Abstract: This research study presents the application of the DenseNet121 model for Optical Character Recognition (OCR) using a dataset generated from 3,475 Google Fonts, encompassing 62 classes of ...
This app isn’t about to become a billion-dollar company. It can remember your collection, but only if you return to it using the same computer or phone. Someone without technical skills may struggle ...
Abstract: Security in code generation remains a pivotal challenge when applying large language models (LLMs). This paper introduces RefleXGen, an innovative method that significantly enhances code ...
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