Abdul Majid

Regression analysis for detecting epileptic seizure with different feature extracting strategies

Saeed Arif Shah, Adnan Idris, Lal Hussain, 2019, Biomedizinische Technik. Biomedical engineering.

Complexity analysis of EEG motor movement with eye open and close subjects using multiscale permutation entropy (MPE) technique

Saeed Arif Shah, Lal Hussain, W. Aziz, 2017 .

Quantifying the dynamics of electroencephalographic (EEG) signals to distinguish alcoholic and non-alcoholic subjects using an MSE based K-d tree algorithm

Saeed Arif Shah, Lal Hussain, W. Aziz, 2018, Biomedizinische Technik. Biomedical engineering.

COVID-19 lung infection detection using deep learning with transfer learning and ResNet101 features extraction and selection

Fahd N. Al-Wesabi, T. Duong, Lal Hussain, 2022, Waves in Random and Complex Media.

Prostate cancer detection using machine learning techniques by employing combination of features extracting strategies.

Saeed Arif Shah, Saima Rathore, Lal Hussain, 2017, Cancer biomarkers : section A of Disease markers.

Detecting prostate cancer using deep learning convolution neural network with transfer learning approach

Lal Hussain, M. Nadeem, I. Awan, 2020, Cognitive Neurodynamics.

Performance Analysis of Classification Algorithms on Birth Dataset

Abdul Majid, Fiaz Majeed, Syed Ali Abbas, 2020, IEEE Access.

UTSA: Urdu Text Sentiment Analysis Using Deep Learning Methods

Uzma Naqvi, Abdul Majid, Syed Ali Abbas, 2021, IEEE Access.

Multiscaled entropy analysis to quantify the dynamics of motor movement signals with fist or feet movement using topographic maps.

Abdulrahman A. Alshdadi, Lal Hussain, Adeel Ahmed Abbasi, 2019, Technology and health care : official journal of the European Society for Engineering and Medicine.

Detecting prostate cancer using deep learning convolution neural network with transfer learning approach

Abdul Majid, Imran Abbasi, Lal Hussain, 2020, Cognitive Neurodynamics.