An Investigation into Using Kalman Filtering for Phase Estimation in IEEE 802.15.4 /ZigBee Receivers Running on Adjacent Channel Interference. - Ali Alqahtani 003; Mohamed A. Zohdy (EIT, 2019)

A Novel Phase Tracking in ZigBee Receiver Using Extended Kalman Filtering over AWGN Channel. - Ali Alqahtani 003; Mohamed A. Zohdy; Subramaniam Ganesan; Richard Olawoyin (UEMCON, 2019)

A Novel Non-Coherent OQPSK Detection Based on Interactive Kalman Filtering with Applications in Zigbee Receiver. - Ali Alqahtani 003; Subramaniam Ganesan; Mohamed A. Zohdy; Richard Olawoyin (EIT, 2020)

Severity Grading and Early Retinopathy Lesion Detection through Hybrid Inception-ResNet Architecture. - Sana Yasin; Nasrullah Iqbal; Tariq Ali; Umar Draz; Ali Alqahtani 003; Muhammad Irfan 008; Abdul Rehman 003; Adam Glowacz; Samar M. Alqhtani; Klaudia Proniewska; Frantisek Brumercik; Lukasz Wzorek (Sensors, 2021)

A Convolutional Neural Network for Skin Lesion Segmentation Using Double U-Net Architecture. - Iqra Abid; Sultan Almakdi; Hameedur Rahman; Ahmed Almulihi; Ali Alqahtani 003; Khairan Rajab; Abdulmajeed Alqhatani; Asadullah Shaikh (Intell. Autom. Soft Comput., 2022)

Symmetrical Simulation Scheme for Anomaly Detection in Autonomous Vehicles Based on LSTM Model. - Abdulaziz A. Alsulami; Qasem Abu Al-Haija; Ali Alqahtani 003; Raed Alsini (Symmetry, 2022)

Utilizing Machine Learning Algorithms for Effectively Detection IoT DDoS Attacks. - Ala Mughaid; Ali Alqahtani 003; Shadi AlZu'bi; Ibrahim Obeidat; Rabee Alqura'n; Mahmoud AlJamal; Raid AL-Marayah (ACR, 2023)

Comparative Analysis Study for Air Quality Prediction in Smart Cities Using Regression Techniques. - Shorouq Al-Eidi; Fathi Amsaad 001; Omar A. Darwish; Yahya M. Tashtoush; Ali Alqahtani 003; Niveshitha Niveshitha (IEEE Access, 2023)

Addressing Imbalance Problem for Multi Label Classification of Scholarly Articles. - Aiman Hafeez; Tariq Ali; Asif Nawaz; Saif Ur Rehman; Azhar Imran Mudassir; Abdulaziz A. Alsulami; Ali Alqahtani 003 (IEEE Access, 2023)

Improved-Equalized Cluster Head Election Routing Protocol for Wireless Sensor Networks. - Muhammad Shahzeb Ali; Ali Alqahtani 003; Ansar Munir Shah; Adel D. Rajab; Mahmood Ul Hassan; Asadullah Shaikh; Khairan Rajab; Basit Shahzad (Comput. Syst. Sci. Eng., 2023)

Accurate Phase Detection for ZigBee Using Artificial Neural Network. - Ali Alqahtani 003; Abdulaziz A. Alsulami; Saeed Alahmari; Mesfer Alrizq (Intell. Autom. Soft Comput., 2023)

A Transfer Learning Based Approach for COVID-19 Detection Using Inception-v4 Model. - Ali Alqahtani 003; Shumaila Akram; Muhammad Ramzan; Fouzia Nawaz; Hikmat Ullah Khan; Essa Alhashlan; Samar M. Alqhtani; Areeba Waris; Zain Ali (Intell. Autom. Soft Comput., 2023)

Severity Grading and Early Detection of Alzheimer's Disease through Transfer Learning. - Saeed Alqahtani; Ali Alqahtani 003; Mohamed A. Zohdy; Abdulaziz A. Alsulami; Subramaniam Ganesan (Inf., 2023)

