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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

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Kübra Keser

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#explainable ai Sep 2026

Classification of Synthetic Biosensor Data with Quantum Simulations Using Feature Optimization and Explainable Machine Learning Supported by RFECV

Background/Aim: Accurate detection of trace amounts of heavy metal toxins in environmental samples requires sensitive and reliable diagnostic systems. This study presents a machine learning framework to classify synthetic biosensor signals—generated via quantum simulation—representing five toxin classes: Control, Lead,...

Halil İbrahim Sarı, Kübra Keser · 0 citations

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