Results 91 to 100 of about 1,037 (242)
CoRR, 2021 We prove a precise geometric description of all one layer ReLU networks $z(x;θ)$ with a single linear unit and input/output dimensions equal to one that interpolate a given dataset $\mathcal D=\{(x_i,f(x_i))\}$ and, among all such interpolants, minimize the $\ell_2$-norm of the neuron weights.
openaire +2 more sources
Advanced Materials, EarlyView.The new Cu‐containing MOF (Me2NH2)(CuICl2)@[Cu4(INA)4Cl2O]·1.5dmf (3) contains a cation and an anion as guests and shows UV‐near‐mid‐IR absorption and near‐IR emission. MOF 3 shows gas‐solid reactivity in the presence of NH3 and HCOOH to yield two new 3D MOF.
Rajat Saha +10 more
wiley +1 more source
Energy-Efficient Abnormal Nodes Detection and Handlings in Wireless Sensor Networks
IEEE Access, 2017 This paper focuses on the abnormal nodes detection of poisonous gas in wireless sensor networks, namely, finding these nodes whose concentrations are higher than the threshold.
Fei Lei, Lei Yao, Deng Zhao, Yucong Duan
doaj +1 more source
Interpolation methods for SAR backprojection at THz frequencies
, 2021 The paper proposes the extensions of the available linear and cubic interpolation methods for backprojecting complex SAR data into an image plane. Due to the fact that the phase of complex SAR data is very sensitive to the shift in time, the proposed ...
Viet T. Vu +8 more
core +1 more source
Atomistic Mechanisms Triggered by Joule Heating Effects in Metallic Cu‐Bi Nanowires for Spintronics
Advanced Materials, EarlyView.Bi doped metallic Cu nanowires are promising for spintronics thanks to the stabilization of a giant spin Hall effect. However, heat resulting from current injection forces Bi to leave solution, forcing segregation into monoatomic decorations which evolve into coherent crystalline aggregates.
Alejandra Guedeja‐Marrón +6 more
wiley +1 more source
Integrating Interpolation and Extrapolation: A Hybrid Predictive Framework for Supervised Learning
Applied SciencesIn the domain of supervised learning, interpolation and extrapolation serve as crucial methodologies for predicting data points within and beyond the confines of a given dataset, respectively. The efficacy of these methods is closely linked to the nature
Bo Jiang +4 more
doaj +1 more source
Index Terms — Scattered Data Interpolation, Natural-Neighbor
, 2008 — Natural-neighbor interpolation methods, such as Sibson’s method, are well-known schemes for multivariate data fitting and reconstruction. Despite its many desirable properties, Sibson’s method is computationally expensive and difficult to implement ...
L. Linsen +10 more
core
Interpolating Points on a Non-Uniform Grid using a Mixture of Gaussians
, 2020 In this work, we propose an approach to perform non-uniform image interpolation based on a Gaussian Mixture Model. Traditional image interpolation methods, like nearest neighbor, bilinear, Hamming, Lanczos, etc.
Skorokhodov, Ivan
core
Energetic Offset in Organic Solar Cells‐ Importance, Confusion and Outlook
Advanced Materials, EarlyView.Energetic offsets in organic solar cells (OSCs) remain a subject of debate due to measurement‐ and lab‐dependent discrepancies. This Perspective clarifies the physical origins of these variations and identifies temperature‐dependent electro‐optical methods as a reliable approach to obtain consistent offset values.
Nakul Jain +5 more
wiley +1 more source
Assembling a True “Olympic Gel” From over 16 000 Combinatorial DNA Rings
Advanced Materials, EarlyView.Olympic gels are an elusive class of soft matter, consisting of molecular networks held together purely by mechanically interlocked rings. Their topological structure promises unique properties and functions, but their synthesis has proven notoriously difficult.
Sarah K. Speed +9 more
wiley +1 more source