Results 11 to 20 of about 2,802,378 (302)
Discovering Interdisciplinary Research Based on Neural Networks
Frontiers in Bioengineering and Biotechnology, 2022 Interdisciplinary research promotes the emergence of scientific innovation. Researchers want to find interdisciplinary research in their research field.
Tao He +6 more
doaj +1 more source
Automotive Sector Financial Performance Dynamic Model: Europe vs. Asia Case Study
Mathematics, 2022 The current geo-political context brings to light new challenges to the smooth functioning of the global automotive trade, both through the economic boycott of Russian units and the intensified transition to the green economy.
Romeo-Victor Ionescu +3 more
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Hypercompositional Algebra, Computer Science and Geometry
Mathematics, 2020 The various branches of Mathematics are not separated between themselves. On the contrary, they interact and extend into each other’s sometimes seemingly different and unrelated areas and help them advance. In this sense, the Hypercompositional Algebra’s
Gerasimos Massouros, Christos Massouros
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Techno-Concepts for the Cultural Field: n-Dimensional Space and Its Conceptual Constellation
Multimodal Technologies and Interaction, 2022 This paper advocates an epistemological turn in the field of digital art history and cultural heritage studies. This epistemological turn is understood as the elaboration of a new (or renewed) epistemic apparatus that allows us to understand and ...
Nuria Rodríguez-Ortega
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Linear Diophantine Fuzzy Subspaces of a Vector Space
Mathematics, 2023 The notion of a linear diophantine fuzzy set as a generalization of a fuzzy set is a mathematical approach that deals with vagueness in decision-making problems.
Madeleine Al-Tahan +3 more
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International Journal of Adaptive Control and Signal Processing, EarlyView., 2023 Summary In this contribution, we propose a detailed study of interpolation‐based data‐driven methods that are of relevance in the model reduction and also in the systems and control communities. The data are given by samples of the transfer function of the underlying (unknown) model, that is, we analyze frequency‐response data.
Quirin Aumann, Ion Victor Gosea
wiley +1 more source
Data‐driven performance metrics for neural network learning
International Journal of Adaptive Control and Signal Processing, EarlyView., 2023 Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri +2 more
wiley +1 more source
Vector valued Hardy spaces [PDF]
, 2018 The Hardy space $H^{p}$ of vector valued analytic functions in tube domains in $\mathbb{C}^{n}$ and with values in Banach space are defined. Vector valued analytic functions in tube domains in $\mathbb{C}^{n}$ with values in Hilbert space and which have ...
Carmichael, Richard D. +2 more
core +4 more sources
Solving Three Conjectures about Neutrosophic Quadruple Vector Spaces [PDF]
Neutrosophic Sets and Systems, 2020 The aim of this paper is to answer Smarandache conjectures about neutrosophic quadruple vector spaces. This paper depends on the concept of weak n-refined neutrosophic vector space to prove that an NQ vector space V defined over the field F is isomorphic.
Hasan Sankari, Mohammad Abobala
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Topological Indices of Graphs from Vector Spaces
Mathematics, 2023 Topological indices are numbers that are applied to a graph and can be used to describe specific graph properties through algebraic structures. Algebraic graph theory is a helpful tool in a range of chemistry domains.
Krishnamoorthy Mageshwaran +3 more
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