Results 81 to 90 of about 375,352 (295)

Fuzzy C-Means Clustering Using Asymmetric Loss Function

Journal of Statistical Theory and Applications (JSTA), 2020
In this work, a fuzzy clustering algorithm is proposed based on the asymmetric loss function instead of the usual symmetric dissimilarities. Linear Exponential (LINEX) loss function is a commonly used asymmetric loss function, which is considered in this
Israa Abdzaid Atiyah, Adel Mohammadpour, Narges Ahmadzadehgol, S. Mahmoud Taheri   +3 more
doaj   +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  

Viscoelasticity‐Induced Controllable Periodic Meso‐Textures of Liquid Crystal Polymers in Additive Manufacturing

Advanced Functional Materials, EarlyView.
Viscoelasticity‐driven instabilities are harnessed to create tunable, periodic textures in 3D‐printed liquid crystalline polymers. This study illustrates how processing parameters control these spontaneous meso‐scale patterns. These unique structural architectures unlock new possibilities for functional devices, ranging from photonic components to ...
Miaomiao Zou, Jiongyi Yan, Dick F. Firdaus, Amy Jin, Jiaxuan Li, Shushan Wang, Ran Chen, Xudong Tao, Zehao Ji, Yi Liu, Zichen Wang, Christos Margadji, Mark Kotter, J. Axel Zeitler, George G. Malliaras, Ronan Daly, Andrew Gleadall, Sebastian W. Pattinson   +17 more
wiley   +1 more source

” Enhancing Accuracy of Neutrosophic –C means and Fuzzy C means with Application on insurance companies retention limit [PDF]

Maǧallaẗ Al-Buḥūṯ Al-Mālīyyaẗ wa Al-Tiğāriyyaẗ
This study proposed two Methods of clustering including neutrosophic C- means and Fuzzy C-means with application on two insurance companies, contained, misr insurance company and suez canal insurance company.
نيفين محسن أحمد زكى
doaj   +1 more source

Electron–Matter Interactions During Electron Beam Nanopatterning

Advanced Functional Materials, EarlyView.
This article reviews the electron–matter interactions important to nanopatterning with electron beam lithography (EBL). Electron–matter interactions, including secondary electron generation routes, polymer radiolysis, and electron beam induced charging, are discussed.
Camila Faccini de Lima, Prathiba Thamizhavel, Taylor J. Woehl   +2 more
wiley   +1 more source

Perhitungan Jumlah Dan Jenis Kendaraan Menggunakan Metode Fuzzy C-means Dan Segmentasi Deteksi Tepi Canny [PDF]

, 2013
Pada Penelitian ini memungkinkan kita untuk melakukan perhitungan kendaraan dengan cepat dan mudah dengan menggunakan metode deteksi tepi Canny untuk proses segmentasi dan Fuzzy C-Means untuk menghitung kendaraan.
Muslim, M. A. (M), Sarosa, M. (M), Wibowo, D. W. (Dimas)   +2 more
core  

Perbandingan Algoritma C-Means Clustering dan Fuzzy C-Means Clustering

Ultima Computing : Jurnal Sistem Komputer, 2019
Salah satu operasi di dalam analisis citra adalah segmentasi citra. Pada mulanya proses segmentasi dilakukan untuk memisahkan objek dari latar belakangnya, sehingga segmentasi merupakan bagian penting dalam pengenalan objek. Saat ini segmentasi sudah mengalami perkembangan yang sangat pesat, bukan hanya untuk tujuan pengenalan objek saja tetapi juga ...
Abi Kabisah Maulillah, Adhi Kusnadi
openaire   +2 more sources

Stoma‐Shell Nanoarchitecture for Enhanced Plasma Confinement Catalysis in Synthesis of Ethanol from CO2

Advanced Functional Materials, EarlyView.
High‐energy electron impact in plasma catalysis often causes excessive dissociation of active intermediates, limiting C2+ product selectivity. To address this challenge, a bio‐inspired stoma‐shell nanoarchitecture is designed to decouple electron impact from catalytic reaction zones.
Nan Zou, Zhiliang Dong, Tsun‐Kong Sham, Xiaonian Li, Ying Zheng, Ting Qiu   +5 more
wiley   +1 more source

Financial distress prediction for listed enterprises using Fuzzy C-Means

Littera Scripta, 2019
Enterprise financial distress prediction model is an important tool for enterprise risk management. Fuzzy C-Means (FCM) model is more suitable for the classification calculation in reality because of introducing the fuzzy membership.
Lu Wang
doaj  

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
doaj   +1 more source