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Dynamic Spatio-temporal Access Queries using Semi ...
IEEE Xplore
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IEEE Xplore
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由 C Conlan 著作2023 — We develop a solution that uses semi-supervised machine learning to efficiently compute these aggregate access costs using a gravity-model.
Dynamic Spatio-temporal Access Queries using Semi- ...
IEEE Computer Society
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由 C Conlan 著作2023 — We develop a solution that uses semi-supervised machine learning to efficiently compute these aggregate access costs using a gravity-model.
WRAP-dynamic-spatio-temporal-access-queries ...
University of Warwick
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University of Warwick
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由 C Conlan 著作2023 — To solve the computational bottleneck, we develop a solution that uses semi-supervised machine learning to efficiently compute these aggregate access costs ...
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Dynamic Spatio-temporal Access Queries using Semi- ...
OUCI
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OUCI
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Dynamic Spatio-temporal Access Queries using Semi-Supervised Regression ; Journal: 2023 IEEE 39th International Conference on Data Engineering Workshops (ICDEW), ...
Teddy Cunningham
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Dynamic Spatio-temporal Access Queries using Semi-Supervised Regression. C Conlan, T Cunningham, H Ferhatosmanoglu. 2023 IEEE 39th International Conference on ...
Teddy Cunningham - Google 학술 검색
Google Scholar
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Dynamic Spatio-temporal Access Queries using Semi-Supervised Regression. C Conlan, T Cunningham, H Ferhatosmanoglu. 2023 IEEE 39th International Conference on ...
Chris Conlan's research works | The University of Warwick ...
ResearchGate
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ResearchGate
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Building a real-time spatio-temporal forecasting system is a challenging problem with many practical applications such as traffic and road network management.
Hakan Ferhatosmanoglu
University of Warwick
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University of Warwick
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2024年9月28日 — My research interests are in the areas of scalable data systems and analytics, spatial-temporal data management, and large-scale similarity search.
DPSTCN: Dynamic Pattern-Aware Spatio-Temporal ...
MDPI
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由 Z Dou 著作2024 — Temporally, the model introduces a novel temporal module, containing a temporal convolutional network (TCN) enriched with an enhanced pattern-aware self- ...