Mohamed Alloghani

Orcid: 0000-0003-3617-0987

Affiliations:
  • Liverpool John Moores University, UK (PhD 2019)


According to our database1, Mohamed Alloghani authored at least 28 papers between 2015 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
A fusion of data science and feed-forward neural network-based modelling of COVID-19 outbreak forecasting in IRAQ.
J. Biomed. Informatics, 2021

Professional Self-identification of Student's Majoring in Engineering.
Proceedings of the Mobility for Smart Cities and Regional Development - Challenges for Higher Education, 2021

2020
Prospects of Machine and Deep Learning in Analysis of Vital Signs for the Improvement of Healthcare Services.
Proceedings of the Nature-Inspired Computation in Data Mining and Machine Learning, 2020

Implementation of Machine Learning and Data Mining to Improve Cybersecurity and Limit Vulnerabilities to Cyber Attacks.
Proceedings of the Nature-Inspired Computation in Data Mining and Machine Learning, 2020

Performance-Based Prediction of Chronic Kidney Disease Using Machine Learning for High-Risk Cardiovascular Disease Patients.
Proceedings of the Nature-Inspired Computation in Data Mining and Machine Learning, 2020

Correction to: Implementation of machine learning algorithms to create diabetic patient re-admission profiles.
BMC Medical Informatics Decis. Mak., 2020

A Systematic Review on Security and Privacy Issues in Mobile Devices and Systems.
Proceedings of the Handbook of Computer Networks and Cyber Security, 2020

2019
An intelligent citizen-centric oriented model for egovernance: a UAE case study.
PhD thesis, 2019

Implementation of machine learning algorithms to create diabetic patient re-admission profiles.
BMC Medical Informatics Decis. Mak., 2019

Patients Attitude to Technology - A Way to Improve Hydrocephalus Management and Follow up Using Smartphone Intelligent Application.
J. Medical Syst., 2019

A systematic review on the status and progress of homomorphic encryption technologies.
J. Inf. Secur. Appl., 2019

An Application of Using Support Vector Machine Based on Classification Technique for Predicting Medical Data Sets.
Proceedings of the Intelligent Computing Theories and Application, 2019

A Perspective on Education to Support Industry 4.0: A Qualitative Case Study in UK.
Proceedings of the 12th International Conference on Developments in eSystems Engineering, 2019

Challenges for Language Education within the Industry 4.0: Case of California.
Proceedings of the 12th International Conference on Developments in eSystems Engineering, 2019

A Novel Self-Calibration Technique for Linear Array Based on Modified MVDR Adaptive Beamformer.
Proceedings of the 12th International Conference on Developments in eSystems Engineering, 2019

The Application of Artificial Intelligence Technology in Healthcare: A Systematic Review.
Proceedings of the Applied Computing to Support Industry: Innovation and Technology, 2019

2018
Applications of Machine Learning Techniques for Software Engineering Learning and Early Prediction of Students' Performance.
Proceedings of the Soft Computing in Data Science - 4th International Conference, 2018

Learning Analytics and Serious Games: Analysis of Interrelation.
Proceedings of the 11th International Conference on Developments in eSystems Engineering, 2018

Application of Learning Analytics in Higher Educational Institutions.
Proceedings of the 11th International Conference on Developments in eSystems Engineering, 2018

Application of Machine Learning on Student Data for the Appraisal of Academic Performance.
Proceedings of the 11th International Conference on Developments in eSystems Engineering, 2018

Healthcare Services Innovations Based on the State of the Art Technology Trend Industry 4.0.
Proceedings of the 11th International Conference on Developments in eSystems Engineering, 2018

Data Science to Improve Patient Management System.
Proceedings of the 11th International Conference on Developments in eSystems Engineering, 2018

H-Diary: Mobile Application for Headache Diary and Remote Patient Monitoring.
Proceedings of the 11th International Conference on Developments in eSystems Engineering, 2018

Early Prediction of Chronic Kidney Disease Using Machine Learning Supported by Predictive Analytics.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

A Study of Data Classification and Selection Techniques to Diagnose Headache Patients.
Proceedings of the Applications of Big Data Analytics, Trends, Issues, and Challenges., 2018

2017
Overview on Modern Serious Games for Regional and Minority Languages Promotion.
Proceedings of the 10th International Conference on Developments in eSystems Engineering, 2017

Development of an Interactive System to Enhance Strategic Planning Process and Quality of Aviation Operations Using Balanced Scorecard: A UAE Case study.
Proceedings of the 10th International Conference on Developments in eSystems Engineering, 2017

2015
Technology Acceptance Model for the Use of M-Health Services among Health Related Users in UAE.
Proceedings of the International Conference on Developments of E-Systems Engineering, 2015


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