Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...
Spatiotemporal Evolution Patterns and Intelligent Forecasting of Passenger Flow in Megacity High-Speed Rail Hubs: A Case ...
Deep Learning Methods, GNN Model, Community Service Work, China and USA, Neural Networks Share and Cite: Liu, J.X. (2026) A Comparative Study of Community Service Work between China and the United ...
Abstract: Accurate segmentation and classification of brain tumors from Magnetic Resonance Imaging (MRI) are critical for effective diagnosis and treatment planning. This paper proposes a novel ...
The efficacy of deep residual networks is fundamentally predicated on the identity shortcut connection. While this mechanism effectively mitigates the vanishing gradient problem, it imposes a strictly ...
The researchers successfully assembled a high-quality, chromosome-level genome comprising 16 chromosomes. Gene family expansion analyses revealed enrichment in pathways associated with nutrient uptake ...
Infeasible paths constitute a bottleneck for the complete automation of software testing, one of the most expensive activities of software quality assurance. Research efforts have been spent on ...
Experience an inspiring outdoor advanced yoga flow featuring a skilled practitioner executing a series of challenging yoga poses. This fluid sequence showcases deep stretches, impressive binds, and ...
Abstract: Overfitting, an issue that constrains the validity and generalizability of machine learning in neuroimaging-based diagnostic-classification, is in part due to small sample sizes in relation ...
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