Distance matrix from pairwise comparisons of behavior sequences of the two cichlid species <i>Neolamprologus multifasciatus</i> and <i>Lamprologus ocellatus</i> (S4–S17 Datasets),... by Nicolai Kraus (19949667)

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S1 Data - A GNSS receiver positioning algorithm based on weighting the statistical properties of discontinuous signals at lower rotation speeds by Jiahui Gan (22793753)

“…Weighted Kalman Filter Algorithm in C Code. S3 File. NavSolveKalman.h. Weighted Kalman Filter Algorithm in C Code. …”

Oresme by Mehmet Keçeci (14301782)

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Data&Codes.rar by anonymous author (20478659)

Table 1_Establishment of reliable identification algorithms for acute heart failure or acute exacerbation of chronic heart failure using clinical data from a medical information database network.pdf by Ryusuke Inoue (4617505)

“…The highest sensitivity at 89.53% was observed for Algorithm 9. This algorithm was constructed using a combination of disease codes entered in electronic medical records, DPC, or health insurance claims data, abnormal BNP values in the moderate or high range (≥100 pg/mL), and medications for acute heart failure. …”

All Code and MoCap data for Cutaneous Rectilinear Algorithm tests by Henry Astley (22155685)

Scatter diagram of different principal elements. by Jizhong Wang (7441697)

“…<div><p>A fault diagnosis method for oil immersed transformers based on principal component analysis and SSA LightGBM is proposed to address the problem of low diagnostic accuracy caused by the complexity of current oil immersed transformer faults. Firstly, data on dissolved gases in oil is collected, and a 17 dimensional fault feature matrix is constructed using the uncoded ratio method. …”

ASTCT_data & code by Ju Peng (13922445)

MD5 signature for a whole file by Paul A. Gagniuc (1818325)

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The structure of the NANEAT model corresponds to the optimal species genome. by Wenbing Shi (5806160)

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The structural mutation of neuroevolution. by Wenbing Shi (5806160)

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Evaluation indexes of different methods on the test set. by Wenbing Shi (5806160)

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The speciation of ANEAT model evolution. by Wenbing Shi (5806160)

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The analysis of feature importance. by Wenbing Shi (5806160)

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The parameter setting of the evolutionary neural network. by Wenbing Shi (5806160)

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The fitness of ANEAT model evolution. by Wenbing Shi (5806160)

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The structure of the ANEAT model corresponds to the optimal species genome. by Wenbing Shi (5806160)

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The construction process of the CGO prediction model. by Wenbing Shi (5806160)

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The comparison of different prediction methods on the test set. by Wenbing Shi (5806160)

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The genome recombination of neuroevolution. by Wenbing Shi (5806160)

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