Results 91 to 100 of about 152,595 (295)

Defect‐Healed Au/rGO Coating for the Corrosion Protection of PEMFC Bipolar Plates

open access: yesAdvanced Materials Technologies, EarlyView.
 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

open access: yesComplex & Intelligent Systems
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

Fuzzy K-expectiles clustering

open access: yesStatistics and Computing
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

open access: yesAdvanced Materials Technologies, EarlyView.
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]

open access: yes
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

Two‐Photon Polymerized Microvascular Environments for Multicellular Modeling of the Blood–Brain Tumor Barrier

open access: yesAdvanced Materials Technologies, EarlyView.
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]

open access: yes
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]

open access: yes, 2007
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 Imaging of Cellular Nanopores Facilitated by Transparent Polymer Waveguide Chips

open access: yesAdvanced Optical Materials, Volume 13, Issue 8, March 13, 2025.
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

open access: yesAxioms, 2018
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

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