Results 21 to 30 of about 3,562,975 (305)

A graph-based approach for detection degenerate structures in multi-planet gear trains

open access: yesCogent Engineering, 2022
A locked chain is an immovable sub-chain within a kinematic chain. The detection of immovable sub-chains is a critical step in the structural synthesis of planetary gear trains (PGTs).
Tamather N. Ali   +2 more
doaj   +1 more source

Multidimensional-matrix representation of tensor [PDF]

open access: yes, 2022
The multidimensional-matrix representation of the arbitrary order tensor is represented which is the generalization of the known matrix representation of the second order tensor.
Mukha, V. S.
core   +1 more source

De Moivre’s and Euler Formulas for Matrices of Hybrid Numbers

open access: yesAxioms, 2021
It is known that the hybrid numbers are generalizations of complex, hyperbolic and dual numbers. Recently, they have attracted the attention of many scientists.
Mücahit Akbıyık   +3 more
doaj   +1 more source

Efficient Algorithm Based on Adaptive Window–Model Predictive Control for Automatic Stacking in Warehouse Center

open access: yesIEEE Access, 2021
In this article, three-dimensional (3D) stacking problem, as a mandatory task in the warehouse distribution centers, is smartly represented by a new mathematical formulation.
Qing Chang, Ashkan Sebghati
doaj   +1 more source

Generation matrix: An embeddable matrix representation for hierarchical trees

open access: yesTheoretical Computer Science, 2023
Starting from the local structures to study hierarchical trees is a common research method. However, the cumbersome analysis and description make the naive method challenging to adapt to the increasingly complex hierarchical tree problems. To improve the efficiency of hierarchical tree research, we propose an embeddable matrix representation for ...
Jianping Cai   +3 more
openaire   +5 more sources

Memory capacity of recurrent neural networks with matrix representation

open access: yes, 2023
It is well known that canonical recurrent neural networks (RNNs) face limitations in learning long-term dependencies, which have been addressed by memory structures in long short-term memory (LSTM) networks. Neural Turing machines (NTMs) are a variant of
Animesh Renanse   +5 more
core   +1 more source

New Properties and Identities for Fibonacci Finite Operator Quaternions

open access: yesMathematics, 2022
In this paper, with the help of the finite operators and Fibonacci numbers, we define a new family of quaternions whose components are the Fibonacci finite operator numbers. We also provide some properties of these types of quaternions.
Nazlıhan Terzioğlu   +2 more
doaj   +1 more source

A Circuit Topology Approach to Categorizing Changes in Biomolecular Structure

open access: yesFrontiers in Physics, 2020
The biological world is composed of folded linear molecules of bewildering topological complexity and diversity. The topology of folded biomolecules such as proteins and ribonucleic acids is often subject to change during biological processes.
Otto Schullian   +4 more
doaj   +1 more source

A Hybrid Recommender System Based on Autoencoder and Latent Feature Analysis

open access: yesEntropy, 2023
A recommender system (RS) is highly efficient in extracting valuable information from a deluge of big data. The key issue of implementing an RS lies in uncovering users’ latent preferences on different items. Latent Feature Analysis (LFA) and deep neural
Shangzhi Guo   +5 more
doaj   +1 more source

Multiple Graph Adaptive Regularized Semi-Supervised Nonnegative Matrix Factorization with Sparse Constraint for Data Representation

open access: yes, 2022
Multiple graph and semi-supervision techniques have been successfully introduced into the nonnegative matrix factorization (NMF) model for taking full advantage of the manifold structure and priori information of data to capture excellent low-dimensional
Yi Wang   +11 more
core   +1 more source

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