بدائل البحث:
significant prediction » significant reduction (توسيع البحث), significant predictor (توسيع البحث), significant predictive (توسيع البحث)
significant main » significant gap (توسيع البحث), significant amount (توسيع البحث), significant cause (توسيع البحث)
prediction based » prediction model (توسيع البحث)
main decrease » gain decreased (توسيع البحث), mean decrease (توسيع البحث), small decrease (توسيع البحث)
significant prediction » significant reduction (توسيع البحث), significant predictor (توسيع البحث), significant predictive (توسيع البحث)
significant main » significant gap (توسيع البحث), significant amount (توسيع البحث), significant cause (توسيع البحث)
prediction based » prediction model (توسيع البحث)
main decrease » gain decreased (توسيع البحث), mean decrease (توسيع البحث), small decrease (توسيع البحث)
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81
500m scale main data of each grid.
منشور في 2023"…Finally, in the context of scale differences, all types of coupling coordination degrees have significant sensitivity to the spatial scales. A large scale significantly reflects the overall decrease in the coupling coordination degrees from the core to the periphery, while a small scale shows the polycentric pattern characteristics of the urban spatial structure.…"
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82
1000m scale main data of each grid.
منشور في 2023"…Finally, in the context of scale differences, all types of coupling coordination degrees have significant sensitivity to the spatial scales. A large scale significantly reflects the overall decrease in the coupling coordination degrees from the core to the periphery, while a small scale shows the polycentric pattern characteristics of the urban spatial structure.…"
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83
2000m scale main data of each grid.
منشور في 2023"…Finally, in the context of scale differences, all types of coupling coordination degrees have significant sensitivity to the spatial scales. A large scale significantly reflects the overall decrease in the coupling coordination degrees from the core to the periphery, while a small scale shows the polycentric pattern characteristics of the urban spatial structure.…"
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84
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85
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86
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87
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88
MEG main effect of material: Word-faces.
منشور في 2019"…<p>(A) Main effect of material: word versus face condition irrespective of memory: significant clusters (<i>p</i><sub>corr</sub> < 0.05) returned by a cluster permutation statistic clustering across sensors, frequencies (“Freq”), and channels. …"
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89
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90
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91
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92
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93
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94
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95
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96
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97
Random Forest based prediction process.
منشور في 2025"…To address this, the study focuses on the Lotschental catchment in Switzerland, conducting a comprehensive comparison between deep learning and ensemble-based models. Given the significant autocorrelation in runoff time series data, which may hinder the evaluation of prediction models, a novel statistical method is employed to assess the effectiveness of forecasting models in detecting turning points in the runoff data. …"
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98
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99
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100