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ORCIDMohamed Alloghani
Person information
- affiliation (PhD 2019): Liverpool John Moores University, UK
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Books and Theses
- 2019
[b1]Mohamed Ahmed Mohamed Alloghani:
An intelligent citizen-centric oriented model for egovernance: a UAE case study. Liverpool John Moores University, UK, 2019
Journal Articles
- 2021
- [j5]Ahmed J. Aljaaf, Thakir M. Mohsin, Dhiya Al-Jumeily
, Mohamed Alloghani:
A fusion of data science and feed-forward neural network-based modelling of COVID-19 outbreak forecasting in IRAQ. J. Biomed. Informatics 118: 103766 (2021) - 2020
- [j4]Mohamed Alloghani, Ahmed J. Aljaaf, Abir Hussain, Thar Baker, Jamila Mustafina, Dhiya Al-Jumeily, Mohammed Khalaf:
Correction to: Implementation of machine learning algorithms to create diabetic patient re-admission profiles. BMC Medical Informatics Decis. Mak. 20(1): 93 (2020) - 2019
- [j3]Mohamed Alloghani, Mohammed M. Alani, Dhiya Al-Jumeily, Thar Baker, Jamila Mustafina, Abir Hussain, Ahmed J. Aljaaf:
A systematic review on the status and progress of homomorphic encryption technologies. J. Inf. Secur. Appl. 48 (2019) - [j2]Ahmed J. Aljaaf, Libby Van Tonder, Conor Mallucci, Dhiya Al-Jumeily, Abir Hussain, Mohamed Alloghani:
Patients Attitude to Technology - A Way to Improve Hydrocephalus Management and Follow up Using Smartphone Intelligent Application. J. Medical Syst. 43(9): 295:1-295:7 (2019) - [j1]Mohamed Alloghani, Ahmed J. Aljaaf, Abir Hussain, Thar Baker, Jamila Mustafina, Dhiya Al-Jumeily, Mohammed Khalaf:
Implementation of machine learning algorithms to create diabetic patient re-admission profiles. BMC Medical Informatics Decis. Mak. 19-S(9): 253 (2019)
Conference and Workshop Papers
- 2021
- [c17]Ramilya Farakshina, Slavina Liliya, Jamila Mustafina, Nailya Nurutdinova, Khayrullin Askar, Ahmed Al-Jaaf, Mohamed Alloghani:
Professional Self-identification of Student's Majoring in Engineering. ICL (1) 2021: 787-796 - 2019
- [c16]Mohamed Alloghani, Dhiya Al-Jumeily, Ahmed J. Aljaaf, Mohammed Khalaf, Jamila Mustafina, Sin Ying Tan:
The Application of Artificial Intelligence Technology in Healthcare: A Systematic Review. ACRIT 2019: 248-261 - [c15]Sin Ying Tan, Abir Hussain, Jamila Mustafina, Ahmed J. Aljaaf, Mohamed Alloghani:
A Perspective on Education to Support Industry 4.0: A Qualitative Case Study in UK. DeSE 2019: 215-220 - [c14]Slavina Liliya, Jamila Mustafina, Mohamed Alloghani, Ganieva Gulnara:
Challenges for Language Education within the Industry 4.0: Case of California. DeSE 2019: 225-230 - [c13]Omar Khaldoon, Ahmed J. Aljaaf, Mohamed Alloghani:
A Novel Self-Calibration Technique for Linear Array Based on Modified MVDR Adaptive Beamformer. DeSE 2019: 345-350 - [c12]Mohammed Khalaf, Abir Jaafar Hussain, Omar Alfandi, Dhiya Al-Jumeily, Mohamed Alloghani, Mahmood Alsaadi, Omar A. Dawood, Dhafar Hamed Abd:
An Application of Using Support Vector Machine Based on Classification Technique for Predicting Medical Data Sets. ICIC (2) 2019: 580-591 - 2018
- [c11]Ahmed J. Aljaaf, Dhiya Al-Jumeily, Hussein M. Haglan, Mohamed Alloghani, Thar Baker, Abir Jaafar Hussain, Jamila Mustafina:
Early Prediction of Chronic Kidney Disease Using Machine Learning Supported by Predictive Analytics. CEC 2018: 1-9 - [c10]Ahmed J. Aljaaf, Dhiya Al-Jumeily, Thaaer kh. Asman, Abir Jaafar Hussain, Thar Baker, Mohamed Alloghani, Jamila Mustafina:
