Structure of the style prediction network. by Bei Huang (485021)

Structure of the style transfer network. by Bei Huang (485021)

Comparison of network training duration. by Bei Huang (485021)

The AUC of each model was calculated using 113 ML algorithm. by Xuefen Lin (17785367)

Runtime and sensitivity to of the iLV Algorithm using real datasets. by Yue Huang (285485)

Runtime and sensitivity to of the iLV Algorithm using simulated datasets. by Yue Huang (285485)

The comparison of results from the proposed architecture and state-of-the-art algorithms on the UNSW-B15, NSL-KDD and KDDCUP’99 dataset. by Abdullah Asım Yılmaz (20715311)

Receiver operating characteristic curves for different algorithms. by Yingying Liu (360782)

Overview of the TWRCI algorithm. by Eric V. Strobl (16854789)

Subjects:

Hair removal preprocessing using the DullRazor algorithm before image generation. by Mujung Kim (22367223)

Four factors and three levels of the experiment. by Ma Haohao (22177538)

“…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …”

Four factors and three levels of the experiment. by Ma Haohao (22177538)

“…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …”

Sammon error obtained using GA for metrics at the method level. by Yegor Bugayenko (15194643)

Sammon error obtained using GA for metrics at the class level. by Yegor Bugayenko (15194643)

Sammon error obtained using PSO for metrics at the method level. by Yegor Bugayenko (15194643)

Sammon error obtained using PSO for metrics at the class level. by Yegor Bugayenko (15194643)

Maximization of User’s Fairness in an imbalance-NOMA Network scenario with more far users, by means of multiple near-field Relays. by Mlandeli Ligwa (20979503)

“…Non-Orthogonal Multiple Access (NOMA) technology has been identified by others, as key elements for the realization of 5G networks; thus, the design of NOMA networks has recently gained popularity. …”

Parameters to configure the multi-staged vascularization using the PDCCO algorithm. by Eduardo G. Zilves (22209247)

Distribution of off-diagonal elements in the estimated precision matrix with hyperparameters: varying values (colors) and fixed = 0.80. by Aapo E. Korhonen (22530674)

False positives of the GLP-1 compound using both the MaM and MiM algorithms. by Paula Cifuentes (22050278)

Subjects: