Results 141 to 150 of about 948,152 (383)
A Novel Approach towards use of Adaptive Multiple Kernels in Interval Type-2 Possibilistic Fuzzy C-Means [PDF]
Won-Hee Joo, Frank Chung-Hoon Rhee
openalex +1 more source
Optical Detection and Modeling of Lithium Deposition on Copper Current Collectors
ABSTRACT Understanding lithium (Li) deposition on copper (Cu) substrates is essential for improving the performance and lifetime of zero–excess lithium metal batteries. In this study, Li deposition was investigated under realistic coin–cell conditions using complementary scanning electron microscopy and laser scanning microscopy. A semi–automatic image
Tjark T. K. Ingber +4 more
wiley +1 more source
Regionalization of flow duration curves in the Amazon with the definition of homogeneous regions via fuzzy C-means [PDF]
Francisco Carlos Lira Pessoa +2 more
openalex +1 more source
Self-organization and clustering algorithms [PDF]
Kohonen's feature maps approach to clustering is often likened to the k or c-means clustering algorithms. Here, the author identifies some similarities and differences between the hard and fuzzy c-Means (HCM/FCM) or ISODATA algorithms and Kohonen's self ...
Bezdek, James C.
core +1 more source
Advances in Halide Perovskites for Photon Radiation Detectors
This work highlights recent progress in perovskite‐based photon radiation detectors, covering organic–inorganic hybrid, inorganic, lead‐free double, and vacancy‐ordered halide perovskites. Their detection performance is compared, material‐specific advantages and challenges are examined, and provides insight into current limitations and future ...
Liangling Wang +3 more
wiley +1 more source
This manuscript describes the design and validation of an innovative melt electrowriting printer. With a turntable collector and modular software architecture, it unifies previous advanced MEW printer capabilities and enhances adaptability for a wide range of research applications.
Timo Baroth +3 more
wiley +1 more source
Beta Distribution Weighted Fuzzy C-Ordered-Means Clustering
The fuzzy C-ordered-means clustering (FCOM) is a fuzzy clustering algorithm that enhances robustness and clustering accuracy through the ordered mechanism based on fuzzy C-means (FCM).
Hengda Wang +2 more
doaj +1 more source
A novel sample holder compatible with the Zeiss Lightsheet 7 microscope improves imaging of spheroids embedded in collagen matrices. By enabling dual‐sided illumination, it enhances image quality and quantitative analysis of migrating cells. This method advances 3D light sheet microscopy for studying tumor invasion and therapeutic responses.
Masoumeh Mohamadian Namaqi +5 more
wiley +1 more source
Mixed fuzzy C-means clustering
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +2 more sources
Soft multimaterial optical fibers integrate multiple functionalities—such as waveguiding, side emission, sensing, drug delivery or actuation—into a single filament for wearable, implantable, and tissue‐integrated devices for diagnostics and phototherapy.
Zahra Kafrashian +2 more
wiley +1 more source

