Titlebook: Artificial Intelligence: Theory and Applications; Proceedings of AITA Harish Sharma,Antorweep Chakravorty,Rajani Kumari Conference proceed

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Artificial Intelligence: Theory and Applications978-981-99-8479-4Series ISSN 2367-3370 Series E-ISSN 2367-3389

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https://doi.org/10.1007/978-3-642-29201-9on a number of performance metrics, such as accuracy F1-score, recall, and computational effectiveness. Here we have the model accuracy of ResNet50 at 53% and RNN at 23% with epoch 10. Our objective is to evaluate how well the models can categorize various human activities. The outcomes demonstrate that ResNet50 outperformed RNN.

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Medikamentenabhängigkeit und Arbeitore. The summary generated by the novel hybrid methods combining the extractive methods like the graph with the sum of weights, the graph with bushy path and the rough set TFIDF methods with the abstractive Pegasus fine-tuned model gives the best rouge and BERT scores among the other hybrid methods.

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