E. Abdulhay

发表

Improvement of medical content in the curriculum of biomedical engineering based on assessment of students outcomes

Areen Al-Bashir, Ruba Khnouf, Enas Abdulhay, 2017, BMC medical education.

A novel automated autism spectrum disorder detection system

Shu Lih Oh, U. Acharya, R. Gururajan, 2021, Complex & Intelligent Systems.

Adsorption-Based Model for Single-Wall Carbon Nanotube Response to NO2 Gas

E. Abdulhay, B. Albiss, A. Abdelhay, 2015 .

Microfluidics-based device for the measurement of blood viscosity and its modeling based on shear rate, temperature, and heparin concentration

Weian Sheng, E. Abdulhay, R. Khnouf, 2019, Biomedical Microdevices.

Non-Linear Modeling of the Dynamic Response of Single-Wall Carbon Nanotube SWNT Composites to NO2 Gas in Air

E. Abdulhay, B. Albiss, A. Abdelhay, 2017 .

SAPHIR - a multi-scale, multi-resolution modeling environment targeting blood pressure regulation and fluid homeostasis

A. Hernandez, P. Baconnier, E. Abdulhay, 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A medical records managing and securing blockchain based system supported by a Genetic Algorithm and Discrete Wavelet Transform

N. Arunkumar, João Manuel R. S. Tavares, Victor Hugo C. de Albuquerque, 2018, Cognitive Systems Research.

Polymethyl Methacrylate-Based Smart Microfluidic Point-of-Care Testing of Prothrombin Time and International Normalized Ratio through Optical Detection

E. Abdulhay, R. Khnouf, G. Ramírez-González, 2022, Computational and mathematical methods in medicine.

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

Oliver Faust, Enas Abdulhay, O. Faust, 2019, Pattern Recognit. Lett..

Automated ASD detection using hybrid deep lightweight features extracted from EEG signals

N. Arunkumar, Oliver Faust, Enas W. Abdulhay, 2021, Comput. Biol. Medicine.

Development of arduino based low cost neuro-feedback applied to ADHD

E. Abdulhay, A. Abdelhay, A. Kilani, 2016 .

K-Means clustering and neural network for object detecting and identifying abnormality of brain tumor

V. H. C. de Albuquerque, Mohd Khanapi Abd Ghani, E. Abdulhay, 2018, Soft Computing.

Comparing the efficiency of artificial neural networks in sEMG-based simultaneous and continuous estimation of hand kinematics

Wafa Batayneh, Enas Abdulhay, Mohammad Alothman, 2021, Digit. Commun. Networks.

Prediction of the performance of artificial neural networks in mapping sEMG to finger joint angles via signal pre-investigation techniques

Wafa Batayneh, Enas Abdulhay, Mohammad Alothman, 2020, Heliyon.

Anodic oxidation of slaughterhouse wastewater on boron-doped diamond: process variables effect.

E. Abdulhay, A. Abdelhay, I. Jum'h, 2017, Water science and technology : a journal of the International Association on Water Pollution Research.

A model of mechanical interactions between heart and lungs

Pierre Baconnier, Pierre-Yves Gumery, Pascale Calabrese, 2009, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

A robust and efficient password-based conditional privacy preserving authentication and group-key agreement protocol for VANETs

Mohammad S. Obaidat, Fagen Li, SK Hafizul Islam, 2017, Future Gener. Comput. Syst..

Gait and tremor investigation using machine learning techniques for the diagnosis of Parkinson disease

N. Arunkumar, Enas W. Abdulhay, V. Venkatraman, 2018, Future Gener. Comput. Syst..

Autism Spectrum Disorder Diagnostic System Using HOS Bispectrum with EEG Signals

The-Hanh Pham, U Rajendra Acharya, Joel Koh En Wei, 2020, International journal of environmental research and public health.

An alternative respiratory sounds classification system utilizing artificial neural networks

Rami J Oweis, Enas W Abdulhay, Amer Khayal, 2015, Biomedical journal.

K-Means clustering and neural network for object detecting and identifying abnormality of brain tumor

Mazin Abed Mohammed, Victor Hugo C. de Albuquerque, Enas W. Abdulhay, 2018, Soft Computing.

Investigation of a wavelet-based neural network learning algorithm applied to P300 based brain-computer interface

Rami J. Oweis, Enas Abdulhay, Areej Mohammad, 2018 .

Seizure classification in EEG signals utilizing Hilbert-Huang transform

Rami J Oweis, Enas W Abdulhay, E. Abdulhay, 2011, Biomedical engineering online.

An Automated Remote Cloud-Based Heart Rate Variability Monitoring System

Victor Hugo C. De Albuquerque, Enas Abdulhay, Ahmed Faeq Hussein, 2018, IEEE Access.

Classification of focal and non focal EEG using entropies

N. Arunkumar, Seifedine Kadry, Enas W. Abdulhay, 2017, Pattern Recognit. Lett..

Decision-level fusion scheme for nasopharyngeal carcinoma identification using machine learning techniques

N. Arunkumar, Mazin Abed Mohammed, Enas Abdulhay, 2018, Neural Computing and Applications.

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

Enas Abdulhay, Mario Munoz-Organero, Luz Santamaria-Granados, 2019, IEEE Access.

