心痛
发表于 2025-3-25 05:56:55
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BUOY
发表于 2025-3-25 09:07:49
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Ischemic-Stroke
发表于 2025-3-25 12:16:28
Computational Topology in Image Contextreal-world dataset and compare it to a sequential approach that first uses out-of-the-box ML to predict arrival rates and subsequently determines the according capacity using queuing models. We find that both data-driven approaches can significantly improve the performance compared to a naive benchm
sebaceous-gland
发表于 2025-3-25 17:57:07
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Semblance
发表于 2025-3-25 23:24:06
Nilanjana Karmakar,Arindam Biswasave their own characteristics. In this work, we provide a unified framework that provides a consistent approach for specifying cost models for different service offerings while being flexible enough to handle individual differences among them.
Progesterone
发表于 2025-3-26 02:44:18
Incentive-Based Rebalancing of Bike-Sharing Systems,hile incentives help improve bike availability in general throughout the system (i.e., better balance and service), offering too many incentives can in fact reduce total profit due to decreased marginal profit per ride.
沙草纸
发表于 2025-3-26 06:50:40
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实现
发表于 2025-3-26 08:45:29
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Aspiration
发表于 2025-3-26 14:51:57
Data-Driven Capacity Management with Machine Learning: A Novel Approach and a Case-Study for a Publreal-world dataset and compare it to a sequential approach that first uses out-of-the-box ML to predict arrival rates and subsequently determines the according capacity using queuing models. We find that both data-driven approaches can significantly improve the performance compared to a naive benchm
档案
发表于 2025-3-26 17:59:56
Harnessing Big Data and Analytics Solutions in Support of Smart City Services,support of big data and analytics technologies, we use city mobility services to demonstrate the great potential of the proposed integration and aggregation framework. Specifically, real time data from Citi Bike is collected, processed, and modeled. The developed prototype in support of city mobilit