Results 161 to 170 of about 828,276 (301)
Integral representations for continuous linear operators in the setting of convex topological vector spaces [PDF]
J. Riley Edwards, S. G. Wayment
openalex +1 more source
A characterization of complete topological vector spaces with applications to spaces of measurable functions [PDF]
The aim of this paper is twofold. Firstly, we give easy-to-handle criteria to determine whether a given family of subsets of a vector space is a neighbourhood basis of the origin for a complete vector topology. Then, we apply these criteria to construct quite general complete topological vector spaces of measurable functions.
arxiv
Interpolation graph convolutional network for 3D point cloud analysis
Abstract The feature analysis of point clouds, a popular representation of three‐dimensional (3D) objects, is rising as a hot research topic nowadays. Point cloud data bear a sparse and unordered nature, making many commonly used feature extraction methods, for example, Convolutional Neural Networks (CNNs) inapplicable, while previous models suitable ...
Yao Liu+4 more
wiley +1 more source
Polarized Raman spectroscopy on topological semimetal Co3Sn2S2
We present polarized Raman spectroscopy of the topological semimetal Co3Sn2S2. Two major phonon Raman peaks were observed at 289 and 386 cm−1 over continuous background emission signals and attributed to Γ point phonon modes with Eg and A1g symmetries, respectively, according to the group theory and Raman tensor analysis.
Kenya Tanaka+5 more
wiley +1 more source
Vector-valued continuous functions with strict topologies and angelic topological spaces [PDF]
Surjit Singh Khurana
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The article introduces WACEfNet, a new convolutional neural network architecture optimized for efficient aerial image analysis under resource constraints. It creatively integrates attention mechanisms and atrous convolutions into a compact widened residual network framework.
Md Meftahul Ferdaus+4 more
wiley +1 more source
Some embedding properties of Hilbert subspaces in topological vector spaces [PDF]
Eberhard Gerlach
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Joint Situational Assessment‐Hierarchical Decision‐Making Framework for Maneuver Intent Decisions
This study introduces a new framework for decision‐making in unmanned combat aerial vehicles (UCAVs), integrating graph convolutional networks and hierarchical reinforcement learning (HRL). The method tackles adopts a curriculum‐based training approach guided by cross‐entropy rewards.
Ruihai Chen+4 more
wiley +1 more source
COMMON FIXED POINT THEOREMS FOR f-CONTRACTION MAPPINGS IN TVS-VALUED CONE METRIC SPACE
– We generalize the result of Abbas and Rhoades [1] and obtained some common fixed point results for two Banach pair of mappings which satisfies f-contraction condition on Topological vector space Valued Cone metric space (TVS-CMS) without the notion of ...
Sami Ullah Khan, Arjamand Bano
doaj