Results 91 to 100 of about 152,595 (295)
Defect‐Healed Au/rGO Coating for the Corrosion Protection of PEMFC Bipolar Plates
A defect‐healed gold/reduced graphene oxide (Au/rGO) coating is presented for stainless steel bipolar plates in polymer electrolyte membrane fuel cells. Gold nanoparticles nucleate at graphene oxide defects, blocking corrosive ion penetration and enhancing corrosion resistance, thereby ensuring durable fuel cell operation.
Jinmyeong Seo +6 more
wiley +1 more source
A robust multi-view knowledge transfer-based rough fuzzy C-means clustering algorithm
Rough fuzzy clustering algorithms have received extensive attention due to the excellent ability to handle overlapping and uncertainty of data. However, existing rough fuzzy clustering algorithms generally consider single view clustering, which neglects ...
Feng Zhao +3 more
doaj +1 more source
Abstract In this paper the Fuzzy K-expectiles clustering model is proposed. The model takes into account the asymmetry inherent in the data distribution, extending its applicability to a broader spectrum of data than the Fuzzy K-means. To achieve this, the Fuzzy K-expectiles clustering model introduces the cluster centroid expectile, and ...
Pierpaolo D’Urso +3 more
openaire +3 more sources
Recent Advances of Slip Sensors for Smart Robotics
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
Extended Fuzzy Clustering Algorithms [PDF]
Fuzzy clustering is a widely applied method for obtaining fuzzy models from data. Ithas been applied successfully in various fields including finance and marketing.
Kaymak, U., Setnes, M.
core +1 more source
Modeling the blood–brain tumor barrier is challenging due to complex interactions between brain microvasculature and glioma cells. We present two‐photon polymerized 3D micro‐porous capillary‐like structures that support endothelial alignment, cytoskeletal organization, and pericyte‐endothelial‐glioma tri‐cultures.
Nastaran Barin +9 more
wiley +1 more source
Global Optimization strategies for two-mode clustering [PDF]
Two-mode clustering is a relatively new form of clustering that clusters both rows and columns of a data matrix. To do so, a criterion similar to k-means is optimized.
Castilli, W. +3 more
core +1 more source
Clustering of TS-fuzzy system [PDF]
This paper presents a fuzzy c-means clustering method for partitioning symbolic interval data, namely the T-S fuzzy rules. The proposed method furnish a fuzzy partition and prototype for each cluster by optimizing an adequacy criterion based on suitable ...
Igrejas, Getúlio, Salgado, Paulo
core
Correlative super‐resolution optical imaging of the ultrastructure of rat liver sinusoidal endothelial cells (LSECs) across a large field of view (FOV) with 3D structured illumination microscopy (3D‐SIM) and single‐molecule localization microscopy (SMLM), facilitated by a transparent polymer photonic waveguide chip, is presented.
Surjendu Bikash Dutta +9 more
wiley +1 more source
Single-Valued Neutrosophic Clustering Algorithm Based on Tsallis Entropy Maximization
Data clustering is an important field in pattern recognition and machine learning. Fuzzy c-means is considered as a useful tool in data clustering. The neutrosophic set, which is an extension of the fuzzy set, has received extensive attention in solving ...
Qiaoyan Li +3 more
doaj +1 more source

