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Mesfer Alrizq

As seen in: Wiley Online Library, MDPI
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Articles

Effective privacy preserving model based on adversarial CNN with IBOA in the social IoT systems for CEC

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By Prashant Shukla, Charu Gandhi, Mesfer Alrizq, Shraddha V. Pandit
| Wiley Online Library Verified
REFERENCES 1, , . Privacy preservation in blockchain based IoT systems: integration issues, prospects, challenges, and future research directions. Future Generation Computer Systems. 2019; 97: 512-529. doi:10.1016/j.future.2019.02.060 2, , , . DeepPAR and DeepDPA: privacy preserving and asynchronous deep learning for industrial IoT. IEEE Trans Industr Inform. 2019; 16(3): 2081-2090. 3, , .
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A Combined Method for Diabetes Mellitus Diagnosis Using Deep Learning, Singular Value Decomposition, and Self-Organizing Map Approaches

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By Mehrbakhsh Nilashi, Rabab Ali Abumalloh, Abdullah Alghamdi, Mesfer Alrizq
| MDPI
Abstract : Diabetes in humans is a rapidly expanding chronic disease and a major crisis in modern societies. The classification of diabetics is a challenging and important procedure that allows the interpretation of diabetic data and diagnosis. Missing values in datasets can impact the prediction accuracy of the methods for the diagnosis. Due to this, a variety of machine learning techniques has been studied in the past.
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Parkinson’s Disease Diagnosis Using Laplacian Score, Gaussian Process Regression and Self-Organizing Maps

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By Mehrbakhsh Nilashi, Abdullah Alghamdi, Mesfer Alrizq, Rabab Ali Abumalloh
| MDPI
Abstract : Parkinson’s disease (PD) is a complex degenerative brain disease that affects nerve cells in the brain responsible for body movement. Machine learning is widely used to track the progression of PD in its early stages by predicting unified Parkinson’s disease rating scale (UPDRS) scores. In this paper, we aim to develop a new method for PD diagnosis with the aid of supervised and unsupervised learning techniques.
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