Titlebook: AGC 2023; First Analytics Glob Suparna Dhar,Sanjay Goswami,Chandan Mazumdar Conference proceedings 2024 The Editor(s) (if applicable) and T

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Mohamad M. Yagoub,Sharaf Aldeen Mahmoudavailable. Here we implement machine learning techniques to reach out for interested acceptors to a particular donor. Again, this will also help patients suffering from diseases like Thalassaemia who need blood of a particular group at regular intervals.

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Oana Florescu,Jeroen Voeten,Henk Corporaal photos. We have applied techniques of image preprocessing using Contrast Limited Adaptive Histogram Equalization (CLAHE) and Adaptive Histogram Equalization (AHE). We built the model by applying CNN. We have also applied transfer learning techniques using Visual Geometry Group (VGG16) and Residual

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Zhonghai Lu,Ingo Sander,Axel Jantschle information, thereby contributing significant insights while minimizing the need for manual labor. The ability of machines to understand the context just like humans do has been a challenging problem for so long. The objective of this research is to introduce a novel evaluation metric for measuri

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Lossan Bondé,Pierre Boulet,Jean-Luc Dekeyserds assessing ChatGPT’s language capabilities. This study takes a small, yet important step in research towards assessing language models. It opens avenues for future research towards strengthening the generator model and developing the discriminator dataset.

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