Results 81 to 90 of about 848,965 (236)
Ti6Al4V‐Bioglass‐Copper Composites for Load‐Bearing Implants
Advanced Healthcare Materials, EarlyView.We have designed and manufactured a novel Ti64‐based composite by adding 45S5 bioglass (BG) and copper (Cu). Adding BG on titanium improves wear resistance and biocompatibility, whereas Cu addition improves mechanical strength while providing inherent lifelong bacterial resistance.
Lochan Upadhayay +3 more
wiley +1 more source
Yield Curve Estimation by Kernel Smoothing Methods [PDF]
We introduce a new method for the estimation of discount functions, yield curves and forward curves from government issued coupon bonds. Our approach is nonparametric and does not assume a particular functional form for the discount function although we ...
C Tanggaard +3 more
core +3 more sources
Unveiling the Role of Curvature in Carbon for Improved Energy Release of Ammonium Perchlorate
Advanced Materials, EarlyView.High‐curvature carbon materials identified via machine learning and simulation can enhance the heat release and combustion performance of ammonium perchlorate. ABSTRACT The catalytic role of carbon curvature in the thermal decomposition of ammonium perchlorate (AP) remains largely unexplored. To address this gap, this study employs machine learning and
Dan Liu +8 more
wiley +1 more source
Locally linear approximation for Kernel methods : the Railway Kernel [PDF]
In this paper we present a new kernel, the Railway Kernel, that works properly for general (nonlinear) classification problems, with the interesting property that acts locally as a linear kernel. In this way, we avoid potential problems due to the use of
Alberto Munoz, Javier Gonzalez
core
Advanced Materials, EarlyView.AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll +19 more
wiley +1 more source
Applied SciencesChronic pain leads to not only physical discomfort but also psychological challenges, such as depression and anxiety, which contribute to a substantial healthcare burden.
Santiago Buitrago-Osorio +4 more
doaj +1 more source
Kernel regression on matrix patterns
Lietuvos Matematikos Rinkinys, 2008 In this paper we propose a kernel-based regression model for matrix patterns (KRMP). The training algorithm is derived. The proposed model was empirically compared with traditional models.
Povilas Daniušis, Pranas Vaitkus
doaj +1 more source
, 2019 We establish the first nonasymptotic error bounds for Kaplan-Meier-based nearest neighbor and kernel survival probability estimators where feature vectors reside in metric spaces.
Chen, George H.
core
Advanced Materials, EarlyView.Screen gate‐based transistors are presented, enabling tunable analog sigmoid and Gaussian activations. The SA‐transistor improves MRI classification accuracy, while the GA‐transistor supports precise Gaussian kernel tuning for forecasting. Both functions are implemented in a single device, offering compact, energy‐efficient analog AI processing ...
Junhyung Cho +9 more
wiley +1 more source
Multi-Channel Features Spatio-Temporal Context Learning for Visual Tracking
IEEE Access, 2017 Visual tracking is a challenging issue in surveillance, human-computer Interaction, and intelligent robotics, among others. Managing appearance changes of the target object, illumination changes, rotations, non-rigid deformations, partial or full ...
Xiaoqin Zhou +4 more
doaj +1 more source