派博傳思國際中心

標題: Titlebook: Algorithms and Architectures for Parallel Processing; 21st International C Yongxuan Lai,Tian Wang,Aniello Castiglione Conference proceeding [打印本頁]

作者: Nixon    時間: 2025-3-21 18:01
書目名稱Algorithms and Architectures for Parallel Processing影響因子(影響力)




書目名稱Algorithms and Architectures for Parallel Processing影響因子(影響力)學科排名




書目名稱Algorithms and Architectures for Parallel Processing網(wǎng)絡(luò)公開度




書目名稱Algorithms and Architectures for Parallel Processing網(wǎng)絡(luò)公開度學科排名




書目名稱Algorithms and Architectures for Parallel Processing被引頻次




書目名稱Algorithms and Architectures for Parallel Processing被引頻次學科排名




書目名稱Algorithms and Architectures for Parallel Processing年度引用




書目名稱Algorithms and Architectures for Parallel Processing年度引用學科排名




書目名稱Algorithms and Architectures for Parallel Processing讀者反饋




書目名稱Algorithms and Architectures for Parallel Processing讀者反饋學科排名





作者: THROB    時間: 2025-3-21 20:25

作者: FIN    時間: 2025-3-22 03:37

作者: Exhilarate    時間: 2025-3-22 05:33
Versorgung und soziale Absicherungthe precision, recall, and average precision of the proposed model have been improved to varying degrees. It achieves 86.2% Precision, 98.4% Recall, and 90.8% Average Precision (AP), which is 7.96, 0.45, and 0.58 points higher than R-RetinaNet.
作者: 有害處    時間: 2025-3-22 10:10

作者: commune    時間: 2025-3-22 13:41

作者: Palpate    時間: 2025-3-22 19:01

作者: forthy    時間: 2025-3-22 22:36
GlowImp: Combining GLOW and?GAN for?Multivariate Time Series Imputationdimensionality of the inputs as a way of combatting the high computational costs associated with Glow models. The result is an imputation process with state-of-the-art accuracy (ROC), as demonstrated with two public datasets.
作者: 返老還童    時間: 2025-3-23 01:21
Error Serial Episodes Discovery from Mobile Payment Log in Distributed ETCperiments indicate that this method obtains a significant rule that . will cause the error event to occur. This rule, which is found in actual scenarios, will provide a basis for data analysis of the log, and it has been recognized by business experts from relevant institutions.
作者: prostate-gland    時間: 2025-3-23 06:18
,1. Teil Die GmbH im überblick,of data blocks. This work studies how to address the cache invalidation problem. We propose a two-phase parallel prefetching approach, which can effectively improve the cache invalidation when the compaction occurs. Our experimental results show our method can effectively improve read performance.
作者: Cabg318    時間: 2025-3-23 13:06

作者: 編輯才信任    時間: 2025-3-23 17:12

作者: Suggestions    時間: 2025-3-23 21:51

作者: 來自于    時間: 2025-3-23 23:52
TSAEns: Ensemble Learning for KPI Anomaly Detectionseries data of diverse characteristics according to the detector’s performance on historical data. Also, we combine active learning methods to propose unseen samples for labeling, which can significantly alleviate the labeling overhead of operators. Experimental results show the effectiveness of the proposed framework.
作者: 散布    時間: 2025-3-24 02:48
https://doi.org/10.1007/978-3-030-95384-3artificial intelligence; computer networks; computer security; computer vision; data communication syste
作者: jeopardize    時間: 2025-3-24 08:01

作者: Trabeculoplasty    時間: 2025-3-24 11:11

作者: creatine-kinase    時間: 2025-3-24 16:24

作者: AIL    時間: 2025-3-24 20:50
Buchführung, Rechnungslegung und Steuernto their real-life application. Therefore, recent researches in this field tend to focus on link/relation prediction techniques on KGs, but most of them merely learn KG embeddings from the central nodes’ neighbourhood in an absolute or unconditional way, fusing a great deal of weak or even useless i
作者: Infirm    時間: 2025-3-25 01:15

作者: 浪蕩子    時間: 2025-3-25 06:50
Versorgung und soziale Absicherungficient and infrastructure-free. Most existing indoor magnetic field-based positioning methods use the raw three-dimensional magnetic field strength obtained by the magnetic sensor built in smartphones. However, they have to overcome the problem of ambiguity that originates from the nature of geomag
作者: Priapism    時間: 2025-3-25 10:14
Bestellung des Gesch?ftsführersariational posterior distribution for each node to match the prior Gaussian distribution. During the matching process, different variational posterior distributions may intersect. The nodes located at the intersection are subjected to multiple variations which is not suitable for graph reconstructio
作者: PON    時間: 2025-3-25 12:51

