Productive-associated Periodic High-utility itemsets mining. - Walaa N. Ismail; Mohammad Mehedi Hassan; Giancarlo Fortino (ICNSC, 2017)

Mobile Cloud-Based Big Healthcare Data Processing in Smart Cities. - Md. Mofijul Islam; Md. Abdur Razzaque; Mohammad Mehedi Hassan; Walaa N. Ismail; Biao Song (IEEE Access, 2017)

Mining Productive-Associated Periodic-Frequent Patterns in Body Sensor Data for Smart Home Care. - Walaa N. Ismail; Mohammad Mehedi Hassan (Sensors, 2017)

Malware Threats and Detection for Industrial Mobile-IoT Networks. - Shaila Sharmeen; Md. Shamsul Huda; Jemal H. Abawajy; Walaa N. Ismail; Mohammad Mehedi Hassan (IEEE Access, 2018)

Mining of productive periodic-frequent patterns for IoT data analytics. - Walaa N. Ismail; Mohammad Mehedi Hassan; Hessah A. Alsalamah (Future Gener. Comput. Syst., 2018)

Mining productive-periodic frequent patterns in tele-health systems. - Walaa N. Ismail; Mohammad Mehedi Hassan; Hessah A. Alsalamah; Giancarlo Fortino (J. Netw. Comput. Appl., 2018)

Probability-Based Centralized Device for Spectrum Handoff in Cognitive Radio Networks. - Manav Aggarwal; T. Velmurugan 001; Marimuthu Karuppiah; Mohammad Mehedi Hassan; Ahmad Almogren; Walaa N. Ismail (IEEE Access, 2019)

Context-Enriched Regular Human Behavioral Pattern Detection From Body Sensors Data. - Walaa N. Ismail; Mohammad Mehedi Hassan; Hessah A. Alsalamah (IEEE Access, 2019)

CNN-Based Health Model for Regular Health Factors Analysis in Internet-of-Medical Things Environment. - Walaa N. Ismail; Mohammad Mehedi Hassan; Hessah A. Alsalamah; Giancarlo Fortino (IEEE Access, 2020)

Building a Patient-Centered Virtual Hospital Ecosystem Using Both Access Control and CNN-Based Models. - Sara A. Alsalamah; Shada Alsalamah; Walaa N. Ismail; Hessah A. Alsalamah; Chang-Tien Lu (IEEE Big Data, 2022)

A Decision-Level Fusion Method for COVID-19 Patient Health Prediction. - Abdu Gumaei; Walaa N. Ismail; Md. Rafiul Hassan; Mohammad Mehedi Hassan; Ebtsam Mohamed; Abdullah Alelaiwi; Giancarlo Fortino (Big Data Res., 2022)

A framework of genetic algorithm-based CNN on multi-access edge computing for automated detection of COVID-19. - Md. Rafiul Hassan; Walaa N. Ismail; Ahmad Chowdhury; Sharara Hossain; Shamsul Huda; Mohammad Mehedi Hassan (J. Supercomput., 2022)

Correction to: A framework of genetic algorithm-based CNN on multi-access edge computing for automated detection of COVID-19. - Md Raful Hassan; Walaa N. Ismail; Ahmad Chowdhury; Sharara Hossain; Shamsul Huda; Mohammad Mehedi Hassan (J. Supercomput., 2023)

The Impact of Class Weight Optimization on Improving Machine Learning Outcomes in Identifying COVID-19 Specific ECG Patterns. - Sara Khan; Walaa N. Ismail; Shada Alsalamah; Ebtesam Mohamed; Hessah A. Alsalamah (BIOSTEC (2), 2024)

The Impact of the Weighted Features on the Accuracy of X-Platform's User Credibility Detection Using Supervised Machine Learning. - Nahid R. Abid-Althaqafi; Hessah A. Alsalamah; Walaa N. Ismail (IEEE Access, 2024)

A novel CatractNetDetect deep learning model for effective cataract classification through data fusion of fundus images. - Walaa N. Ismail; Hessah A. Alsalamah (Discov. Artif. Intell., 2024)

Genetic-efficient fine-tuning with layer pruning on multimodal Covid-19 medical imaging. - Walaa N. Ismail; Hessah A. Alsalamah; Ebtsam Mohamed (Neural Comput. Appl., 2024)

A two-stage framework for Arabic social media text misinformation detection combining data augmentation and AraBERT. - Ebtsam Mohamed; Walaa N. Ismail; Osman Ali Sadek Ibrahim; Eman M. G. Younis (Soc. Netw. Anal. Min., 2024)

Revisiting recommender systems: an investigative survey. - Osman Ali Sadek Ibrahim; Eman M. G. Younis; Ebtsam Mohamed; Walaa N. Ismail (Neural Comput. Appl., 2025)