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A reputation-based dynamic reorganization scheme for blockchain network sharding Connect. Sci. (IF 5.3) Pub Date : 2024-03-12 Shuhui Zhang, Hanwen Tian, Lianhai Wang, Shujiang Xu, Wei Shao
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 malici...
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A novel Knowledge Graph recommendation algorithm based on Graph Convolutional Network Connect. Sci. (IF 5.3) Pub Date : 2024-03-12 Hui Guo, Chengyong Yang, Liqing Zhou, Shiwei Wei
Knowledge Graphs (KGs) are widely used in many fields of application, and especially play an essential role in recommendation systems. KGs often need to be complete, missing relationships between u...
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A feature enhancement FCOS algorithm for dynamic traffic object detection Connect. Sci. (IF 5.3) Pub Date : 2024-03-01 Tuqiang Zhou, Wei Liu, Haoran Li
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 significa...
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SQL queries over encrypted databases: a survey Connect. Sci. (IF 5.3) Pub Date : 2024-03-05 Bo Sun, Sen Zhao, Guohua Tian
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 p...
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Explainable data mining model for hyperinsulinemia diagnostics Connect. Sci. (IF 5.3) Pub Date : 2024-03-04 Nevena Rankovic, Dragica Rankovic, Mirjana Ivanovic, Igor Lukic
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, gat...
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Few-shot segmentation based on multi-level and cross-scale clustering Connect. Sci. (IF 5.3) Pub Date : 2024-02-29 Shuai Yuan, Junhai Qiu, Hongxia Xu, Yan Zhang, Jiaxing Zhang
The problem of image segmentation with few-shot learning is addressed in this paper, which is a challenging task due to the lack of sufficient high-precision annotated data. A novel method that con...
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FastPFM: a multi-scale ship detection algorithm for complex scenes based on SAR images Connect. Sci. (IF 5.3) Pub Date : 2024-02-19 Wei Wang, Dezhi Han, Chongqing Chen, Zhongdai Wu
Synthetic Aperture Radar (SAR) is renowned for its all-weather capabilities, exceptional penetration, and high-resolution imaging, making SAR-based ship detection crucial for maritime surveillance ...
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A Blockchain-based federated learning framework for secure aggregation and fair incentives Connect. Sci. (IF 5.3) Pub Date : 2024-02-21 XiaoHui Yang, TianChang Li
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 under...
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Monocular 3D object detection with thermodynamic loss and decoupled instance depth Connect. Sci. (IF 5.3) Pub Date : 2024-02-13 Gang Liu, Xiaoxiao Xie, Qingchen Yu
Monocular 3D detection is to obtain the 3D information of the object from the image. The mainstream methods mainly use L1 loss or L1-like loss to control the instance depth prediction. However, the...
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Dynamic fuzz testing of UAV configuration parameters based on dual guidance of fitness and coverage Connect. Sci. (IF 5.3) Pub Date : 2024-02-14 Yuexuan Ma, Xiao Yu, Li Zhang, Zhao Li, Yuanzhang Li, Yu-an Tan
ArduCopter's configuration parameter verification defects may cause the Unmanned Aerial Vehicle (UAV) in abnormal status. However, traditional UAV configuration parameter defect detection methods b...
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TSCAPE: time series clustering with curve analysis and projection on an Euclidean space Connect. Sci. (IF 5.3) Pub Date : 2024-02-14 Jeremy Renaud, Raphaël Couturier, Christophe Guyeux, Benoit Courjal
The ever-growing use of digital systems has led to the accumulation of vast datasets, particularly time series, depicting the temporal evolution of variables and systems. Analysing these time serie...
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Detecting unknown vulnerabilities in smart contracts using opcode sequences Connect. Sci. (IF 5.3) Pub Date : 2024-02-14 Peiqiang Li, Guojun Wang, Xiaofei Xing, Xiangbin Li, Jinyao Zhu
Unknown vulnerabilities, also known as zero-day vulnerabilities, are vulnerabilities in software, systems, or networks that have not yet been publicly disclosed or fixed. If these vulnerabilities a...
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Contour wavelet diffusion – a fast and high-quality facial expression generation model Connect. Sci. (IF 5.3) Pub Date : 2024-02-14 Chenwei Xu, Yuntao Zou
Facial expressions are important for conveying information in human interactions. The diffusion model can generate high-quality images for clearer and more discriminative faces, but its training an...
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Night construction site detection based on ghost-YOLOX Connect. Sci. (IF 5.3) Pub Date : 2024-02-14 Han Guijin, Wang Ruixuan, Xu WuYan, Li Jun
Existing target detection algorithms, when applied to night-time site monitoring, are limited by site hardware conditions, lighting conditions, fuzzy and small targets to be detected, etc., which m...
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Lightweight network for insulator fault detection based on improved YOLOv5 Connect. Sci. (IF 5.3) Pub Date : 2024-02-09 Dehua Weng, Zhiliang Zhu, Zhengbing Yan, Moran Wu, Ziang Jiang, Nan Ye
Severe damage to insulators can hinder the daily operation of the power system. Current fault diagnosis methods heavily depend on manual visual inspection, leading to inefficiency and inaccuracies....
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Estimating electricity consumption at city-level through advanced machine learning methods Connect. Sci. (IF 5.3) Pub Date : 2024-02-09 Arpad Gellert, Lorena-Maria Olaru, Adrian Florea, Ileana-Ioana Cofaru, Ugo Fiore, Francesco Palmieri
An effective energy management system relies on the accurate prediction of electricity consumption, facilitating energy suppliers to optimise energy distribution, reduce energy waste, and avoid ove...
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EIoU-distance loss: an automated team-wise player detection and tracking with jersey colour recognition in soccer Connect. Sci. (IF 5.3) Pub Date : 2024-02-03 Banoth Thulasya Naik, Mohammad Farukh Hashmi, Aditya Gupta
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 accurat...
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AICOM-MP: an AI-based monkeypox detector for resource-constrained environments Connect. Sci. (IF 5.3) Pub Date : 2024-02-06 Tianyi Yang, Tianze Yang, Andrew Liu, Na An, Shaoshan Liu, Xue Liu
Under the Autonomous Mobile Clinics (AMCs) initiative, the AI Clinics on Mobile (AICOM) project is developing, open sourcing, and standardising health AI technologies on low-end mobile devices to e...
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An image encryption algorithm based on multi-layered chaotic maps and its security analysis Connect. Sci. (IF 5.3) Pub Date : 2024-02-03 Erdal Güvenoğlu
This study introduces a novel symmetric image encryption algorithm that employs a multi-layered architecture of chaotic maps, incorporating both confusion and diffusion components. The selected cha...
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How COVID-19 impacts telehealth: an empirical study of telehealth services, users and the use of metaverse Connect. Sci. (IF 5.3) Pub Date : 2024-02-01 Lihong Tang, Tingmin Wu, Xiao Chen, Sheng Wen, Wei Zhou, Xiaogang Zhu, Yang Xiang
Since the outbreak of the coronavirus 2019 (COVID-19) pandemic, telehealth services are regarded as a good approach to keep health workers and patients safe while simultaneously managing available ...
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Knowledge enhancement for speech emotion recognition via multi-level acoustic feature Connect. Sci. (IF 5.3) Pub Date : 2024-02-01 Huan Zhao, Nianxin Huang, Haijiao Chen
Speech emotion recognition (SER) has become an increasingly attractive machine learning task for domain applications. It aims to improve the discriminative capacity of speech emotion utilising a ce...
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Bypassing software-based remote attestation using debug registers Connect. Sci. (IF 5.3) Pub Date : 2024-01-25 Zheng Zhang, Jingfeng Xue, Tianshi Mu, Ting Yu, Kefan Qiu, Tian Chen, Yuanzhang Li
Remote attestation (RA) is an essential feature in many security protocols to verify the memory integrity of remote embedded devices susceptible to malware infections. The attestation process needs...
