Výsledky vyhledávání - "Koshizuka, Noboru"

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CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions toward Public Events

Autor: Yang, Xiaojie, Ge, Hangli, Wang, Jiawei, Fan, Zipei, Jiang, Renhe, Shibasaki, Ryosuke, Koshizuka, Noboru

Large-scale human mobility exhibits spatial and temporal patterns that can assist policymakers in decision making. Although traditional prediction models attempt to capture these patterns, they often interfered by non-periodic public events, such as

Externí odkaz: http://arxiv.org/abs/2412.02155

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Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation

Autor: Wang, Jiawei, Jiang, Renhe, Yang, Chuang, Wu, Zengqing, Onizuka, Makoto, Shibasaki, Ryosuke, Koshizuka, Noboru, Xiao, Chuan

This paper introduces a novel approach using Large Language Models (LLMs) integrated into an agent framework for flexible and effective personal mobility generation. LLMs overcome the limitations of previous models by effectively processing semantic

Externí odkaz: http://arxiv.org/abs/2402.14744

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Efficient Compressed Ratio Estimation Using Online Sequential Learning for Edge Computing

Autor: Oikawa, Hiroki, Ge, Hangli, Koshizuka, Noboru

Owing to the widespread adoption of the Internet of Things, a vast amount of sensor information is being acquired in real time. Accordingly, the communication cost of data from edge devices is increasing. Compressed sensing (CS), a data compression m

Externí odkaz: http://arxiv.org/abs/2211.04284

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