Titlebook: Advanced Intelligent Computing Technology and Applications; 20th International C De-Shuang Huang,Xiankun Zhang,Jiayang Guo Conference proce

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etidronate

Grundlagen der Finanzwissenschafte testing faces. We also conduct voting from the CRC output to decide the label of the unknown face cubes. Experiments show that histogram of oriented gradients achieves 100% correct classification rate for the CMU-HSFD dataset and local binary patterns obtain 96.8% correct classification rate for the PolyU-HSFD dataset.

arousal

小平面

insidious

Cross-Project Software Defect Prediction Based on Feature Selection and Knowledge Distillationdels trained on source projects to target projects. These challenges hinder the effectiveness of CPDP. In this paper, we introduce a cross-project software defect prediction model based on feature selection and knowledge distillation (FSKDP) to overcome these limitations.

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Conference proceedings 2024 refereed proceedings of the 20th International Conference on Intelligent Computing, ICIC 2024, held in Tianjin, China, during August 5-8, 2024...The total of 863 regular papers were carefully reviewed and selected from 2189 submissions...This year, the conference concentrated mainly on the theories

联邦

Density

Promotion

Saliency Detection Based on a Novel Color Channel Volume and Background Likelihood Weightolor channel volume and obtain an initial salient map by removing the found background region. Finally, we proposed improved multimodal histogram thresholding to refine the initial salient map and further extract a final salient map. Experimental results on two public image datasets show that our ap

BLOT

Anomaly Detection of Transmission Line Large Metal Based on EGFPN-YOLO and UAVsmprovement in mAP50 detection accuracy from 68.3% to 79.4%, and an increase in mAP50-95 from 35.1% to 42.4%. These significant performance improvements make our method a more efficient solution for detecting abnormally large fittings in transmission lines.