StarsRace: A mobile collaborative seriuos game for obesity. - Muhammad Al-Qurishi; Mohamed A. Mostafa; Mabrook S. Alrakhami; Atif Alamri (ICME Workshops, 2014)

A Multistage Credibility Analysis Model for Microblogs. - Majed A. AlRubaian; Muhammad Al-Qurishi; Mabrook Al-Rakhami; Sk. Md. Mizanur Rahman; Atif Alamri (ASONAM, 2015)

A Framework of Knowledge Management as a Service over Cloud Computing Platform. - Muhammad Al-Qurishi; Mabrook Al-Rakhami; Majed A. AlRubaian; Atif Alamri (IPAC, 2015)

A Framework for Cloud-Based Healthcare Services to Monitor Noncommunicable Diseases Patient. - Muhammad Al-Qurishi; Mabrook Al-Rakhami; Fattoh Al-Qershi; Mohammad Mehedi Hassan; Atif Alamri; Hameed Ullah Khan; Yang Xiang 001 (Int. J. Distributed Sens. Networks, 2015)

CredFinder: A real-time tweets credibility assessing system. - Majed A. AlRubaian; Muhammad Al-Qurishi; Mabrook Al-Rakhami; Mohammad Mehedi Hassan; Atif Alamri (ASONAM, 2016)

A Framework for Optimum Selection of Online Social Network Management Systems. - Mohammed Al-Hougbany; Muhammad Al-Qurishi; Mabrook Al-Rakhami; Majed A. AlRubaian; Atif Alamri (ICC 2016, 2016)

Cloud-based Graphical Simulation Tool of ECG for Educational Purpose. - Mabrook Al-Rakhami; Ahmad Alhamed (ICC 2016, 2016)

A multimedia cloud-based framework for constant monitoring on obese patients. - Majdi Rawashdeh; Muhammad Al-Qurishi; Mabrook Al-Rakhami; Maged S. Al-Quraishi (ICME Workshops, 2017)

Sybil Defense Techniques in Online Social Networks: A Survey. - Muhammad Al-Qurishi; Mabrook Al-Rakhami; Atif Alamri; Majed A. AlRubaian; Sk. Md. Mizanur Rahman; M. Shamim Hossain (IEEE Access, 2017)

Reputation-based credibility analysis of Twitter social network users. - Majed A. AlRubaian; Muhammad Al-Qurishi; Mabrook Al-Rakhami; Mohammad Mehedi Hassan; Atif Alamri (Concurr. Comput. Pract. Exp., 2017)

Cost Efficient Edge Intelligence Framework Using Docker Containers. - Mabrook Al-Rakhami; Mohammed Abdullah Alsahli; Mohammad Mehedi Hassan; Atif Alamri; Antonio Guerrieri; Giancarlo Fortino (DASC/PiCom/DataCom/CyberSciTech, 2018)

Wireless Sensor Networks Security: State of the Art. - Mabrook Al-Rakhami; Saleh Almowuena (CoRR, 2018)

An efficient key agreement protocol for Sybil-precaution in online social networks. - Muhammad Al-Qurishi; Sk. Md. Mizanur Rahman; M. Shamim Hossain; Ahmad Almogren; Majed A. AlRubaian; Atif Alamri; Mabrook Al-Rakhami; Brij B. Gupta (Future Gener. Comput. Syst., 2018)

An Ensemble Learning Approach for Accurate Energy Load Prediction in Residential Buildings. - Mabrook Al-Rakhami; Abdu Gumaei; Ahmed Alsanad; Atif Alamri; Mohammad Mehedi Hassan (IEEE Access, 2019)

Credibility in Online Social Networks: A Survey. - Majed A. AlRubaian; Muhammad Al-Qurishi; Atif Alamri; Mabrook Al-Rakhami; Mohammad Mehedi Hassan; Giancarlo Fortino (IEEE Access, 2019)

