Statistical metrics of objective function for DFIG-based wind turbine system. حسب Davut Izci (15927452)

Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. حسب Yuanchen Zhao (12905580)

الموضوعات:

Pipeline of the interactor algorithm. حسب Jose Cleydson F. Silva (8685594)

Results of searching performance of different algorithm models on the Sphere function and Griewank function. حسب Rui Zhang (13940)

Results of searching performance of the improved NAG algorithm on Sphere function and Griewank function. حسب Rui Zhang (13940)

The comparison results of all algorithms over 30 functions. حسب Adel Saad Assiri (9962517)

الموضوعات:

The comparison results of all algorithms over 30 functions. حسب Adel Saad Assiri (9962517)

الموضوعات:

Available functions in the phase-shifting package. حسب Raul Castañeda (13932971)

Available functions in the numerical propagation package. حسب Raul Castañeda (13932971)

Available functions in the phase reconstruction package. حسب Raul Castañeda (13932971)

Schematic of CoCoNet for identifying trait relevant tissue/cell type using information from gene co-expression networks. حسب Lulu Shang (8735736)

Curves of sigmoid functions used in our proposed algorithm. حسب Binh Thanh Dang (12368831)

Auto-tuning algorithm of the weight factors in the cost function. حسب Syed Umaid Ali (14486372)

Genomic sequence dataset of SARS-CoV-2 variants. حسب Dylan Lebatteux (17817041)

"…In this paper, we assess KEVOLVE, an approach based on a genetic algorithm with a machine-learning kernel, to identify multiple genomic signatures based on minimal sets of <i>k</i>-mers. …"

Imperialist competition algorithm with quasi-opposition-based learning for function optimization and engineering design problems حسب Dongge Lei (6836915)

الموضوعات: "…Imperialist competition algorithm…"

Greedy optimization algorithm. حسب Alexis Bénichou (19832361)

Average CPU time (s) of all the referenced algorithm on benchmark function. حسب Aihua Guo (13267712)

Box plots of different algorithms on CEC2017 test function. حسب Tengfei Ma (597633)

الموضوعات:

A CoCoNet model with a small <i>K</i> is often preferred than a CoCoNet model with a large <i>K</i> in real data sets. حسب Lulu Shang (8735736)

DataSheet1_A self-training subspace clustering algorithm based on adaptive confidence for gene expression data.PDF حسب Dan Li (106345)

"…The superiority of the proposed SSCAC algorithm is mainly reflected in the following aspects. 1) In order to improve the discriminative property of gene expression data, the low-rank representation with distance penalty is used to mine the potential subspace structure of data. 2) Considering the problem of mislabeling in self-training, a semi-supervised clustering objective function with label confidence is proposed, and a self-training subspace clustering framework is constructed on this basis. 3) In order to mitigate the negative impact of mislabeled data, an adaptive adjustment strategy based on gravitational search algorithm is proposed for label confidence. …"