Enas W. Abdulhay

According to our database, Enas W. Abdulhay authored at least 24 papers between 2012 and 2023.

Collaborative distances:

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

2023

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., May, 2023

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

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

2021

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

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

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, Victor Hugo C. de Albuquerque

Neural Comput. Appl., 2020

A Special Issue on Predictive Intelligence in Health Informatics.

Enas W. Abdulhay

J. Medical Imaging Health Informatics, 2020

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

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, Victor Hugo C. de Albuquerque

Soft Comput., 2019

Preface of virtual special issue on Smart Pattern Recognition for Medical Informatics.

Enas W. Abdulhay, Oliver Faust

Pattern Recognit. Lett., 2019

A Special Section on Cognitive Computing for Internet of Health Informatics Things.

Enas W. Abdulhay

J. Medical Imaging Health Informatics, 2019

Iot based real time trafic control using cloud computing.

M. Vardhana, Arunkumar N., Enas W. Abdulhay, P. V. Vishnuprasad

Clust. Comput., 2019

Using Deep Convolutional Neural Network for Emotion Detection on a Physiological Signals Dataset (AMIGOS).

Luz Santamaria-Granados, Mario Muñoz Organero, Gustavo Ramírez-González, Enas W. Abdulhay, Arunkumar N.

IEEE Access, 2019

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

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

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

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

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

Convolutional neural network for bio-medical image segmentation with hardware acceleration.

M. Vardhana, Arunkumar N., Sunitha Lasrado, Enas W. Abdulhay, Gustavo Ramírez-González

Cogn. Syst. Res., 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, Enas W. Abdulhay, João Manuel R. S. Tavares, Victor Hugo C. de Albuquerque

Cogn. Syst. Res., 2018

An Automated Remote Cloud-Based Heart Rate Variability Monitoring System.

Ahmed Faeq Hussein, Arunkumar N., Marlon Burbano-Fernandez, Gustavo Ramírez-González, Enas W. Abdulhay, Victor Hugo C. de Albuquerque

IEEE Access, 2018

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

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

2012

Development of a simulator for patient-ventilator interaction in non-invasive mask ventilation.

Enas W. Abdulhay, Osama A. Tamimi

Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012