Mabrook S. Al-Rakhami

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 29

Top Topics

Cervical Cancer

Top Venues

SN Comput. Sci.

Publications

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)
Hussain AlSalman, Mabrook S. Al-Rakhami, Taha Alfakih, Mohammad Mehedi Hassan
Federated Learning Approach for Breast Cancer Detection Based on DCNN. IEEE Access 12 (2024)
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)
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) (2023)
Mabrook S. Al-Rakhami, Majed Al-Mashari
ProChain: Provenance-Aware Traceability Framework for IoT-Based Supply Chain Systems. IEEE Access 10 (2022)
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 (2022)
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 (2022)
B. 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 (2022)
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 (2022)
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) (2022)
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) (2021)
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) (2021)
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 (2021)
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) (2021)
Mabrook S. Al-Rakhami, Majed Al-Mashari
A Blockchain-Based Trust Model for the Internet of Things Supply Chain Management. Sensors 21 (5) (2021)
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)
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) (2021)
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 (2021)
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 (2021)
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) (2021)
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 (2021)
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 (2021)
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 (2021)
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)
Mabrook S. Al-Rakhami, Abdu Gumaei, Sk. Md. Mizanur Rahman, Atif Alamri
Decentralized Blockchain-based model for Edge Computing. CoRR (2021)
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 (2021)
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) (2021)
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 (2021)
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) (2021)