Rumana Islam

Employment

Employment history is unavailable.

Education

• University of Windsor Phd
  2019 - 2023

Projects & Funding

Projects & funding information is unavailable.

Publications (17)

• Escalate Prognosis of Parkinson’s Disease Employing Wavelet Features and Artificial Intelligence from Vowel Phonation
  BioMedInformatics 2025 DOI: 10.3390/biomedinformatics5020023
  +Save
• Artificial Intelligence (AI) and Nuclear Features from the Fine Needle Aspirated (FNA) Tissue Samples to Recognize Breast Cancer
  Journal of Imaging 2024 DOI: 10.3390/jimaging10080201
  +Save
• Investigating the Performance of Gammatone Filters and Their Applicability to Design Cochlear Implant Processing System
  Designs 2024 DOI: 10.3390/designs8010016
  +Save
• Cochleagram to Recognize Dysphonia: Auditory Perceptual Analysis for Health Informatics
  IEEE Access 2024 DOI: 10.1109/ACCESS.2024.3392808
  +Save
• Parkinson’s Disease Detection Using Voice Features and Machine Learning Algorithms
  2023 International Conference on Microelectronics (ICM) 2023 DOI: 10.1109/icm60448.2023.10378925
  +Save
• Robust Assessment of Dysarthrophonic Voice with RASTA-PLP Features: A Nonlinear Spectral Measures
  2023 2nd International Conference on Mechatronics and Electrical Engineering (MEEE) 2023 DOI: 10.1109/meee57080.2023.10126695
  +Save
• Voiced Features and Artificial Neural Network to Diagnose Parkinson’s Disease Patients
  2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA) 2022 DOI: 10.1109/icecta57148.2022.9990334
  +Save
• Voice pathology detection using convolutional neural networks with electroglottographic (EGG) and speech signals
  Computer Methods and Programs in Biomedicine Update 2022 DOI: 10.1016/j.cmpbup.2022.100074
  +Save
• A Novel Pathological Voice Identification Technique through Simulated Cochlear Implant Processing Systems
  Applied Sciences 2022 DOI: 10.3390/app12052398
  +Save
• A study of using cough sounds and deep neural networks for the early detection of Covid-19
  Biomedical Engineering Advances 2022 DOI: 10.1016/j.bea.2022.100025
  +Save