Alelaiwi, Abdulhameed

A Hybrid Feature Extraction Method with Regularized Extreme Learning Machine for Brain Tumor Classification

Gumaei, A., Hassan, M. M., Hassan, M. R., Alelaiwi, A., & Fortino, G. (2019) · IEEE Access

Brain Tumor Detection and ClassificationRadiomics and Machine Learning in Medical Imaging

Cited by 484

Smart Health Solution Integrating IoT and Cloud: A Case Study of Voice Pathology Monitoring

Muhammad, G., Rahman, S. M. M., Alelaiwi, A., & Alamri, A. (2017) · IEEE Communications Magazine

Internet of Things and AIVoice and Speech Disorders

Cited by 244

A Hybrid Deep Learning Model for Human Activity Recognition Using Multimodal Body Sensing Data

Gumaei, A., Hassan, M. M., Alelaiwi, A., & Alsalman, H. (2019) · IEEE Access

Context-Aware Activity Recognition SystemsGait Recognition and Analysis

Cited by 157

Privacy-aware service placement for mobile edge computing via federated learning

Qian, Y., Hu, L., Chen, J., Guan, X., Hassan, M. M., & Alelaiwi, A. (2019) · Information Sciences

IoT and Edge/Fog ComputingPrivacy-Preserving Technologies in Data

Cited by 122

Universal and secure object ownership transfer protocol for the Internet of Things

Ray, B. R., Abawajy, J., Chowdhury, M., & Alelaiwi, A. (2018) · Future Generation Computer Systems

RFID technology advancementsAdvanced Authentication Protocols Security

Cited by 34