Lies Kill, Facts Save: Detecting COVID-19 Misinformation in Twitter. - Mabrook Al-Rakhami; Atif Alamri (IEEE Access, 2020)

An Effective Bio-Signal-Based Driver Behavior Monitoring System Using a Generalized Deep Learning Approach. - Atif Alamri; Abdu Gumaei; Mabrook Al-Rakhami; Mohammad Mehedi Hassan; Musaed A. Alhussein; Giancarlo Fortino (IEEE Access, 2020)

Reliable Path Selection and Opportunistic Routing Protocol for Underwater Wireless Sensor Networks. - Muhammad Ismail 004; Mazhar Islam; Ibrar Ahmad; Farrukh Aslam Khan; Abdul Baseer Qazi; Zawar H. Khan; Zahid Wadud; Mabrook Al-Rakhami (IEEE Access, 2020)

Intelligent task prediction and computation offloading based on mobile-edge cloud computing. - Yiming Miao; Gaoxiang Wu; Miao Li; Ahmed Ghoneim; Mabrook Al-Rakhami; M. Shamim Hossain (Future Gener. Comput. Syst., 2020)

A lightweight and cost effective edge intelligence architecture based on containerization technology. - Mabrook Al-Rakhami; Abdu Gumaei; Mohammed Abdullah Alsahli; Mohammad Mehedi Hassan; Atif Alamri; Antonio Guerrieri; Giancarlo Fortino (World Wide Web, 2020)

Author Correction: A lightweight and cost effective edge intelligence architecture based on containerization technology. - Mabrook Al-Rakhami; Abdu Gumaei; Mohammed Abdullah Alsahli; Mohammad Mehedi Hassan; Atif Alamri; Antonio Guerrieri; Giancarlo Fortino (World Wide Web, 2020)

Decentralized Energy Efficient Model for Data Transmission in IoT-based Healthcare System. - Ali Hassan Sodhro; Mabrook S. Al-Rakhami; Lei Wang 029; Hina Magsi; Noman Zahid; Sandeep Pirbhulal; Kashif Nisar; Awais Ahmad 004 (VTC Spring, 2021)

An Adaptive Energy Optimization Mechanism for Decentralized Smart Healthcare Applications. - Noman Zahid; Ali Hassan Sodhro; Mabrook S. Al-Rakhami; Lei Wang 029; Abdu Gumaei; Sandeep Pirbhulal (VTC Spring, 2021)

FallDeF5: A Fall Detection Framework Using 5G-Based Deep Gated Recurrent Unit Networks. - Mabrook S. Al-Rakhami; Abdu Gumaei; Meteb Altaf; Mohammad Mehedi Hassan; Bader Fahad Alkhamees; Khan Muhammad 001; Giancarlo Fortino (IEEE Access, 2021)

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

A Novel Efficient Certificateless Signature Scheme for the Prevention of Content Poisoning Attack in Named Data Networking-Based Internet of Things. - Saddam Hussain; Syed Sajid Ullah; Abdu Gumaei; Mabrook Al-Rakhami; Ijaz Ahmad; Syed Muhammad Arif (IEEE Access, 2021)

Deep Learning-Based Smart IoT Health System for Blindness Detection Using Retina Images. - Amit Kumar Jaiswal; Prayag Tiwari; Sachin Kumar 001; Mabrook S. Al-Rakhami; Mubarak Alrashoud; Ahmed Ghoneim (IEEE Access, 2021)

Detection and Prediction of Diabetes Using Data Mining: A Comprehensive Review. - Farrukh Aslam Khan; Khan Zeb; Mabrook Al-Rakhami; Abdelouahid Derhab; Syed Ahmad Chan Bukhari (IEEE Access, 2021)

Automatic Detection of Citrus Fruit and Leaves Diseases Using Deep Neural Network Model. - Asad Masood Khattak; Muhammad Usama Asghar; Ulfat Batool; Muhammad Zubair Asghar; Hayat Ullah; Mabrook Al-Rakhami; Abdu Gumaei (IEEE Access, 2021)