H-Diary: Mobile Application for Headache Diary and Remote Patient Monitoring. DeSE 2018: 18-22 - [c9]Mohamed Alloghani, Ahmed J. Aljaaf, Dhiya Al-Jumeily, Abir Hussain, Conor Mallucci, Jamila Mustafina:
Data Science to Improve Patient Management System. DeSE 2018: 27-30 - [c8]Mohamed Alloghani, Dhiya Al-Jumeily, Abir Hussain, Ahmed J. Aljaaf, Jamila Mustafina, Egor Petrov:
Healthcare Services Innovations Based on the State of the Art Technology Trend Industry 4.0. DeSE 2018: 64-70 - [c7]Egor V. Petrov, Jamila Mustafina, Mohamed Alloghani, Lenar Galiullin, Sin Ying Tan:
Learning Analytics and Serious Games: Analysis of Interrelation. DeSE 2018: 153-156 - [c6]Mohamed Alloghani, Dhiya Al-Jumeily, Abir Hussain, Ahmed J. Aljaaf, Jamila Mustafina, Egor Petrov:
Application of Machine Learning on Student Data for the Appraisal of Academic Performance. DeSE 2018: 157-162 - [c5]Jamila Mustafina, Lenar Galiullin, Dhiya Al-Jumeily, Egor Petrov, Mohamed Alloghani, Ahmed Kaky:
Application of Learning Analytics in Higher Educational Institutions. DeSE 2018: 163-168 - [c4]Mohamed Alloghani, Dhiya Al-Jumeily, Thar Baker, Abir Hussain, Jamila Mustafina, Ahmed J. Aljaaf:
Applications of Machine Learning Techniques for Software Engineering Learning and Early Prediction of Students' Performance. SCDS 2018: 246-258 - 2017
- [c3]Egor Petrov, Jamila Mustafina, Mohamed Alloghani:
Overview on Modern Serious Games for Regional and Minority Languages Promotion. DeSE 2017: 120-123 - [c2]Mohamed Alloghani, Abir Hussain, Dhiya Al-Jumeily, Ahmed J. Aljaaf, Nasser AlShamsi:
Development of an Interactive System to Enhance Strategic Planning Process and Quality of Aviation Operations Using Balanced Scorecard: A UAE Case study. DeSE 2017: 201-205 - 2015
- [c1]Mohamed Alloghani, Abir Hussain, Dhiya Al-Jumeily, Omar Abuelma'atti:
Technology Acceptance Model for the Use of M-Health Services among Health Related Users in UAE. DeSE 2015: 213-217
Parts in Books or Collections
- 2020
- [p5]Mohamed Alloghani, Thar Baker, Dhiya Al-Jumeily, Abir Hussain, Jamila Mustafina, Ahmed J. Aljaaf:
A Systematic Review on Security and Privacy Issues in Mobile Devices and Systems. Handbook of Computer Networks and Cyber Security 2020: 585-608 - [p4]Mohamed Alloghani, Dhiya Al-Jumeily, Abir Hussain, Jamila Mustafina, Thar Baker, Ahmed J. Aljaaf:
Implementation of Machine Learning and Data Mining to Improve Cybersecurity and Limit Vulnerabilities to Cyber Attacks. Nature-Inspired Computation in Data Mining and Machine Learning 2020: 47-76 - [p3]Mohamed Alloghani, Thar Baker, Dhiya Al-Jumeily, Abir Hussain, Jamila Mustafina, Ahmed J. Aljaaf:
Prospects of Machine and Deep Learning in Analysis of Vital Signs for the Improvement of Healthcare Services. Nature-Inspired Computation in Data Mining and Machine Learning 2020: 113-136 - [p2]Mohamed Alloghani, Dhiya Al-Jumeily, Abir Hussain, Panagiotis Liatsis, Ahmed J. Aljaaf:
Performance-Based Prediction of Chronic Kidney Disease Using Machine Learning for High-Risk Cardiovascular Disease Patients. Nature-Inspired Computation in Data Mining and Machine Learning 2020: 187-206 - 2018
- [p1]Ahmed J. Aljaaf, Conor Mallucci, Dhiya Al-Jumeily, Abir Hussain, Mohamed Alloghani, Jamila Mustafina:
A Study of Data Classification and Selection Techniques to Diagnose Headache Patients. Applications of Big Data Analytics 2018: 121-134
Coauthor Index
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