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A long-short dual-mode knowledge distillation framework for empirical asset pricing models in digital financial networks Connect. Sci. (IF 5.3) Pub Date : 2024-01-25 Yuanyuan Yi, Kai Cui, Minghua Xu, Lingzhi Yi, Kun Yi, Xinlei Zhou, Shenghao Liu, Gefei Zhou
The continuous combination of digital network technology and traditional financial services has given birth to digital financial networks, which explore massive economic data under the AI-driven mo...
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A multi-feature stock price prediction model based on multi-feature calculation, LASSO feature selection, and Ca-LSTM network Connect. Sci. (IF 5.3) Pub Date : 2024-01-19 Xiao Chen, Lei Cao, Zhi Cao, HongWei Zhang
This paper addresses the crucial realm of stock price prediction, highly coveted by individual investors and institutions for its substantial economic implications. The inherent non-stationary and ...
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Blockchain-based privacy-preserving multi-tasks federated learning framework Connect. Sci. (IF 5.3) Pub Date : 2024-01-08 Yunyan Jia, Ling Xiong, Yu Fan, Wei Liang, Neal Xiong, Fengjun Xiao
Federated learning (FL), as an effective method to solve the problem of “data island”, has become one of the hot and widespread concern topics in recent years. However, with the using of FL technol...
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AWDS-net: automatic whole-field segmentation network for characterising diverse breast masses Connect. Sci. (IF 5.3) Pub Date : 2024-01-08 Jiajia Jiao, Yingzhao Chen, Zhiyu Li, Tien-Hsiung Weng
Diverse breast masses in size, shape and place make accurate image segmentation more challenging in a unified deep-learning network. Therefore, based on the U-net network, an adaptive automatic who...
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A study on the traceable attribute-based signature scheme provided with anonymous credentials Connect. Sci. (IF 5.3) Pub Date : 2024-01-08 Yong Woon Hwang, Taehoon Kim, Daehee Seo, Im-Yeong Lee
In order to provide the reliability of transmitted data in the era of big data, it is necessary to communicate by applying signature technology to data. There are various signature schemes, among w...
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A novel framework for Chinese personal sensitive information detection Connect. Sci. (IF 5.3) Pub Date : 2024-01-03 Chenglong Ren, Xiao Lan, Xingshu Chen, Yonggang Luo, Shuhua Ruan
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 ...
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GCN-based weakly-supervised community detection with updated structure centres selection Connect. Sci. (IF 5.3) Pub Date : 2024-01-03 Liping Deng, Bing Guo, Wen Zheng
Community detection is a classic problem in network learning. Semi-supervised network learning requires a certain amount of known samples, while sample annotation is time-consuming and laborious. I...
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Hierarchical multi-instance multi-label learning for Chinese patent text classification Connect. Sci. (IF 5.3) Pub Date : 2024-01-03 Yunduo Liu, Fang Xu, Yushan Zhao, Zichen Ma, Tengke Wang, Shunxiang Zhang, Yuhao Tian
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-la...
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Weighted meta-graph based mobile application recommendation through matrix factorisation and neural networks Connect. Sci. (IF 5.3) Pub Date : 2023-12-30 Fenfang Xie, Angyu Zheng, Liang Chen, Zibin Zheng, Mingdong Tang
Numerous mobile applications (apps) with different functions meet the various needs of users, but users have to spend a lot of time selecting suitable mobile apps. How to select relevant mobile app...
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PS-GCN: psycholinguistic graph and sentiment semantic fused graph convolutional networks for personality detection Connect. Sci. (IF 5.3) Pub Date : 2023-12-30 Wenjuan Liu, Zhengyan Sun, Subo Wei, Shunxiang Zhang, Guangli Zhu, Lei Chen
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 lang...
