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ORCIDWalaa N. Ismail
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2020 – today
- 2024
[j15]Nahid R. Abid-Althaqafi
, Hessah A. Alsalamah, Walaa N. Ismail:
The Impact of the Weighted Features on the Accuracy of X-Platform's User Credibility Detection Using Supervised Machine Learning. IEEE Access 12: 8471-8484 (2024)- [j14]Walaa N. Ismail, Hessah A. Alsalamah:
A novel CatractNetDetect deep learning model for effective cataract classification through data fusion of fundus images. Discov. Artif. Intell. 4(1): 54 (2024) - [j13]Walaa N. Ismail, Hessah A. Alsalamah, Ebtsam Mohamed:
Genetic-efficient fine-tuning with layer pruning on multimodal Covid-19 medical imaging. Neural Comput. Appl. 36(6): 3215-3237 (2024) - [j12]Ebtsam Mohamed, Walaa N. Ismail, Osman Ali Sadek Ibrahim, Eman M. G. Younis:
A two-stage framework for Arabic social media text misinformation detection combining data augmentation and AraBERT. Soc. Netw. Anal. Min. 14(1): 53 (2024) - [c3]Sara Khan, Walaa N. Ismail, Shada Alsalamah, Ebtesam Mohamed, Hessah A. Alsalamah:
The Impact of Class Weight Optimization on Improving Machine Learning Outcomes in Identifying COVID-19 Specific ECG Patterns. BIOSTEC (2) 2024: 562-567 - 2023
- [j11]Md Raful Hassan, Walaa N. Ismail, Ahmad Chowdhury, Sharara Hossain, Shamsul Huda, Mohammad Mehedi Hassan:
Correction to: A framework of genetic algorithm-based CNN on multi-access edge computing for automated detection of COVID-19. J. Supercomput. 79(9): 10507-10508 (2023) - 2022
- [j10]Abdu Gumaei, Walaa N. Ismail, Md. Rafiul Hassan, Mohammad Mehedi Hassan, Ebtsam Mohamed, Abdullah Alelaiwi, Giancarlo Fortino:
A Decision-Level Fusion Method for COVID-19 Patient Health Prediction. Big Data Res. 27: 100287 (2022) - [j9]Md. Rafiul Hassan, Walaa N. Ismail, Ahmad Chowdhury, Sharara Hossain, Shamsul Huda, Mohammad Mehedi Hassan:
A framework of genetic algorithm-based CNN on multi-access edge computing for automated detection of COVID-19. J. Supercomput. 78(7): 10250-10274 (2022) - [c2]Sara A. Alsalamah, Shada Alsalamah, Walaa N. Ismail, Hessah A. Alsalamah, Chang-Tien Lu:
Building a Patient-Centered Virtual Hospital Ecosystem Using Both Access Control and CNN-Based Models. IEEE Big Data 2022: 5200-5209 - 2020
- [j8]Walaa N. Ismail, Mohammad Mehedi Hassan, Hessah A. Alsalamah, Giancarlo Fortino:
CNN-Based Health Model for Regular Health Factors Analysis in Internet-of-Medical Things Environment. IEEE Access 8: 52541-52549 (2020)
2010 – 2019
- 2019
- [j7]Manav Aggarwal, T. Velmurugan, Marimuthu Karuppiah, Mohammad Mehedi Hassan, Ahmad Almogren, Walaa N. Ismail:
Probability-Based Centralized Device for Spectrum Handoff in Cognitive Radio Networks. IEEE Access 7: 26731-26739 (2019) - [j6]Walaa N. Ismail, Mohammad Mehedi Hassan, Hessah A. Alsalamah:
Context-Enriched Regular Human Behavioral Pattern Detection From Body Sensors Data. IEEE Access 7: 33834-33850 (2019) - 2018
- [j5]Shaila Sharmeen, Md. Shamsul Huda, Jemal H. Abawajy, Walaa N. Ismail, Mohammad Mehedi Hassan:
Malware Threats and Detection for Industrial Mobile-IoT Networks. IEEE Access 6: 15941-15957 (2018) - [j4]Walaa N. Ismail, Mohammad Mehedi Hassan, Hessah A. Alsalamah:
Mining of productive periodic-frequent patterns for IoT data analytics. Future Gener. Comput. Syst. 88: 512-523 (2018) - [j3]Walaa N. Ismail, Mohammad Mehedi Hassan, Hessah A. Alsalamah, Giancarlo Fortino:
Mining productive-periodic frequent patterns in tele-health systems. J. Netw. Comput. Appl. 115: 33-47 (2018) - 2017
- [j2]Md. Mofijul Islam, Md. Abdur Razzaque, Mohammad Mehedi Hassan, Walaa N. Ismail, Biao Song:
Mobile Cloud-Based Big Healthcare Data Processing in Smart Cities. IEEE Access 5: 11887-11899 (2017) - [j1]Walaa N. Ismail, Mohammad Mehedi Hassan:
Mining Productive-Associated Periodic-Frequent Patterns in Body Sensor Data for Smart Home Care. Sensors 17(5): 952 (2017) - [c1]Walaa N. Ismail, Mohammad Mehedi Hassan, Giancarlo Fortino:
Productive-associated Periodic High-utility itemsets mining. ICNSC 2017: 637-642
Coauthor Index
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