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Titlebook: Emerging Technologies in Computing; 6th EAI Internationa Mahdi H. Miraz,Garfield Southall,Andrew Ware Conference proceedings 2024 ICST Inst

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1867-8211 2023, held at Southend-on-Sea, UK, in August 2023..The 15 revised full papers were reviewed and selected from 41 submissions and are organised in topical sections covering AI, expert systems and big data analytics; information and network security; cloud, IoT and distributed computing..978-3-031-502
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DocBot: A System for Disease Detection and Specialized Doctor Recommendation Using Patient’s Speech timize our system’s performance, we trained our machine using multiple algorithms and evaluated their results. Our evaluation revealed an accuracy of 86.59% for Naive Bayes, 83.17% for Unhyperd SVM, 98.05% for Hyperd SVM, 97.4% for Decision Tree, and the highest accuracy of 99.35% was achieved by Random Forest.
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Conference proceedings 2024 at Southend-on-Sea, UK, in August 2023..The 15 revised full papers were reviewed and selected from 41 submissions and are organised in topical sections covering AI, expert systems and big data analytics; information and network security; cloud, IoT and distributed computing..
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W. Ebert,G. Menke,W. Engelhardtrade-off between different design parameters and synthesize LC phase shifter structures that meet specific performance requirements (e.g., insertion loss, insertion loss balancing, phase tuning range, tuning speed, power consumption). The framework is envisaged to allow for the efficient and effecti
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Vasileios Ziogas,Athanassios Molassiotiserations, indicating the model’s ability to learn from the data. The consistency test further showed that the model performance, as quantified by the Mean Squared Error (MSE), remained consistent across multiple runs with different random seeds, suggesting the model’s stability and robustness agains
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