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reconstruction algorithm » recommendation algorithm (Expand Search)
state reconstruction » la reconstruction (Expand Search), law reconstruction (Expand Search), _ reconstruction (Expand Search)
reconstruction algorithm » recommendation algorithm (Expand Search)
state reconstruction » la reconstruction (Expand Search), law reconstruction (Expand Search), _ reconstruction (Expand Search)
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Reconstruction and simulation of neocortical microcircuitry
Published 2015“…The reconstruction uses cellular and synaptic organizing principles to algorithmically reconstruct detailed anatomy and physiology from sparse experimental data. …”
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Machine Learning-based X-Ray Projection Interpolation for Improved 4D-CBCT Reconstruction
Published 2024“…Respiration-correlated cone-beam computed tomography (4D-CBCT) is an X-ray-based imaging modality that uses reconstruction algorithms to produce time-varying volumetric images of moving anatomy over a cycle of respiratory motion. …”
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MLMRS-Net: Electroencephalography (EEG) motion artifacts removal using a multi-layer multi-resolution spatially pooled 1D signal reconstruction network
Published 2022“…Because the diagnosis of many neurological diseases is heavily reliant on clean EEG data, it is critical to eliminate motion artifacts from motion-corrupted EEG signals using reliable and robust algorithms. Although a few deep learning-based models have been proposed for the removal of ocular, muscle, and cardiac artifacts from EEG data to the best of our knowledge, there is no attempt has been made in removing motion artifacts from motion-corrupted EEG signals: In this paper, a novel 1D convolutional neural network (CNN) called multi-layer multi-resolution spatially pooled (MLMRS) network for signal reconstruction is proposed for EEG motion artifact removal. …”
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An Alternating Projection Framework for Elementwise Masked Nonlinear Matrix Decomposition
Published 2025Get full text
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Privacy Preserving Cancellable Template Generation for Crypto-Biometric Authentication System
Published 2025“…Integrating cryptographic algorithms with biometric minutiae features effectively addresses the limitations of cancellable biometric templates, which can be susceptible to inversion attacks and template reconstruction. …”
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