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ORCIDAhmed J. Aljaaf
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Books and Theses
- 2017
[b1]Ahmed Jasim Mohammed (Aljaaf) Kaky:
Intelligent systems approach for classification and management of patients with headache. Liverpool John Moores University, UK, 2017
Journal Articles
- 2021
- [j7]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) - [j6]Mohammed Kamal Nsaif, Bilal Adil Mahdi, Yusor Rafid Bahar Al-Mayouf, Omar Adil Mahdi, Ahmed J. Aljaaf, Suleman Khan:
An online COVID-19 self-assessment framework supported by IoMT technology. J. Intell. Syst. 30(1): 966-975 (2021) - 2020
- [j5]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
- [j4]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) - [j3]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) - [j2]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) - 2017
- [j1]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)
Conference and Workshop Papers
- 2023
- [c29]Ahmed Abd Al-Kadem Hadi, Mujtaba Zuhair Al-Amshawi, Mohammed Al-Khafajiy, Dhiya Al-Jumeily Obe, Rusul Almurshedi, Ahmed J. Aljaaf:
Task Scheduling in IoT Cloud-Fog Environment Utilising a Hybrid Method and Firefly Algorithm. DeSE 2023: 418-423 - [c28]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 - 2022
- [c27]Saravanan Murugan, Sulaf Assi, Abbas Saad Alatrany, Manoj Jayabalan, Panagiotis Liatsis, Jamila Mustafina, Abdullah Al-Hamid, Maitham G. Yousif, Ahmed Kaky, Danny Ngo Lung Yao, Dhiya Al-Jumeily Obe:
Consumer Behavior Prediction During Covid-19 Pandemic Conditions Using Sentiment Analytics. DaSET 2022: 209-221 - [c26]Saket Satpute, Manoj Jayabalan, Hoshang Kolivand, Jolnar Assi, Omar A. Aldhaibani, Panagiotis Liatsis, Paridah Daud, Ali Al Ataby, Wasiq Khan, Ahmed Kaky, Sahar Al-Sudani, Mohamed Mahyoub:
Loan Default Forecasting Using StackNet. DaSET 2022: 434-447 - [c25]Jamila Mustafina, Lenar Galiullin, Aigul Khanova, Evgeniya Maklakova, Ahmed J. Aljaaf:
Automatic Curriculum Scheduling in the Context of Learning Analytics. REV 2022: 366-371 - 2021
- [c24]Khalid Hashim, Jawad K. A. Al-Rifaie, Ahmed J. Aljaaf, Ibijoke Idowu, Joseph Amoako-Attah, Georgios Nikitas:
RSM (Response Surface Methodology) Modelling of Inter-Electrodes Spacing Effects on Phosphate Removal. DeSE 2021: 586-589 - [c23]Egor Petrov, Jamila Mustafina, Ahmed J. Aljaaf, Khayrullin Askar, Rustem R. Magizov:
Intelligent Systems in Translation to Assist in Engineers' Training. ICL (1) 2021: 754-765 - 2019
- [c22]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 - [c21]Hiba Alsmadi, Ahmed J. Aljaaf, Abir Jaafar Hussain, Jamila Mustafina, Rawaa Al-Jumeily, Thar Baker, Conor Mallucci:
An Insight into ICP Monitoring of Patients with Hydrocephalus using Data Science Approach. AICCSA 2019: 1-2 - [c20]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 - [c19]Matthew Harper, Jamila Mustafina, Ahmed J. Aljaaf, Jan Lunn, Salwa Yasen, Fawaz Ghali:
Data Science Techniques to Support Prediction, Diagnosis and Recode Treatment of Alzheimer'S Disease. DeSE 2019: 332-339 - [c18]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 - [c17]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 - [c16]O. Salih, H. B. Smadi, M. Messina, Conor Mallucci, Jamila Mustafina, Ahmed J. Aljaaf:
Smart Shunting and Monitoring of Hydrocephalus Patients. DeSE 2019: 861-866 - [c15]Omar Munthir Al Okashi, Flath M. Mohammed, Ahmed J. Aljaaf:
An Ensemble Learning Approach for Automatic Brain Hemorrhage Detection from MRIs. DeSE 2019: 929-932 - 2018
- [c14]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 - [c13]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 - [c12]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 - [c11]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 - [c10]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 - [c9]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 - [c8]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
- [c7]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 - [c6]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
- [c5]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 - [c4]Ahmed J. Aljaaf, Abir Jaafar Hussain, Paul Fergus, Andrzej Przybyla, Gabor J. Barton:
Evaluation of machine learning methods to predict knee loading from the movement of body segments. IJCNN 2016: 5168-5173 - 2015
- [c3]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 - [c2]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
- [c1]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
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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