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Titlebook: Computer, Communication, and Signal Processing; 6th IFIP TC 5 Intern Erich J. Neuhold,Xavier Fernando,Aravindan Chandra Conference proceedi

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發(fā)表于 2025-3-25 03:27:50 | 只看該作者
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發(fā)表于 2025-3-25 09:29:35 | 只看該作者
https://doi.org/10.1007/978-3-031-11633-9artificial intelligence; computer networks; computer security; computer systems; computer vision; deep le
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發(fā)表于 2025-3-25 14:58:56 | 只看該作者
978-3-031-11635-3IFIP International Federation for Information Processing 2022
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https://doi.org/10.1007/978-3-030-96662-1nd to examine lung nodule features in terms of a large population. Now a days lung plays a major role all over the world in early prevention in disease identification. The latest progress of deep learning sustains the recognition and categorization of medical images of respiratory problems. There ar
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發(fā)表于 2025-3-26 14:08:21 | 只看該作者
The European Union and the BRICSses, pests and plant diseases. Nowadays it increased fiercely. Plant pathogens are fungi, bacteria, virus or nematodes that damage plant parts such as leaf, panicle, node, stem and roots. So In agriculture, one of the latest researches is detection and classification of crop diseases using images of
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發(fā)表于 2025-3-26 19:47:08 | 只看該作者
Marina Larionova,Andrey Shelepovive, especially when developing games with thousands of characters. In such cases, procedural generation may be used to expedite the process. However, characters generated by traditional procedural generation techniques often rely on a limited pool of premade assets and may lack novelty. This work e
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