Results 101 to 110 of about 948,152 (383)
Bit Reduced FCM with Block Fuzzy Transforms for Massive Image Segmentation
Information, 2020 A novel bit reduced fuzzy clustering method applied to segment high resolution massive images is proposed. The image is decomposed in blocks and compressed by using the fuzzy transform method, then adjoint pixels with same gray level are binned and the ...
Barbara Cardone, Ferdinando Di Martino
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Analysis of fuzzy clustering and a generic fuzzy rule-based image segmentation technique
, 2001 Many fuzzy clustering based techniques when applied to image segmentation do not incorporate spatial relationships of the pixels, while fuzzy rule-based image segmentation techniques are generally application dependent. Also for most of these techniques,
Dooley, Laurence S., Karmakar, Gour C.
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Clustering of TS-fuzzy system [PDF]
, 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
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Advanced Functional Materials, EarlyView.A large number of MoS2 flakes were screened to obtain high‐quality flakes based on optical intensities in R, G, and B channel images. The flakes were classified from Level 1 to 6 based on optical intensities in the R, G, and B channel images. Low‐quality flake exhibited wrinkled, folded, or overlapped features, while high‐quality displayed a neat ...
Sanghyun Lee +11 more
wiley +1 more source
TOWARDS FINDING A NEW KERNELIZED FUZZY C-MEANS CLUSTERING ALGORITHM [PDF]
Journal of Process Management and New Technologies, 2014 Kernelized Fuzzy C-Means clustering technique is an attempt to improve the performance of the conventional Fuzzy C-Means clustering technique. Recently this technique where a kernel-induced distance function is used as a similarity measure instead ...
Samarjit Das, Hemanta K. Baruah
doaj
Advanced Functional Materials, EarlyView.Gold bipyramids can act as efficient plasmonic nanoheaters, but they often reshape during laser heating. This study shows that oxygen nanobubbles drive oxidative etching and that surface ligands control stability. CTAB‐ and citrate‐coated particles blunt and lose optical performance, whereas polystyrene sulfonate preserves shape and heating by ...
Irene López‐Sicilia +7 more
wiley +1 more source
Penentuan Banyak Kelompok dalam Fuzzy C-Means Cluster Berdasarkan Proporsi Eigen Value Dari Matriks Similarity dan Indeks XB (Xie dan Beni) [PDF]
, 2009 Dalam analisis pengelompokkan (cluster), banyak kelompok menjadi suatu masalah yang berarti. Beberapa peneliti memilih banyak kelompok sesuai dengan kebutuhan dalam penelitiannya.
Anindya Apriliyanti, Pravitasari
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Advanced Healthcare Materials, EarlyView.Organelle localization‐induced biorthogonal polymerization enables direct synthesis of photostable poly‐AIEgens within targeted organelles for super‐resolution live‐cell imaging. ABSTRACT Real‐time monitoring of dynamic biological processes demands fluorescent probes that can withstand prolonged light exposure without photobleaching—a critical ...
Gaeun Park +4 more
wiley +1 more source
Advanced Healthcare Materials, EarlyView.A human microfluidic blood‐brain barrier (mBBB) model enables spatially resolved comparison of nanoparticle trafficking. Extracellular vesicles (EVs), liposomes, and nanoplastics exhibit distinct transport and disruption behaviors, revealing that membrane composition and uptake pathways govern BBB interaction.
Bryan B. Nguyen +9 more
wiley +1 more source
IMPLEMENTASI FUZZY C-MEANS CLUSTERING DALAM PENENTUAN BEASISWA
Barekeng, 2017 Logika fuzzy merupakan salah satu komponen pembentuk Soft Computing, yaitu suatu cara yang tepat untuk memetakan suatu ruang input ke dalam suatu ruang output.
Dorteus L. Rahakbauw +2 more
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