Results 31 to 40 of about 1,718,703 (323)

Neighborhood Rough Fuzzy Penetration Control Method with Variable Precision Based on GMAW

Applied Sciences, 2023
Considering the nonlinear, time-varying, and multivariate coupling nature of the welding process, achieving excellent control of the welding process can be challenging.
Xiaohong Xiang, Zhiqiang Feng, Hao Yuan, Xianping Zeng, Zufu Pan, Xin Li, Quan Li, Xiaohu Huang   +7 more
doaj   +1 more source

Six-Set Approximation Theorem of neighborhood related rough sets

International Journal of Approximate Reasoning, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Liwen Ma, Hui Lu
openaire   +3 more sources

Autonomous clustering using rough set theory [PDF]

, 2008
This paper proposes a clustering technique that minimises the need for subjective human intervention and is based on elements of rough set theory. The proposed algorithm is unified in its approach to clustering and makes use of both local and global ...
Chandra Kambhampati, Charlotte Bean, Kambhampati, Chandra, Bean, Charlotte   +3 more
core   +1 more source

Multi-label feature selection based on fuzzy neighborhood rough sets

Complex & Intelligent Systems, 2022
Multi-label feature selection, a crucial preprocessing step for multi-label classification, has been widely applied to data mining, artificial intelligence and other fields.
Jiucheng Xu, Kaili Shen, Lin Sun
semanticscholar   +1 more source

Two Different Views for Generalized Rough Sets with Applications

Mathematics, 2021
Rough set philosophy is a significant methodology in the knowledge discovery of databases. In the present paper, we suggest new sorts of rough set approximations using a multi-knowledge base; that is, a family of the finite number of general binary ...
Radwan Abu-Gdairi, Mostafa A. El-Gayar, Mostafa K. El-Bably, Kamel K. Fleifel   +3 more
doaj   +1 more source

3D City Reconstruction: A Novel Method for Semantic Segmentation and Building Monomer Construction Using Oblique Photography

Applied Sciences, 2023
Existing 3D city reconstruction via oblique photography can only produce surface models, lacking semantic information about the urban environment and the ability to incorporate all individual buildings.
Wenqiang Xu, Yongnian Zeng, Changlin Yin
doaj   +1 more source

Feature Selection for Multi-Label Learning Based on F-Neighborhood Rough Sets

IEEE Access, 2020
Multi-label learning is often applied to handle complex decision tasks, and feature selection is its essential part. The relation of labels is always ignored or not enough to consider for both multi-label learning and its feature selection.
Zhixuan Deng, Zhonglong Zheng, Dayong Deng, Tianxiang Wang, Yiran He, Dawei Zhang   +5 more
doaj   +1 more source

Salmonella lipopolysaccharide‐containing supported lipid bilayers as platforms to study bacteriophage interactions

FEBS Letters, EarlyView.
We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace, Alyssa Borges, Charles Arnaud, Tove Karlsson, Nina K. Bröker, Stefanie Barbirz, Marta Bally   +6 more
wiley   +1 more source

ABL kinase‐dependent phosphorylation of SH proteins promotes their direct interaction with CRK family SH2 domains

FEBS Letters, EarlyView.
CT10 regulator of kinase (CRK) and CRK‐Like (CRKL) are signaling adaptors driving cell adhesion, motility, differentiation, and proliferation. SH2‐domain containing (SH) proteins are enriched in YXXP motifs which when phosphorylated create preferred binding sites for CRK family SH2 domains.
Phoebe M. Cousens, Brendan W. Chandler, Anna M. Schmoker, Jaye L. Weinert, Charlotte A. Kearns, Warren T. Yacawych, Amila Šemić, Alicia M. Ebert, Bryan A. Ballif   +8 more
wiley   +1 more source

Attribute Reduction of Incomplete Neighborhood Decision Rough Sets Based on Decision‑Cost Fusion Measures

Shuju Caiji Yu Chuli
Attribute reduction relies on knowledge granulation and uncertainty measurement， thus facilitating intelligent recognition. For incomplete continuous data， neighborhood decision rough sets induce attribute reduction.
ZHANG Wanxiang, ZHANG Xianyong, YANG Jilin, CHEN Benwei   +3 more
doaj   +1 more source