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  1. No Access

    Article

    Deep learning-based classification and application test of multiple crop leaf diseases using transfer learning and the attention mechanism

    Crop diseases are among the major natural disasters in agricultural production that seriously restrict the growth and development of crops, threatening food security. Timely classification, accurate identifica...

    Yifu Zhang, Qian Sun, Ji Chen, Huini Zhou in Computing (2024)

  2. No Access

    Article

    Efficient base station deployment in specialized regions with splitting particle swarm optimization algorithm

    Signal coverage quality and intensity distribution in complex environments pose a critical challenge, particularly evident in high-density personnel areas and specialized regions with intricate geographic feat...

    Jiaying Shen, Donglin Zhu, Rui Li, **ngyun Zhu, Yuemai Zhang, Weijie Li in World Wide Web (2024)

  3. No Access

    Article

    GTHP: a novel graph transformer Hawkes process for spatiotemporal event prediction

    The event sequences with spatiotemporal characteristics have been rapidly produced in various domains, such as earthquakes in seismology, electronic medical records in healthcare, and transactions in the finan...

    Yiman **e, Jianbin Wu, Yan Zhou in Knowledge and Information Systems (2024)

  4. No Access

    Article

    MMUIL: enhancing multi-platform user identity linkage with multi-information

    User identity linkage (UIL) aims to link identities belonging to the same individual across various platforms. While numerous methods have been proposed for paired or multiple platforms, UIL is still a non-tri...

    Qian Zhou, Yihan Hei, Wei Chen, Shangfei Zheng in Knowledge and Information Systems (2024)

  5. No Access

    Article

    A 3D bedrock modeling method based on information mining of 2D geological map

    The 2D geological map serves as a synthesis of geological investigations and expert knowledge, making it a crucial data source for bedrock 3D modeling. Nevertheless, insufficient geological information mining ...

    Tong Niu, Bingxian Lin, Liangchen Zhou, Guonian Lv in Earth Science Informatics (2024)

  6. No Access

    Article

    Examining generative AI user disclosure intention: an ELM perspective

    Generative AI needs to collect massive information including personal information to train the model and improve the accuracy of answers. This may incur privacy risks and reduce user disclosure intention. Base...

    Tao Zhou, **aoying Wu in Universal Access in the Information Society (2024)

  7. No Access

    Article

    Decoding the court: Insights into basketball training and performance optimization through time-motion analysis

    Basketball, a dynamic team sport, demands a multifaceted approach to training and competition for players’ well-being and optimal performance. This investigation aims to analyze basketball training with match-...

    Jiechun Wang, Chun Li, Xueqian Zhou in Education and Information Technologies (2024)

  8. Article

    Open Access

    Multiple time servers timed-release encryption based on Shamir secret sharing for EHR cloud system

    Electronic health record (EHR) cloud system, as a primary tool driving the informatization of medical data, have positively impacted both doctors and patients by providing accurate and complete patient informa...

    Ke Yuan, Ziwei Cheng, Keyan Chen, Bozhen Wang, Junyang Sun in Journal of Cloud Computing (2024)

  9. Article

    Open Access

    Distraction, multitasking and self-regulation inside university classroom

    As digital devices become ubiquitous in learning contexts, they have become the main source of distraction that leads to distractive multitasking. This underscores the growing importance of self-regulated lear...

    Li** Deng, Yujie Zhou, Jaclyn Broadbent in Education and Information Technologies (2024)

  10. Article

    Open Access

    Employing animation-based TE to activate Chinese children’ cognitive-involvement in L2 feature acquisition

    A substantial amount of literature has shown that the input flooding and enhancement (Textual enhancement, TE) technique helps learners to perceive and acquire target features implicitly. Previous studies expl...

    **ongjun Zhou, Yunxia **ao, Mengxue Zheng in Education and Information Technologies (2024)

  11. No Access

    Article

    An SGX-based execution framework for smart contracts upon permissioned blockchain

    Since consensus protocol and execution mechanism act as two key factors for the overall throughput of blockchain systems, how to execute smart contracts efficiently becomes an emergent bottleneck as many high-...

    Min Fang, Zhao Zhang, Cheqing **, Aoying Zhou in Distributed and Parallel Databases (2024)

  12. No Access

    Article

    A machine reading comprehension model with counterfactual contrastive learning for emotion-cause pair extraction

    The emotion-cause pair extraction (ECPE) task aims to extract emotional clauses and corresponding cause clauses from documents, and this task is increasingly being recognized for its wide range of applications...

    Hanjie Mai, Xuejie Zhang, ** Wang, **aobing Zhou in Knowledge and Information Systems (2024)

  13. No Access

    Article

    Analysis and modelling of gas relative permeability in reservoir by hybrid KELM methods

    Petroleum reservoirs are often influenced by various flow behaviours including the mixture of gas, water and oil. The gas relative permeability is used to estimate how much of the gas in the reservoir is produ...

    Enming Li, Ning Zhang, Bin **, Zhi Yu, Yewuhalashet Fissha in Earth Science Informatics (2024)

  14. No Access

    Article

    How to personalize and whether to personalize? Candidate documents decide

    Personalized search plays an important role in satisfying users’ information needs owing to its ability to build user profiles based on users’ search histories. Most of the existing personalized methods built ...

    Wenhan Liu, Yujia Zhou, Yutao Zhu, Zhicheng Dou in Knowledge and Information Systems (2024)

  15. No Access

    Article

    CRAS: cross-domain recommendation via aspect-level sentiment extraction

    To address the problem of sparse data and cold-start when facing new users and items in the single-domain recommendation, cross-domain recommendation has gradually become a hot topic in the recommendation syst...

    Fan Zhang, Yaoyao Zhou, Pengfei Sun, Yi Xu in Knowledge and Information Systems (2024)

  16. Article

    Open Access

    Do you have AI dependency? The roles of academic self-efficacy, academic stress, and performance expectations on problematic AI usage behavior

    Although previous studies have highlighted the problematic artificial intelligence (AI) usage behaviors in educational contexts, such as overreliance on AI, no study has explored the antecedents and potential ...

    Shunan Zhang, **angying Zhao, Tong Zhou in International Journal of Educational Techn… (2024)

  17. No Access

    Article

    PopGR: Popularity reweighting for debiasing in group recommendation

    Like common recommender systems, group recommendation usually suffers from popularity bias where popular items are more likely to be suggested and exposed to users over long-tailed ones. The skewed data distri...

    Hailun Zhou, Junhua Fang, **fu Chao, Jianfeng Qu, Ruoqian Zhang in World Wide Web (2024)

  18. No Access

    Article

    VR-GNN: variational relation vector graph neural network for modeling homophily and heterophily

    Graph Neural Networks (GNNs) have achieved remarkable success in diverse real-world applications. Traditional GNNs are designed based on homophily, which leads to poor performance under heterophily scenarios. ...

    Fengzhao Shi, Yanan Cao, Ren Li, **xun Lin, Yanmin Shang, Chuan Zhou in World Wide Web (2024)

  19. Article

    Correction: From unsuccessful to successful learning: profiling behavior patterns and student clusters in massive open online courses

    Hui Shi, Yihang Zhou, Vanessa P. Dennen in Education and Information Technologies (2024)

  20. No Access

    Article

    Application of artificial intelligence in physical education: a systematic review

    The application of artificial intelligence in physical education (AIPE) has provided new ways to improve learning and teaching activities in physical classes. However, literature reviews that provide a systema...

    Tong Zhou, **ngliang Wu, Yudong Wang, Yilei Wang in Education and Information Technologies (2024)

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