Results 81 to 90 of about 172,977 (352)

Assembling a True “Olympic Gel” From over 16 000 Combinatorial DNA Rings

Advanced Materials, EarlyView.
Olympic gels are an elusive class of soft matter, consisting of molecular networks held together purely by mechanically interlocked rings. Their topological structure promises unique properties and functions, but their synthesis has proven notoriously difficult.
Sarah K. Speed, Yu‐Hsuan Peng, Azra Atabay, Krishna Gupta, Toni Müller, Carolin Fischer, Ilka M. Hermes, Jens‐Uwe Sommer, Michael Lang, Elisha Krieg   +9 more
wiley   +1 more source

Color Image Segmentation Using Fuzzy C-Regression Model

Advances in Fuzzy Systems, 2017
Image segmentation is one important process in image analysis and computer vision and is a valuable tool that can be applied in fields of image processing, health care, remote sensing, and traffic image detection. Given the lack of prior knowledge of the
Min Chen, Simone A. Ludwig
doaj   +1 more source

Conductive Hydrogels for Exogenous Sensing and Cell Fate Control

Advanced Materials, EarlyView.
We engineer electrically conductive hydrogels by combining sulfated glycosaminoglycans with semiconducting polymers. These hydrogels bind bioactive proteins, including growth factors, whose release or retention can be modulated by low‐voltage stimulation. The hydrogels are also integrated as 3D channels in organic electrochemical transistors as part of
Teuku Fawzul Akbar, Carlos Alejandro Jimenez‐Rodriguez, Railia Biktimirova, Ilka Hermes, Thomas Kurth, My Duyen Pham, Mikhail Tsurkan, Jens Friedrichs, Francis L. C. Morgan, Hans Kleemann, Olga Guskova, Uwe Freudenberg, Peter Fratzl, Carsten Werner, Christoph Tondera, Ivan R. Minev   +15 more
wiley   +1 more source

Fuzzy clustering with volume prototypes and adaptive cluster merging [PDF]

, 2002
Two extensions to the objective function-based fuzzy clustering are proposed. First, the (point) prototypes are extended to hypervolumes, whose size can be fixed or can be determined automatically from the data being clustered.
Kaymak, U, Setnes, M
core   +1 more source

Fuzzy clustering of intuitionistic fuzzy data

International Journal of Business Intelligence and Data Mining, 2008
Challenged by real-world clustering problems this paper proposes a novel fuzzy clustering scheme of datasets produced in the context of intuitionistic fuzzy set theory. More specifically, we introduce a variant of the Fuzzy C-Means (FCM) clustering algorithm that copes with uncertainty and a similarity measure between intuitionistic fuzzy sets, which ...
Pelekis, N., Lakovidis, D.K., Kotsifakos, E.E., Kopanakis, I.   +3 more
openaire   +2 more sources

Advances in Halide Perovskites for Photon Radiation Detectors

Advanced Materials Technologies, EarlyView.
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, Jieqi Wang, Xiaojun Cui, Carsten Ronning   +3 more
wiley   +1 more source

A Fuzzy Granular K-Means Clustering Method Driven by Gaussian Membership Functions

Mathematics
The K-means clustering algorithm is widely applied in various clustering tasks due to its high computational efficiency and simple implementation.
Junjie Huang, Biyun Lan, Haibo Huang, Tiancai Huang, Yumin Chen   +4 more
doaj   +1 more source

Robust Self-Sparse Fuzzy Clustering for Image Segmentation

IEEE Access, 2020
Traditional fuzzy clustering algorithms suffer from two problems in image segmentations. One is that these algorithms are sensitive to outliers due to the non-sparsity of fuzzy memberships.
Xiaohong Jia, Tao Lei, Xiaogang Du, Shigang Liu, Hongying Meng, Asoke K. Nandi   +5 more
doaj   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

Advanced 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, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

Performance characterization of clustering algorithms for colour image segmentation [PDF]

, 2006
This paper details the implementation of three traditional clustering techniques (K-Means clustering, Fuzzy C-Means clustering and Adaptive K-Means clustering) that are applied to extract the colour information that is used in the image segmentation ...
Ghita, Ovidiu, Ilea, Dana E., Whelan, Paul F.   +2 more
core