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Titlebook: Hybrid Micro-Machining Processes; Sumit Bhowmik,Divya Zindani Book 2019 The Author(s), under exclusive license to Springer Nature Switzerl

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31#
發(fā)表于 2025-3-26 21:56:56 | 只看該作者
Using Local Integral Invariants for Object Recognition in Complex Scenesed. The effect of the feature vector dimensionality and the performance in the presence of noise are also examined. Promising results are obtained using a dataset that contains instances of objects that are viewed in difficult situations that include clutter and occlusion.
32#
發(fā)表于 2025-3-27 01:51:26 | 只看該作者
https://doi.org/10.1007/978-3-642-50960-5vatively based on three similarity indicators, which reflect the essential features of source ontology. The results of the benchmarking experiment suggested that the approach has strong matching ability. It obtained high precision and promising evaluation results.
33#
發(fā)表于 2025-3-27 07:38:31 | 只看該作者
34#
發(fā)表于 2025-3-27 12:45:06 | 只看該作者
35#
發(fā)表于 2025-3-27 16:39:56 | 只看該作者
36#
發(fā)表于 2025-3-27 20:39:02 | 只看該作者
37#
發(fā)表于 2025-3-27 22:12:17 | 只看該作者
ile age-related chronic illnesses have filled the gap wherever biomedicine has made successful inroads. The rise of antibiotic resistance also poses major threats to public health. Thus, as disease patterns evolve, the rational development of new drugs is becoming urgent, not only for the clinical o
38#
發(fā)表于 2025-3-28 02:10:00 | 只看該作者
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