Mass spectrometry sensing data for robust cancer classification. - Khalfalla Awedat; Ikhlas Abdel-Qader; James R. Springstead (EIT, 2016)

Compressive sensing of jointly sparse signals as a method for dimensionality reduction of mass spectrometry data. - Khalfalla Awedat; Masoud Alajmi; James R. Springstead (EIT, 2017)

Sparse representation classification based linear integration of ℓ1-norm and ℓ2-norm for robust face recognition. - Khalfalla Awedat; Almabrok E. Essa; Vijayan K. Asari (EIT, 2017)

Prostate cancer recognition based on mass spectrometry sensing data and data fingerprint recovery. - Khalfalla Awedat; Ikhlas Abdel-Qader; James R. Springstead (Biomed. Signal Process. Control., 2017)

Modular Sparse Representation Based Classification Approach for Robust Face Recognition. - Khalfalla Awedat; Almabrok E. Essa; Masoud Alajmi (EIT, 2018)

IR Thermal Image Analysis: An Efficient Algorithm for Accurate Hot-Spot Fault Detection and Localization in Solar Photovoltaic Systems. - Masoud Alajmi; Khalfalla Awedat; Mohammed Sharaf Aldeen; Salman Alwagdani (EIT, 2019)

Efficient Face Recognition Using Regularized Adaptive Non-Local Sparse Coding. - Masoud Alajmi; Khalfalla Awedat; Almabrok E. Essa; Fawaz Alassery; Osama S. Faragallah (IEEE Access, 2019)

Compressive Sensing Evaluation Strategy For Prostate Cancer Classification. - Khalfalla Awedat; Almabrok E. Essa; Ikhlas Abdel-Qader (EIT, 2020)

COVID-CLNet: COVID-19 Detection with Compressive Deep Learning Approaches. - Khalfalla Awedat; Almabrok E. Essa (CoRR, 2020)

Novel Robust Augmentation Approach Based on Sensing Features for Data Classification. - Masoud Alajmi; Khalfalla Awedat (IEEE Access, 2021)

Adaptive DBSCAN LiDAR Point Cloud Clustering For Autonomous Driving Applications. - Mohammad Z. El Yabroudi; Khalfalla Awedat; Rakan C. Chabaan; Osama Abudayyeh; Ikhlas Abdel-Qader (EIT, 2022)

COVID-CLNet: COVID-19 Detection With Compressive Deep Learning Approach. - Khalfalla Awedat; Almabrok E. Essa (Int. J. Comput. Vis. Image Process., 2022)