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Mabrook Al-Rakhami
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- affiliation: King Saud University, College of Computer and Information Sciences, Riyadh, Saudi Arabia
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2020 – today
- 2024
- [j45]Mabrook S. Al-Rakhami, Salman Ali AlQahtani, Abdulaziz Alawwad:
Effective Skin Cancer Diagnosis Through Federated Learning and Deep Convolutional Neural Networks. Appl. Artif. Intell. 38(1) (2024) - [j44]Hussain AlSalman, Mabrook S. Al-Rakhami, Taha Alfakih, Mohammad Mehedi Hassan:
Federated Learning Approach for Breast Cancer Detection Based on DCNN. IEEE Access 12: 40114-40138 (2024) - [j43]Hussain Alsalman, Mabrook S. Al-Rakhami, Taha Alfakih, Mohammad Mehedi Hassan:
Corrections to "Federated Learning Approach for Breast Cancer Detection Based on DCNN". IEEE Access 12: 162939 (2024) - 2023
- [j42]Mukesh Kumar, Monika Sethi, Shalli Rani, Dipak Kumar Sah, Salman A. AlQahtani, Mabrook S. Al-Rakhami:
Secure Data Aggregation Based on End-to-End Homomorphic Encryption in IoT-Based Wireless Sensor Networks. Sensors 23(13): 6181 (2023) - [j41]Atika Qazi, Chiranjib Bhowmik, Fayaz Hussain, Shuiqing Yang, Usman Naseem, Adebayo Abayomi-Alli, Abdu Gumaei, Mabrook Al-Rakhami:
Analyzing the Public Opinion as a Guide for Renewable-Energy Status in Malaysia: A Case Study. IEEE Trans. Engineering Management 70(2): 371-385 (2023) - [c11]Mohammad Mehedi Hassan, Mabrook S. Al-Rakhami, Ahmed Zohier Elhendi, Salman A. AlQahtani:
A Distributed Ensemble of Diverse Deep Learning Models for Predicting COVID-19 Cases. EUROCON 2023: 585-589 - 2022
- [j40]Mabrook S. Al-Rakhami, Majed Al-Mashari:
ProChain: Provenance-Aware Traceability Framework for IoT-Based Supply Chain Systems. IEEE Access 10: 3631-3642 (2022) - [j39]Bharathi Deepa, M. Murugappan, M. G. Sumithra, Mufti Mahmud, Mabrook S. Al-Rakhami:
Pattern Descriptors Orientation and MAP Firefly Algorithm Based Brain Pathology Classification Using Hybridized Machine Learning Algorithm. IEEE Access 10: 3848-3863 (2022) - [j38]Neelu Jyothi Ahuja, Monika Thapliyal, Akanksha Bisht, Thompson Stephan, Ramani Kannan, Mabrook S. Al-Rakhami, Mufti Mahmud:
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 10: 3904-3922 (2022) - [j37]Mabrook Al-Rakhami, Majed Al-Mashari:
Interoperability approaches of blockchain technology for supply chain systems. Bus. Process. Manag. J. 28(5/6): 1251-1276 (2022) - [j36]Muhammad Zubair Asghar, Adidah Lajis, Muhammad Mansoor Alam, Mohd. Khairil Rahmat, Haidawati Md Nasir, Hussain Ahmad, Mabrook S. Al-Rakhami, Atif Alamri, Fahad R. Albogamy:
A Deep Neural Network Model for the Detection and Classification of Emotions from Textual Content. Complex. 2022: 8221121:1-8221121:12 (2022) - [j35]S. M. Taslim Uddin Raju, Amlan Sarker, Apurba Das, Md. Milon Islam, Mabrook S. Al-Rakhami, Atif Alamri, Tasniah Mohiuddin, Fahad R. Albogamy:
