DCentroid: Location Privacy-Preserving Scheme in Spatial Crowdsourcing. - Raed Alharthi; Esam Aloufi; Ali Alqazzaz; Ibrahim Alrashdi; Mohamed A. Zohdy (CCWC, 2019)

AD-IoT: Anomaly Detection of IoT Cyberattacks in Smart City Using Machine Learning. - Ibrahim Alrashdi; Ali Alqazzaz; Esam Aloufi; Raed Alharthi; Mohamed A. Zohdy; Ming Hua 003 (CCWC, 2019)

A Practical Evaluation of a Secure and Energy-Efficient Smart Parking System Using the MQTT Protocol. - Ali Alqazzaz; Raed Alharthi; Ibrahim Alrashdi; Esam Aloufi; Mohamed A. Zohdy; Ming Hua 003 (ICISDM, 2019)

FBAD: Fog-based Attack Detection for IoT Healthcare in Smart Cities. - Ibrahim Alrashdi; Ali Alqazzaz; Raed Alharthi; Esam Aloufi; Mohamed A. Zohdy; Ming Hua 003 (UEMCON, 2019)

TASC: Efficient Task Assignment in Spatial Crowdsourcing with Workers Privacy Protection. - Esam Aloufi; Raed Alharthi; Ibrahim Alrashdi; Ali Alqazzaz; Dareen Alsulami; Mohamed Zohdy (EIT, 2020)

Protecting Location Privacy for Crowd Workers in Spatial Crowdsourcing Using a Novel Dummy-Based Mechanism. - Raed Alharthi; Esam Aloufi; Ibrahim Alrashdi; Ali Alqazzaz; Mohamed A. Zohdy; Julian L. Rrushi (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)

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)

Recent Advances and Challenges of Edge AI and IoT Assisted Covid-19 Alike Detection Systems. - M. M. Kamruzzaman; Md Altab Hossin; Ibrahim Alrashdi (GLOBECOM (Workshops), 2022)

Edge Detection-Based Feature Extraction for the Systems of Activity Recognition. - Muhammad Hameed Siddiqi; Ibrahim Alrashdi (Comput. Intell. Neurosci., 2022)

AI-Assisted Risk Management Systems in Healthcare Industries of Smart Cities. - Ibrahim Alrashdi; Md Altab Hossin; M. M. Kamruzzaman (GLOBECOM (Workshops), 2023)

Key Technologies, Applications, Trends of Visual Analysis and Prediction in Healthcare System. - Md Altab Hossin; M. M. Kamruzzaman; Ibrahim Alrashdi; Abdulaziz Marzouq Alsharari; Ayman Almjnoony (GLOBECOM (Workshops), 2023)

A Deep Learning Model to Analyse Social-Cyber Psychological Problems in Youth. - Ali Alqazzaz; Mohammad Tabrez Quasim; Mohammed Mujib Alshahrani; Ibrahim Alrashdi; Mohammad Ayoub Khan (Comput. Syst. Sci. Eng., 2023)

Enhanced Community Detection via Convolutional Neural Network: A Modified Approach Based on MRFasGCN Algorithm. - Puneet Kumar; Dalwinder Singh; Mamoona Humayun; Ali Alqazzaz; Arun Malik; Ibrahim Alrashdi; Isha Batra; Ghadah Alwakid (IEEE Access, 2024)

FIDWATCH: Federated incremental distillation for continuous monitoring of IoT security threats. - Ibrahim Alrashdi; Karam M. Sallam; Majed Abdullah Alrowaily; Omar Alruwaili; Bilal Arain (Ad Hoc Networks, 2024)

A computational deep learning approach for establishing long-term declarative episodic memory through one-shot learning. - Yousef Alhwaiti; Ibrahim Alrashdi; Irshad Ahmad; Abdullah Khan (Comput. Hum. Behav., 2024)

Evolution-based energy-efficient data collection system for UAV-supported IoT: Differential evolution with population size optimization mechanism. - Mohamed Abdel-Basset; Reda Mohamed; Ibrahim Alrashdi; Karam M. Sallam; Ibrahim A. Hameed (Expert Syst. Appl., 2024)

Enhanced brain tumor diagnosis using combined deep learning models and weight selection technique. - Karim Gasmi; Najib Ben Aoun; Khalaf Alsalem; Ibtihel Ben Ltaifa; Ibrahim Alrashdi; Lassaad Ben Ammar; Manel Mrabet; Abdulaziz Shehab (Frontiers Neuroinformatics, 2024)

A contrastive learning approach for enhanced robustness for strengthening federated intelligence in internet of visual things. - Ibrahim Alrashdi; Karam M. Sallam; Ali Alqazzaz; Bilal Arain; Ibrahim A. Hameed (Internet Things, 2024)

Next generation of computer vision for plant disease monitoring in precision agriculture: A contemporary survey, taxonomy, experiments, and future direction. - Weiping Ding 001; Mohamed Abdel-Basset; Ibrahim Alrashdi; Hossam Hawash (Inf. Sci., 2024)

DeepSecDrive: An explainable deep learning framework for real-time detection of cyberattack in in-vehicle networks. - Weiping Ding 001; Ibrahim Alrashdi; Hossam Hawash; Mohamed Abdel-Basset (Inf. Sci., 2024)

Fog-based deep learning framework for real-time pandemic screening in smart cities from multi-site tomographies. - Ibrahim Alrashdi (BMC Medical Imaging, 2024)

CNN-IKOA: convolutional neural network with improved Kepler optimization algorithm for image segmentation: experimental validation and numerical exploration. - Mohamed Abdel-Basset; Reda Mohamed; Ibrahim Alrashdi; Karam M. Sallam; Ibrahim A. Hameed (J. Big Data, 2024)

Enhancing software quality assurance in ubiquitous learning environments through mutation testing and diverse test oracles. - Muhammad Rashid Naeem; Muhammad Asghar Khan; Mansoor Khan; Omar Alruwaili; Ibrahim Alrashdi; Saad Awadh Alanazi (Comput. Hum. Behav., 2025)

BSCP-SG: Blockchain-enabled secure communication protocols for IoT-driven smart grid systems. - Ibrahim Alrashdi; Muhammad Tanveer 003; Saud Alhajaj Aldossari; Menwa Alshammeri; Ammar Armghan (Internet Things, 2025)

An enhanced LSHADE-based algorithm for global and constrained optimization in applied mechanics and power flow problems. - Karam M. Sallam; Ibrahim Alrashdi; Reda Mohamed; Mohamed Abdel-Basset (Swarm Evol. Comput., 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)

Energy-Efficient Task Allocation for IIoT Deep Learning Applications: An Embedded Edge Clusters Solution. - Dinesh Kumar Sah; Sultan Almujaiwel; Korhan Cengiz; Ibrahim Alrashdi (IEEE Internet Things J., 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)

An efficient binary spider wasp optimizer for multi-dimensional knapsack instances: experimental validation and analysis. - Mohamed Abdel-Basset; Reda Mohamed; Karam M. Sallam; Ibrahim Alrashdi; Ibrahim A. Hameed (J. Big Data, 2025)