Algorithm parameter settings employed in the experiments on simulated data. by Liyan Sun (760586)

Subjects:

Dynamic window based median filtering algorithm. by Li Yuan (102305)

“…Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. …”

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. …”

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. …”

Image processing algorithm. by Madison Shoraka (22171205)

Chromosome coding. by Junjie He (700642)

Subjects:

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

Improved DAE based on LSTM. by Li Yuan (102305)

“…Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. …”

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

Physical Images Comparison Experiment. 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. …”

Digital Images Comparison Experiment. 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. …”

Pre-processing steps. by Yubraj Gupta (7465394)

Pre-optimization iteration process. 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. …”

Comparison Experiment with deep learning methods. 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. …”

Coding schematic. by Dongyan Wang (195482)

“…A genetic algorithm is designed to solve this model. To verify the effectiveness of the model, we select the contact network insulators of Chinese J Intercity Railway as the case study subject. …”

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

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

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

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)