand, V. Sowmya, K. P. Soman

Proceedings of the Smart Computer Vision, 2023

GLCM Feature-Based Texture Image Classification Using Machine Learning Algorithms.

Raju Anand, T. Shanthi, R. S. Sabeenian, S. Veni

Proceedings of the Smart Computer Vision, 2023

2022

Airborne Hyperspectral Imagery for Band Selection Using Moth-Flame Metaheuristic Optimization.

Raju Anand, Sathishkumar Samiappan, Shanmugham Veni, Ethan Worch, Meilun Zhou

J. Imaging, 2022

2021

Robust Classification Technique for Hyperspectral Images Based on 3D-Discrete Wavelet Transform.

Raju Anand, S. Veni, J. Aravinth

Remote. Sens., 2021

Extended morphological profiles analysis of airborne hyperspectral image classification using machine learning algorithms.

Raju Anand, Shanmugham Veni, P. Geetha, S. Rama Subramoniam

Int. J. Intell. Networks, 2021

2020

Automatic diagnosis of skin diseases using convolution neural network.

T. Shanthi, R. S. Sabeenian, Raju Anand

Microprocess. Microsystems, 2020

Detection and identification of COVID -19 based on chest medical image by using convolutional neural networks.

Jothi V. Pranav, Raju Anand, T. Shanthi, K. Manju, S. Veni, S. Nagarjun

Int. J. Intell. Networks, 2020

2018

Driver Assistance through Geo-fencing, Sign Board Detection and Reporting Using Android Smartphone.

S. Veni, Raju Anand, D. Vivek

Proceedings of the Soft Computing for Problem Solving, 2018

Face Recognition and Classification Using GoogleNET Architecture.

Raju Anand, T. Shanthi, M. S. Nithish, S. Lakshman

Proceedings of the Soft Computing for Problem Solving, 2018

2017

Big data challenges in airborne hyperspectral image for urban landuse classification.

Raju Anand, S. Veni, J. Aravinth

Proceedings of the 2017 International Conference on Advances in Computing, 2017