Results 131 to 140 of about 473,597 (273)
Machine Learning‐Driven Variability Analysis of Process Parameters for Semiconductor Manufacturing
This research presents a machine learning approach that integrates nonlinear variation decomposition (NLVD) with statistical techniques to quantify the contribution of individual unit processes to performance and variance of figure of merit (FoM) at the LOT level.
Sinyeong Kang +6 more
wiley +1 more source
: In this work, Voxel‐SLAM (simultaneous localization and mapping) is introduced: a complete, accurate, and versatile LiDAR (light detection and ranging) ‐inertial SLAM system consisting of five modules: initialization, odometry, local mapping (LM), loop closure (LC), and global mapping (GM), all employing the same map representation, an adaptive voxel
Zheng Liu +9 more
wiley +1 more source
Extension of the tridiagonal reduction (FEER) method for complex eigenvalue problems in NASTRAN [PDF]
As in the case of real eigenvalue analysis, the eigensolutions closest to a selected point in the eigenspectrum were extracted from a reduced, symmetric, tridiagonal eigenmatrix whose order was much lower than that of the full size problem. The reduction
Mann, F. I., Newman, M.
core +1 more source
Soil, competition, and niche shifts shape the floral mosaic of an annual plant diversity hotspot
Abstract Premise Plant species with affinity for harsh substrates often have well‐defined edaphic (soil) niches and are ideal for exploring questions of community assembly. Vertic clay soils are chemically and physically challenging to plant establishment and productivity, and annual plant communities associated with these soils of the San Joaquin ...
Emma R. Fryer +5 more
wiley +1 more source
Azumaya locus over certain quantum symplectic spaces II
This article undertakes an exploration of a particular variant of multiparameter quantum symplectic algebras, focusing specifically on the quantum Heisenberg algebra at the roots of unity.
Mukherjee, Snehashis
doaj +1 more source
This study proposes an innovative approach to strengthen and amplify entanglement in a hybrid qubit–qutrit system driven by a dynamic field. By analyzing the system's dynamics under both Markovian and non‐Markovian environments, we show that specific field values optimize entanglement.
Polislin Fabrice Wonang +5 more
wiley +1 more source
Entanglement of A Qubit‐Qutrit System: Impact of Ohmic Noise
The dynamics of quantum correlations in a hybrid qubit–qutrit system subjected to an Ohmic noisy environment are investigated in this study. The significance of open quantum systems and the rationale behind researching decoherence effects on hybrid quantum architectures are discussed in the introduction. The system Hamiltonian, the interaction with the
Polislin Fabrice Wonang +5 more
wiley +1 more source
GILEA: GAN Inversion-enabled latent eigenvalue analysis for phenome profiling and editing
Wu J, Koelzer VH.
europepmc +1 more source
Distal femoral morphology as a risk factor for osteoarthritis
Abstract Osteoarthritis (OA) is a leading cause of disability affecting millions of adults in the United States, commonly resulting in the need for total knee arthroplasty (TKA) to restore mobility and quality of life. This study investigates potential differences in baseline distal femoral shape between individuals who received TKA due to OA and a ...
Haley Horbaly
wiley +1 more source
Abstract Neandertals are known to possess very distinctive traits in their bony labyrinth morphology, such as an inferiorly positioned posterior canal and a very low number of turns in the cochlea. Hence, the inner ear has been often used to assess the Neandertal status of fragmentary fossils.
Alessandro Urciuoli +6 more
wiley +1 more source

