hello Tomer We are Reema Nasr and Basel Haddad want your approval of one of this two choices.
Garbage Detection Based on Convolutional Neural Network
year of publication: 2023
the paper proposes a CNN-based model to automatically classify and detect waste types from images, enhancing sorting and recycling efficiency. This approach aims to improve traditional waste management systems by leveraging deep learning for accurate and efficient garbage classification.
2. paper : Improving SemiEvol: Semi-supervised Fine-tuning for LLM Adaptation
year of the publication is 2024
paper link :https://arxiv.org/pdf/2410.14745v1
The paper presents a semi-supervised fine-tuning framework designed to adapt large language models (LLMs) by leveraging both labeled and unlabeled data. It introduces a bi-level approach that combines supervised learning with self-training to enhance model performance and generalization.
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Project 1: The did a very amateur Neural network and experimentation, I approve it but I do recommend that you'd find a different more advanced topic. For example, about VLMs (Vision Language Models) Project 2: Approved