ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

Overview of the new pre-training algorithms: Real-or-Fake Prediction (RFP) and Same-Sequence Prediction (SSP). by Eun-Jin Kim (305808)

Convergence curve of the DBO algorithm. 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. …”

Algorithms runtime comparison. by Meilin Zhu (688698)

“…Finally, the correctness of the model is analyzed through numerical experiments, and the effectiveness of the proposed algorithm, the joint distribution strategy, and the disruption event processing idea of combining immediate processing and scheduled batch processing is analyzed. …”

Averaged malware detection performance of the ByteEnc (BERT-small) pre-trained with the MLM algorithm, where NoPE and RePE indicate the relative positional embedding and No positio... by Eun-Jin Kim (305808)

Lung cancer CT images before and after pre-processing. by Md. Sabbir Hossain (9958939)

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Solution results of different algorithms. by Meilin Zhu (688698)

“…Finally, the correctness of the model is analyzed through numerical experiments, and the effectiveness of the proposed algorithm, the joint distribution strategy, and the disruption event processing idea of combining immediate processing and scheduled batch processing is analyzed. …”

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)

Pre-processing process of radar diagram. by Mengmeng Pan (6475064)

Pre-processing steps. by Yubraj Gupta (7465394)

Comparison of Edges with and without Pre-processing: by Anqi Chen (1950547)

Spatial variables selected for LULC modeling. by Firdissa Sadeta Tiye (21222102)

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Data pre-processing and identification of DEGs. by Ziyang Liu (242055)

MEA-BP neural network algorithm flowchart. by Dongling Ma (1269888)

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Pre-processing Result Graph for Both Types of Images: by Anqi Chen (1950547)

Workflow of our study to evaluate the performance of GNNs compared to benchmark algorithms. by Daniel Walke (21680915)

The pre-processing of CTG raw signals [26]. by Amin Ullah (12015113)

Processed results from ECG data with the P-T algorithm. by Daehyun Kwon (11985629)

Coati optimization algorithm for brain tumor identification based on MRI with utilizing phase-aware composite deep neural network by Rajesh Kumar Thangavel (20591164)

“…To execute this, the input image is pre-processed using Multivariate Fast Iterative Filtering (MFIF) and it reduces the occurrence of over-fitting from the collected dataset; then feature extraction using Self-Supervised Nonlinear Transform (SSNT) to extract essential features like model, shape, and intensity. …”

Upsampling network model architecture diagram. by Anqi Chen (1950547)

“…In this paper, we take Qiang embroidery patterns as an example due to containing fine-grained patterns, which is more suitable for the study of image processing and pattern recognition techniques. We firstly adopt appropriate pre-processing methods, improved adaptive median filtering(IAMF) and non-local mean for the two different types of Qiang embroidery patterns to reduce image noise. …”