CardioXNet: A Novel Lightweight Deep Learning Framework for Cardiovascular Disease Classification Using Heart Sound Recordings. - Samiul Based Shuvo; Shams Nafisa Ali; Soham Irtiza Swapnil; Mabrook S. Al-Rakhami; Abdu Gumaei (IEEE Access, 2021)

Cyber Threat Predictive Analytics for Improving Cyber Supply Chain Security. - Abel Yeboah-Ofori; Shareeful Islam; Sin Wee Lee; Zia Ush-Shamszaman; Khan Muhammad 001; Meteb Altaf; Mabrook S. Al-Rakhami (IEEE Access, 2021)

A deep learning-based edge-fog-cloud framework for driving behavior management. - Mabrook S. Al-Rakhami; Abdu Gumaei; Mohammad Mehedi Hassan; Atif Alamri; Musaed A. Alhussein; Md. Abdur Razzaque; Giancarlo Fortino (Comput. Electr. Eng., 2021)

Detection and Classification of Psychopathic Personality Trait from Social Media Text Using Deep Learning Model. - Junaid Asghar; Saima Akbar; Muhammad Zubair Asghar; Bashir Ahmad 001; Mabrook S. Al-Rakhami; Abdu Gumaei (Comput. Math. Methods Medicine, 2021)

Evaluation of the Economic Relationships on the Basis of Statistical Decision-Making in Complex Neutrosophic Environment. - Abdul Nasir; Naeem Jan; Abdu Gumaei; Sami Ullah Khan; Mabrook Al-Rakhami (Complex., 2021)

Applying Deep Learning Methods on Time-Series Data for Forecasting COVID-19 in Egypt, Kuwait, and Saudi Arabia. - Nahla F. Omran; Sara F. Abd-el Ghany; Hager Saleh; Abdelmgeid A. Ali; Abdu Gumaei; Mabrook Al-Rakhami (Complex., 2021)

Decentralized Blockchain-based model for Edge Computing. - Mabrook S. Al-Rakhami; Abdu Gumaei; Sk. Md. Mizanur Rahman; Atif Alamri (CoRR, 2021)

Feature selection with ensemble learning for prostate cancer diagnosis from microarray gene expression. - Abdu Gumaei; Rachid Sammouda; Mabrook Al-Rakhami; Hussain Alsalman; Ali El-Zaart (Health Informatics J., 2021)

An Explainable System for Diagnosis and Prognosis of COVID-19. - Jiayi Lu; Renchao Jin; Enmin Song; Mubarak Alrashoud; Khaled N. Al-Mutib; Mabrook S. Al-Rakhami (IEEE Internet Things J., 2021)

Machine learning-based mathematical modelling for prediction of social media consumer behavior using big data analytics. - Kiran Chaudhary; Mansaf Alam; Mabrook S. Al-Rakhami; Abdu Gumaei (J. Big Data, 2021)

Deep Learning and Blockchain with Edge Computing for 5G-Enabled Drone Identification and Flight Mode Detection. - Abdu Gumaei; Mabrook Al-Rakhami; Mohammad Mehedi Hassan; Pasquale Pace; Gianluca Aloi; Kai Lin; Giancarlo Fortino (IEEE Netw., 2021)

Auxiliary Diagnosis of COVID-19 Based on 5G-Enabled Federated Learning. - Rui Wang 077; Jinfeng Xu 002; Yujun Ma; Muhammad Talha 001; Mabrook S. Al-Rakhami; Ahmed Ghoneim (IEEE Netw., 2021)

A Blockchain-Based Trust Model for the Internet of Things Supply Chain Management. - Mabrook S. Al-Rakhami; Majed Al-Mashari (Sensors, 2021)

On the Security and Privacy Challenges of Virtual Assistants. - Tom Bolton; Tooska Dargahi; Sana Belguith; Mabrook S. Al-Rakhami; Ali Hassan Sodhro (Sensors, 2021)

