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ORCIDConnection Science, Volume 36
Volume 36, Number 1, December 2024
- Liping Deng, Bing Guo, Wen Zheng:
GCN-based weakly-supervised community detection with updated structure centres selection. - Jiajia Jiao, Yingzhao Chen, Zhiyu Li, Tien-Hsiung Weng:
AWDS-net: automatic whole-field segmentation network for characterising diverse breast masses. - Chenglong Ren, Xiao Lan, Xingshu Chen, Yonggang Luo, Shuhua Ruan:
A novel framework for Chinese personal sensitive information detection. - Wenjuan Liu
, Zhengyan Sun, Subo Wei, Shunxiang Zhang, Guangli Zhu, Lei Chen:
PS-GCN: psycholinguistic graph and sentiment semantic fused graph convolutional networks for personality detection. - Xiao Chen, Lei Cao, Zhi Cao, Hongwei Zhang:
A multi-feature stock price prediction model based on multi-feature calculation, LASSO feature selection, and Ca-LSTM network. - Yunduo Liu, Fang Xu, Yushan Zhao, Zichen Ma, Tengke Wang, Shunxiang Zhang, Yuhao Tian:
Hierarchical multi-instance multi-label learning for Chinese patent text classification. - Yunyan Jia, Ling Xiong, Yu Fan, Wei Liang, Neal Naixue Xiong, Fengjun Xiao:
Blockchain-based privacy-preserving multi-tasks federated learning framework. - Fenfang Xie, Angyu Zheng, Liang Chen, Zibin Zheng, Mingdong Tang:
Weighted meta-graph based mobile application recommendation through matrix factorisation and neural networks. - Yong-Woon Hwang, Taehoon Kim, Daehee Seo, Im-Yeong Lee:
A study on the traceable attribute-based signature scheme provided with anonymous credentials. - Peiqiang Li, Guojun Wang, Xiaofei Xing, Xiangbin Li, Jinyao Zhu:
Detecting unknown vulnerabilities in smart contracts using opcode sequences. - Jérémy Renaud, Raphaël Couturier, Christophe Guyeux, Benoit Courjal:
TSCAPE: time series clustering with curve analysis and projection on an Euclidean space. - Tim Tianyi Yang, Tom Tianze Yang, Andrew Liu, Na An, Shaoshan Liu, Xue Liu:
AICOM-MP: an AI-based monkeypox detector for resource-constrained environments. - Guijin Han, Ruixuan Wang, Wuyan Xu, Jun Li:
Night construction site detection based on ghost-YOLOX. - Xiaohui Yang, Tianchang Li:
A Blockchain-based federated learning framework for secure aggregation and fair incentives. - Erdal Güvenoglu:
An image encryption algorithm based on multi-layered chaotic maps and its security analysis. - Banoth Thulasya Naik, Mohammad Farukh Hashmi, Aditya Gupta:
EIoU-distance loss: an automated team-wise player detection and tracking with jersey colour recognition in soccer. - Huan Zhao, Nianxin Huang, Haijiao Chen:
Knowledge enhancement for speech emotion recognition via multi-level acoustic feature. - Gang Liu, Xiaoxiao Xie, Qingchen Yu:
Monocular 3D object detection with thermodynamic loss and decoupled instance depth. - Arpad Gellert, Lorena-Maria Olaru, Adrian Florea, Ileana-Ioana Cofaru, Ugo Fiore, Francesco Palmieri:
Estimating electricity consumption at city-level through advanced machine learning methods. - Dehua Weng, Zhiliang Zhu, Zhengbing Yan, Moran Wu, Ziang Jiang, Nan Ye:
Lightweight network for insulator fault detection based on improved YOLOv5. - Yuexuan Ma, Xiao Yu, Li Zhang, Zhao Li, Yuanzhang Li, Yu-an Tan:
Dynamic fuzz testing of UAV configuration parameters based on dual guidance of fitness and coverage. - Wei Wang, Dezhi Han, Chongqing Chen, Zhongdai Wu:
FastPFM: a multi-scale ship detection algorithm for complex scenes based on SAR images. - Lihong Tang, Tingmin Wu, Xiao Chen, Sheng Wen, Wei Zhou, Xiaogang Zhu, Yang Xiang:
How COVID-19 impacts telehealth: an empirical study of telehealth services, users and the use of metaverse. - Zheng Zhang, Jingfeng Xue, Tianshi Mu, Ting Yu, Kefan Qiu, Tian Chen, Yuanzhang Li:
Bypassing software-based remote attestation using debug registers. - Yuanyuan Yi, Kai Cui, Minghua Xu, Lingzhi Yi, Kun Yi, Xinlei Zhou, Shenghao Liu, Gefei Zhou:
