RANDOMIZED OBLIVIOUS TRANSFER FOR SECURE MULTIPARTY COMPUTATION IN THE QUANTUM SETTING


Problems With SHAP and LIME in Interpretable AI for Education: A Comparative Study of Post-Hoc Explanations and Neural-Symbolic Rule Extraction

Given that education is classified as a ‘high-risk’ domain under regulatory frameworks like the EU AI Act, ensuring accurate and trustworthy interpretability in educational AI applications is critical due to its profound impact on student learning and development.This study compares a knowledge-based artificial neural network (KBANN)

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An Investigation Of Roof Garden Design Criteria

With the effects inflicted by irregular development and growth of built environment that started to form towards the end of the 20th century, green areas started to lose their original function and started to decrease.Higher cost of land in urban areas have led to a re-evaluation of the usable space on building roofs.Accordingly, the number of desi

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