Abstract: Text classification in natural language processing (NLP) is evolving rapidly, particularly with the surge in transformer-based models, including large language models (LLM). This paper ...
Abstract: Classification applications in order to obtain the desired information from satellite images are one of the increasing areas of study. Remote sensing satellite images are very difficult to ...
In today's world of rapidly advancing technology, image classification has become a fundamental aspect of many applications, from identifying objects in photos to analyzing images for various purposes ...
This project explores image classification using CNNs on the CIFAR-10 dataset. It optimizes CNN architecture for high accuracy, showcasing its efficacy in diverse real-world applications. This project ...
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