Machine Learning Publications

Dr. Emamian’s Publications in Machine Learning, Deep Learning, and Neural Networks (2000-present):

 

Recently Submitted:

Published:

  • S. Savalia, V. Emamian, “ECG Classification for Heart Arrhythmia Using Deep Machine Learning”, Book Chapter, New Visions in Science and Technology, ISBN: 978-93-5547-243-4, Chapter 4, Nov 2021.
  • N. Ghebremeskel, V. Emamian, “Classification of Cardiac Arrhythmia Using a 2 d Convolutional Neural Network“, Int Journal of Scientific Research, 10(09), pp. 35620-35625, 2019
  • N. Ghebremeskel, V. Emamian , “ECG Arrhythmia Classification Using a Convolution Neural Network”, Engineering and Technology Journal,  Vol 4 No 04 (2019): Volume 04,  30 April 2019, Page No.: 570-577
  • M. Rane, K. Shah, V. Emamian, “Blood Pressure Estimation Using Electrocardiogram and Photoplethysmogram”,  Published in International Journal of Science and Engineering, Page No. 20 to 25, December 2018.
  • K. Shah, M. Rane, V. Emamian, “Detection of Heart Defects using Electrocardiogram (ECG)”, Published in International Journal of Science and Engineering, Page No. 15 to 19, November 2018.
  • S. Savalia, V. Emamian, “Cardiac Arrhythmia Classification by Multi-LayerPerceptron and Convolution Neural Networks”, Published in MDPI Journal of Bioengineering, May 4, 2018.
  • A. Arivalagan, N. N. Peddi, W. Bazuhair,V. Emamian, “Study of Wireless Security Attacks on Medical Devices”, Published in Journal of Multidisciplinary in Cryptology and Information Security, ISSN 2320 -2610, Volume 6, No.6, December 2017.
  •  S. Savalia, E. Acosta, V. Emamian, “Classification of Cardiovascular Disease Using Feature Extraction and Artificial Neural Networks”, Published in Journal of Biosciences and Medicines, ISSN Print: 2327-5081, Pages 64-79,  Nov 2017.
  • S. Alomari, M. Shujauddin, V. Emamian, “EKG Signals – De-noising and Features Extraction”, Published in American Journal of Biomedical Engineering ISSN: 2163-1077, pp 180-201, 2016.
  • A. R. J. Fredo.,R. S. Abilash, V. Emamian, “Segmentation and analysis of cortical, subcortical and subanatomical regions in autistic MR brain images using local and global energy based multiphase level sets”, Published in journal of Computer Methods in Biomechanics and Biomedical Engineering, 2016.
  • A. Alharthi. V. Emamian, “Automated Mechanism for Early Screening and Diagnosis of Diabetic Retinopathy in Human Retinal Images.” published in British Journal of Applied Science & Technology, Volume 11 Issue 6, 2015.
  • S. Shahhosseini, B. Rezaie, V. Emamian, “Sequential Image Registration for Astronomical Images”, ISM, 2012, 2013 IEEE International Symposium on Multimedia, 2013 IEEE International Symposium on Multimedia 2012, pp. 314-317, doi:10.1109/ISM.2012.65
  • A. Alharthi. V. Emamian, “Application of Smartphone for Early Screening and Diagnosis of Diabetic Retinopathy”, Published in Journal of Diabetes Mellitus, Volume 4, No 4, Oct 2015.
  • S. Shahhosseini, B. Rezaie, V. Emamian, “Sequential Image Registration for Astronomical Images”, Submitted to the 2012 ISM (The IEEE International Symposium on Multimedia)
  • C. Sauer, V. Emamian, “Application of Guided Wave Technology and DSP Techniques for Fault Detection and Characterization”, Appeared in IEEE International Conference on System of Systems Engineering, April 16-18, 2007, San Antonio, Texas.
  • C. Sauer, V. Emamian, “Fault Detection and characterization using Guided Wave Technology and Signal Processing Techniques”, ISSPIT 2006, The 6th IEEE International Symposium on Signal Processing and Information Technology, August 27-30, 2006, Vancouver, Canada
  • V. Emamian, M. Kaveh, A. H. Tewfik, Z. Shi, L. Jacobs, and J. Jarzynski, “Robust Clustering of Acoustic Emission Signals Using Neural Networks and Signal Subspace Projections”, Published in Journal on Applied Signal Processing, March 2003 issue.
  • V. Emamian, M. Kaveh, A. H. Tewfik, and Z. Shi, “Acoustic Emission Classification Using Signal Subspace Projection”, Published in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing 2001, vol. 5, Salt Lake City, Utah, May 2001.
  • V. Emamian, M. Kaveh, and A. H. Tewfik, “Acoustic Emission Classification for Failure Prediction Due to Mechanical Fatigue”, Published in Proceeding of SPIE conference on Sensory Phenomena and Measurement Instrumentation for Smart Structure and Materials, March 2000.
  • V. Emamian, M. Kaveh, and A. H. Tewfik, “Robust Clustering of Acoustic Emission Signals Using the Kohonen Network”, Published in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing 2000, pp 3891-3894, vol.6, Istanbul, Turkey, June 2000.

Conferences & Symposium Presentations:

Shalin Savalia, Vahid Emamian, ” Abnormal ECG Classification Techniques Using Deep Machine Learning”,  2021 Students Summer Research Symposium, St. Mary’s University, Sept 24, 2021.

Under Preparation:

Deep Learning | Machine Learning | Artificial Intellegence