A long-short dual-mode knowledge distillation framework for empirical asset pricing models in digital financial networks. - Chenwei Xu, Yuntao Zou:
Contour wavelet diffusion - a fast and high-quality facial expression generation model. - Nevena Rankovic, Dragica Rankovic, Mirjana Ivanovic, Igor Lukic:
Explainable data mining model for hyperinsulinemia diagnostics. - Yinjun Zhang, Linzhi Wang:
Early diagnosis of Alzheimer's disease using dual GAN model with pyramid attention networks. - Hui Guo, Chengyong Yang, Liqing Zhou, Shiwei Wei:
A novel Knowledge Graph recommendation algorithm based on Graph Convolutional Network. - Shuhui Zhang, Hanwen Tian, Lianhai Wang, Shujiang Xu, Wei Shao:
A reputation-based dynamic reorganization scheme for blockchain network sharding. - Shuai Yuan, Junhai Qiu, Hongxia Xu, Yan Zhang, Jiaxing Zhang:
Few-shot segmentation based on multi-level and cross-scale clustering. - Tuqiang Zhou, Wei Liu, Haoran Li:
A feature enhancement FCOS algorithm for dynamic traffic object detection. - Bo Sun, Sen Zhao, Guohua Tian:
SQL queries over encrypted databases: a survey. - Qingguo Zhou, Yufeng Hou, Rui Zhou, Yan Li, Jinqiang Wang, Zhen Wu, Hung-Wei Li, Tien-Hsiung Weng:
Cross-modal learning with multi-modal model for video action recognition based on adaptive weight training. - Linshu Chen, Tao Li, Yuxiang Chen, Xiaoyan Chen, Marcin Wozniak, Neal Xiong, Wei Liang:
Design and analysis of quantum machine learning: a survey. - Nai-Wei Hsu, Chuan-Chi Wang, Chia-Hsin Hsu, Chia-Heng Tu, Shih-Hao Hung:
Toward cost-effective quantum circuit simulation with performance tuning techniques. - Nauman Khan, Zahid Khan, Anis Koubaa, Muhammad Khurram Khan, Rosli Bin Salleh:
Global insights and the impact of generative AI-ChatGPT on multidisciplinary: a systematic review and bibliometric analysis. - Prakasam Periasamy, R. Ujwala, K. Srikar, Y. V. Durga Sai, K. S. Preetha, Durairaj Sumathi, Md Shohel Sayeed:
ERAM-EE: Efficient resource allocation and management strategies with energy efficiency under fog-internet of things environments. - Sultan Basudan:
IPFS-blockchain-based delegation model for internet of medical robotics things telesurgery system. - Mehmet Burukanli, Nejat Yumusak:
TfrAdmCov: a robust transformer encoder based model with Adam optimizer algorithm for COVID-19 mutation prediction. - Kousik Barik, Sanjay Misra, Luis Fernández Sanz, Sabarathinam Chockalingam:
Enhancing image data security using the APFB model. - Ting-Chun Chou, Yu-Cheng Kuo, Jhih-Yuan Huang, Wei-Po Lee:
A continual learning framework to train robust image recognition models by adversarial training and knowledge distillation. - Balaji E., Elumalai Vinodh Kumar, Dhanasekaran Sandhiya, R. M. Swarna Priya, S. P. Shantharajah:
Parkinson's disease detection and stage classification: quantitative gait evaluation through variational mode decomposition and DCNN architecture. - Adela Bâra, Simona-Vasilica Oprea:
Devising single in-out long short-term memory univariate models for predicting the electricity price on the day-ahead markets. - G. Johncy, R. S. Shaji:
Secure smart grid implementation with automatic data integrity attack location prediction and exalted energy theft detection. - Atla Konda Gurava Reddy, Rajeev Sharma:
Enhancing motor imagery classification: a novel CNN with self-attention using local and global features of filtered EEG data. - Tengke Wang, Yushan Zhao, Guangli Zhu, Yunduo Liu, Hanchen Li, Shunxiang Zhang, Meng-Yen Hsieh:
An entity and relation extraction model based on context query and axial attention towards patent texts. - Miao Yu, Xing Wan, Tianyou Zhu, Yuyue Wang, Mengdi Xu, Zhenzhen Wu, Xinyu Li:
Economic policies assessment and judgement during the pandemic with semantic and social network joint analysis.
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