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Predicting adolescent violence in Wartegg-ZeichenTest drawing images based on deep learning Connect. Sci. (IF 5.3) Pub Date : 2023-12-26 Kyung-yeul Kim, Young-bo Yang, Mi-ra Kim, Ji Su Park, Jihie Kim
This thesis deals with the problem of negative behaviour due to changes in mental and physical stress in adolescence. In particular, it is a study to solve the health care problem of students expos...
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Exploring graph representation strategies for text classification Connect. Sci. (IF 5.3) Pub Date : 2023-12-21 Henrique Varella Ehrenfried, Vinicius Tikara Venturi Date, Eduardo Todt
Since 2005, the deep learning community has had access to input graphs to their models. So, the natural language processing (NLP) community started using this technique to process text. However, a ...
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Exploring the NFT market on ethereum: a comprehensive analysis and daily volume forecasting Connect. Sci. (IF 5.3) Pub Date : 2023-12-14 Mingdong Tang, Xingyu Feng, Weili Chen
With the popularity of Non-Fungible Tokens (NFTs), which has now become a financial market that has attracted extensive attention worldwide. A large number of investors and creators are flocking to...
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DOE: a dynamic object elimination scheme based on geometric and semantic constraints Connect. Sci. (IF 5.3) Pub Date : 2023-12-14 Yanli Liu, Siyi Chen, Heng Zhang, Neal N. Xiong, Wei Liang
In this paper, we propose a dynamic object elimination algorithm that combines semantic and geometric constraints to address the problem of visual SLAM being easily affected by dynamic feature poin...
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Emotion recognition based on convolutional gated recurrent units with attention Connect. Sci. (IF 5.3) Pub Date : 2023-12-09 Zhu Ye, Yuan Jing, Qinghua Wang, Pengrui Li, Zhihong Liu, Mingjing Yan, Yongqing Zhang, Dongrui Gao
Studying brain activity and deciphering the information in electroencephalogram (EEG) signals has become an emerging research field, and substantial advances have been made in the EEG-based classif...
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Reconstructing higher-resolution four-dimensional time-varying volumetric data Connect. Sci. (IF 5.3) Pub Date : 2023-12-08 Ji Ma, Jinjin Chen
We have witnessed substantial growth in super-resolution research within the computer vision community. Unlike previous works that mainly focus on the super-resolution synthesis of images, videos, ...
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IIM: an information interaction mechanism for aspect-based sentiment analysis Connect. Sci. (IF 5.3) Pub Date : 2023-12-02 Le Chen, Lina Ge, Wei Zhou
Term polarity co-extraction is an aspect-based sentiment analysis task, which has been widely used in the fields of user opinions extraction. It consists of two subtasks: aspect term extraction and...
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Automated threat modelling and risk analysis in e-Government using BPMN Connect. Sci. (IF 5.3) Pub Date : 2023-12-02 Daniele Granata, Massimiliano Rak, Giovanni Salzillo, Giacomo Di Guida, Salvatore Petrillo
Recent progress integrates security requirements into BPMN, enhancing its framework. Extensions aim to seamlessly embed security concepts, yet the inherent ambiguity of security terms may lead to m...
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Security situational awareness of power information networks based on machine learning algorithms Connect. Sci. (IF 5.3) Pub Date : 2023-11-27 Chao Wang, Jia-han Dong, Guang-xin Guo, Tian-yu Ren, Xiao-hu Wang, Ming-yu Pan
To properly predict the security posture of these networks, we provide a method based on machine learning algorithms to detect the security condition of power information networks. A perception mod...
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A multi-factorial evolutionary algorithm concerning diversity information for solving the multitasking Robust Influence Maximization Problem on networks Connect. Sci. (IF 5.3) Pub Date : 2023-11-16 Minghao Chen, Shuai Wang, Jiazhong Zhang
In recent years, one of the prominent research areas in the complex network field has been the Influence Maximization Problem. This problem focuses on selecting seed sets to achieve optimal informa...
