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4,050 Result(s)
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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...
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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...
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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...
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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...
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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 ...
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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...
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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-...
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Open AccessMultiple 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...
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Open AccessDistraction, 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...
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Open AccessEmploying 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...
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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-...
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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...
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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...
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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 ...
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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...
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Open AccessDo 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 ...
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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...
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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. ...
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Correction: From unsuccessful to successful learning: profiling behavior patterns and student clusters in massive open online courses
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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...