Interference Aware Resource Control for 6G-Enabled Expanded IoT Networks. - Ashu Taneja; Nayef Alqahtani; Ali Alqahtani 003 (Sensors, 2023)

Robust Resource Control Based on AP Selection in 6G-Enabled IoT Networks. - Ashu Taneja; Ali Alqahtani 003; Nitin Saluja; Nayef Alqahtani (Sensors, 2023)

6G-Powered Efficient Resource Control through IRS-UE Association. - Ali Alqahtani 003; Ashu Taneja; Jarallah Alqahtani; Nayef Alqahtani (Sensors, 2023)

Security strategy for autonomous vehicle cyber-physical systems using transfer learning. - Abdulaziz A. Alsulami; Qasem Abu Al-Haija; Badraddin Alturki; Ali Alqahtani 003; Raed Alsini (J. Cloud Comput., 2023)

Elevating Network Security: A Novel S-Box Algorithm for Robust Data Encryption. - Jarallah Alqahtani; Muhammad Akram; Ghassan Ahmed Ali; Nadeem Iqbal 001; Ali Alqahtani 003; Roobaea Alroobaea (IEEE Access, 2024)

Enhancing Grid-Connected Microgrid Power Dispatch Efficiency Through Bio-Inspired Optimization Algorithms. - Itrat Fatima; Jarallah Alqahtani; Raja Habib; Muhammad Akram; Tabbasum Naz; Ali Alqahtani 003; Muhammad Atif; Sultan Alyami (IEEE Access, 2024)

Forecasting cryptocurrency's buy signal with a bagged tree learning approach to enhance purchase decisions. - Raed Alsini; Qasem Abu Al-Haija; Abdulaziz A. Alsulami; Badraddin Alturki; Abdulaziz A. Alqurashi; Mouhamad D. Mashat; Ali Alqahtani 003; Nawaf Alhebaishi (Frontiers Big Data, 2024)

Optimizing chest tuberculosis image classification with oversampling and transfer learning. - Ali Alqahtani 003; Qasem Abu Al-Haija; Abdulaziz A. Alsulami; Badraddin Alturki; Nayef Alqahtani; Raed Alsini (IET Image Process., 2024)

An optimal hybrid cascade regional convolutional network for cyberattack detection. - Ali Alqahtani 003; Surbhi Bhatia Khan (Int. J. Netw. Manag., 2024)

A Comprehensive Security Framework for Asymmetrical IoT Network Environments to Monitor and Classify Cyberattack via Machine Learning. - Ali Alqahtani 003; Abdulaziz A. Alsulami; Nayef Alqahtani; Badraddin Alturki; Bandar M. Alghamdi (Symmetry, 2024)

Classifying electroencephalogram signals using an innovative and effective machine learning method based on chaotic elephant herding optimum. - Ali Alqahtani 003; Nayef Alqahtani; Abdulaziz A. Alsulami; Stephen Ojo; Prashant Kumar Shukla; Shraddha V. Pandit; Piyush Kumar Pareek; Hany S. khalifa (Expert Syst. J. Knowl. Eng., 2025)

Attaining an IoMT-based health monitoring and prediction: a hybrid hierarchical deep learning model and metaheuristic algorithm. - Prashant Kumar Shukla; Ali Alqahtani 003; Ashish Dwivedi; Nayef Alqahtani; Piyush Kumar Shukla; Abdulaziz A. Alsulami; Dragan Pamucar; Vladimir Simic (Neural Comput. Appl., 2025)

Abnormal event detection in surveillance videos through LSTM auto-encoding and local minima assistance. - Erkan Sengönül; Refik Samet; Qasem Abu Al-Haija; Ali Alqahtani 003; Rayan A. Alsemmeari; Bandar M. Alghamdi; Badraddin Alturki; Abdulaziz A. Alsulami (Discov. Internet Things, 2025)