Efficiency of different consensus algorithms. حسب Jian Yun (19703997)

الموضوعات:

Algorithm parameter settings employed in the experiments on simulated data. حسب Liyan Sun (760586)

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The Pseudo-Code of the IRBMO Algorithm. حسب Chenyi Zhu (9383370)

"…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. …"

Code and data. حسب Shangyang Jin (21772466)

"…This strategy combines the design of experiments (DOE), genetic algorithm (GA), and NLPQL algorithm, which is referred to as the DGN method. …"

Data and code used in this article. حسب Yazhen Zhu (3595430)

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

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Greedy optimization algorithm. حسب Alexis Bénichou (19832361)

Data & code. حسب Mingming Li (502877)

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Optimization-Driven Steganographic System Based on Fused Maps and Blowfish Encryption حسب Ahmed Aljughaiman (21793526)

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data_code.zip حسب Mengmeng Gong (20129994)

"…In this study, we conduct an in-depth investigation of a novel adaptive covariance inflation algorithm (t-X) within the framework of an observation system simulation experiment (OSSE) based on anintermediate coupled model (ICM) and the Ensemble Adjustment KF(EAKF), aiming to develop a joint approach for optimizing both model parameters and initial fields simultaneously. …"

IOU values of four algorithms. حسب Hong Li (20183)

The details of experiment datasets. حسب Wei Xingqiong (21492703)

"…First, it requires a cutoff distance to calculate local density, and this parameter varies across datasets, which requires manual tuning and affects the algorithm’s performance. Second, the number of cluster centers must be manually specified, as the algorithm cannot automatically determine the optimal number of clusters, making the algorithm dependent on human intervention. …"

Parameter Settings for Comparative Experiments. حسب Wei Xingqiong (21492703)

"…First, it requires a cutoff distance to calculate local density, and this parameter varies across datasets, which requires manual tuning and affects the algorithm’s performance. Second, the number of cluster centers must be manually specified, as the algorithm cannot automatically determine the optimal number of clusters, making the algorithm dependent on human intervention. …"

File includes code "Transfer learning.R" and "updatebeta.cpp" for implementing transfer learning methods. حسب Lulu Pan (8977979)

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G R code algorithm. حسب R. Sakthivel (2589547)

"…The algorithm was developed and coded in Verilog and simulated using Modelsim. …"

S1 Code - حسب Jialiang Zhang (1574704)

"…After obtaining the fault features, a multi-fault classifier is designed based on the LSSVM. In order to improve the training speed and reduces storage, a simplified LSSVM model is used to construct the classifier, and the conjugate gradient algorithm is used for training. …"

QQESPM-GS - Codes and Data حسب Carlos Pontes (20835533)

"…<p dir="ltr">Codes and Data for the algorithms, methods and experiments presented in the paper titled "QQESPM-GS: an Efficient Solution for Geo-textual Search Parameterized by Graph-based Spatial Patterns".…"

Comparative experiment. حسب Bo Tong (2138632)

Pruning experiment. حسب Bo Tong (2138632)

Ablation experiment. حسب Bo Tong (2138632)