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Time anomaly detection in the duration of civil trials in Italian justice Connect. Sci. (IF 5.3) Pub Date : 2023-11-16 Antonio Esposito, Beniamino Di Martino, Rosario Ammendolia, Pietro Lupi, Massimo Orlando, Wei Liang
Through the digitalisation of Civil Trials and the implementation of the Telematic Civil Process framework, the Italian Ministry of Justice has amassed a wealth of data covering all facets of moder...
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UAV mission scheduling with completion time, flight distance, and resource consumption constraints Connect. Sci. (IF 5.3) Pub Date : 2023-11-10 Keqin Li
Unmanned aerial vehicles (UAVs) are widely used in various military and civilian applications. UAV mission scheduling is a key issue in UAV applications and a central topic in UAV research. UAV tas...
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ScTCN-LightGBM: a hybrid learning method via transposed dimensionality-reduction convolution for loading measurement of industrial material Connect. Sci. (IF 5.3) Pub Date : 2023-11-09 Zihua Chen, Runmei Zhang, Zhong Chen, Yu Zheng, Shunxiang Zhang
Dynamic measurement via deep learning can be applied in many industrial fields significantly (e.g. electrical power load and fault diagnosis acquisition). Nowadays, accurate and continuous loading ...
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Evaluating machine and deep learning techniques in predicting blood sugar levels within the E-health domain Connect. Sci. (IF 5.3) Pub Date : 2023-11-09 Beniamino Di Martino, Antonio Esposito, Gennaro Junior Pezzullo, Tien-Hsiung Weng
This paper focuses on exploring and comparing different machine learning algorithms in the context of diabetes management. The aim is to understand their characteristics, mathematical foundations, ...
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Accelerating AI performance with the incorporation of TVM and MediaTek NeuroPilot Connect. Sci. (IF 5.3) Pub Date : 2023-10-30 Chao-Lin Lee, Chun-Ping Chung, Sheng-Yuan Cheng, Jenq-Kuen Lee, Robert Lai
The continuing prominence of machine learning has led to an increased focus on enhancing the inference performance of edge devices to reduce latency and improve efficiency. Two widely adopted strat...
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On routing algorithms in the internet of vehicles: a survey Connect. Sci. (IF 5.3) Pub Date : 2023-10-27 Arundhati Sahoo, Asis Kumar Tripathy
Internet of Vehicles (IoV) provides an overview of the Internet of Things (IoT) and the Internet of Everything (IoE). Generally, it connects the different items, Vehicles, and Environments, which t...
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The algorithm and implementation of an extension to LLVM for solving the blocking between instruction sink and division-modulo combine Connect. Sci. (IF 5.3) Pub Date : 2023-10-30 YungYu Zhuang, Ting-Wei Lin, Yin-Jung Huang
Compiler optimization presents a formidable challenge, seeking to enhance code quality through various techniques. One significant obstacle is the phase-ordering problem, where the sequence of opti...
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Fidan: a predictive service demand model for assisting nursing home health-care robots Connect. Sci. (IF 5.3) Pub Date : 2023-10-27 Feng Zhou, Xin Du, WenLi Li, Zhihui Lu, Shih-Chia Huang
While population aging has sharply increased the demand for nursing staff, it has also increased the workload of nursing staff. Although some nursing homes use robots to perform part of the work, s...
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Counting and measuring the size and stomach fullness levels for an intelligent shrimp farming system Connect. Sci. (IF 5.3) Pub Date : 2023-10-18 Yu-Kai Lee, Bo-Yi Lin, Tien-Hsiung Weng, Chien-Kang Huang, Chen Liu, Chih-Chin Liu, Shih-Shun Lin, Han-Ching Wang
The penaeid shrimp farming industry is experiencing rapid growth. To reduce costs and labour, automation techniques such as counting and size estimation are increasingly being adopted. Feeding base...
