5 hasil untuk "Issam Jebreen"
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Artikel Jurnal
Enhancing Organizational Performance: Synergy of Cyber-Physical Systems, Cloud Services, and Crowdsensing
In the contemporary business landscape, software has evolved into a strategic asset crucial for organizations seeking sustainable competitive advantage. The imperative of ensuring software quality becomes evident as low-quality software systems pose formidable challenges to organizational…
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Artikel Jurnal Teks lengkap
Explainable Machine Learning Approach for Hepatitis C Diagnosis Using SFS Feature Selection
Hepatitis C is a significant public health concern, resulting in substantial morbidity and mortality worldwide. Early diagnosis and effective treatment are essential to prevent the disease’s progression to chronic liver disease. Machine learning algorithms have been increasingly used to develop…
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Artikel Jurnal
Enhancing Stroke Prediction Using Generative Adversarial Networks for Intelligent Medical Care
Stroke prediction and prevention is an important focus in healthcare due to the significant morbidity and mortality associated with strokes. In this study, we investigate using Generative Adversarial Networks (GANs) to augment a stroke dataset and evaluate the effects on prediction performance. The…
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Artikel Jurnal
Adaptive conflict resolution for IoT transactions: A reinforcement learning-based hybrid validation protocol
Abstract This paper introduces a novel Reinforcement Learning-Based Hybrid Validation Protocol (RL-CC) that revolutionizes conflict resolution for time-sensitive IoT transactions through adaptive edge-cloud coordination. Efficient transaction management in sensor-based systems is crucial for…
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Artikel Jurnal
Feature Selection in Socio-Economic Analysis: A Multi-Method Approach for Accurate Predictive Outcomes
Feature selection is a cornerstone in advancing the accuracy and efficiency of predictive models, particularly in nuanced domains like socio-economic analysis. This study explores nine distinct feature selection methods, utilizing a heart disease dataset as a representative model for complex…