Automated Categorization of Multi-Class Brain Abnormalities Using Decomposition Techniques With MRI Images: A Comparative Study

Anjan Gudigar, U. Raghavendra, U. Rajendra Acharya, 2019, IEEE Access.

Classification of Normal, Ictal and Inter-ictal EEG via Direct Quadrature and Random Forest Tree

Areen K. Al-Bashir, E. Abdulhay, M. Alafeef, 2017, Journal of Medical and Biological Engineering.

A 64‐channel scheme for autism detection via scaled conjugate gradient‐based neural network classification of electroencephalogram ripples' complexity

E. Abdulhay, M. Alafeef, H. Hadoush, 2022, Expert Syst. J. Knowl. Eng..

Classification of Normal, Ictal and Inter-ictal EEG via Direct Quadrature and Random Forest Tree

Arwa Abdelhay, Areen Al-Bashir, Maha Alafeef, 2017, Journal of Medical and Biological Engineering.

Cardiogenic oscillations extraction in inductive plethysmography: Ensemble empirical mode decomposition

Pierre Baconnier, Pierre-Yves Gumery, Julie Fontecave, 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Review Article: Non-Invasive Fetal Heart Rate Monitoring Techniques

Rami J. Oweis, Enas Abdulhay, E. Abdulhay, 2014 .

Brain Complexity in Children with Mild and Severe Autism Spectrum Disorders: Analysis of Multiscale Entropy in EEG

E. Abdulhay, M. Alafeef, H. Hadoush, 2019, Brain Topography.

Computer-aided autism diagnosis via second-order difference plot area applied to EEG empirical mode decomposition

N. Arunkumar, Victor Hugo C. de Albuquerque, Maha Alafeef, 2018, Neural Computing and Applications.

An effect of big data technology with ant colony optimization based routing in vehicular ad hoc networks: Towards smart cities

Kartik Shankar, S. K. Lakshmanaprabu, S. Sheeba Rani, 2019, Journal of Cleaner Production.

Computer Aided Solution for Automatic Segmenting and Measurements of Blood Leucocytes Using Static Microscope Images

N. Arunkumar, Mazin Abed Mohammed, Enas W. Abdulhay, 2018, Journal of Medical Systems.

Autism diagnosis via correlation between vectors of direct quadrature instantaneous frequency of EEG analytic normalized intrinsic mode functions

Maha Alafeef, Enas Abdulhay, Arunkumar N, 2021, Expert Syst. J. Knowl. Eng..

Frequency 3D mapping and inter-channel stability of EEG intrinsic function pulsation: Indicators towards autism spectrum diagnosis

E. Abdulhay, M. Alafeef, H. Hadoush, 2017, 2017 10th Jordanian International Electrical and Electronics Engineering Conference (JIEEEC).

Iot based real time trafic control using cloud computing

E. Abdulhay, N. Arunkumar, M. Vardhana, 2019, Cluster Computing.

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

N. Arunkumar, Sunitha Lasrado, Enas W. Abdulhay, 2018, Cognitive Systems Research.

Fault-tolerant medical imaging system with quintuple modular redundancy (QMR) configurations

N. Arunkumar, V. Elamaran, V. Venkataraman, 2018 .

EMD-based analysis of complexity with dissociated EEG amplitude and frequency information: a data-driven robust tool -for Autism diagnosis- compared to multi-scale entropy approach.

E. Abdulhay, M. Alafeef, N. Arunkumar, 2022, Mathematical biosciences and engineering : MBE.

Brain Complexity in Children with Mild and Severe Autism Spectrum Disorders: Analysis of Multiscale Entropy in EEG

Maha Alafeef, Enas Abdulhay, Hikmat Hadoush, 2019, Brain Topography.

Automated identification for autism severity level: EEG analysis using empirical mode decomposition and second order difference plot

Maha Alafeef, Enas Abdulhay, Hikmat Hadoush, 2019, Behavioural Brain Research.

Computer-based Cobb angle measurement using deflection points in adolescence idiopathic scoliosis from radiographic images

N. Arunkumar, Enas W. Abdulhay, B. R. Tapas Bapu, 2018, Neural Computing and Applications.

Gait signal classification using an in-house built goniometer and naïve Bayes classifier

Enas W. Abdulhay, Ruba Khnouf, Rawan Al Junaidi, 2017, Int. J. Medical Eng. Informatics.

Resting-state EEG changes after bilateral anodal transcranial direct current stimulation over mirror neurons in children with autism spectrum disorders: A pilot study

E. Abdulhay, M. Alafeef, H. Hadoush, 2019, Brain Stimulation.

Automated diagnosis of epilepsy from EEG signals using ensemble learning approach

Enas W. Abdulhay, V. S. Balaji, M. Chandrasekar, 2017, Pattern Recognit. Lett..