A new COVID-19 Patients Detection Strategy (CPDS) based on hybrid feature selection and enhanced KNN classifier. - Warda M. Shaban; Asmaa H. Rabie; Ahmed I. Saleh; M. A. Abo-Elsoud (Knowl. Based Syst., 2020)

Detecting COVID-19 patients based on fuzzy inference engine and Deep Neural Network. - Warda M. Shaban; Asmaa H. Rabie; Ahmed I. Saleh; M. A. Abo-Elsoud (Appl. Soft Comput., 2021)

Accurate detection of COVID-19 patients based on distance biased Naïve Bayes (DBNB) classification strategy. - Warda M. Shaban; Asmaa H. Rabie; Ahmed I. Saleh; M. A. Abo-Elsoud (Pattern Recognit., 2021)

Insight into breast cancer detection: new hybrid feature selection method. - Warda M. Shaban (Neural Comput. Appl., 2023)

SMP-DL: a novel stock market prediction approach based on deep learning for effective trend forecasting. - Warda M. Shaban; Eman Ashraf; Ahmed Elsaid Slama (Neural Comput. Appl., 2024)

Early diagnosis of liver disease using improved binary butterfly optimization and machine learning algorithms. - Warda M. Shaban (Multim. Tools Appl., 2024)

Detection and classification of photovoltaic module defects based on artificial intelligence. - Warda M. Shaban (Neural Comput. Appl., 2024)

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)

Integrating V2X solutions in intelligent green cities: an AI-driven point exchange system approach. - Fatma M. Talaat; Warda M. Shaban; Hanaa ZainEldin; Mahmoud Badawy 001; Mostafa A. El-Hosseini (Neural Comput. Appl., 2025)

Precise fraud detection and risk management with explainable artificial intelligence. - Fatma M. Talaat; T. Medhat; Warda M. Shaban (Neural Comput. Appl., 2025)