Prediction of Cervical Cancer from Behavior Risk Using Machine Learning Techniques. - Laboni Akter; Ferdib-Al-Islam; Md. Milon Islam; Mabrook S. Al-Rakhami; Md. Rezwanul Haque (SN Comput. Sci., 2021)

Machine Learning Approaches for Tackling Novel Coronavirus (COVID-19) Pandemic. - Mohammad Marufur Rahman; Md. Milon Islam; Md. Motaleb Hossen Manik; Md. Rabiul Islam 007; Mabrook S. Al-Rakhami (SN Comput. Sci., 2021)

An Investigative Study on the Effects of Pedagogical Agents on Intrinsic, Extraneous and Germane Cognitive Load: Experimental Findings With Dyscalculia and Non-Dyscalculia Learners. - Neelu Jyothi Ahuja; Monika Thapliyal; Akanksha Bisht; Thompson Stephan; Ramani Kannan; Mabrook S. Al-Rakhami; Mufti Mahmud (IEEE Access, 2022)

ProChain: Provenance-Aware Traceability Framework for IoT-Based Supply Chain Systems. - Mabrook S. Al-Rakhami; Majed Al-Mashari (IEEE Access, 2022)

Pattern Descriptors Orientation and MAP Firefly Algorithm Based Brain Pathology Classification Using Hybridized Machine Learning Algorithm. - Bharathi Deepa; M. Murugappan; M. G. Sumithra 001; Mufti Mahmud; Mabrook S. Al-Rakhami (IEEE Access, 2022)

Interoperability approaches of blockchain technology for supply chain systems. - Mabrook Al-Rakhami; Majed Al-Mashari (Bus. Process. Manag. J., 2022)

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

An Approach for Demand Forecasting in Steel Industries Using Ensemble Learning. - S. M. Taslim Uddin Raju; Amlan Sarker; Apurba Das; Md. Milon Islam; Mabrook S. Al-Rakhami; Atif Alamri; Tasniah Mohiuddin; Fahad R. Albogamy (Complex., 2022)

An Effective Approach for Rumor Detection of Arabic Tweets Using eXtreme Gradient Boosting Method. - Abdu Gumaei; Mabrook S. Al-Rakhami; Mohammad Mehedi Hassan; Victor Hugo C. de Albuquerque; David Camacho (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2022)

A Distributed Ensemble of Diverse Deep Learning Models for Predicting COVID-19 Cases. - Mohammad Mehedi Hassan; Mabrook S. Al-Rakhami; Ahmed Zohier Elhendi; Salman A. AlQahtani (EUROCON, 2023)

Analyzing the Public Opinion as a Guide for Renewable-Energy Status in Malaysia: A Case Study. - Atika Qazi; Chiranjib Bhowmik; Fayaz Hussain; Shuiqing Yang; Usman Naseem; Adebayo Abayomi-Alli; Abdu Gumaei; Mabrook Al-Rakhami (IEEE Trans. Engineering Management, 2023)

Secure Data Aggregation Based on End-to-End Homomorphic Encryption in IoT-Based Wireless Sensor Networks. - Mukesh Kumar; Monika Sethi; Shalli Rani; Dipak Kumar Sah; Salman A. AlQahtani; Mabrook S. Al-Rakhami (Sensors, 2023)

Federated Learning Approach for Breast Cancer Detection Based on DCNN. - Hussain AlSalman; Mabrook S. Al-Rakhami; Taha Alfakih; Mohammad Mehedi Hassan (IEEE Access, 2024)

Corrections to "Federated Learning Approach for Breast Cancer Detection Based on DCNN". - Hussain Alsalman; Mabrook S. Al-Rakhami; Taha Alfakih; Mohammad Mehedi Hassan (IEEE Access, 2024)

Effective Skin Cancer Diagnosis Through Federated Learning and Deep Convolutional Neural Networks. - Mabrook S. Al-Rakhami; Salman Ali AlQahtani; Abdulaziz Alawwad (Appl. Artif. Intell., 2024)