占线
发表于 2025-3-27 00:25:44
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cornucopia
发表于 2025-3-27 04:40:31
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反感
发表于 2025-3-27 05:37:00
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Odyssey
发表于 2025-3-27 10:35:04
Towards Privacy-Preserving Travel-Time-First Task Assignment in Spatial Crowdsourcinghm to securely calculate the least common multiple (LCM) of every workers speed, based on which expensive division operation on ciphertexts can be avoided. We formally prove that our protocol is secure against semi-honest adversaries. Through extensive experiments over real datasets, we demonstrate
Sinus-Rhythm
发表于 2025-3-27 17:24:12
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抗生素
发表于 2025-3-27 18:32:54
Discussion on Fast and Accurate Sketches for Skewed Data Streams: A Case Studynlargement and hierarchy for accuracy, word acceleration and hash bit technique for speed play the central role in the improvement, but they also have limitations and side-effects. Other properties of working sketches such as deletion and generality are also discussed. Our discussions are supported
贫困
发表于 2025-3-27 22:58:54
Discussion on Fast and Accurate Sketches for Skewed Data Streams: A Case Studynlargement and hierarchy for accuracy, word acceleration and hash bit technique for speed play the central role in the improvement, but they also have limitations and side-effects. Other properties of working sketches such as deletion and generality are also discussed. Our discussions are supported
Malcontent
发表于 2025-3-28 04:40:50
Location Prediction in Social Networksring one year. The result shows that our joint model perform well, especially the content-based model. We find that our approach improves accuracy compared to the state-of-the-art location prediction algorithm.
Condense
发表于 2025-3-28 06:39:54
Location Prediction in Social Networksring one year. The result shows that our joint model perform well, especially the content-based model. We find that our approach improves accuracy compared to the state-of-the-art location prediction algorithm.
FACET
发表于 2025-3-28 14:05:29
Map Matching Algorithms: An Experimental EvaluationWe also report comprehensive findings obtained from the experiments and provide new insights about the strengths and weaknesses of existing map matching algorithms which can guide practitioners to select appropriate algorithms for various scenarios.