Showing 821 - 840 results of 16,799 for search '"Prediction', query time: 0.11s Refine Results
  1. 821

    Dynamic Path Planning of Emergency Vehicles Based on Travel Time Prediction by Jiandong Zhao, Yujie Guo, Xiaohong Duan

    Published 2017-01-01
    “…And then, based on the real-time and historical data of travel speed, a new kernel clustering algorithm based on shuffled frog leaping algorithm is designed to predict the travel time. Secondly, combined with the expected travel time, the traffic congestion index is defined to measure the reliability of the route. …”
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  2. 822
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  4. 824

    Prediction of circRNA-miRNA Associations Based on Network Embedding by Wei Lan, Mingrui Zhu, Qingfeng Chen, Jianwei Chen, Jin Ye, Jin Liu, Wei Peng, Shirui Pan

    Published 2021-01-01
    “…The results show that this method has better prediction accuracy than other state-of-the-art methods.…”
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  5. 825

    Terrorist Group Behavior Prediction by Wavelet Transform-Based Pattern Recognition by Ze Li, Duoyong Sun, Bo Li, Zhanfeng Li, Aobo Li

    Published 2018-01-01
    “…Predicting terrorist attacks by group networks is an important but difficult issue in intelligence and security informatics. …”
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  6. 826
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    Practical Approach to Predicting the K0 Behavior of In Situ Sandy Gravel by Ming-Jie Jiang, Jun-Gao Zhu, En-yue Ji, Ying-qi Wei, Zhi-zhou Geng

    Published 2018-01-01
    “…Based on the test data of sandy gravel, a description of K0 considering scale effect as well as σv′ is proposed and an approach to predict the K0 behavior of sandy gravel in situ is obtained. …”
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  8. 828

    Predictive Factors of Development of Graves’ Ophthalmopathy for Patients with Juvenile Graves’ Disease by Dalia Jarusaitiene, Rasa Verkauskiene, Vytautas Jasinskas, Jurate Jankauskiene

    Published 2016-01-01
    “…Purposes. To identify predictive factors that may influence the development of GO in pediatric and young patients with Graves’ disease (GD). …”
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    Model Predictive Control of Robotic Grinding Based on Deep Belief Network by Shouyan Chen, Tie Zhang, Yanbiao Zou, Meng Xiao

    Published 2019-01-01
    “…The rigid-flexible coupling dynamics of robotic grinding is first established, on the basis of which a robotic grinding prediction model is constructed to predict the change of robotic grinding status and perform feed-forward control. …”
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  14. 834

    Emergence of Prediction by Reinforcement Learning Using a Recurrent Neural Network by Kenta Goto, Katsunari Shibata

    Published 2010-01-01
    “…The authors point out that it is important to acquire through learning not only the way of predicting future information, but also the purposive extraction of prediction target from sensor signals. …”
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  16. 836

    Fecal Elastase Levels Predict Honeycombing in Pancreas Detected with Endoscopic Ultrasound by Sinan Akay, Burcu Şirin, Belkıs Ünsal

    Published 2018-01-01
    “…Also, fecal elastase values can predict chronic changes in pancreas detected with endoscopic ultrasound.…”
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  17. 837

    Indonesian Government Revenue Prediction Using Long Short-Term Memory by Mahmud, Windu Gata, Hafifah Bella Novitasari, Sigit Kurniawan, Dedi Dwi Saputra

    Published 2024-06-01
    “…This study examines the appropriate method for predicting government revenue based on historical data from 2013 to 2022. …”
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  18. 838

    Maternal Postnatal Psychopathology Predicts Identity Diffusion in Young Adult Offspring by Jens Joas, Justine Hussong, Sena Aktürk, Kirstin Goth, Eva Möhler, Hannah Honecker-Gebauer

    Published 2024-12-01
    “…In the current study, its potential to predict a child’s impaired identity development is investigated. …”
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  19. 839

    Temporal-Spatial Traffic Flow Prediction Model Based on Prompt Learning by Siteng Cai, Gang Liu, Jing He, Yulun Du, Zhichao Si, Yunhao Jiang

    Published 2024-12-01
    Subjects: “…spatiotemporal traffic flow prediction…”
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  20. 840

    PreZon: Prediction by Zone and Its Application to Egg Productivity in Chickens by Yen-Jen Lin, Ming Li Liou, Wen Chuan Lee, Chuan Yi Tang

    Published 2012-01-01
    “…The first approach used predictions based on a single dataset, and the second approach used predictions based on the union of two datasets. …”
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