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CFSE: a Chinese short text classification method based on character frequency sub-word enhancement Connect. Sci. (IF 5.3) Pub Date : 2023-10-06 Xingguang Wang, Shunxiang Zhang, Zichen Ma, Yunduo Liu, Youqiang Zhang
As a foundation task of natural language processing, text classification is widely used in information retrieval, public opinion analysis, and other related tasks. Facing the problem of sparse feat...
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Comparative relation mining of customer reviews based on a hybrid CSR method Connect. Sci. (IF 5.3) Pub Date : 2023-10-06 Song Gao, Hongwei Wang, Yuanjun Zhu, Jiaqi Liu, Ou Tang
Online reviews contain comparative opinions that reveal the competitive relationships of related products, help identify the competitiveness of products in the marketplace, and influence consumers’...
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High-performance computing for static security assessment of large power systems Connect. Sci. (IF 5.3) Pub Date : 2023-10-04 Venkateswara Rao Kagita, Sanjaya Kumar Panda, Ram Krishan, P. Deepak Reddy, Jabba Aswanth
Contingency analysis (CA) is one of the essential tools for the optimal design and security assessment of a reliable power system. However, its computational requirements rise with the growth of di...
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Dual conditional GAN based on external attention for semantic image synthesis Connect. Sci. (IF 5.3) Pub Date : 2023-10-04 Gang Liu, Qijun Zhou, Xiaoxiao Xie, Qingchen Yu
Although the existing semantic image synthesis methods based on generative adversarial networks (GANs) have achieved great success, the quality of the generated images still cannot achieve satisfac...
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NAS-YOLOX: a SAR ship detection using neural architecture search and multi-scale attention Connect. Sci. (IF 5.3) Pub Date : 2023-10-04 Hao Wang, Dezhi Han, Mingming Cui, Chongqing Chen
Due to the advantages of all-weather capability and high resolution, synthetic aperture radar (SAR) image ship detection has been widely applied in the military, civilian, and other domains. Howeve...
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Neighbor interaction-based personalised transfer for cross-domain recommendation Connect. Sci. (IF 5.3) Pub Date : 2023-09-29 Kelei Sun, Yingying Wang, Mengqi He, Huaping Zhou, Shunxiang Zhang
Mapping-based cross-domain recommendation (CDR) can effectively tackle the cold-start problem in traditional recommender systems. However, existing mapping-based CDR methods ignore data-sparse user...
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An efficiency control strategy of dual-motor multi-gear drive algorithm Connect. Sci. (IF 5.3) Pub Date : 2023-09-27 Lijun Xiao, Wei Liang, Jiahong Cai, Ming Wang, Jiahong Xiao, Yinyan Gong, Weigang Zhang
The Dual-motor multi-gear coupling powertrain (DMCP) has the potential to improve transmission system efficiency and driving comfort, but its complex structure and multiple working modes present ch...
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CPW-DICE: a novel center and pixel-based weighting for damage segmentation Connect. Sci. (IF 5.3) Pub Date : 2023-09-26 Yunus Abdi, Ömer Küllü, Mehmet Kıvılcım Keleş, Berk Gökberk
Reliable evaluation of damage in vehicles is a primary concern in the insurance industry. Consequently, solutions enhanced with Artificial Intelligence (AI) have become the norm. During the assessm...
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Detecting susceptible communities and individuals in hospital contact networks: a model based on social network analysis Connect. Sci. (IF 5.3) Pub Date : 2023-08-22 Yixuan Yang, Sony Peng, Sophort Siet, Sadriddinov Ilkhomjon, Phonexay Vilakone, Seok-Hoon Kim, Doo-Soon Park
In the real world, the spread of various epidemics can be modelled using the SEIR disease transmission model. Early detection and prevention of susceptible individuals is an effective method of controlling the spread of infectious viruses. This paper presents a study that detects susceptible community on a hospital contact network, which encompasses patients, nurses, doctors and managers. The goal