Titlebook: New Approaches for Multidimensional Signal Processing; Proceedings of Inter Roumen Kountchev,Rumen Mironov,Kazumi Nakamatsu Conference proc

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Discussion on the Establishment and Application of Intelligent Design Platform for Concrete Proportoncrete ratio design, which is an important carrier for the industrialization of concrete mix data and is of great significance to cost reduction and efficiency of engineering construction, as well as having great potential commercial value. For the application scenario of slab ballastless track, a

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Locally Adaptive Processing of Color Tensor Images Represented as Vector Fields,her with this, the brightness and the color hue of the processed image pixels, are retained. The characteristics of the proposed basic algorithms for contrast enhancement, linear and non-linear sharpness filtration, noise suppression, and texture segmentation, are defined. Some examples for locally-

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Hybrid Prediction Model for Mechanical Properties of Low Alloy Steel Based on SVR-MLP, prediction accuracy is very The final model is a hybrid model fusing SVR and MLP with high prediction accuracy, which is significantly better than the single prediction model, confirming the usefulness of the model fusion strategy in predicting the mechanical properties of low-alloy steel.

conference

Review of the Security Risks and Practical Concerns with Current and Future (6G) Communications Tec of concerns that might arise while employing next generation communication technologies, such as security and practical concerns. All of the physical layer‘s facts, which are crucial for implementation, were taken into account during the study. The conclusion of the study includes all the pertinent

TATE

The Application Value of Virtual Reality Navigation Combined with Rapid On-Site Evaluation in CT-Guand puncture length was recorded for all patients. The occurrence of intraoperative complications of lung puncture biopsy and secondary postoperative biopsies between the two groups of patients were also compared. There was no statistically significant difference between the two groups of patients i

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Music Personalized Recommendation System Based on Deep Learning,ntinuously. The MAE of this model is lower than other models, and it has a better recommendation effect. The reliability of the personalized music recommendation system established in this paper is verified.