Risk of bias graph. حسب Kaiyu Zhang (198799)

"…With respect to the total effective rate, α-RBs+ needling was most likely to be the optimal treatment. …"

Results of network meta-analysis. حسب Kaiyu Zhang (198799)

"…With respect to the total effective rate, α-RBs+ needling was most likely to be the optimal treatment. …"

Characteristics of included studies. حسب Kaiyu Zhang (198799)

"…With respect to the total effective rate, α-RBs+ needling was most likely to be the optimal treatment. …"

Bayesian Spatial Binary Regression for Label Fusion in Structural Neuroimaging حسب D. Andrew Brown (6584837)

tUbenet Foundation Model Weights حسب Natalie Holroyd (7099391)

Optimising the number of sentinels to include in the population. حسب Francesca A. Lovell-Read (14378253)

The baseline case–the model in the absence of sentinel plants. حسب Francesca A. Lovell-Read (14378253)

An overview of the experimental paradigm. حسب Nienke E. R. van Bueren (11414330)

Proximal MCMC for Bayesian Inference of Constrained and Regularized Estimation حسب Xinkai Zhou (9346175)

"…Originally introduced in the Bayesian imaging literature, ProxMCMC employs the Moreau-Yosida envelope for a smooth approximation of the total-variation regularization term, fixes variance and regularization strength parameters as constants, and uses the Langevin algorithm for the posterior sampling. …"

Colored non-motorized lanes. حسب Xinchi Dong (18554525)

"…Subsequently, Bayesian Network (BN) structure learning algorithms were utilized to construct 32 BN models after pairing the accident data from the four accident cluster types before and after sampling. …"

Key factors for different accident clusters. حسب Xinchi Dong (18554525)

"…Subsequently, Bayesian Network (BN) structure learning algorithms were utilized to construct 32 BN models after pairing the accident data from the four accident cluster types before and after sampling. …"

Intelligent zebra crossing. حسب Xinchi Dong (18554525)

"…Subsequently, Bayesian Network (BN) structure learning algorithms were utilized to construct 32 BN models after pairing the accident data from the four accident cluster types before and after sampling. …"

Variables and their values. حسب Xinchi Dong (18554525)

"…Subsequently, Bayesian Network (BN) structure learning algorithms were utilized to construct 32 BN models after pairing the accident data from the four accident cluster types before and after sampling. …"

Pseudo Code of RBMO. حسب Chenyi Zhu (9383370)

"…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …"

P-value on CEC-2017(Dim = 30). حسب Chenyi Zhu (9383370)

"…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …"

Memory storage behavior. حسب Chenyi Zhu (9383370)

"…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …"

Elite search behavior. حسب Chenyi Zhu (9383370)

"…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …"

Description of the datasets. حسب Chenyi Zhu (9383370)

"…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …"

S and V shaped transfer functions. حسب Chenyi Zhu (9383370)

"…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …"

S- and V-Type transfer function diagrams. حسب Chenyi Zhu (9383370)

"…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …"