-
81
-
82
Structure and Rank of a Cyclic Code over a Class of Nonchain Rings
Published 2024-01-01Get full text
Article -
83
Evaluation of Vienna’s World Economic Position Based on Global and World City Rankings
Published 2016-12-01Get full text
Article -
84
Evaluation Model and Decision Analysis of Digital Firms Ranked in Forbes’ Top Companies
Published 2022-01-01Get full text
Article -
85
The rank order of the neutrosophic triplets (T, I, F) may change after normalization
Published 2024-12-01Get full text
Article -
86
Low‐rank and sparse reconstruction for fast diffusion nuclear magnetic resonance spectroscopy
Published 2021-04-01Get full text
Article -
87
INRNet: Neighborhood Re-Ranking-Based Method for Pedestrian Text-Image Retrieval
Published 2025-01-01Get full text
Article -
88
Ranking Analysis for Online Customer Reviews of Products Using Opinion Mining with Clustering
Published 2018-01-01Get full text
Article -
89
-
90
LGR4 is essential for maintaining β-cell homeostasis through suppression of RANK
Published 2025-02-01Get full text
Article -
91
-
92
2007 Agricultural Census Tidbit: Florida Farm Sales Up but National Rank Down
Published 2009-12-01Get full text
Article -
93
2007 Agricultural Census Tidbit: Florida Farm Sales Up but National Rank Down
Published 2009-12-01Get full text
Article -
94
Robust feature selection method via joint low-rank reconstruction and projection reconstruction
Published 2023-03-01“…Aiming at the problem that current feature selection methods were still affected by noise and cannot effectively unify clustering and reconstruction effects, a robust feature selection method was proposed.A robust reconstruction error term was built by making the difference between low-rank reconstruction and projection reconstruction.After that, the features for clustering were selected from the reconstructed data instead of the original data.The learning of clean data and feature selection technique are allowed for joint learning and promote each other, thereby improving the robustness of the method on noisy data, and effectively unifying reconstruction and clustering.Compared with several kinds of graph embedding feature selection and reconstruction feature selection methods on five datasets, the experimental results showed that, except for the LUNG noise dataset, the proposed method outperforms the comparative feature selection method under both evaluation indicators (ACC and NMI).…”
Get full text
Article -
95
Scientific management school problem’s evolution (based on highly ranked Russian scientific journals)
Published 2022-12-01“…The analysis was based on highly ranked publications. The information base consisted of 38 articles from five peer-reviewed scientific journals included in the Russian Science Citation Index (RSCI) database, and international citation databases. …”
Get full text
Article -
96
Rainbow Connectivity Using a Rank Genetic Algorithm: Moore Cages with Girth Six
Published 2019-01-01“…A rainbow t-coloring of a t-connected graph G is an edge coloring such that for any two distinct vertices u and v of G there are at least t internally vertex-disjoint rainbow (u,v)-paths. …”
Get full text
Article -
97
Kinetic Analysis of Low-Rank Coal Pyrolysis by Model-Free and Model-Fitting Methods
Published 2019-01-01Get full text
Article -
98
Ranking Fuzzy Numbers with a Distance Method using Circumcenter of Centroids and an Index of Modality
Published 2011-01-01Get full text
Article -
99
Retracted: Evaluation Model and Decision Analysis of Digital Firms Ranked in Forbes’ Top Companies
Published 2024-01-01Get full text
Article -
100
Vibration Transfer Path Analysis and Path Ranking for NVH Optimization of a Vehicle Interior
Published 2014-01-01Get full text
Article