Results 81 to 90 of about 166,726 (252)
Properties of the Linear multiplier operator for the Weinstein transform and applications
In this article, we use the theory of reproducing kernels to study the Weinstein multiplier operators on Sobolev type spaces. Some applications are given and an associated Hormander type theorem on L^p-boundedness is established.
Abdessalem Gasmi, Anis El Garna
doaj
On weights which admit the reproducing kernel of Bergman type
In this paper we consider (1) the weights of integration for which the reproducing kernel of the Bergman type can be defined, i.e., the admissible weights, and (2) the kernels defined by such weights.
Zbigniew Pasternak-Winiarski
doaj +1 more source
Positive definite Hermitian matrices and reproducing kernels [PDF]
Some quadratic identities associated with positive definite Hermitian matrices are derived by use of the theory of reproducing kernels. For example, the following identity is obtained: Let{Aj}mj=1 be N × N positive definite Hermitian matrices.
Saitoh, Saburou, Saburou Saitoh
core +1 more source
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Biological time series classification via reproducing kernels and sample entropy
In this thesis, we study classification of biological time series and its related theoretical issues. We focus on two issues: fast algorithms for computing the sample entropy of a time series which describes the complexity of the time series and ...
Mao, Dong
core +1 more source
Polyanalytic reproducing Kernels on the quantized annulus
normalising constant is corrected, the Bergman kernel of the punctured disc is retrievedInternational audienceWhile dealing with the constant-strength magnetic Laplacian on the annulus, we complete J. Peetre's work.
Demni, Nizar, Mouayn, Zouhair
core +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
“Smelltronics”—From Gas to Smell Sensing
The emerging field of smelltronics, encompassing sensing technologies for complex volatile organic compounds, holds significant potential for extracting valuable chemical information. It facilitates the noninvasive, real‐time monitoring of humans, food, and the environment.
Takeshi Ono +7 more
wiley +1 more source
Unsupervised Domain Adaptation by Mapped Correlation Alignment
The goal of unsupervised domain adaptation aims to utilize labeled data from source domain to annotate the target-domain data, which has none of the labels.
Yun Zhang +3 more
doaj +1 more source
Polyphenol‐Inspired Materials for Agricultural Applications
This review outlines the use of polyphenol‐inspired materials for sustainable agriculture, highlighting their molecular design, interfacial assembly, structure–property relationships, and prospects toward precision agriculture, climate resilience, ecosystem protection, and circular bioeconomy strategies.
Haofu Liu +8 more
wiley +1 more source

