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

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Investigation of Air Effluence Using IoT and Machine Learningg (GB), and Random Forest classifiers are applied to predict pollution levels using environmental parameters. The Random Forest classifier achieves an impressive prediction accuracy of .. Evaluation metrics, including precision, recall, F1 score, Kappa score, mean square error (MSE), root mean squar

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Physics-Informed Machine Learning Assisted Liquid Crystals µWave Phase Shifters Design and Synthesisity, as well as reasonably low absorption loss. However, designing LC phase shifters that meet specific application requirements (e.g., SpaceTech) is a challenging task that entails a complex trade-off between various parameters. Physics-informed machine learning (PI-ML) combines the power of machin