Aditya Oza

According to our database, Aditya Oza authored at least 13 papers between 2014 and 2025.

Collaborative distances:

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

2025

Hybrid CNN with Chebyshev Polynomial Expansion for Medical Image Analysis.

Abhinav Roy, Bhavesh S. Gyanchandani, Aditya Oza

CoRR, April, 2025

2024

Advancing Parkinson's Disease Progression Prediction: Comparing Long Short-Term Memory Networks and Kolmogorov-Arnold Networks.

Abhinav Roy, Bhavesh S. Gyanchandani, Aditya Oza, Abhishek Sharma

CoRR, 2024

ProKAN: Progressive Stacking of Kolmogorov-Arnold Networks for Efficient Liver Segmentation.

Bhavesh S. Gyanchandani, Aditya Oza, Abhinav Roy

CoRR, 2024

WENN-4: Weighted Ensemble for Enhanced Diabetic Retinopathy Detection.

Aadi Krishna Vikram, Abhinav Roy, Bhavesh S. Gyanchandani, Aditya Oza, Santosh Kumar

Proceedings of the IEEE Region 10 Conference, 2024

TriSpectraLSTM for COPD Detection via Lung Sound Analysis.

Abhinav Roy, Bhavesh S. Gyanchandani, Aditya Oza, Aadi Krishna Vikram, Anurag Singh

Proceedings of the IEEE Region 10 Conference, 2024

ConvKAN: A Convolutional KAN for Brain Tumor MRI Classification.

Abhinav Roy, Bhavesh S. Gyanchandani, Aditya Oza, Anurag Singh

Proceedings of the IEEE Region 10 Conference, 2024

Adaptive Spectral Correlation Convolutional Neural Network for EEG-Based Emotion Recognition: A Study on the SEED Dataset.

Aditya Oza, Jay Padia, Sanskriti Patel, Santosh Kumar

Proceedings of the IEEE Region 10 Conference, 2024

Advancing Early Detection of Congestive Heart Failure Using BiLSTM Networks: A Robust Clinical Framework.

Aditya Oza, Sanskriti Patel, Bhavesh S. Gyanchandani, Abhinav Roy, Santosh Kumar

Proceedings of the IEEE Region 10 Conference, 2024

Advancing EEG Analysis for Confusion Detection in Educational Settings Using BiLSTM Deep Learning Techniques.

Aditya Oza, Vandita Diwan, Sanskriti Patel, Bhavesh S. Gyanchandani, Abhinav Roy, Santosh Kumar, Abhishek Shrivastava

Proceedings of the IEEE Region 10 Conference, 2024

Advanced Framework for Early Congestive Heart Failure Detection Using Electrocardiogram Data and Ensemble Learning Models.

Aditya Oza, Sanskriti Patel, Abhishek Shrivastava, Santosh Kumar

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Hybrid CNN-LSTM Framework for Enhanced Congestive Heart Failure Diagnosis: Integrating GQRS Detection.

Aditya Oza, Sanskriti Patel, Bhavesh S. Gyanchandani, Abhinav Roy, Santosh Kumar

Proceedings of the Pattern Recognition - 27th International Conference, 2024

A Novel Multimodal Framework for Early Detection of Congestive Heart Failure using Ensemble Learning based Fusion Approach.

Aditya Oza, Sanskriti Patel, Bhavesh S. Gyanchandani, Jyoti Sahu, Abhinav Roy, Santosh Kumar, Abhishek Shrivastava

Proceedings of the IEEE International Conference on Computer Vision and Machine Intelligence, 2024

2014

HTTP attack detection using n-gram analysis.

Aditya Oza, Kevin Ross, Richard M. Low, Mark Stamp

Comput. Secur., 2014