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Titlebook: Algorithms and Architectures for Parallel Processing; 21st International C Yongxuan Lai,Tian Wang,Aniello Castiglione Conference proceeding

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樓主: Nixon
51#
發(fā)表于 2025-3-30 11:48:13 | 只看該作者
Accurate Indoor Localization Using Magnetic Sequence Fingerprints with?Deep Learning automatically learn the mapping between ground-truth positions and magnetic sequence fingerprints. To demonstrate the effectiveness of our proposed method, we perform a comprehensive experimental evaluation on three real-world datasets, and the results show that the proposed approach can remarkably
52#
發(fā)表于 2025-3-30 15:13:53 | 只看該作者
53#
發(fā)表于 2025-3-30 19:46:14 | 只看該作者
54#
發(fā)表于 2025-3-30 21:50:11 | 只看該作者
Online Multiple Object Tracking Algorithm Based on Heat Map Propagation the spatio-temporal characteristic information of the one-stage detector. Experiments are carried out on MOT-17 and 2DMOT-15 which verifies that 43.27% and 63.7% improvement in tracking speed is obtained with a small accuracy compromise.
55#
發(fā)表于 2025-3-31 01:29:17 | 只看該作者
Spatio-Temporal Topology Routing Algorithm for Opportunistic Network Based on Self-attention Mechanihe Spatio-temporal characteristics of nodes in different snapshots are extracted. Finally, the similarity between nodes is calculated according to the Spatio-temporal characteristics extracted by nodes, so we propose a Spatio-temporal topology routing algorithm in opportunistic networks based on the
56#
發(fā)表于 2025-3-31 08:37:49 | 只看該作者
57#
發(fā)表于 2025-3-31 11:12:57 | 只看該作者
Temporal Convolution Network Based on Attention for Intelligent Anomaly Detection of Wind Turbine Bls TCN-ATT, a temporal convolution network based on attention mechanism, to intelligent anomaly detection of wind turbine blades by combining dilation convolution, causal convolution, the skip connection of residual blocks and attention module. In this method, causal convolution and dilation convolut
58#
發(fā)表于 2025-3-31 16:43:46 | 只看該作者
59#
發(fā)表于 2025-3-31 20:09:30 | 只看該作者
UPM-DMA: An Efficient Userspace DMA-Pinned Memory Management Strategy for?NVMe SSDsther explore different parameter settings to optimize system performance and memory space efficiency. Finally, we implement the overall strategy as a memory library named UPM libs and integrate it into the SPDK framework. The official benchmarks, SPDK perf, are adopted to evaluate our solution. The
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