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    Deterministic reservoir computing for chaotic time series prediction by Johannes Viehweg, Constanze Poll, Patrick Mäder

    Published 2025-05-01
    “…Abstract Reservoir Computing was shown in recent years to be useful as efficient to learn networks in the field of time series tasks. …”
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    Last-Mile Shuttle Planning for Improving Bus Commuters’ Travel Time Reliability: A Case Study of Beijing by Weibin Kou, Jiayu Wang, Yanxi Liu, Chenxu Li

    Published 2022-01-01
    “…This study proposes a multiobjective mixed integer nonlinear programming model for a last-mile shuttle service to improve bus commuters’ travel time reliability. The approach aims to assign the routes that pick up the transit passengers located at the different stops by shuttle service. …”
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    Computational Ghost Imaging with Multiplexed Time-Varying Signals by Panghe Qiu, Zhiyuan Ye, Zhichen Bai, Xin Liu, Su Bo

    Published 2020-01-01
    “…This study proposes two methods of optical watermarking based on multiplexed time-varying signals for computational ghost imaging using the Hadamard matrices. …”
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    Computing Idle Times in Fuzzy Flexible Job Shop Scheduling by Pablo García Gómez, Inés González-Rodríguez, Camino R. Vela

    Published 2025-03-01
    “…Considering processing times in the form of fuzzy numbers is a computationally affordable way to model uncertainty that enhances the applicability of obtained solutions. …”
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    Commuting behaviour and subjective wellbeing by Yinhua Tao

    Published 2023-05-01
    “…The upstream process of commuting changes pertains to the reason for people to (not) change their commuting behaviours, while the contextual understanding relates to the commuting-wellbeing relationship as time- and place-specific. …”
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