Rekha R. Nair

Orcid: 0000-0002-7207-2877

According to our database1, Rekha R. Nair authored at least 20 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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On csauthors.net:

Bibliography

2024
Improving Early Detection and Classification of Lung Diseases With Innovative MobileNetV2 Framework.
IEEE Access, 2024

Pattern Recognition in Lung Disease Classification: Leveraging Convolutional Neural Networks that Employs Local Phase Quantization Features.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Federated Ensemble for Lung Pneumonia Detection.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Bridging the Modality Gap: Generative Adversarial Networks for T1-T2 MRI Image Translation.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

2023
Multiresolution approach on medical image fusion by modified local energy.
Signal Image Video Process., November, 2023

Emotion-Aware Music Recommendation System: Enhancing User Experience Through Real-Time Emotional Context.
CoRR, 2023

Enhancing Student Engagement in Online Learning through Facial Expression Analysis and Complex Emotion Recognition using Deep Learning.
CoRR, 2023

BrainNet: A Deep Learning Approach for Brain Tumor Classification.
Proceedings of the International Conference on Machine Learning and Data Engineering, 2023

Enhancing Academic Integrity in Online Assessments: Introducing an Effective Online Exam Proctoring Model using YOLO.
Proceedings of the International Conference on Machine Learning and Data Engineering, 2023

Ship Detection in Synthetic Aperture Radar Imagery: An Active Contour Model Approach in Computer Vision Deep Learning.
Proceedings of the International Conference on Machine Learning and Data Engineering, 2023

Analyzing the Impact of COVID-19 on Liver Cancer: A Comprehensive Study using XGBoost Classifier and Feature Selection Techniques.
Proceedings of the International Conference on Machine Learning and Data Engineering, 2023

Enhancing Gas Leak Detection with IoT Technology: An Innovative Approach.
Proceedings of the International Conference on Machine Learning and Data Engineering, 2023

Class Room Student Attentiveness Model based on YOLO.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Classification of Breast Cancer using a Novel Neural Network-based Architecture.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

2022
Multi-layer, multi-modal medical image intelligent fusion.
Multim. Tools Appl., 2022

A Framework for the prediction of Diabtetes Mellitus using Hyper-Parameter tuned XGBoost Classifier.
Proceedings of the 13th International Conference on Computing Communication and Networking Technologies, 2022

2021
Multi-modal medical image fusion using LMF-GAN - A maximum parameter infusion technique.
J. Intell. Fuzzy Syst., 2021

Optimal Pneumonia detection using Convolutional Neural Networks from X-ray Images.
Proceedings of the 12th International Conference on Computing Communication and Networking Technologies, 2021

Visualization of COVID Bimodal scan using DNN.
Proceedings of the 12th International Conference on Computing Communication and Networking Technologies, 2021

2019
Multi-sensor medical image fusion using pyramid-based DWT: a multi-resolution approach.
IET Image Process., 2019


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