Results 101 to 110 of about 1,141,336 (343)
Possibilistic clustering for shape recognition [PDF]
Clustering methods have been used extensively in computer vision and pattern recognition. Fuzzy clustering has been shown to be advantageous over crisp (or traditional) clustering in that total commitment of a vector to a given class is not required at ...
Keller, James M., Krishnapuram, Raghu
core +1 more source
Inverse‐Designed on‐Chip Terahertz Three‐Channel Mode and Wavelength Division Demultiplexer
An ultracompact terahertz demultiplexer is developed using a hybrid inverse design that combines genetic algorithms with topology optimization. The device enables simultaneous mode‐ and wavelength‐division multiplexing within a footprint smaller than two wavelengths.
Faqian Chong +5 more
wiley +1 more source
Improved fuzzy partitions for fuzzy regression models
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Höppner, Frank, Klawonn, Frank
openaire +2 more sources
Energy Consumption Optimization in Trajectory Planning for Fuel Cell Hybrid Uavs Based On HMPC
The endurance limitation of multirotor drones is a critical challenge. This study adopts a hybrid power system of fuel cells and lithium‐ion batteries. Using Nondominated Sorting Genetic Algorithm II, it integrates trajectory planning with energy management optimization.
Xindi Wang +7 more
wiley +1 more source
Fuzzy Systems Based on Regular Vague Partitions and Their Approximation Properties [PDF]
This paper is devoted to investigating the approximation problem of fuzzy systems based on different fuzzy basis functions.Firstly,the multi-dimensional regular vague partitions are established based on one-dimensional regular vague partitions and ...
PENG Xiaoyu, PAN Xiaodong, SHEN Hanhan, HE Hongmei
doaj +1 more source
From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley +1 more source
We present three (main one and two auxiliary) fuzzy algorithms to stratify observations in homogenous classes. These algorithms modify, upgrade and fuzzify crisp algorithms from our earlier works on a medical case study to select the most appropriate ...
Natalia Nikolova +4 more
doaj +1 more source
Evolving Large-Scale Data Stream Analytics based on Scalable PANFIS
Many distributed machine learning frameworks have recently been built to speed up the large-scale data learning process. However, most distributed machine learning used in these frameworks still uses an offline algorithm model which cannot cope with the ...
Pardede, Eric +2 more
core +1 more source
Nanoscale Mapping of the Subcellular Glycosylation Landscape
Using multiplexed super‐resolution imaging with fluorophore‐labeled lectins, this study reports intracellular glycosylation at the nanoscale across organelles and synaptic specializations. Extending glycan analysis beyond the cell surface, Glyco‐STORM reveals distinct glycosylation nanodomains in the ER, Golgi, lysosomes, and synaptic sites.
Helene Gregoria Schroeter +4 more
wiley +1 more source
In this work, we investigate the result of dissipative analysis for Takagi–Sugeno fuzzy Markovian jumping neural networks with impulsive perturbations via delay partition approach. By using the Lyapunov–Krasovskii functional and delay partition approach,
V. J. Nirmala +2 more
doaj +1 more source