An Approach for Demand Forecasting in Steel Industries Using Ensemble Learning. Complex. 2022: 9928836:1-9928836:19 (2022) - [j34]Abdu Gumaei, Mabrook S. Al-Rakhami, Mohammad Mehedi Hassan, Victor Hugo C. de Albuquerque, David Camacho:
An Effective Approach for Rumor Detection of Arabic Tweets Using eXtreme Gradient Boosting Method. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(1): 7:1-7:16 (2022) - 2021
- [j33]Samiul Based Shuvo, Shams Nafisa Ali, Soham Irtiza Swapnil, Mabrook S. Al-Rakhami, Abdu Gumaei:
CardioXNet: A Novel Lightweight Deep Learning Framework for Cardiovascular Disease Classification Using Heart Sound Recordings. IEEE Access 9: 36955-36967 (2021) - [j32]Saddam Hussain, Syed Sajid Ullah, Abdu Gumaei, Mabrook Al-Rakhami, Ijaz Ahmad, Syed Muhammad Arif:
A Novel Efficient Certificateless Signature Scheme for the Prevention of Content Poisoning Attack in Named Data Networking-Based Internet of Things. IEEE Access 9: 40198-40215 (2021) - [j31]Farrukh Aslam Khan, Khan Zeb, Mabrook Al-Rakhami, Abdelouahid Derhab, Syed Ahmad Chan Bukhari:
Detection and Prediction of Diabetes Using Data Mining: A Comprehensive Review. IEEE Access 9: 43711-43735 (2021) - [j30]Amit Kumar Jaiswal, Prayag Tiwari, Sachin Kumar, Mabrook S. Al-Rakhami, Mubarak Alrashoud, Ahmed Ghoneim:
Deep Learning-Based Smart IoT Health System for Blindness Detection Using Retina Images. IEEE Access 9: 70606-70615 (2021) - [j29]Mabrook S. Al-Rakhami, Abdu Gumaei, Meteb Altaf, Mohammad Mehedi Hassan, Bader Fahad Alkhamees, Khan Muhammad, Giancarlo Fortino:
FallDeF5: A Fall Detection Framework Using 5G-Based Deep Gated Recurrent Unit Networks. IEEE Access 9: 94299-94308 (2021) - [j28]Abel Yeboah-Ofori, Shareeful Islam, Sin Wee Lee, Zia Ush-Shamszaman, Khan Muhammad, Meteb Altaf, Mabrook S. Al-Rakhami:
Cyber Threat Predictive Analytics for Improving Cyber Supply Chain Security. IEEE Access 9: 94318-94337 (2021) - [j27]Md. Tahmid Hasan Fuad, Awal Ahmed Fime, Delowar Sikder, Md. Akil Raihan Iftee, Jakaria Rabbi, Mabrook S. Al-Rakhami, Abdu Gumaei, Ovishake Sen, Mohtasim Fuad, Md. Nazrul Islam:
Recent Advances in Deep Learning Techniques for Face Recognition. IEEE Access 9: 99112-99142 (2021) - [j26]Asad Masood Khattak, Muhammad Usama Asghar, Ulfat Batool, Muhammad Zubair Asghar, Hayat Ullah, Mabrook Al-Rakhami, Abdu Gumaei:
Automatic Detection of Citrus Fruit and Leaves Diseases Using Deep Neural Network Model. IEEE Access 9: 112942-112954 (2021) - [j25]Mabrook S. Al-Rakhami, Abdu Gumaei, Mohammad Mehedi Hassan, Atif Alamri, Musaed A. Alhussein, Md. Abdur Razzaque, Giancarlo Fortino:
A deep learning-based edge-fog-cloud framework for driving behavior management. Comput. Electr. Eng. 96(Part): 107573 (2021) - [j24]Junaid Asghar, Saima Akbar, Muhammad Zubair Asghar, Bashir Ahmad, Mabrook S. Al-Rakhami, Abdu Gumaei:
Detection and Classification of Psychopathic Personality Trait from Social Media Text Using Deep Learning Model. Comput. Math. Methods Medicine 2021: 5512241:1-5512241:10 (2021) - [j23]Abdul Nasir, Naeem Jan, Abdu Gumaei, Sami Ullah Khan, Mabrook Al-Rakhami:
Evaluation of the Economic Relationships on the Basis of Statistical Decision-Making in Complex Neutrosophic Environment. Complex. 2021: 5595474:1-5595474:18 (2021) - [j22]Nahla F. Omran, Sara F. Abd-el Ghany, Hager Saleh, Abdelmgeid A. Ali, Abdu Gumaei, Mabrook Al-Rakhami:
Applying Deep Learning Methods on Time-Series Data for Forecasting COVID-19 in Egypt, Kuwait, and Saudi Arabia. Complex. 2021: 6686745:1-6686745:13 (2021) - [j21]Abdu Gumaei, Rachid Sammouda, Mabrook Al-Rakhami, Hussain Alsalman, Ali El-Zaart:
Feature selection with ensemble learning for prostate cancer diagnosis from microarray gene expression. Health Informatics J. 27(1): 146045822198940 (2021) - [j20]Jiayi Lu, Renchao Jin, Enmin Song, Mubarak Alrashoud, Khaled N. Al-Mutib, Mabrook S. Al-Rakhami:
An Explainable System for Diagnosis and Prognosis of COVID-19. IEEE Internet Things J. 8(21): 15839-15846 (2021) - [j19]Kiran Chaudhary, Mansaf Alam, Mabrook S. Al-Rakhami, Abdu Gumaei:
Machine learning-based mathematical modelling for prediction of social media consumer behavior using big data analytics. J. Big Data 8(1): 73 (2021) - [j18]Abdu Gumaei, Mabrook Al-Rakhami, Mohammad Mehedi Hassan, Pasquale Pace, Gianluca Aloi, Kai Lin, Giancarlo Fortino:
Deep Learning and Blockchain with Edge Computing for 5G-Enabled Drone Identification and Flight Mode Detection. IEEE Netw. 35(1): 94-100 (2021) - [j17]Rui Wang, Jinfeng Xu, Yujun Ma, Muhammad Talha, Mabrook S. Al-Rakhami, Ahmed Ghoneim:
Auxiliary Diagnosis of COVID-19 Based on 5G-Enabled Federated Learning. IEEE Netw. 35(3): 14-20 (2021) - [j16]Mabrook S. Al-Rakhami, Majed Al-Mashari:
A Blockchain-Based Trust Model for the Internet of Things Supply Chain Management. Sensors 21(5): 1759 (2021) - [j15]Tom Bolton, Tooska Dargahi, Sana Belguith, Mabrook S. Al-Rakhami, Ali Hassan Sodhro:
On the Security and Privacy Challenges of Virtual Assistants. Sensors 21(7): 2312 (2021) - [j14]Laboni Akter, Ferdib-Al-Islam, Md. Milon Islam, Mabrook S. Al-Rakhami, Md. Rezwanul Haque:
Prediction of Cervical Cancer from Behavior Risk Using Machine Learning Techniques. SN Comput. Sci. 2(3): 177 (2021) - [j13]Mohammad Marufur Rahman, Md. Milon Islam, Md. Motaleb Hossen Manik, Md. Rabiul Islam, Mabrook S. Al-Rakhami:
Machine Learning Approaches for Tackling Novel Coronavirus (COVID-19) Pandemic. SN Comput. Sci. 2(5): 384 (2021) - [c10]Ali Hassan Sodhro, Mabrook S. Al-Rakhami, Lei Wang, Hina Magsi, Noman Zahid, Sandeep Pirbhulal, Kashif Nisar, Awais Ahmad:
Decentralized Energy Efficient Model for Data Transmission in IoT-based Healthcare System. VTC Spring 2021: 1-5 - [c9]Noman Zahid, Ali Hassan Sodhro, Mabrook S. Al-Rakhami, Lei Wang, Abdu Gumaei, Sandeep Pirbhulal:
An Adaptive Energy Optimization Mechanism for Decentralized Smart Healthcare Applications. VTC Spring 2021: 1-5 - [i4]Md. Tahmid Hasan Fuad, Awal Ahmed Fime, Delowar Sikder, Md. Akil Raihan Iftee, Jakaria Rabbi, Mabrook S. Al-Rakhami, Abdu Gumaei, Ovishake Sen, Mohtasim Fuad, Md. Nazrul Islam:
Recent Advances in Deep Learning Techniques for Face Recognition. CoRR abs/2103.10492 (2021) - [i3]Mabrook S. Al-Rakhami, Abdu Gumaei, Meteb Altaf, Mohammad Mehedi Hassan, Bader Fahad Alkhamees, Khan Muhammad, Giancarlo Fortino:
FallDeF5: A Fall Detection Framework Using 5G-based Deep Gated Recurrent Unit Networks. CoRR abs/2106.15049 (2021) - [i2]Mabrook S. Al-Rakhami, Abdu Gumaei, Sk. Md. Mizanur Rahman, Atif Alamri:
Decentralized Blockchain-based model for Edge Computing. CoRR abs/2106.15050 (2021) - 2020
- [j12]Muhammad Ismail, Mazhar Islam, Ibrar Ahmad, Farrukh Aslam Khan, Abdul Baseer Qazi, Zawar H. Khan, Zahid Wadud, Mabrook Al-Rakhami:
Reliable Path Selection and Opportunistic Routing Protocol for Underwater Wireless Sensor Networks. IEEE Access 8: 100346-100364 (2020) - [j11]Atif Alamri, Abdu Gumaei, Mabrook Al-Rakhami, Mohammad Mehedi Hassan, Musaed A. Alhussein, Giancarlo Fortino:
An Effective Bio-Signal-Based Driver Behavior Monitoring System Using a Generalized Deep Learning Approach. IEEE Access 8: 135037-135049 (2020) - [j10]Mabrook Al-Rakhami, Atif Alamri:
Lies Kill, Facts Save: Detecting COVID-19 Misinformation in Twitter. IEEE Access 8: 155961-155970 (2020) - [j9]Yiming Miao, Gaoxiang Wu, Miao Li, Ahmed Ghoneim, Mabrook Al-Rakhami, M. Shamim Hossain:
Intelligent task prediction and computation offloading based on mobile-edge cloud computing. Future Gener. Comput. Syst. 102: 925-931 (2020) - [j8]Mabrook Al-Rakhami, Abdu Gumaei, Mohammed Abdullah Alsahli, Mohammad Mehedi Hassan, Atif Alamri, Antonio Guerrieri, Giancarlo Fortino:
A lightweight and cost effective edge intelligence architecture based on containerization technology. World Wide Web 23(2): 1341-1360 (2020) - [j7]Mabrook Al-Rakhami, Abdu Gumaei, Mohammed Abdullah Alsahli, Mohammad Mehedi Hassan, Atif Alamri, Antonio Guerrieri, Giancarlo Fortino:
Author Correction: A lightweight and cost effective edge intelligence architecture based on containerization technology. World Wide Web 23(3): 1741-1742 (2020)
2010 – 2019
- 2019
- [j6]Majed A. AlRubaian, Muhammad Al-Qurishi, Atif Alamri, Mabrook Al-Rakhami, Mohammad Mehedi Hassan, Giancarlo Fortino:
Credibility in Online Social Networks: A Survey. IEEE Access 7: 2828-2855 (2019) - [j5]Mabrook Al-Rakhami, Abdu Gumaei, Ahmed Alsanad, Atif Alamri, Mohammad Mehedi Hassan:
An Ensemble Learning Approach for Accurate Energy Load Prediction in Residential Buildings. IEEE Access 7: 48328-48338 (2019) - 2018
