Garbage In, Flowers Out: Noisy Training Data Help Generative Models at Test Time by Alberto Testoni, Raffaella Bernardi

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From garbage to biosorbent: overview raw and hexane purified almond shells for nickel (II) ions removal by Hasan Koçyiğit, Gülden Gök, Hakan Çelebi

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Research on floating object classification algorithm based on convolutional neural network by Jikai Yang, Zihan Li, Ziyan Gu, Wei Li

“…By tweaking certain parameters, the study analyzed the impact of the number of epochs and batch sizes on the model’s classification effectiveness. …”
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Optimizing Backbone Networks Through Hybrid–Modal Fusion: A New Strategy for Waste Classification by Houkui Zhou, Qifeng Ding, Chang Chen, Qinqin Liao, Qun Wang, Huimin Yu, Haoji Hu, Guangqun Zhang, Junguo Hu, Tao He

“…By incorporating advanced techniques such as the Agent Attention mechanism and the LionBatch optimization strategy, HFWC-Net not only improves classification accuracy but also significantly reduces classification time. …”
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