Results 91 to 100 of about 375,352 (295)
Analysis of fuzzy clustering and a generic fuzzy rule-based image segmentation technique
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]
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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Nano‐ and Micro‐Sized Solid Materials Used as Antiviral Agents
Due to the rise of viral infections in humans and possible viral outbreaks, the use of nano‐ or micro‐sized materials as antiviral agents is rapidly increasing. This review explores their antiviral properties against RNA and DNA viruses, either as a prevention or a treatment tool, by delving into their mechanisms of action and how to properly assess ...
Orfeas‐Evangelos Plastiras +6 more
wiley +1 more source
A dual‐layer living hydrogel, ProΦGel, integrates bacteriophages and probiotics for synergistic wound infection therapy. The outer gelatin‐based matrix releases phages on demand in response to P. aeruginosa infections, while inner alginate beads sustain probiotic delivery.
Siyuan Tao +6 more
wiley +1 more source
TOWARDS FINDING A NEW KERNELIZED FUZZY C-MEANS CLUSTERING ALGORITHM [PDF]
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
Penentuan Banyak Kelompok dalam Fuzzy C-Means Cluster Berdasarkan Proporsi Eigen Value Dari Matriks Similarity dan Indeks XB (Xie dan Beni) [PDF]
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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This study presents a dynamic interaction between liquid resins and photopolymerized structures enabled by an in situ light‐writing setup. By controlling a three‐phase interface through localized photopolymerization, which provides physical confinement for the remaining uncured resin regions, the approach establishes a programmable pathway that ...
Kibeom Kim +3 more
wiley +1 more source
Quantum sensing reveals intricate patterns linking endo‐lysosomal maturation to cardiac fibrosis progression, highlighting complexity in cellular remodeling. This study investigates fibroblast‐to‐myofibroblast transition under cell aging, stiffness, and TGF‐β stimulation, comparing nanodiamond uptake, endo‐lysosomal dynamics, and free radical ...
Aldona Mzyk +3 more
wiley +1 more source
IMPLEMENTASI FUZZY C-MEANS CLUSTERING DALAM PENENTUAN BEASISWA
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
doaj +1 more source
PENDEKATAN FUZZY CLUSTERING DALAM PENYELESAIAN CVRP [PDF]
CVRP merupakan salah satu persoalan VRP yang paling dasar, CVRP hanya memiliki satu pembatas berupa kapasitas angkut kendaraan, dan hanya memiliki satu depot.
LUKI PRASETYO, : 143010023
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