Connection Science

Journal Article

A Blockchain-based federated learning framework for secure aggregation and fair incentives

Yang, XiaoHui; Li, TianChang

2024 Connection Science

doi:10.1080/09540091.2024.2316018

Federated Learning (FL) has gained prominence as a machine learning framework incorporating privacy-preserving mechanisms. However, challenges such as poisoning attacks and free rider attacks underscore the need for advanced security measures. Therefore, this paper proposes a novel framework...

Open Access

Journal Article

Hierarchical multi-instance multi-label learning for Chinese patent text classification

Liu, Yunduo; Xu, Fang; Zhao, Yushan; Ma, Zichen; Wang, Tengke;

2024 Connection Science

doi:10.1080/09540091.2023.2295818

To further enhance the accuracy of the Chinese patent classification, this paper proposes a model, based on the patent structure and takes the patent claim as subjects, with multi-instance multi-label learning as the main method. Firstly, the patent claims are divided into multiple independent...

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Journal Article

A novel framework for Chinese personal sensitive information detection

Ren, Chenglong; Lan, Xiao; Chen, Xingshu; Luo, Yonggang; Ruan, Shuhua

2024 Connection Science

doi:10.1080/09540091.2023.2298310

With the rapid development of social networks, the harm caused by the leakage of personal sensitive information is becoming increasingly serious. In order to detect and identify personal sensitive information, existing methods build matching rules to detect specific sensitive entities and use...

Open Access

Journal Article

SQL queries over encrypted databases: a survey

Sun, Bo; Zhao, Sen; Tian, Guohua

2024 Connection Science

doi:10.1080/09540091.2024.2323059

Limited by the local storage resource, data users have to encrypt their data and outsource the encrypted databases to cloud servers to enjoy low-cost, professional data management services, which promotes the rapid development of outsourcing database technology. Despite this, the complex...

Open Access

Journal Article

PS-GCN: psycholinguistic graph and sentiment semantic fused graph convolutional networks for personality detection

Liu, Wenjuan; Sun, Zhengyan; Wei, Subo; Zhang, Shunxiang; Zhu, Guangli;

2024 Connection Science

doi:10.1080/09540091.2023.2295820

Personality detection identifies personality traits in text. Current approaches often rely on deep learning networks for text representation but they overlook the significance of psychological language knowledge in connecting user language expression to psychological characteristics....

Open Access

Journal Article

A feature enhancement FCOS algorithm for dynamic traffic object detection

Zhou, Tuqiang; Liu, Wei; Li, Haoran

2024 Connection Science

doi:10.1080/09540091.2024.2321345

The development of object detection plays an important role in the realisation of fully autonomous driving, and the feature extraction is the key step for object detection. There has been significant difference and scale variation of object features for different road traffic participants...

Open Access

Journal Article

EIoU-distance loss: an automated team-wise player detection and tracking with jersey colour recognition in soccer

Thulasya Naik, Banoth; Hashmi, Mohammad Farukh; Gupta, Aditya

2024 Connection Science

doi:10.1080/09540091.2023.2291991

The surge in demand for advanced operations in sports video analysis has underscored the crucial role of multiple object tracking. This study addresses the escalating need for efficient and accurate player and referee identification in sports video analysis. The challenge of identity switching...

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Journal Article

A reputation-based dynamic reorganization scheme for blockchain network sharding

Zhang, Shuhui; Tian, Hanwen; Wang, Lianhai; Xu, Shujiang; Shao, Wei

2024 Connection Science

doi:10.1080/09540091.2024.2327438

While sharding technology helps solve performance bottlenecks in traditional blockchain networks, it also introduces new challenges. Random node allocation may lead to uneven distribution of malicious nodes, causing performance differences and security risks. Existing reputation-based sharding...

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Journal Article

Explainable data mining model for hyperinsulinemia diagnostics

Rankovic, Nevena; Rankovic, Dragica; Ivanovic, Mirjana; Lukic, Igor

2024 Connection Science

doi:10.1080/09540091.2024.2325496

In our research, we present a data mining model for the early diagnosis of hyperinsulinemia, potentially reducing the risk of diabetes, heart disease, and other chronic conditions. The dataset, gathered from 2019 to 2022 by Serbia's Healthcare Center through an observational cross-sectional...

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Journal Article

Cross-modal learning with multi-modal model for video action recognition based on adaptive weight training

Zhou, Qingguo; Hou, Yufeng; Zhou, Rui; Li, Yan; Wang, JinQiang;

2024 Connection Science

doi:10.1080/09540091.2024.2325474

The canonical video action recognition methods usually label categories with numbers or one-hot vectors and train neural networks to classify a fixed set of predefined categories, thereby constraining their ability to recognise complex actions and transferable ability to unseen concepts. In...

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