Results 71 to 80 of about 948,152 (383)
Telematika, 2023 The industrial business sector plays a role in the development of the economic sector in developing countries such as Indonesia. In this case, many industrial businesses are growing, but the data has not been processed or analyzed to produce important information that can be processed into knowledge using data mining.
Mega Lestari +4 more
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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 +17 more
wiley +1 more source
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 +5 more
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A Novel Linguistic Relational Fuzzy C-Means
IEEE AccessIn real-world applications, sometimes there are uncertainties in the data sets whether from the collection process or from the natural languages. Moreover, the data may come in the form of fuzzy relation.
Peerawich Phaknonkul +2 more
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Performance of Clustering on ANFIS for Weather Forecasting
CommIT Journal, 2018 This paper proposes the comparison of using K-Means and Fuzzy C-Means (FCM) to optimize the premise parameters on Adaptive Neuro-Fuzzy Inference System (ANFIS) for weather forecasting.
Candra Dewi
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Conditional semi‐fuzzy c‐means clustering for imbalanced dataset
IET Image Processing, 2020 Fuzzy c‐means algorithms have been widely utilised in several areas such as image segmentation, pattern recognition and data mining. However, the related studies showed the limitations in facing imbalanced datasets. The maximum fuzzy boundary tends to be
Yunlong Gao +4 more
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Imaging of Biphoton States: Fundamentals and Applications
Advanced Functional Materials, EarlyView.Quantum states of two photons exhibit a rich polarization and spatial structure, which provides a fundamental resource of strongly correlated and entangled states. This review analyzes the physics of these intriguing properties and explores the various techniques and technologies available to measure them, including the state of the art of their ...
Alessio D'Errico, Ebrahim Karimi
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KLASTERING INDUSTRI DI KABUPATEN KUDUS MENGGUNAKAN METODE FUZZY C-MEANS
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer, 2016 Penelitian ini menggunakan metode klastering Fuzzy C Means, yang digunakan untuk klastering industri di Kabupaten Kudus, teori ini merupakan penggunaan dari teori klastering Fuzzy C Means. Klastering industri di kabupaten Kudus dilaksanakan sebagai upaya
Pratomo Setiaji, Wiwit Agus Triyanto
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A Comparison of Fuzzy Clustering Algorithms Applied to Feature Extraction on Vineyard [PDF]
, 2011 Image segmentation is a process by which an image is partitioned into regions with similar features. Many approaches have been proposed for color image segmentation, but Fuzzy C-Means has been widely used, because it has a good performance in a large ...
Barreiro Elorza, Pilar +4 more
core
Fuzzy image segmentation of generic shaped clusters [PDF]
, 2005 The segmentation performance of any clustering algorithm is very sensitive to the features in an image, which ultimately restricts their generalisation capability.
Ali, M. A. +2 more
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