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Sharjil Saeed

Showing results (1-10 of 7) with videos related to

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Current Medical Imaging Reviews|February 4, 2020
Detecting Brain Tumor using Machines Learning Techniques Based on Different Features Extracting StrategiesLal Hussain, Sharjil Saeed, Imtiaz Ahmed Awan, et al.
Journal of Physiological Anthropology|March 25, 2017
Symbolic time series analysis of electroencephalographic (EEG) epileptic seizure and brain dynamics with eye-open and eye-closed subjects during resting statesLal Hussain, Wajid Aziz, Jalal S Alowibdi, et al.
Biomed Research International|March 10, 2020
Detecting Congestive Heart Failure by Extracting Multimodal Features and Employing Machine Learning TechniquesLal Hussain, Imtiaz Ahmed Awan, Wajid Aziz, et al.
Biomedizinische Technik. Biomedical Engineering|May 31, 2019
Regression analysis for detecting epileptic seizure with different feature extracting strategiesLal Hussain, Sharjil Saeed, Adnan Idris, et al.
Cancer Biomarkers : Section a of Disease Markers|December 12, 2017
Prostate cancer detection using machine learning techniques by employing combination of features extracting strategiesLal Hussain, Adeel Ahmed, Sharjil Saeed, et al.
Plos One|May 18, 2018
Studying the dynamics of interbeat interval time series of healthy and congestive heart failure subjects using scale based symbolic entropy analysisImtiaz Awan, Wajid Aziz, Imran Hussain Shah, et al.
Biomedizinische Technik. Biomedical Engineering|August 2, 2017
Quantifying the dynamics of electroencephalographic (EEG) signals to distinguish alcoholic and non-alcoholic subjects using an MSE based K-d tree algorithmLal Hussain, Wajid Aziz, Sharjil Saeed, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Current Medical Imaging Reviews|February 4, 2020
Detecting Brain Tumor using Machines Learning Techniques Based on Different Features Extracting StrategiesLal Hussain, Sharjil Saeed, Imtiaz Ahmed Awan, et al.
Journal of Physiological Anthropology|March 25, 2017
Symbolic time series analysis of electroencephalographic (EEG) epileptic seizure and brain dynamics with eye-open and eye-closed subjects during resting statesLal Hussain, Wajid Aziz, Jalal S Alowibdi, et al.
Biomed Research International|March 10, 2020
Detecting Congestive Heart Failure by Extracting Multimodal Features and Employing Machine Learning TechniquesLal Hussain, Imtiaz Ahmed Awan, Wajid Aziz, et al.
Biomedizinische Technik. Biomedical Engineering|May 31, 2019
Regression analysis for detecting epileptic seizure with different feature extracting strategiesLal Hussain, Sharjil Saeed, Adnan Idris, et al.
Cancer Biomarkers : Section a of Disease Markers|December 12, 2017
Prostate cancer detection using machine learning techniques by employing combination of features extracting strategiesLal Hussain, Adeel Ahmed, Sharjil Saeed, et al.
Plos One|May 18, 2018
Studying the dynamics of interbeat interval time series of healthy and congestive heart failure subjects using scale based symbolic entropy analysisImtiaz Awan, Wajid Aziz, Imran Hussain Shah, et al.
Biomedizinische Technik. Biomedical Engineering|August 2, 2017
Quantifying the dynamics of electroencephalographic (EEG) signals to distinguish alcoholic and non-alcoholic subjects using an MSE based K-d tree algorithmLal Hussain, Wajid Aziz, Sharjil Saeed, et al.
Pageof 1