湿润
发表于 2025-3-23 10:58:31
Der Freiwillige Wehrdienst in der Bundeswehrshow that the proposed chained forwarding mechanism can reduce 10% of the forwarding latency. Furthermore, the mechanism demonstrates substantial scalability and provides significant performance improvements in large-scale networks.
Monocle
发表于 2025-3-23 15:20:58
,Theoretische Konzepte für die Datenanalyse,ess to the hit rate. The algorithm mainly includes object temperature calculation, temperature density calculation and cache replacement policy. Subsequently, we evaluate the TDC algorithm on a real traces dataset using playback workload IO and demonstrate the efficiency of the algorithm in improvin
electrolyte
发表于 2025-3-23 20:41:08
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Myocyte
发表于 2025-3-23 22:41:55
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BOOR
发表于 2025-3-24 05:15:42
Der Friedensvertrag und die Auswanderung,nging network conditions to optimize the video quality posterior to video enhancement. We develop a real-world prototype of the proposed Real-EVE, demonstrating Real-EVE outperforms all benchmarks, and both the VE-DNN and VEA-ABR bring drastic performance gain.
BROOK
发表于 2025-3-24 10:01:40
Short Video Account Influence Evaluation Model Based on Improved SF-UIR Algorithm,ial network topology, the influence of followers based on the topological structure platform is introduced, which makes the evaluation result more reasonable and provides a new way for influence ranking of short video accounts. Taking Douyin (TikTok in China) short video platform as the experimental
护身符
发表于 2025-3-24 13:44:59
,Deep Hash Learning of Feature-Invariant Representation for Single-Label and Multi-label Retrieval,ages directly through the pixels, it does not understand the high-level semantics of the images. Hence, we take the feature invariance of the images into consideration, which means that the transformed image should have the same feature representation with the original image. In this way, we propose
Foment
发表于 2025-3-24 18:01:50
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fallible
发表于 2025-3-24 20:36:14
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丛林
发表于 2025-3-25 02:05:23
,DFECTS: A Deep Fuzzy Ensemble Clusterer for Time Series,er, traditional voting algorithm widely-used in ensemble classifier does not work in ensemble clusterer because labels mismatch among clusterers. To deal with this problem, we propose an efficient label aligning algorithm. Then, a weighted voting algorithm is applied and a new mechanism with fitness