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21 hours ago · Explored how additive manufacturing evolution yields big data, leveraging ML and DT to optimize manufacturing. •. Discussed the interconnection among big ...
3 hours ago · Machin learning and deep learning models development​​ Among the DL models employed were the Deep Neural Network (DNN), feedforward neural network (FNN), Long ...
18 hours ago · This section provides a comprehensive overview of 2D material-based gas sensors, elucidating both the device architecture and transduction method through the ...
3 hours ago · Remote sensing image semantic segmentation network based on multi-scale feature enhancement fusion ... Ground vehicle gravimetry system based on SINS and two- ...
Missing: forward | Show results with:forward
15 hours ago · Development of an Interpretable Uni-Null Neuron-Based Evolving Fuzzy Neural Network for Age Group Identification in Respondents with Diabetes, Paulo Vitor de ...
16 hours ago · ... Image-based Feasibility Study ... Neural Network Forward Model and Transfer Learning Calibration from Monte Carlo to Diffuse Reflectance Spectroscopy.
14 hours ago · 32(1). Ilias L, Mouzakitis S, Askounis D. 2023. Calibration of transformer-based models for identifying stress and depression in social media. IEEE ...
Missing: forward | Show results with:forward
9 hours ago · A prospective multi-center study quantifying visual inattention in delirium using generative models of the visual processing stream. Ahmed Al-Hindawi,; Marcela ...
21 hours ago · Conclusion The proposed method establishes a two-dimensional relationship between color difference ΔE00and L*, and effectively eliminates the effects of low- ...
23 hours ago · ... Based Feature Screening and Conditional Independence Inference. 2024-07-07, clusterMI, Cluster Analysis with Missing Values by Multiple Imputation. 2024-07-07 ...