Results 51 to 60 of about 3,776 (198)
Hadamard and quasi-Hadamard properties for certain subclasses of analytic functions [PDF]
Surveys in Mathematics and its ApplicationsIn the present paper two subclasses \mathcalSq*(\itNe) and \mathcalKq(\itNe) of analytic functions are introduced by using q-derivative operator.
Shashi Kant +2 more
doaj
High‐Order Sliding‐Mode control for MIMO Systems
International Journal of Robust and Nonlinear Control, EarlyView.ABSTRACT This paper extends Lyapunov‐based homogeneous high‐order sliding‐mode control to a class of uncertain non‐square multi‐input multi‐output (MIMO) nonlinear systems with a well‐defined vector relative degree. The considered systems admit a normal‐form representation with an uncertain but full‐row‐rank input‐gain matrix.
Jaime A. Moreno, Angel Mercado‐Uribe
wiley +1 more source
Positive semidefiniteness of estimated covariance matrices in linear models for sample survey data
Special Matrices, 2016 Descriptive analysis of sample survey data estimates means, totals and their variances in a design framework. When analysis is extended to linear models, the standard design-based method for regression parameters includes inverse selection probabilities ...
Haslett Stephen
doaj +1 more source
ML‐Assisted Adaptive Fade Mitigation for Satellite Connectivity
International Journal of Satellite Communications and Networking, EarlyView.ABSTRACT The demand for reliable and high‐quality wireless networks driven by resource‐intensive applications and services is growing rapidly and invoked the emergence of beyond 5G (B5G) and 6G paradigm and technologies which include satellite systems as part of the nonterrestrial networks (NTN).
Jinwara Surattanagul +4 more
wiley +1 more source
Matrix Completions, Norms, and Hadamard Products [PDF]
Proceedings of the American Mathematical Society, 1993 The author obtains a necessary and sufficient condition for \(X_ 0\in S\subset H_ n\) to attain the maximum in the problem \(\max\{\lambda_{\min}(A+X):X\in S\}\), where \(A\in H_ n\) is a fixed matrix, \(H_ n\) is the space of \(n\times n\) Hermitian matrices, and \(S\) is a closed convex set.
openaire +1 more source
Generating Compressed Counterfactual Hard Negative Samples for Graph Contrastive Learning
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Graph contrastive learning (GCL) relies on acquiring high‐quality positive and negative samples to learn the structural semantics of the input graph. Previous approaches typically sampled negative samples from the same training batch or an irrelevant external graph.
Haoran Yang +7 more
wiley +1 more source
Subordinating results for a class of analytic functions defined by Hadamard product and Atshan and Rafid operator [PDF]
Surveys in Mathematics and its Applications, 2021 In this paper, we defined a class of analytic functions defined by Hadamard product and Atshan and Rafid operator and obtained some subordinating results for functions in this class.
M. K. Aouf +2 more
doaj
ANPGT: Towards Adaptive Node Property Extraction and Integration
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Graph transformers (GTs) with elaborate positional/structural encodings (PEs/SEs) have excelled in graph representation learning, especially in graph‐level tasks. However, their potential in large‐scale node classification remains untapped for several reasons: (i) Current PEs/SEs are insufficient in modelling large‐scale real‐world graphs ...
Qin Chen +4 more
wiley +1 more source
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Handwritten Dongba Character Recognition (HDCR) contains a large number of visually similar characters with subtle and fragile edge cues, posing severe challenges to feature learning. To address this issue, an Edge Channel Aggregation Network (EdgeCANet) model is proposed.
Xiali Li +3 more
wiley +1 more source
Advances in Difference Equations, 2021 In this paper, we establish some Hermite–Hadamard–Fejér type inclusions for the product of two co-ordinated convex interval-valued functions. These inclusions are generalizations of some results given in earlier works.
Hasan Kara +4 more
doaj +1 more source