A statistical adaptive algorithm for dust image enhancement and restoration. - Madallah Alruwaili; Lalit Gupta (EIT, 2015)

Formulating Enhancement and Restoration Strategy to Improve the Quality of Dusty Images. - Madallah Alruwaili; Lalit Gupta (J. Comput., 2017)

Human Body Segmentation Using Level Set-Based Active Contours With Application on Activity Recognition. - Madallah Alruwaili; Muhammad Hameed Siddiqi; Amjad Ali 002 (IEEE Access, 2019)

A Novel Feature Selection Method for Video-Based Human Activity Recognition Systems. - Muhammad Hameed Siddiqi; Madallah Alruwaili; Amjad Ali 002 (IEEE Access, 2019)

Human Activity Recognition Using Gaussian Mixture Hidden Conditional Random Fields. - Muhammad Hameed Siddiqi; Madallah Alruwaili; Amjad Ali 002; Saad Awadh Alanazi; Furkh Zeshan (Comput. Intell. Neurosci., 2019)

Privacy Protection and Energy Optimization for 5G-Aided Industrial Internet of Things. - Mamoona Humayun; N. Z. Jhanjhi; Madallah Alruwaili; Sagaya Sabestinal Amalathas; Venki Balasubramanian; Buvana Selvaraj (IEEE Access, 2020)

Dynamic Priority-Based Efficient Resource Allocation and Computing Framework for Vehicular Multimedia Cloud Computing. - Muhammad Hameed Siddiqi; Madallah Alruwaili; Amjad Ali 002; Syed Fawad Haider; Farman Ali 001; Muddesar Iqbal (IEEE Access, 2020)

Maximum Entropy Markov Model for Human Activity Recognition Using Depth Camera. - Ibrahim Alrashdi; Muhammad Hameed Siddiqi; Yousef Alhwaiti; Madallah Alruwaili; Mohammad Azad (IEEE Access, 2021)

A Unified Approach for Patient Activity Recognition in Healthcare Using Depth Camera. - Muhammad Hameed Siddiqi; Nabil Almashfi; Amjad Ali 002; Madallah Alruwaili; Yousef Alhwaiti; Saad Awadh Alanazi; M. M. Kamruzzaman (IEEE Access, 2021)

Diagnosis of COVID-19 Using a Deep Learning Model in Various Radiology Domains. - Yousef Alhwaiti; Muhammad Hameed Siddiqi; Madallah Alruwaili; Ibrahim Alrashdi; Saad Awadh Alanazi; Muhammad Hasan Jamal (Complex., 2021)

An Intelligent Medical Imaging Approach for Various Blood Structure Classifications. - Madallah Alruwaili (Complex., 2021)

Multi-Stage Intelligent Smart Lockdown using SIR Model to Control COVID 19. - Abdul Ghaffar; Saad Awadh Alanazi; Madallah Alruwaili; Mian Usman Sattar; Waqas Ali; Memoona Humayun; Shahan Yamin Siddiqui; Fahad Ahmad; Muhammad Adnan Khan 001 (Intell. Autom. Soft Comput., 2021)

Image Splicing-Based Forgery Detection Using Discrete Wavelet Transform and Edge Weighted Local Binary Patterns. - Muhammad Hameed Siddiqi; Khurshed Asghar; Umar Draz; Amjad Ali 002; Madallah Alruwaili; Yousef Alhwaiti; Saad Awadh Alanazi; M. M. Kamruzzaman (Secur. Commun. Networks, 2021)

Estimation of Organizational Competitiveness by a Hybrid of One-Dimensional Convolutional Neural Networks and Self-Organizing Maps Using Physiological Signals for Emotional Analysis of Employees. - Saad Awadh Alanazi; Madallah Alruwaili; Fahad Ahmad; Alaa S. Alaerjan; Nasser O. Alshammari (Sensors, 2021)

Technology-driven 5G enabled e-healthcare system during COVID-19 pandemic. - Nasser O. Alshammari; Md Nazirul Islam Sarker; M. M. Kamruzzaman; Madallah Alruwaili; Saad Awadh Alanazi; Md Lamiur Raihan; Salman Ali AlQahtani (IET Commun., 2022)

