Ahmed J. Aljaaf
Orcid: 0000-0001-5072-2464
According to our database1,
Ahmed J. Aljaaf
authored at least 42 papers
between 2014 and 2023.
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Bibliography
2023
Task Scheduling in IoT Cloud-Fog Environment Utilising a Hybrid Method and Firefly Algorithm.
Proceedings of the 16th International Conference on Developments in eSystems Engineering, 2023
Perspectives on industry 4.0 awareness among undergraduate IT students in IRAQ: University of Anbar as a case study.
Proceedings of the 16th International Conference on Developments in eSystems Engineering, 2023
2022
Proceedings of the Artificial Intelligence and Online Engineering - Proceedings of the 19th International Conference on Remote Engineering and Virtual Instrumentation, British University, Cairo, Egypt, 28 February, 2022
Proceedings of the Data Science and Emerging Technologies, 2022
Consumer Behavior Prediction During Covid-19 Pandemic Conditions Using Sentiment Analytics.
Proceedings of the Data Science and Emerging Technologies, 2022
2021
J. Intell. Syst., 2021
A fusion of data science and feed-forward neural network-based modelling of COVID-19 outbreak forecasting in IRAQ.
J. Biomed. Informatics, 2021
Proceedings of the Mobility for Smart Cities and Regional Development - Challenges for Higher Education, 2021
RSM (Response Surface Methodology) Modelling of Inter-Electrodes Spacing Effects on Phosphate Removal.
Proceedings of the 14th International Conference on Developments in eSystems Engineering, 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
Proceedings of the Handbook of Computer Networks and Cyber Security, 2020
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
Proceedings of the 12th International Conference on Developments in eSystems Engineering, 2019
Investigating the Mechanical and Durability Performance of Cement Mortar Incorporated Modified Fly Ash and Ground Granulated Blast Furnace Slag as Cement Replacement Materials.
Proceedings of the 12th International Conference on Developments in eSystems Engineering, 2019
Proceedings of the 12th International Conference on Developments in eSystems Engineering, 2019
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
Data Science Techniques to Support Prediction, Diagnosis and Recode Treatment of Alzheimer'S Disease.
Proceedings of the 12th International Conference on Developments in eSystems Engineering, 2019
An Insight into ICP Monitoring of Patients with Hydrocephalus using Data Science Approach.
Proceedings of the 16th IEEE/ACS International Conference on Computer Systems and Applications, 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
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
Proceedings of the 11th International Conference on Developments in eSystems Engineering, 2018
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
Intelligent systems approach for classification and management of patients with headache.
PhD thesis, 2017
Neurocomputing, 2017
Proceedings of the Intelligent Computing Theories and Application, 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
2016
Evaluation of machine learning methods to predict knee loading from the movement of body segments.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the Intelligent Computing Theories and Application, 2016
2015
Applied machine learning classifiers for medical applications: Clarifying the behavioural patterns using a variety of datasets.
Proceedings of the International Conference on Systems, Signals and Image Processing, 2015
A Systematic Comparison and Evaluation of Supervised Machine Learning Classifiers Using Headache Dataset.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015
2014
A Study of Data Classification and Selection Techniques for Medical Decision Support Systems.
Proceedings of the Intelligent Computing Methodologies - 10th International Conference, 2014