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Просмотр по автору "Al-Jumeily D."

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A novel artificial neural network scheme for modelling of nonlinear soil stress-strain modulus exponent

Jebur A.; Al-Jumeily D.; Aljaaf A.; Aljanabi K.; Khaddar R.; Atherton W.; Alattar Z.; Majeed A.; Mustafina J. (2019)

© 2018 IEEE. The principal aim of this study was to develop and verify a new Artificial Intelligence model to predict the hyperbolic soil stress-strain parameter, namely the modulus exponent (n). To achieve the planned ...
A Novel Hybrid Machine Learning Approach Using Deep Learning for the Prediction of Alzheimer Disease Using Genome Data

Alatrany A.; Hussain A.; Mustafina J.; Al-Jumeily D. (2021)

Genome-wide association studies are aimed at identifying associations between commonly occurring variations in a group of individuals and a phonotype, in which the Deoxyribonucleic acid is genotyped in the form of single ...
A systematic review on the status and progress of homomorphic encryption technologies

Alloghani M.; M. Alani M.; Al-Jumeily D.; Baker T.; Mustafina J.; Hussain A.; J. Aljaaf A. (2019)

© 2019 With the emergence of big data and the continued growth in cloud computing applications, serious security and privacy concerns emerged. Consequently, several researchers and cybersecurity experts have embarked on a ...
AI in Skin Cancer Detection

Al-Askar H.; Almurshedi R.; Mustafina J.; Al-Jumeily D.; Hussain A. (2021)

Skin cancer is classified as one of the most dangerous cancer. Malignant melanoma is one of the deadliest types of skin cancer. Early detection of malignant melanoma is essential for treatment, hence saving lives and can ...
Application of learning analytics in higher educational institutions

Mustafina J.; Galiullin L.; Al-Jumeily D.; Petrov E.; Alloghani M.; Kaky A. (2019)

© 2018 IEEE. This article considers how teachers and university administrators can use a significant amount of data stored in the information systems of institutions. Intelligent analysis of these learning processes is of ...
Application of machine learning on student data for the appraisal of academic performance

Alloghani M.; Al-Jumeily D.; Hussain A.; Aljaaf A.; Mustafina J.; Petrov E. (2019)

© 2018 IEEE. Education With the inclusion and integration of internet and digital learning Education 2. 0 brought tools in the different context of education. The use of social networking concepts such as chat rooms and ...
Applications of machine learning techniques for software engineering learning and early prediction of students’ performance

Alloghani M.; Al-Jumeily D.; Baker T.; Hussain A.; Mustafina J.; Aljaaf A. (2019)

© Springer Nature Singapore Pte Ltd. 2019. Educational data mining has been widely used to predict student performance and establish intervention strategies to improve that performance. Most studies have implemented machine ...
Cyber Security Risk Evaluation Research Based on Entropy Weight Method

Hamid T.; Al-Jumeily D.; Hussain A.; Mustafina J. (2017)

© 2016 IEEE. The risk assessment of any Network or Security systems has a high level of uncertainties because usually probability and statistics were used to evaluate the security of different cyber security systems. In ...
Data science to improve patient management system

Alloghani M.; Aljaaf A.; Al-Jumeily D.; Hussain A.; Mallucci C.; Mustafina J. (2019)

© 2018 IEEE. The rate at which people miss hospital appointments has decreased but remains a big concern for health care professionals as well as funding agencies. This research paper used an open data obtained from the ...
Early Prediction of Chronic Kidney Disease Using Machine Learning Supported by Predictive Analytics

Aljaaf A.; Al-Jumeily D.; Haglan H.; Alloghani M.; Baker T.; Hussain A.; Mustafina J. (2018)

© 2018 IEEE. Chronic Kidney Disease is a serious lifelong condition that induced by either kidney pathology or reduced kidney functions. Early prediction and proper treatments can possibly stop, or slow the progression of ...
Erratum: Correction to: Implementation of machine learning algorithms to create diabetic patient re-admission profiles (BMC medical informatics and decision making (2019) 19 Suppl 9 (253))