- [j4]Muhammad Al-Qurishi, Sk. Md. Mizanur Rahman, M. Shamim Hossain, Ahmad Almogren, Majed A. AlRubaian, Atif Alamri, Mabrook Al-Rakhami, Brij B. Gupta:
An efficient key agreement protocol for Sybil-precaution in online social networks. Future Gener. Comput. Syst. 84: 139-148 (2018) - [c8]Mabrook Al-Rakhami, Mohammed Abdullah Alsahli, Mohammad Mehedi Hassan, Atif Alamri, Antonio Guerrieri, Giancarlo Fortino:
Cost Efficient Edge Intelligence Framework Using Docker Containers. DASC/PiCom/DataCom/CyberSciTech 2018: 800-807 - [i1]Mabrook Al-Rakhami, Saleh Almowuena:
Wireless Sensor Networks Security: State of the Art. CoRR abs/1808.05272 (2018) - 2017
- [j3]Muhammad Al-Qurishi, Mabrook Al-Rakhami, Atif Alamri, Majed A. AlRubaian, Sk. Md. Mizanur Rahman, M. Shamim Hossain:
Sybil Defense Techniques in Online Social Networks: A Survey. IEEE Access 5: 1200-1219 (2017) - [j2]Majed A. AlRubaian, Muhammad Al-Qurishi, Mabrook Al-Rakhami, Mohammad Mehedi Hassan, Atif Alamri:
Reputation-based credibility analysis of Twitter social network users. Concurr. Comput. Pract. Exp. 29(7) (2017) - [c7]Majdi Rawashdeh, Muhammad Al-Qurishi, Mabrook Al-Rakhami, Maged S. Al-Quraishi:
A multimedia cloud-based framework for constant monitoring on obese patients. ICME Workshops 2017: 139-144 - 2016
- [c6]Majed A. AlRubaian, Muhammad Al-Qurishi, Mabrook Al-Rakhami, Mohammad Mehedi Hassan, Atif Alamri:
CredFinder: A real-time tweets credibility assessing system. ASONAM 2016: 1406-1409 - [c5]Mohammed Al-Hougbany, Muhammad Al-Qurishi, Mabrook Al-Rakhami, Majed A. AlRubaian, Atif Alamri:
A Framework for Optimum Selection of Online Social Network Management Systems. ICC 2016 2016: 24:1-24:6 - [c4]Mabrook Al-Rakhami, Ahmad Alhamed:
Cloud-based Graphical Simulation Tool of ECG for Educational Purpose. ICC 2016 2016: 25:1-25:6 - 2015
- [j1]Muhammad Al-Qurishi, Mabrook Al-Rakhami, Fattoh Al-Qershi, Mohammad Mehedi Hassan, Atif Alamri, Hameed Ullah Khan, Yang Xiang:
A Framework for Cloud-Based Healthcare Services to Monitor Noncommunicable Diseases Patient. Int. J. Distributed Sens. Networks 11: 985629:1-985629:11 (2015) - [c3]Majed A. AlRubaian, Muhammad Al-Qurishi, Mabrook Al-Rakhami, Sk. Md. Mizanur Rahman, Atif Alamri:
A Multistage Credibility Analysis Model for Microblogs. ASONAM 2015: 1434-1440 - [c2]Muhammad Al-Qurishi, Mabrook Al-Rakhami, Majed A. AlRubaian, Atif Alamri:
A Framework of Knowledge Management as a Service over Cloud Computing Platform. IPAC 2015: 10:1-10:4 - 2014
- [c1]Muhammad Al-Qurishi, Mohamed A. Mostafa, Mabrook S. Alrakhami, Atif Alamri:
StarsRace: A mobile collaborative seriuos game for obesity. ICME Workshops 2014: 1-5
Coauthor Index
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last updated on 2024-12-02 22:26 CET by the dblp team
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