Mabrook Al-Rakhami

Orcid: 0000-0001-5343-8370

Affiliations:
  • King Saud University, College of Computer and Information Sciences, Riyadh, Saudi Arabia


According to our database1, Mabrook Al-Rakhami authored at least 58 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Online presence:

On csauthors.net:

Bibliography

2024
Effective Skin Cancer Diagnosis Through Federated Learning and Deep Convolutional Neural Networks.
Appl. Artif. Intell., December, 2024

Corrections to "Federated Learning Approach for Breast Cancer Detection Based on DCNN".
IEEE Access, 2024

Federated Learning Approach for Breast Cancer Detection Based on DCNN.
IEEE Access, 2024

2023
Secure Data Aggregation Based on End-to-End Homomorphic Encryption in IoT-Based Wireless Sensor Networks.
Sensors, July, 2023

Analyzing the Public Opinion as a Guide for Renewable-Energy Status in Malaysia: A Case Study.
IEEE Trans. Engineering Management, 2023

A Distributed Ensemble of Diverse Deep Learning Models for Predicting COVID-19 Cases.
Proceedings of the 20th IEEE International Conference on Smart Technologies, 2023

2022
An Effective Approach for Rumor Detection of Arabic Tweets Using eXtreme Gradient Boosting Method.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2022

An Approach for Demand Forecasting in Steel Industries Using Ensemble Learning.
Complex., 2022

A Deep Neural Network Model for the Detection and Classification of Emotions from Textual Content.
Complex., 2022

Interoperability approaches of blockchain technology for supply chain systems.
Bus. Process. Manag. J., 2022

Pattern Descriptors Orientation and MAP Firefly Algorithm Based Brain Pathology Classification Using Hybridized Machine Learning Algorithm.
IEEE Access, 2022

ProChain: Provenance-Aware Traceability Framework for IoT-Based Supply Chain Systems.
IEEE Access, 2022

An Investigative Study on the Effects of Pedagogical Agents on Intrinsic, Extraneous and Germane Cognitive Load: Experimental Findings With Dyscalculia and Non-Dyscalculia Learners.
IEEE Access, 2022

2021
Machine Learning Approaches for Tackling Novel Coronavirus (COVID-19) Pandemic.
SN Comput. Sci., 2021

Prediction of Cervical Cancer from Behavior Risk Using Machine Learning Techniques.
SN Comput. Sci., 2021

On the Security and Privacy Challenges of Virtual Assistants.
Sensors, 2021

A Blockchain-Based Trust Model for the Internet of Things Supply Chain Management.
Sensors, 2021

Auxiliary Diagnosis of COVID-19 Based on 5G-Enabled Federated Learning.
IEEE Netw., 2021

Deep Learning and Blockchain with Edge Computing for 5G-Enabled Drone Identification and Flight Mode Detection.
IEEE Netw., 2021

Machine learning-based mathematical modelling for prediction of social media consumer behavior using big data analytics.
J. Big Data, 2021

An Explainable System for Diagnosis and Prognosis of COVID-19.
IEEE Internet Things J., 2021

Feature selection with ensemble learning for prostate cancer diagnosis from microarray gene expression.
Health Informatics J., 2021

Decentralized Blockchain-based model for Edge Computing.
CoRR, 2021

Applying Deep Learning Methods on Time-Series Data for Forecasting COVID-19 in Egypt, Kuwait, and Saudi Arabia.
Complex., 2021

Evaluation of the Economic Relationships on the Basis of Statistical Decision-Making in Complex Neutrosophic Environment.
Complex., 2021

Detection and Classification of Psychopathic Personality Trait from Social Media Text Using Deep Learning Model.
Comput. Math. Methods Medicine, 2021

A deep learning-based edge-fog-cloud framework for driving behavior management.
Comput. Electr. Eng., 2021

Cyber Threat Predictive Analytics for Improving Cyber Supply Chain Security.
IEEE Access, 2021

CardioXNet: A Novel Lightweight Deep Learning Framework for Cardiovascular Disease Classification Using Heart Sound Recordings.
IEEE Access, 2021

Automatic Detection of Citrus Fruit and Leaves Diseases Using Deep Neural Network Model.
IEEE Access, 2021

Detection and Prediction of Diabetes Using Data Mining: A Comprehensive Review.
IEEE Access, 2021

Deep Learning-Based Smart IoT Health System for Blindness Detection Using Retina Images.
IEEE Access, 2021

A Novel Efficient Certificateless Signature Scheme for the Prevention of Content Poisoning Attack in Named Data Networking-Based Internet of Things.
IEEE Access, 2021

Recent Advances in Deep Learning Techniques for Face Recognition.
IEEE Access, 2021

FallDeF5: A Fall Detection Framework Using 5G-Based Deep Gated Recurrent Unit Networks.
IEEE Access, 2021

An Adaptive Energy Optimization Mechanism for Decentralized Smart Healthcare Applications.
Proceedings of the 93rd IEEE Vehicular Technology Conference, 2021

Decentralized Energy Efficient Model for Data Transmission in IoT-based Healthcare System.
Proceedings of the 93rd IEEE Vehicular Technology Conference, 2021

2020
Author Correction: A lightweight and cost effective edge intelligence architecture based on containerization technology.
World Wide Web, 2020

A lightweight and cost effective edge intelligence architecture based on containerization technology.
World Wide Web, 2020

Intelligent task prediction and computation offloading based on mobile-edge cloud computing.
Future Gener. Comput. Syst., 2020

Reliable Path Selection and Opportunistic Routing Protocol for Underwater Wireless Sensor Networks.
IEEE Access, 2020

An Effective Bio-Signal-Based Driver Behavior Monitoring System Using a Generalized Deep Learning Approach.
IEEE Access, 2020

Lies Kill, Facts Save: Detecting COVID-19 Misinformation in Twitter.
IEEE Access, 2020

2019
Credibility in Online Social Networks: A Survey.
IEEE Access, 2019

An Ensemble Learning Approach for Accurate Energy Load Prediction in Residential Buildings.
IEEE Access, 2019

2018
An efficient key agreement protocol for Sybil-precaution in online social networks.
Future Gener. Comput. Syst., 2018

Wireless Sensor Networks Security: State of the Art.
CoRR, 2018

Cost Efficient Edge Intelligence Framework Using Docker Containers.
Proceedings of the 2018 IEEE 16th Intl Conf on Dependable, 2018

2017
Reputation-based credibility analysis of Twitter social network users.
Concurr. Comput. Pract. Exp., 2017

Sybil Defense Techniques in Online Social Networks: A Survey.
IEEE Access, 2017

A multimedia cloud-based framework for constant monitoring on obese patients.
Proceedings of the 2017 IEEE International Conference on Multimedia & Expo Workshops, 2017

2016
Cloud-based Graphical Simulation Tool of ECG for Educational Purpose.
Proceedings of the International Conference on Internet of Things and Cloud Computing, 2016

A Framework for Optimum Selection of Online Social Network Management Systems.
Proceedings of the International Conference on Internet of Things and Cloud Computing, 2016

CredFinder: A real-time tweets credibility assessing system.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015
A Framework for Cloud-Based Healthcare Services to Monitor Noncommunicable Diseases Patient.
Int. J. Distributed Sens. Networks, 2015

A Framework of Knowledge Management as a Service over Cloud Computing Platform.
Proceedings of the IPAC '15: International Conference on Intelligent Information Processing, 2015

A Multistage Credibility Analysis Model for Microblogs.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014
StarsRace: A mobile collaborative seriuos game for obesity.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2014


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