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Lightweight Context-Aware Authentication Model for IoT
Developed and evaluated a lightweight machine learning model for context-aware risk classification in IoT authentication. The notebook covers data preprocessing, feature selection, model training, performance evaluation, and risk-based authentication, with emphasis on lightweight and efficient deployment.
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Hey! We've updated one of our most popular and frequently used Flora's workflows, where you could generate a model, then match the campaign's style, and then generate product showcasing in that editorial reference style. Now our workflow is more efficient and more fault-tolerant. We've updated all the techniques inside, switched from NanoBanana to GPT Image 2. It's more consistent and delivers more expected results. So, check it out, enjoy, and use it in your projects 👉 https://refer.flora.ai/NgofLHR
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