Virtual laboratories for electrical engineering students: Student perspectives and design guidelines - Ali Altalbe (2018)

Performance Impact of Simulation-Based Virtual Laboratory on Engineering Students: A Case Study of Australia Virtual System. - Ali Altalbe (IEEE Access, 2019)

Optimal Power Generation in Energy-Deficient Scenarios Using Bagging Ensembles. - Kashif Mehmood; Hafiz Tehzeeb Ul Hassan; Ali Raza 002; Ali Altalbe; Haroon Farooq (IEEE Access, 2019)

Hybrid Optical-Radio Transmission System Link Quality: Link Budget Analysis. - Hasnain Kashif; Muhammad Nasir Khan; Ali Altalbe (IEEE Access, 2020)

Hybrid Source Prior Based Independent Vector Analysis for Blind Separation of Speech Signals. - Junaid Bahadar Khan; Tariqullah Jan; Ruhul Amin Khalil; Ali Altalbe (IEEE Access, 2020)

Time series data analysis of stock price movement using machine learning techniques. - Irfan Ramzan Parray; Surinder Singh Khurana; Munish Kumar 001; Ali A. Altalbe (Soft Comput., 2020)

Antecedents of Actual Usage of e-Learning System in High Education During COVID-19 Pandemic: Moderation Effect of Instructor Support. - Ali Altalbe (IEEE Access, 2021)

Prediction of Scenarios for Routing in MANETs Based on Expanding Ring Search and Random Early Detection Parameters Using Machine Learning Techniques. - Durr-e-Nayab; Mohammad Haseeb Zafar; Ali Altalbe (IEEE Access, 2021)

Experimental evaluation of filters used for removing speckle noise and enhancing ultrasound image quality. - Muhammad Nasir Khan; Ali Altalbe (Biomed. Signal Process. Control., 2022)

Assuring enhanced privacy violation detection model for social networks. - Ali Altalbe; Faris A. Kateb (Int. J. Intell. Comput. Cybern., 2022)

Error Analysis of Free Space Communication System Using Machine Learning. - Ali A. Altalbe; Muhammad Nasir Khan; Muhammad Tahir (IEEE Access, 2023)

Security Provision by Using Detection and Prevention Methods to Ensure Trust in Edge-Based Smart City Networks. - Abeer Iftikhar; Kashif Naseer Qureshi; Ali A. Altalbe; Khalid Javeed (IEEE Access, 2023)

Applying Customized Convolutional Neural Network to Kidney Image Volumes for Kidney Disease Detection. - Ali Altalbe; Abdul Rehman Javed (Comput. Syst. Sci. Eng., 2023)

Privacy Preserved Brain Disorder Diagnosis Using Federated Learning. - Ali Altalbe; Abdul Rehman Javed (Comput. Syst. Sci. Eng., 2023)

Computing of LQR Technique for Nonlinear System Using Local Approximation. - Aamir Shahzad; Ali Altalbe (Comput. Syst. Sci. Eng., 2023)

Computing and Implementation of a Controlled Telepresence Robot. - Ali A. Altalbe; Aamir Shahzad; Muhammad Nasir Khan (Intell. Autom. Soft Comput., 2023)

Enhanced Intrusion Detection in In-Vehicle Networks Using Advanced Feature Fusion and Stacking-Enriched Learning. - Ali Altalbe (IEEE Access, 2024)

A ZVZCS Full-Bridge Converter Suitable for Renewable Energy-Based MVDC Collection System. - Syed Waqar Azeem; Muhammad Ehab; Bingsen Wang; Josep M. Guerrero; Kashif Mehmood; Ali Altalbe (IEEE Access, 2024)

QuCNet: Quantum-Inspired Convolutional Neural Networks for Optimized Thyroid Nodule Classification. - Gunti Swathi; Ali Altalbe; R. Prasanna Kumar (IEEE Access, 2024)

Correction: Applying Customized Convolutional Neural Network to Kidney Image Volumes for Kidney Disease Detection. - Ali Altalbe (Comput. Syst. Sci. Eng., 2024)

Whale-optimized LSTM networks for enhanced automatic text summarization. - Bharathi Mohan Gurusamy; Prasanna Kumar Rangarajan; Ali Altalbe (Frontiers Artif. Intell., 2024)

Telehealth-Enabled In-Home Elbow Rehabilitation for Brachial Plexus Injuries Using Deep-Reinforcement-Learning-Assisted Telepresence Robots. - Muhammad Nasir Khan; Ali Altalbe; Fawad Naseer; Qasim Awais (Sensors, 2024)

Scale based entropy measures and deep learning methods for analyzing the dynamical characteristics of cardiorespiratory control system in COVID-19 subjects during and after recovery. - Madini O. Alassafi; Wajid Aziz; Rayed AlGhamdi; Abdulrahman A. Alshdadi; Malik Sajjad Ahmed Nadeem; Ishtiaq Rasool Khan; Nabeel Albishry; Adel A. Bahaddad; Ali Altalbe (Comput. Biol. Medicine, 2024)

Integrating Machine Learning Ensembles for Landslide Susceptibility Mapping in Northern Pakistan. - Nafees Ali; Jian Chen; Xiaodong Fu; Rashid Ali; Muhammad Afaq Hussain; Hamza Daud; Javid Hussain; Ali Altalbe (Remote. Sens., 2024)

A dynamic ensemble learning based data mining framework for medical imbalanced big data. - M. Rithani; R. Prasanna Kumar; Ali Altalbe (Knowl. Based Syst., 2025)