One advantage of our algorithm is that it is not binary in nature. حسب Yong Kuk Kim (13955214)

Algorithm for optimizing the model using transformer. حسب Weiling Liu (1465480)

Homomorphic binary tree. حسب Jianhua He (341366)

"…Experimental results show that the fusion of wavelet decomposition and reconstruction algorithm enhances the accuracy of the power electronic converter model and improves the performance of the system. …"

Equipment demand forecasting and procurement reserve optimization framework. حسب Qingbo Tu (22641033)

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Related Work Summary. حسب Hend Bayoumi (22693738)

Parameter settings. حسب Qingbo Tu (22641033)

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Stability and efficiency dimension. حسب Qingbo Tu (22641033)

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Inventory cost control dimension. حسب Qingbo Tu (22641033)

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Inventory operation efficiency dimension. حسب Qingbo Tu (22641033)

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Prediction accuracy dimension. حسب Qingbo Tu (22641033)

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Indicator settings. حسب Qingbo Tu (22641033)

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Robustness test results of distribution system in province A of China. حسب Qingbo Tu (22641033)

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Comparison of detection and prediction performance of different algorithm models in static scenes. حسب Shaowei Sun (13392160)

Parameters of each algorithm. حسب Nanqi Li (11640083)

Overall performance indicators of the algorithm model in this article for dynamic detection of traffic anomalies on highways. حسب Shaowei Sun (13392160)

Compares the optimization results. حسب Nanqi Li (11640083)

Dual-branch multilevel fusion module (DMFM). حسب Xicheng Sun (2104468)

"…<div><p>In response to the limitations of current infrared and visible light image fusion algorithms—namely insufficient feature extraction, loss of detailed texture information, underutilization of differential and shared information, and the high number of model parameters—this paper proposes a novel multi-scale infrared and visible image fusion method with two-branch feature interaction. …"

Before and after optimization design variables. حسب Nanqi Li (11640083)

A* Path-Finding Algorithm to Determine Cell Connections حسب Max Weng (22327159)

"…Future work aims to generalize this algorithm for broader biological applications by training additional Cellpose models and adapting the A* framework.…"

Random forest model performs better than support vector machine algorithms and when it primarily uses spontaneous photopic ERG of 60-s duration in humans. حسب Ramsés Noguez Imm (6658637)