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Titlebook: Near Infrared-Emitting Nanoparticles for Biomedical Applications; Antonio Benayas,Eva Hemmer,Daniel Jaque Book 2020 Springer Nature Switze

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樓主: Espionage
11#
發(fā)表于 2025-3-23 12:52:26 | 只看該作者
Meiling Tan,Guanying Chennt our browsing system. The experiment compares the performance of using different distance measures and shows the effectiveness of the interval clustering algorithm we use. We also use a sample data set to illustrate the interactive QoS browsing process.
12#
發(fā)表于 2025-3-23 14:19:07 | 只看該作者
Haotian Du,Hao Wan,Hongjie Dainerate well-considered steps for instructing the recommendation of reliable workflows. This method represents the first exploration of incorporating LLMs into the scientific workflow domain. Experimental results on real-world benchmarks demonstrate that PGM outperforms state-of-the-art methods with
13#
發(fā)表于 2025-3-23 19:17:09 | 只看該作者
14#
發(fā)表于 2025-3-24 01:15:02 | 只看該作者
Tayline V. de Medeiros,Rafik Naccachegies. We have implemented . and conducted thorough experiments. The results demonstrate that . surpasses state-of-the-art approaches by elevating DNN inference throughput by up to 4.67., all while satisfying the same stringent inference latency requirements. Furthermore, . has been successfully depl
15#
發(fā)表于 2025-3-24 03:42:22 | 只看該作者
16#
發(fā)表于 2025-3-24 08:05:28 | 只看該作者
17#
發(fā)表于 2025-3-24 13:33:38 | 只看該作者
Guangcun Chen,Yejun Zhang,Chunyan Li,Qiangbin Wangb description are not readily available from the description. Thus, the process of resolution involves deep data cleansing, classification, attributes identification, and building highly scalable similarity detection algorithms. In this paper, we propose RISE?- that uses values of attributes in the
18#
發(fā)表于 2025-3-24 18:28:03 | 只看該作者
L. Marciniak,K. Kniec,K. Elzbieciak,A. Bednarkiewiczproach to improve the aforementioned trade-offs. The results based on real trace demonstrate that our approach saves 20% energy consumption than VM consolidation approach. Compared with existing energy-efficient brownout approach, our approach reduces the discount amount given to users while saving
19#
發(fā)表于 2025-3-24 20:55:56 | 只看該作者
Takashi Jin,Yasutomo Nomurad by customers and improve them in advance, we give a convolutional sliding window and random forest based algorithm (.) for predicting the future trend of the attention degree on one VF, either for a single service or for services belonging to the same region/domain. In terms of Maximum Information
20#
發(fā)表于 2025-3-25 00:15:47 | 只看該作者
matically analyzing the service description only. We devise an algorithm that automatically derives a URI Model from the service description and then analyzes the payload schemas to identify feasible values for the substitution of path parameters in URI Templates. We implement this approach as a pro
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