The optimal number of sentinel plants to include in the sample depends on the sample size, sample interval and the total number of sentinels in the population. by Francesca A. Lovell-Read (14378253)

Melanoma Skin Cancer Detection Using Deep Learning Methods and Binary GWO Algorithm by Hussein Ali Bardan (21976208)

“…In this work, we propose a novel framework that integrates </p><p dir="ltr">Convolutional Neural Networks (CNNs) for image classification and a binary Grey Wolf Optimization (GWO) </p><p dir="ltr">algorithm for feature selection. …”

Bayesian network for BMV_OD model. by 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. …”

Bayesian network for BMV_C1 model. by 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. …”

Bayesian network for BMV_C3 model. by 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. …”

Bayesian network for BMV_C2 model. by 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. …”

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

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

Study flowchart. by Kaiyu Zhang (198799)

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

Risk of bias graph. by 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. by 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. by Kaiyu Zhang (198799)

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

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

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

datasheet1_Graph Neural Networks for Maximum Constraint Satisfaction.pdf by Jan Tönshoff (10192709)

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

Proximal MCMC for Bayesian Inference of Constrained and Regularized Estimation by 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. by 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. …”