Deep Learning Technology to Recognize American Sign Language Alphabet Using Mulit-Focus Image Fusion Technique

Alsharif, Bader; Alanazi, Munid; Altaher, Ali Salem; Altaher, Ahmed; Ilyas, Mohammad

doi:10.1109/honet59747.2023.10374775

2023 IEEE 20th International Conference on Smart Communities: Improving Quality of Life Using AI, Robotics and IoT (HONET) 2023

DOI: 10.1109/honet59747.2023.10374775

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Deep Learning Technology to Recognize American Sign Language Alphabet Using Mulit-Focus Image Fusion Technique

Bader Alsharif,

Munid Alanazi,

Ali Salem Altaher

et al.

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2024

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Cited by 2 publications

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Spatial Deep Learning Approach to Older Driver Classification

Boateng,

Ghoreishi,

Yang

et al. 2024

IEEE Access

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Spatial Deep Learning Approach to Older Driver Classification

Boateng,

Ghoreishi,

Yang

et al. 2024

IEEE Access

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Enhancing Cybersecurity in Healthcare: Evaluating Ensemble Learning Models for Intrusion Detection in the Internet of Medical Things

Alsolami,

Alsharif,

Ilyas

2024

Sensors

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This study investigates the efficacy of machine learning models for intrusion detection in the Internet of Medical Things, aiming to enhance cybersecurity defenses and protect sensitive healthcare data. The analysis focuses on evaluating the performance of ensemble learning algorithms, specifically Stacking, Bagging, and Boosting, using Random Forest and Support Vector Machines as base models on the WUSTL-EHMS-2020 dataset. Through a comprehensive examination of performance metrics such as accuracy, precision, recall, and F1-score, Stacking demonstrates exceptional accuracy and reliability in detecting and classifying cyber attack incidents with an accuracy rate of 98.88%. Bagging is ranked second, with an accuracy rate of 97.83%, while Boosting yielded the lowest accuracy rate of 88.68%.

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Deep Learning Technology to Recognize American Sign Language Alphabet Using Mulit-Focus Image Fusion Technique

Cited by 2 publications

References 19 publications

Spatial Deep Learning Approach to Older Driver Classification

Spatial Deep Learning Approach to Older Driver Classification

Enhancing Cybersecurity in Healthcare: Evaluating Ensemble Learning Models for Intrusion Detection in the Internet of Medical Things

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