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pro vyhledávání: '"Wang, Linji"'
Adaptive Cache Management for Complex Storage Systems Using CNN-LSTM-Based Spatiotemporal Prediction
This paper proposes an intelligent cache management strategy based on CNN-LSTM to improve the performance and cache hit rate of storage systems. Through comparative experiments with traditional algorithms (such as LRU and LFU) and other deep learning
Externí odkaz:
http://arxiv.org/abs/2411.12161
The high cost of real-world data for robotics Reinforcement Learning (RL) leads to the wide usage of simulators. Despite extensive work on building better dynamics models for simulators to match with the real world, there is another, often-overlooked
Externí odkaz:
http://arxiv.org/abs/2409.19816
Akademický článek
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Autor:
Wang, Linji
In 2011, the Deep River Portage-Burns Waterway Watershed was identified as a priority in the Northwest Indiana watershed management framework by the Northwester Indiana Regional Planning Committee. 319 grant cost-share programs were initiated in effo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40b0c69415616bfcd5ec64173fcf8c63
Autor:
Wang, Linji, Newman, R., Newman, C., Jackson, L., Hofer, P., Wang, L, Newman, R K, Newman, C W, Jackson, L L, Hofer, P J
Publikováno v:
Plant Foods for Human Nutrition; 1993, Vol. 43 Issue 1, p9-17, 9p
Publikováno v:
Nutrition Research; January 1997, Vol. 17 Issue: 1 p77-88, 12p
Publikováno v:
The Journal of Nutrition; November 1992, Vol. 122 Issue: 11 p2292-2297, 6p