Titlebook: Data Science; 10th International C Chengzhong Xu,Haiwei Pan,Zeguang Lu Conference proceedings 2024 The Editor(s) (if applicable) and The Au

不透氣

https://doi.org/10.1007/978-3-531-94182-0and stable operation. Traditional computer vision detection model have problems such as low detection efficiency, many missed detections and poor robustness. To address these problems, we propose a single-stage target detection model PDTNet, which can better extract defect features and can be better

喊叫

OASIS

abysmal

978-981-97-8748-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor

銼屑

Android Malware Detection Method Based on Machine Learning 80%, whereas the dynamic method achieves an accuracy of 91%. Through the utilization of software intention analysis and permission usage checks in combination, the accuracy rate can be further enhanced to 94%. Upon comparison of the different algorithms utilized in each detection method, it is conc

SHRIK

起波瀾

Personalized Novel Recommendation System Based on Filtering and Sentiment Analysisommendation system that incorporates sentiment analysis together with content-based recommendation and coordinated filtering. Tests were carried out on publicly available datasets and shown superior accuracy in comparison to cutting-edge techniques.

飛鏢

GROG

IPFS-DKRM: An Efficient Keyword Retrieval Model of IPFS Based on ART efficient retrieval services. In the simulation experiment, the index of open source data set Crosswikis was constructed, and the performance was analyzed based on the results of Siva data. The experimental results showed that compared with the Siva model, the response retrieval time of IPFS-DKRM w