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arXiv — cs.AI

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Заголовок на английскомEnhancing Deep Learning Model Performance through Data Generation Strategies: Classification of Olive Tree Diseases

arXiv:2610.35984v1 Announce Type: new Abstract: Deep learning models are highly effective in a wide range of domains, particu larly in plant disease diagnosis. However, their performance is often limited by challenges such as insufficient data and class imbalance. In our work,…

arXiv — cs.AIАвтор: Hicham El Akhal, Abderrahim Waga, Aissa Ben Yahya, Abdelbaki El Belrhiti El Alaoui28 октября 2026 г. (13 часов назад)
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  • arXiv:2610.35984v1 Announce Type: new Abstract: Deep learning models are highly effective in a wide range of domains, particu larly in plant disease diagnosis
  • However, their performance is often limited by challenges such as insufficient data and class imbalance
  • In our work,…
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Enhancing Deep Learning Model Performance through Data Generation Strategies: Classification of Olive Tree Diseases

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