Alloghani M.; Aljaaf A.; Hussain A.; Baker T.; Mustafina J.; Al-Jumeily D.; Khalaf M. (2020)

An amendment to this paper has been published and can be accessed via the original article.
Gamification in e-governance: Development of an online gamified system to enhance government entities services delivery and promote public's awareness

Alloghani M.; Hussain A.; Al-Jumeily D.; Aljaaf A.; Mustafina J. (2017)

© 2017 ACM.Electronic Governance (e-Governance) is the application of the Information and Communication Technology (ICT) with the aim to simplify and support the governance across different parties including public government ...
H-Diary: Mobile application for headache diary and remote patient monitoring

Aljaaf A.; Al-Jumeily D.; Asman T.; Hussain A.; Baker T.; Alloghani M.; Mustafina J. (2019)

© 2018 IEEE. The initial monitoring of patients with headache is an essential part of ongoing patient safety. Usually, patients are asked to fill in traditional paper-based diaries or outcome measures (e.g., HIT-6 and ...
Healthcare Services Innovations Based on the State of the Art Technology Trend Industry 4.0

Alloghani M.; Al-Jumeily D.; Hussain A.; Aljaaf A.; Mustafina J.; Petrov E. (2019)

© 2018 IEEE. The contextual compendium analysis presented in this paper focuses on the Industry 4.0 and healthcare services innovation that relate to it. The appraisal discerns the specific components of Industry 4.0 and ...
Implementation of machine learning algorithms to create diabetic patient re-admission profiles

Alloghani M.; Aljaaf A.; Hussain A.; Baker T.; Mustafina J.; Al-Jumeily D.; Khalaf M. (2019)

BACKGROUND: Machine learning is a branch of Artificial Intelligence that is concerned with the design and development of algorithms, and it enables today's computers to have the property of learning. Machine learning is ...
Implementation of machine learning and data mining to improve cybersecurity and limit vulnerabilities to cyber attacks

Alloghani M.; Al-Jumeily D.; Hussain A.; Mustafina J.; Baker T.; Aljaaf A.J. (2020)

© Springer Nature Switzerland AG 2020. Of the many challenges that continue to make detection of cyber-attack detection elusive, lack of training data remains the biggest one. Even though organizations and business turn ...
Lumbar spine discs labeling using axial view MRI based on the pixels coordinate and gray level features

Al Kafri A.; Sudirman S.; Hussain A.; Fergus P.; Al-Jumeily D.; Al Smadi H.; Khalaf M.; Al-Jumaily M.; Al-Rashdan W.; Bashtawi M.; Mustafina J. (2017)

© Springer International Publishing AG 2017. Disc herniation is a major reason for lower back pain (LBP), a health issue that affects a very high proportion of the UK population and is costing the UK government over £1.3 ...
Novel Approach to Predict Ground-Level Ozone Concentration Using S-estimation and MM-Estimimation

Ul-Saufie A.Z.; Al-Jumeily D.; Hussain A.; Muhamad M.; Musafina J.; Ghali F.; Baker T. (2020)

© 2020 IEEE. Ground-level ozone concentration is one of the main concerns for air pollution, due to the negative impacts on human health, animals, foliage, climate and the whole ecosystem. The aim of this paper is to reduce ...
Prospects of machine and deep learning in analysis of vital signs for the improvement of healthcare services

Alloghani M.; Baker T.; Al-Jumeily D.; Hussain A.; Mustafina J.; Aljaaf A. (2020)

© Springer Nature Switzerland AG 2020. The advent of eHealth and the need for real-time patient monitoring and assessment has prompted interest in understanding people behavior for improving care services. In this paper, ...
The Application of Artificial Intelligence Technology in Healthcare: A Systematic Review

Alloghani M.; Al-Jumeily D.; Aljaaf A.; Khalaf M.; Mustafina J.; Tan S. (2020)

© 2020, Springer Nature Switzerland AG. The proliferation of artificial intelligence and its continued development can be attributed to the pursuit of advanced machine learning techniques for handling big health data. Even ...

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