浪费时间
发表于 2025-3-23 12:34:18
Vorbereitungen für den Ernstfallast month, the corresponding data sets are constructed, and then the data are trained using the recurrent neural network model GRU to derive the passenger flow prediction results for the following week.
愤世嫉俗者
发表于 2025-3-23 15:17:43
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吞吞吐吐
发表于 2025-3-23 18:54:49
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易弯曲
发表于 2025-3-24 00:09:48
https://doi.org/10.1007/978-3-319-99954-8system’s optimization efficiency from multi-dimensional economic perspectives with its feasibility and efficacy solution. The validation results show that the proposed scheme has more convergence speed and robustness than the other comparative methods.
健壮
发表于 2025-3-24 06:06:44
Katarzyna Borowska,Jarosław Stepaniukintenance of unmanned vehicle formation in the leader-slave mode with a single leader. This method can provide a low-cost and high-reliability cooperative control scheme for large-scale unmanned vehicle formation performance.
Stricture
发表于 2025-3-24 10:21:11
Multi-constraints Face Detect-Track Systemning set of the sample, and then use the K Nearest Neighbor (KNN) algorithm for feature classification. In the optimization process, we use a threshold (.) for feature identification to select useful features. Finally, the 9 standard test data sets in UCI are used to verify the effectiveness of the QUATRE algorithm.
figurine
发表于 2025-3-24 11:08:16
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货物
发表于 2025-3-24 18:29:38
Research on Dynamic Passenger Flow Distribution of Rail Transit Based on Multi-dimensional Euclideanstination) data to obtain section passenger flow data. The result of dynamic passenger flow allocation can provide basic data for the passenger flow forecasting module on the one hand, and provide certain guidance for the planning and designing of rail transit on the other hand.
外向者
发表于 2025-3-24 22:40:27
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遭遇
发表于 2025-3-25 03:04:08
An Enhanced Flower Pollination Algorithm for Power System Economic Load Dispatchsystem’s optimization efficiency from multi-dimensional economic perspectives with its feasibility and efficacy solution. The validation results show that the proposed scheme has more convergence speed and robustness than the other comparative methods.