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Spatial attention-guided pre-trained networks for accurate identification of crop diseases
Published 2025-07-01Get full text
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Learning patterns of HIV-1 resistance to broadly neutralizing antibodies with reduced subtype bias using multi-task learning.
Published 2024-11-01“…Machine learning is a powerful approach for such prediction. One challenge is that some HIV-1 subtypes in currently available training datasets are underrepresented, which likely affects models' generalizability across subtypes. …”
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A retrieval-augmented prompting network for hateful meme detection
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Exploring Feasible Carbon Trading Scheme via Graph-Theoretic Method
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Impact of Tunnel Stern Design on Hydrodynamic Characteristics of Catamarans
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Suppression of polarization random noise in a two-dimensional force sensorbased on random forest
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Complex, Temporally Variant SVD via Real ZN Method and 11-Point ZeaD Formula from Theoretics to Experiments
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Interface Thermal Conductance of Nonequilibrium Thermal Transport across Nanoscale Metal Multilayers
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Prescriptive Predictors of Mindfulness Ecological Momentary Intervention for Social Anxiety Disorder: Machine Learning Analysis of Randomized Controlled Trial Data
Published 2025-05-01“…Creating prescriptive outcome prediction models is thus crucial for identifying which clients with SAD might gain the most from a unique scalable treatment option. …”
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Unveiling concentrations of trace elements in the Lower Indus River: risks to aquatic life and human health
Published 2024-12-01Get full text
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