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Understanding the density maximum of water with machine-learned potentials. [PDF]
Song Y +7 more
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A continuous conductivity gradient is formed in a porous MXene/melamine foam via directional evaporation, thereby improving impedance matching and enhancing electromagnetic attenuation. The resulting monolithic composite delivers absorption‐dominant EMI shielding with ultralow reflection, offering a simple route toward lightweight EMI shielding ...
Dawei Zhang +6 more
wiley +1 more source
Enhanced cybersecurity threat detection using novel tri-metaheuristic loss functions in generative adversarial networks with adaptive attention preservation for network traffic augmentation. [PDF]
Khalil HM, Elrefaiy A, Elbaz M, Loey M.
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Robust self supervised symmetric nonnegative matrix factorization to the graph clustering. [PDF]
Ru Y, Gruninger M, Dou Y.
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LRR-UNet: A Deep Unfolding Network With Low-Rank Recovery for EEG Signal Denoising. [PDF]
Yue X, Lu L, Liu H, Zang Y.
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Origins and lifetimes of secular and tidal bars in simulated disc galaxies. [PDF]
Frosst M +3 more
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Artificial intelligence for quantum computing. [PDF]
Alexeev Y +27 more
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Simultaneous learning of static and dynamic charges.
Stärk P +6 more
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Weighted tensor nuclear norm minimization for tensor completion using tensor-SVD
Pattern Recognition Letters, 2020Abstract In this paper, we consider the tensor completion problem, which aims to estimate missing values from limited information. Our model is based on the recently proposed tensor-SVD, which uses the relationships among the color channels in an image or video recovery problem. To improve the availability of the model, we propose the weighted tensor
Liangfu Lu, Xuyun Zhang, Lianyong Qi
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