作者: LITHE    時間: 2025-3-25 19:24
Beendigung der Gesch?ftsführerstellungTM, is proposed according to the temporal characteristics and position relationship of vehicle trajectory. The long-short memory neural network (LSTM) is used to predict the trajectory in the short term based on the characteristics of the vehicle‘s historical trajectory, and the trajectory predictio
作者: 非實體    時間: 2025-3-25 23:15

作者: 審問,審訊    時間: 2025-3-26 03:43

作者: 萬神殿    時間: 2025-3-26 06:37

作者: BURSA    時間: 2025-3-26 08:27
https://doi.org/10.1007/978-3-662-06520-4ty of artificial intelligence technologies. While previous researches can effectively generate adversarial examples in white-box attacks, it remains challenging to transfer these adversarial examples to black-box models, where the attacker has no knowledge about the model structure and parameters. T
作者: 使更活躍    時間: 2025-3-26 14:04

作者: Obligatory    時間: 2025-3-26 18:11

作者: 罐里有戒指    時間: 2025-3-27 00:18
,1. Teil Die GmbH im überblick,ch sequential writes through the design of a multilayer storage structure. However, as the core operation, the compaction inevitably results in degrading periodically in the read performance. Regular but irregular data compaction operations make the cache challenging to track the access information
作者: FEIGN    時間: 2025-3-27 04:41
https://doi.org/10.1007/978-3-662-61172-2lection confronts new challenges in the mobile environment due to the mobility, unpredictability, and variation of signal strength of mobile networks, since quality of service (QoS) is closely related to these factors. In this work, we aim to address the problem of mobile service selection for compo
作者: FLEET    時間: 2025-3-27 05:16

作者: 救護車    時間: 2025-3-27 11:53
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/153078.jpg
作者: 手銬    時間: 2025-3-27 15:43

作者: entreat    時間: 2025-3-27 20:31
Aufhebung und sonstige Beendigunglution module captures the time-series relationship. Finally, it is verified on two real data sets that our proposed model effectively extracts similarities, and the results show that the model is 40 % more accurate than traditional methods during peak hours.
作者: 昏迷狀態(tài)    時間: 2025-3-28 01:31

作者: 領(lǐng)帶    時間: 2025-3-28 02:55
Versorgung und soziale Absicherung 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
作者: fulcrum    時間: 2025-3-28 09:48

作者: 期滿    時間: 2025-3-28 14:13
https://doi.org/10.1007/3-540-30388-Xgrained subsegments to elaborately abstract subtle features. We propose a feature extraction technique based on adjacent difference (FETAD), and furthermore reduce its resulting dimension through the complete two-dimensional principal component analysis (C2DPCA). Finally, broad learning theory is em
作者: Ambulatory    時間: 2025-3-28 18:32
Versorgung und soziale Absicherung 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.
作者: JOG    時間: 2025-3-28 19:15
https://doi.org/10.1007/978-3-642-30926-7he 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
作者: 稀釋前    時間: 2025-3-29 00:32

作者: 寬度    時間: 2025-3-29 05:50
https://doi.org/10.1007/978-3-662-06521-1s 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
作者: 假裝是我    時間: 2025-3-29 09:12
https://doi.org/10.1007/978-3-662-61172-2tensive experiments are conducted and the experimental results show that the proposed approach can derive more optimized mobile service composition with acceptable scalability compared with the traditional approach and other baselines.
作者: endure    時間: 2025-3-29 14:23
https://doi.org/10.1007/978-3-540-75983-6ther 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
作者: MELD    時間: 2025-3-29 17:28

作者: MORPH    時間: 2025-3-29 21:08

作者: expansive    時間: 2025-3-30 02:14
CRFST-GCN: A Deeplearning Spatial-Temporal Frame to?Predict Traffic Flowlution module captures the time-series relationship. Finally, it is verified on two real data sets that our proposed model effectively extracts similarities, and the results show that the model is 40 % more accurate than traditional methods during peak hours.
作者: Keratin    時間: 2025-3-30 05:46

作者: Affable    時間: 2025-3-30 11:48
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
作者: Aggressive    時間: 2025-3-30 15:13

作者: COLIC    時間: 2025-3-30 19:46

作者: tenosynovitis    時間: 2025-3-30 21:50
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.
作者: 痛恨    時間: 2025-3-31 01:29
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
作者: 輕信    時間: 2025-3-31 08:37

作者: Obligatory    時間: 2025-3-31 11:12
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
作者: Incumbent    時間: 2025-3-31 16:43

作者: fibula    時間: 2025-3-31 20:09
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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