Parkinson’s Disease Diagnosis from Patients Speech Analysis. IEEE, 2024

Parkinson’s Disease Diagnosis from Patients Speech Analysis. IEEE, 2024

Used multiple learning algorithms to detect Parkinson’s disease from patient speech analysis. Achieved 95% diagnostic accuracy with Random Forest and XGBoost on the Oxford Parkinson’s Disease Detection Dataset 197 instances, 22 features. Used SHAP to identify the top 6 most influential features. Paper

Deep Learning-Based Analysis of Pediatric Pneumonia Detection in Children using Fine-tuned NasNetMobile Model. IEEE, 2024

Performed a comparative study on CNN architectures for pediatric pneumonia detection. Fine-tuned NasNetMobile with Mish activation, batch normalization, and dropout on a chest X-ray dataset of 5,232 images, achieving an F-score of 92%. Paper

Comparative Image Analysis of Chest X-RAY Image Encryption using Symmetric and Asymmetric Key Encryption Algorithms. IEEE, 2024

Explored multilayer encryption strategies for medical image protection. Compared, and analyzed AES and DES encryption with RSA and DSS digital signatures on chest X-rays. AES with RSA yielded the best performance in decryption speed while ensuring Confidentiality, Integrity, and Authentication (CIA). Paper