Results 51 to 60 of about 165,068 (255)
Numerische Mathematik, 1993 We describe a block version of Arnoldi's method for computing a few eigenvalues with largest or smallest real parts. The method is accelerated via Chebyshev iteration and a procedure is developed to identify the optimal ellipse which encloses the spectrum.
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Advanced Functional Materials, EarlyView.Automat optical inspection (AOI) techniques in semiconductor fabrication can be leveraged in battery manufacturing, enabling scalable detection and analysis of electrode‐ and cell‐level imperfections through AI‐driven analytics and a digital‐twin framework.
Jianyu Li, Ertao Hu, Wei Wei, Feifei Shi
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Advanced Engineering Research, 2023 Introduction. When numerically solving problems of elasticity theory in a three-dimensional formulation by the finite element method, finite elements (FE) in the form of parallelepipeds, prisms and tetrahedra are used.
P. P. Gaidzhurov, N. A. Saveleva
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Phylogenetic Stochastic Mapping without Matrix Exponentiation
, 2014 Phylogenetic stochastic mapping is a method for reconstructing the history of trait changes on a phylogenetic tree relating species/organisms carrying the trait. State-of-the-art methods assume that the trait evolves according to a continuous-time Markov
Irvahn, Jan, Minin, Vladimir N.
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Accelerated Discovery of High Performance Ni3S4/Ni3Mo HER Catalysts via Bayesian Optimization
Advanced Functional Materials, EarlyView.Integrated workflow accelerates the catalyst discovery of hydrogen evolution reaction via Bayesian optimization. An experiment‐trained surrogate model proposes synthesis conditions, guiding iterative refinement using electrochemical performance metrics.
Namuersaihan Namuersaihan +9 more
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Advanced Functional Materials, EarlyView.A stacked memristor crossbar architecture is presented that enables direct in‐memory computation of Euclidean distance through intrinsic current subtraction at a shared middle electrode. By physically encoding weights and squared weights in vertically aligned layers, the system realizes energy‐efficient self‐organizing map learning, demonstrating ...
Jinwoo Park, Hyungjin Kim
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Efficient cross-validation traversals in feature subset selection
Scientific Reports, 2022 Sparse and robust classification models have the potential for revealing common predictive patterns that not only allow for categorizing objects into classes but also for generating mechanistic hypotheses.
Ludwig Lausser +4 more
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Meniscus Pixel Printing for Contact‐Lens Vision Sensing and Robotic Control
Advanced Functional Materials, EarlyView.A visual‐sensing contact lens is enabled by meniscus pixel printing (MPP), which rapidly patterns a 200 µm perovskite photodetector pixel in 1 s without masks, vacuum processing, or bulky equipment. A deep‐learning‐based super‐resolution reconstructs sparse on‐lens signals into 80 × 80 high‐resolution visual information, while AI‐driven eye‐tracking ...
Byung‐Hoon Gong +7 more
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IEEE Photonics JournalSparse-viewcomputed tomography (CT) imaging is a promising technique for reducing radiation dose and accelerating data acquisition in medical imaging.
Zhenhua Wu, Jiafei Xu, Lixia Yang
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Convolutional Dictionary Learning: Acceleration and Convergence
, 2017 Convolutional dictionary learning (CDL or sparsifying CDL) has many applications in image processing and computer vision. There has been growing interest in developing efficient algorithms for CDL, mostly relying on the augmented Lagrangian (AL) method ...
Chun, Il Yong, Fessler, Jeffrey A.
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