Mohammad A. Alzubaidi

According to our database, Mohammad A. Alzubaidi authored at least 21 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

COVID-19 CT-images diagnosis and severity assessment using machine learning algorithm.

Zaid Albataineh, Fatima Aldrweesh, Mohammad A. Alzubaidi

Clust. Comput., 2024

2023

A Novel Assistive Glove to Convert Arabic Sign Language into Speech.

Mohammad A. Alzubaidi, Mwaffaq Otoom, Areen M. Abu Rwaq

ACM Trans. Asian Low Resour. Lang. Inf. Process., January, 2023

2022

A Novel Social Interaction Assistive Device for Arab Deaf People.

Mwaffaq Otoom, Mohammad A. Alzubaidi, Lina Nasr Abd Al-Raziq

ACM Trans. Asian Low Resour. Lang. Inf. Process., September, 2022

Detecting Arabic Spam Reviews in Social Networks Based on Classification Algorithms.

Hassan Najadat, Mohammad A. Alzubaidi, Islam Qarqaz

ACM Trans. Asian Low Resour. Lang. Inf. Process., 2022

A Novel Human-Vehicle Interaction Assistive Device for Arab Drivers Using Speech Recognition.

Ghadeer A. Jaradat, Mohammad A. Alzubaidi, Mwaffaq Otoom

IEEE Access, 2022

2021

Real-time Assistive Reader Pen for Arabic Language.

Mohammad A. Alzubaidi, Mwaffaq Otoom, Nouran S. Ahmad

ACM Trans. Asian Low Resour. Lang. Inf. Process., 2021

A novel computational method for assigning weights of importance to symptoms of COVID-19 patients.

Mohammad A. Alzubaidi, Mwaffaq Otoom, Nesreen A. Otoum, Yousef Etoom, Rudaina Banihani

Artif. Intell. Medicine, 2021

Comprehensive and Comparative Global and Local Feature Extraction Framework for Lung Cancer Detection Using CT Scan Images.

Mohammad A. Alzubaidi, Mwaffaq Otoom, Hamza Jaradat

IEEE Access, 2021

2020

A comprehensive study on feature types for osteoporosis classification in dental panoramic radiographs.

Mohammad A. Alzubaidi, Mwaffaq Otoom

Comput. Methods Programs Biomed., 2020

An IoT-based framework for early identification and monitoring of COVID-19 cases.

Mwaffaq Otoom, Nesreen A. Otoum, Mohammad A. Alzubaidi, Yousef Etoom, Rudaina Banihani

Biomed. Signal Process. Control., 2020

2018

Novel Framework for Designing Representative Usage-Based Benchmarks for Smartphones.

Mwaffaq Otoom, Mohammad A. Alzubaidi, Nesreen A. Otoum

IEEE Trans. Consumer Electron., 2018

2017

A new strategy for bridging the semantic gap in image retrieval.

Mohammad A. Alzubaidi

Int. J. Comput. Sci. Eng., 2017

2016

Parallel scheme for real-time detection of photosensitive seizures.

Mohammad A. Alzubaidi, Mwaffaq Otoom, Abdel-Karim Al-Tamimi

Comput. Biol. Medicine, 2016

2015

Scalable and Dynamic Global Power Management for Multicore Chips.

Mwaffaq Otoom, Pedro Trancoso, Hisham M. Almasaeid, Mohammad A. Alzubaidi

Proceedings of the 6th Workshop on Parallel Programming and Run-Time Management Techniques for Many-core Architectures and the 4th Workshop on Design Tools and Architectures for Multicore Embedded Computing Platforms, 2015

2012

Computational Methods for Perceptual Training in Radiology.

Mohammad A. Alzubaidi

PhD thesis, 2012

A novel online Variance Based Instance Selection (VBIS) method for efficient atypicality detection in chest radiographs.

Mohammad A. Alzubaidi, Vineeth N. Balasubramanian, Ameet Patel, Sethuraman Panchanathan, John A. Black Jr.

Proceedings of the Medical Imaging 2012: Image Processing, 2012

A novel semi-transductive learning framework for efficient atypicality detection in chest radiographs.

Mohammad A. Alzubaidi, Vineeth N. Balasubramanian, Ameet Patel, Sethuraman Panchanathan, John A. Black Jr.

Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, San Diego, 2012

Efficient atypicality detection in chest radiographs.

Mohammad A. Alzubaidi, Vineeth Nallure Balasubramanian, Ameet Patel, Sethuraman Panchanathan, John A. Black Jr.

Proceedings of the 11th International Conference on Information Science, 2012

2011

Toward the detection of abnormal chest radiographs the way radiologists do it.

Mohammad A. Alzubaidi, Ameet Patel, Sethuraman Panchanathan, John A. Black Jr.

Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

2010

What catches a radiologist's eye? A comprehensive comparison of feature types for saliency prediction.

Mohammad A. Alzubaidi, Vineeth N. Balasubramanian, Ameet Patel, Sethuraman Panchanathan, John A. Black Jr.

Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, San Diego, 2010

2009

Conscious vs. subconscious perception, as a function of radiological expertise.

Mohammad A. Alzubaidi, John A. Black Jr., Ameet Patel, Sethuraman Panchanathan

Proceedings of the Twenty-Second IEEE International Symposium on Computer-Based Medical Systems, 2009