Structure of the Kuhn-Munkres Algorithm. حسب Qingnan Ji (22662198)

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User satisfaction scores for different algorithms. حسب Qingnan Ji (22662198)

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Relevant Parameters. حسب Dongyan Wang (195482)

"…By comparing it with the traditional manual experience method, it is found that the approach proposed in this paper not only ensures the stable operation of intercity railways but also significantly reduces costs by approximately 13.6%. …"

The relevant data file for this article. حسب Linsha Liu (20378293)

Ablation experiment results comparison. حسب Qingnan Ji (22662198)

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Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code حسب Goutami Sooda (20714729)

Research data for paper: Efficient Event-based Delay Learning in Spiking Neural Networks حسب Balázs Mészáros (16890225)

"…<p dir="ltr">The data in this repository accompanies the paper 'Efficient Event-based Delay Learning in Spiking Neural Networks'</p><p dir="ltr">The data relates to 4 benchmarks:</p><ol><li>Spiking Heidelberg Digits (SHD).…"

Relevant computed image data. حسب Zhaoyu Ku (20660546)

The comparison experiment with state-of-the-art algorithms. حسب Manlin Zhu (21354237)

The comparison experiment of YOLO series algorithms. حسب Manlin Zhu (21354237)

Comparative results of each algorithm in comparative experiment. حسب Junhao Wei (6816803)

Iteration curves of different algorithms in comparison experiment. حسب Junhao Wei (6816803)

Relevant parameter settings for the algorithm proposed in the experiment. حسب Jinfeng Xiong (748277)

Data and code resources. حسب Sam Hall-McMaster (10343795)

Summary of relevant works. حسب Bashir Olaniyi Sadiq (22478011)

Ablation experiment results of different algorithm models. حسب Peng Xiong (1459000)

Data (3). حسب Qingnan Ji (22662198)

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The relevant code in the manuscript can be found in the supporting information data file. حسب Xini Fang (20861990)

Model-relevant variable data for external patients. حسب Lei Gao (6566)

Performance comparison experiments with mainstream object detection algorithms. حسب Dongshan Jiang (21866339)