Results 311 to 320 of about 13,970,863 (343)

The G-module ker π

1973
W. Kallen
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$$G$$-Module Maps

p-Adic Numbers, Ultrametric Analysis and Applications, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Isomorphism theorems for soft G-modules

Afrika Matematika, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mehmet Şahin, Necati Olgun, Abdullah Kargın, Vakkas Uluçay   +3 more
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Extensions of G by a G-module

1973
W. Kallen
openaire   +2 more sources

Fuzzy Lattice Ordered G-modules

International Journal of Fuzzy System Applications, 2019
The study of mathematics emphasizes precision, accuracy, and perfection, but in many of the real-life situations, people face ambiguity, vagueness, imprecision, etc. Fuzzy set theory and rough set theory are two innovative tools in mathematics which are used for decision-making in vague and uncertain information systems. Fuzzy algebra has a significant
Ursala Paul, Paul Isaac
openaire   +1 more source

A Battery‐Like Self‐Charge Universal Module for Motional Energy Harvest

Advanced Energy Materials, 2019
Wearable and portable electronics have brought great convenience. These battery‐powered commercial devices have a limited lifetime and require recharging, which makes more extensive applications challenging.
Puchuan Tan, Qiang Zheng, Yang Zou, Bojing Shi, Dongjie Jiang, Xuecheng Qu, Ouyang Han, Chaochao Zhao, Yu Cao, Yubo Fan, Zhong Lin Wang, Zhou Li   +11 more
semanticscholar   +1 more source

Lightweight Remote Sensing Change Detection With Progressive Feature Aggregation and Supervised Attention

IEEE Transactions on Geoscience and Remote Sensing, 2023
Remote sensing change detection (RSCD) aims to explore surface changes from co-registered pair of images. However, the high cost of memory and computation in previous convolutional neural network (CNN)-based methods prevent their successes from being ...
Zhenglai Li, Chang Tang, Xinwang Liu, Wei Zhang, Jie Dou, Lizhe Wang, A. Zomaya   +6 more
semanticscholar   +1 more source

DualGraph: Improving Semi-supervised Graph Classification via Dual Contrastive Learning

IEEE International Conference on Data Engineering, 2022
In this paper, we study semi-supervised graph classification, a fundamental problem in data mining and machine learning. The problem is typically solved by learning graph neural networks with pseudo-labeling or knowledge distillation to incorporate both ...
Xiao Luo, Wei Ju, Meng Qu, C. Chen, Minghua Deng, Xiansheng Hua, Ming Zhang   +6 more
semanticscholar   +1 more source