FANET: Smart city mobility off to a flying start with self-organized drone-based networks. - Muhammad Hameed Siddiqi; Umar Draz; Amjad Ali 002; Muddesar Iqbal; Madallah Alruwaili; Yousef Alhwaiti; Saad Awadh Alanazi (IET Commun., 2022)

Automated Breast Cancer Detection Models Based on Transfer Learning. - Madallah Alruwaili; Walaa Gouda (Sensors, 2022)

A Health Monitoring System Using IoT-Based Android Mobile Application. - Madallah Alruwaili; Muhammad Hameed Siddiqi; Kamran Farid; Mohammad Azad; Saad Awadh Alanazi; Asfandyar Khan; Abdullah Khan (Comput. Syst. Sci. Eng., 2023)

Performance Analysis of Intelligent Neural-Based Deep Learning System on Rank Images Classification. - Muhammad Hameed Siddiqi; Asfandyar Khan; Muhammad Bilal Khan; Abdullah Khan; Madallah Alruwaili; Saad Awadh Alanazi (Comput. Syst. Sci. Eng., 2023)

Development of a Smart Signalization for Emergency Vehicles. - Muhammad Hameed Siddiqi; Madallah Alruwaili; Ilhan Tarimer; Buse Cennet Karadag; Yousef Alhwaiti; Faheem Khan (Sensors, 2023)

Hybrid DF and SIR Forwarding Strategy in Cooperative Communications and Higher Order Modulations. - Slim Chaoui; Madallah Alruwaili; Haifa Harrouch; Omar Alruwaili (ComNet, 2024)

Mixed Criticality Reward-Based Systems Using Resource Reservation. - Amjad Ali 004; Shah Zeb; Madallah Alruwaili; Asad Masood Khattak; Bashir Hayat; Ki-Il Kim (IEEE Access, 2024)

Deep Learning-Based YOLO Models for the Detection of People With Disabilities. - Madallah Alruwaili; Muhammad Nouman Atta; Muhammad Hameed Siddiqi; Abdullah Khan; Asfandyar Khan; Yousef Alhwaiti; Saad Awadh Alanazi (IEEE Access, 2024)

Integration and analysis of diverse healthcare data sources: A novel solution. - Madallah Alruwaili; Ahmed Alsayat; Muhammad Idris; Saad Awadh Alanazi; Khursheed Aurangzeb (Comput. Hum. Behav., 2024)

Deep learning and ubiquitous systems for disabled people detection using YOLO models. - Madallah Alruwaili; Muhammad Hameed Siddiqi; Muhammad Nouman Atta; Mohammad Arif (Comput. Hum. Behav., 2024)

Advancing Disability Healthcare Solutions Through Privacy-Preserving Federated Learning With Theme Framework. - Madallah Alruwaili; Muhammad Hameed Siddiqi; Muhammad Idris; Salman Alruwaili; Abdullah Saleh Alanazi; Faheem Khan (Expert Syst. J. Knowl. Eng., 2025)

A Novel Hyper-Tuned Multilayer Perceptron With Effective Stochastic Learning Strategies for Missing Values Imputation. - Muhammad Hameed Siddiqi; Madallah Alruwaili; Yousef Alhwaiti; Saad Awadh Alanazi; Faheem Khan (Expert Syst. J. Knowl. Eng., 2025)

Enhancing the efficiency of lung cancer screening: predictive models utilizing deep learning from CT scans. - Medhat A. Tawfeek; Ibrahim Alrashdi; Madallah Alruwaili; Warda M. Shaban; Fatma M. Talaat (Neural Comput. Appl., 2025)

Improving energy efficiency and routing reliability in wireless sensor networks using modified ant colony optimization. - Medhat A. Tawfeek; Ibrahim Alrashdi; Madallah Alruwaili; Leila Jamel 001; Gamal Farouk Elhady; Haitham Elwahsh (EURASIP J. Wirel. Commun. Netw., 2025)