Plot comparing the circular tracking errors of the three algorithms. by Xiaosong Liu (66661)

Plot comparing the circular angle tracking performances of the three algorithms. by Xiaosong Liu (66661)

Graph showing the tracking errors of the three control algorithms under noise. by Xiaosong Liu (66661)

Chart showing the target tracking performances of the three control algorithms under noise. by Xiaosong Liu (66661)

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

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The Pseudo-Code of the IRBMO Algorithm. by 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. by 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. by Yazhen Zhu (3595430)

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

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Greedy optimization algorithm. by Alexis Bénichou (19832361)

Data & code. by Mingming Li (502877)

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

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data_code.zip by 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. …”

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

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

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

S1 Code - by 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 by 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".…”

Performance comparison of MFPSP with existing predictors on independent test data. by Chao Wang (146527)

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Maple code for algorithm 3. by Peter Thompson (165468)

Coding schematic. by Dongyan Wang (195482)

“…A genetic algorithm is designed to solve this model. To verify the effectiveness of the model, we select the contact network insulators of Chinese J Intercity Railway as the case study subject. …”