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ORCIDDhiya Al-Jumeily
- > Home > Persons > Dhiya Al-Jumeily
Publications
- 2023
[c132]Ahmed J. Aljaaf, Mohammed Khalaf, Mushtak T. S. Neda Al-Ouqaili, Dhiya Al-Jumeily, Jamila Mustafina, Aysha Al-Rawi, Maha M. Rasheed:
Perspectives on industry 4.0 awareness among undergraduate IT students in IRAQ: University of Anbar as a case study. DeSE 2023: 777-781- 2021
- [j31]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
- [j22]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) - [p6]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 - [p5]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 - [p4]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 - [p3]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 - 2019
- [j17]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) - [j16]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) - [j15]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) - [c120]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 - [c116]Ali Abdulhussein Shubbar, Dhiya Al-Jumeily, Ahmed J. Aljaaf, Mohammed Alyafei, Monower Sadique, Jamila Mustafina:
Investigating the Mechanical and Durability Performance of Cement Mortar Incorporated Modified Fly Ash and Ground Granulated Blast Furnace Slag as Cement Replacement Materials. DeSE 2019: 434-439 - 2018
- [c110]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 - [c105]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 - [c104]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 - [c103]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 - [c101]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 - [c100]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 - [c92]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 - [p2]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 - 2017
- [j12]Paul Fergus, Abir Jaafar Hussain, John Hearty, Stuart Fairclough, Lynne Boddy, Kelly A. Mackintosh, Gareth Stratton, Nicola D. Ridgers, Dhiya Al-Jumeily, Ahmed J. Aljaaf, Janet Lunn:
A machine learning approach to measure and monitor physical activity in children. Neurocomputing 228: 220-230 (2017) - [c85]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 - [c83]Robert Keight, Ahmed J. Aljaaf, Dhiya Al-Jumeily, Abir Jaafar Hussain, Aynur Özge, Conor Mallucci:
An Intelligent Systems Approach to Primary Headache Diagnosis. ICIC (2) 2017: 61-72 - 2016
- [c65]Ahmed J. Aljaaf, Dhiya Al-Jumeily, Abir Jaafar Hussain, Paul Fergus, Mohammed Al-Jumaily, Hani Hamdan:
Partially Synthesised Dataset to Improve Prediction Accuracy. ICIC (1) 2016: 855-866 - 2015
- [c52]Ahmed J. Aljaaf, Dhiya Al-Jumeily, Abir Jaafar Hussain, Paul Fergus, Mohammed Al-Jumaily, Naeem Radi:
A Systematic Comparison and Evaluation of Supervised Machine Learning Classifiers Using Headache Dataset. ICIC (3) 2015: 101-108 - [c44]Ahmed J. Aljaaf, Dhiya Al-Jumeily, Abir Jaafar Hussain, Paul Fergus, Mohammed Al-Jumaily, Naeem Radi:
Applied machine learning classifiers for medical applications: Clarifying the behavioural patterns using a variety of datasets. IWSSIP 2015: 228-232 - 2014
- [c36]Ahmed J. Aljaaf, Dhiya Al-Jumeily, Abir Jaafar Hussain, David J. Lamb, Mohammed Al-Jumaily, Khaled Abdel-Aziz:
A Study of Data Classification and Selection Techniques for Medical Decision Support Systems. ICIC (2) 2014: 135-143
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