Development of a simulator for patient-ventilator interaction in non-invasive mask ventilation. - Enas W. Abdulhay; Osama A. Tamimi (BHI, 2012)

Gait signal classification using an in-house built goniometer and naïve Bayes classifier. - Ruba Khnouf; Enas W. Abdulhay; Rawan Al Junaidi; Fatima Al Rifai (Int. J. Medical Eng. Informatics, 2017)

Classification of focal and non focal EEG using entropies. - Arunkumar N.; Kannan Ramkumar; Venkatraman V.; Enas W. Abdulhay; Steven Lawrence Fernandes; Seifedine Nimer Kadry; Sophia Segal (Pattern Recognit. Lett., 2017)

An Automated Remote Cloud-Based Heart Rate Variability Monitoring System. - Ahmed Faeq Hussein; Arunkumar N.; Marlon Burbano-Fernandez; Gustavo Ramírez-González 001; Enas W. Abdulhay; Victor Hugo C. de Albuquerque (IEEE Access, 2018)

A medical records managing and securing blockchain based system supported by a Genetic Algorithm and Discrete Wavelet Transform. - Ahmed Faeq Hussein; Arunkumar N.; Gustavo Ramírez-González 001; Enas W. Abdulhay; João Manuel R. S. Tavares; Victor Hugo C. de Albuquerque (Cogn. Syst. Res., 2018)

Convolutional neural network for bio-medical image segmentation with hardware acceleration. - M. Vardhana; Arunkumar N.; Sunitha Lasrado; Enas W. Abdulhay; Gustavo Ramírez-González 001 (Cogn. Syst. Res., 2018)

Gait and tremor investigation using machine learning techniques for the diagnosis of Parkinson disease. - Enas W. Abdulhay; Arunkumar N.; Kumaravelu Narasimhan; Elamaran Vellaiappan; Venkatraman V. (Future Gener. Comput. Syst., 2018)

A robust and efficient password-based conditional privacy preserving authentication and group-key agreement protocol for VANETs. - SK Hafizul Islam; Mohammad S. Obaidat; Pandi Vijayakumar; Enas W. Abdulhay; Fagen Li; M. Krishna Chaitanya Reddy (Future Gener. Comput. Syst., 2018)

Computer Aided Solution for Automatic Segmenting and Measurements of Blood Leucocytes Using Static Microscope Images. - Enas W. Abdulhay; Mazin Abed Mohammed; Dheyaa Ahmed Ibrahim; Arunkumar N.; Venkatraman V. (J. Medical Syst., 2018)

Objective detection of chronic stress using physiological parameters. - Rabah M. Al abdi; Ahmad E. Alhitary; Enas Walid Abdul Hay; Areen K. Al-Bashir (Medical Biol. Eng. Comput., 2018)

Automated Categorization of Multi-Class Brain Abnormalities Using Decomposition Techniques With MRI Images: A Comparative Study. - Anjan Gudigar; U. Raghavendra; Edward J. Ciaccio; Arunkumar N.; Enas W. Abdulhay; U. Rajendra Acharya (IEEE Access, 2019)

Using Deep Convolutional Neural Network for Emotion Detection on a Physiological Signals Dataset (AMIGOS). - Luz Santamaria-Granados; Mario Muñoz Organero; Gustavo Ramírez-González 001; Enas W. Abdulhay; Arunkumar N. (IEEE Access, 2019)

Iot based real time trafic control using cloud computing. - M. Vardhana; Arunkumar N.; Enas W. Abdulhay; P. V. Vishnuprasad (Clust. Comput., 2019)

A Special Section on Cognitive Computing for Internet of Health Informatics Things. - Enas W. Abdulhay (J. Medical Imaging Health Informatics, 2019)

Preface of virtual special issue on Smart Pattern Recognition for Medical Informatics. - Enas W. Abdulhay; Oliver Faust (Pattern Recognit. Lett., 2019)

K-Means clustering and neural network for object detecting and identifying abnormality of brain tumor. - Arunkumar N.; Mazin Abed Mohammed; Mohd Khanapi Abd Ghani; Dheyaa Ahmed Ibrahim; Enas W. Abdulhay; Gustavo Ramírez-González 001; Victor Hugo C. de Albuquerque (Soft Comput., 2019)

Resting state EEG-based diagnosis of Autism via elliptic area of continuous wavelet transform complex plot. - Enas W. Abdulhay; Maha Alafeef; Hikmat Hadoush; Arunkumar N. (J. Intell. Fuzzy Syst., 2020)

A Special Issue on Predictive Intelligence in Health Informatics. - Enas W. Abdulhay (J. Medical Imaging Health Informatics, 2020)

Computer-aided autism diagnosis via second-order difference plot area applied to EEG empirical mode decomposition. - Enas W. Abdulhay; Maha Alafeef; Loai Alzghoul; Miral Al Momani; Rabah M. Al abdi; Arunkumar N.; Roberto Muñoz 001; Victor Hugo C. de Albuquerque (Neural Comput. Appl., 2020)

Automated diagnosis of epilepsy from EEG signals using ensemble learning approach. - Enas W. Abdulhay; Elamaran Vellaiappan; M. Chandrasekar; V. S. Balaji; Kumaravelu Narasimhan (Pattern Recognit. Lett., 2020)

Automated ASD detection using hybrid deep lightweight features extracted from EEG signals. - Mehmet Baygin; Sengül Dogan; Türker Tuncer; Prabal Datta Barua; Oliver Faust; Arunkumar N.; Enas W. Abdulhay; Elizabeth Emma Palmer; U. Rajendra Acharya (Comput. Biol. Medicine, 2021)

Comparing the efficiency of artificial neural networks in sEMG-based simultaneous and continuous estimation of hand kinematics. - Wafa Batayneh; Enas W. Abdulhay; Mohammad Alothman (Digit. Commun. Networks, 2022)

Autism diagnosis via correlation between vectors of direct quadrature instantaneous frequency of EEG analytic normalized intrinsic mode functions. - Enas W. Abdulhay; Maha Alafeef; Hikmat Hadoush; Arunkumar N. (Expert Syst. J. Knowl. Eng., 2022)

A 64-channel scheme for autism detection via scaled conjugate gradient-based neural network classification of electroencephalogram ripples' complexity. - Enas W. Abdulhay; Maha Alafeef; Hikmat Hadoush; Arunkumar N. (Expert Syst. J. Knowl. Eng., 2023)