Results 61 to 70 of about 112,252 (298)
Optimasi Cluster Pada Fuzzy C-Means Menggunakan Algoritma Genetika Untuk Menentukan Nilai Akhir
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2013 Abstrak Nilai akhir mahasiswa dapat ditentukan dengan berbagai cara, beberapa diantaranya menggunakan range nilai, standart deviasi, dll. Dalam penelitian ini akan ditawarkan sebuah metode baru untuk menentukan nilai akhir mahasiswa menggunakan ...
Putri Elfa Mas`udia, Retantyo Wardoyo
doaj +1 more source
Nano‐ and Micro‐Sized Solid Materials Used as Antiviral Agents
Advanced Functional Materials, EarlyView.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
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
core
Electricity load profile classification using Fuzzy C-Means method [PDF]
, 2008 This paper presents the Fuzzy C-Means (FCM) clustering method. The FCM technique assigns a degree of membership for each data set to several clusters, thus offering the opportunity to deal with load profiles that could belong to more than one group at ...
Bradley, D. +3 more
core +3 more sources
Fuzzy c-means clustering with prior biological knowledge
Journal of Biomedical Informatics, 2009 We propose a novel semi-supervised clustering method called GO Fuzzy c-means, which enables the simultaneous use of biological knowledge and gene expression data in a probabilistic clustering algorithm. Our method is based on the fuzzy c-means clustering algorithm and utilizes the Gene Ontology annotations as prior knowledge to guide the process of ...
Tari, Luis +2 more
openaire +2 more sources
Advanced Functional Materials, EarlyView.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
Image Compression Based on Artificial Intelligent Techniques [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2009 This research present four methods to compress digital images using clustering based on artificial intelligent techniques that include neural network, fuzzy logic and hybrid between them.
Shahbaa Khaleel +2 more
doaj +1 more source
Advanced Functional Materials, EarlyView.Cephalopod‐inspired photonic microparticles with dynamic structural coloration are fabricated via confined self‐assembly of linear block copolymers into ellipsoids containing stacked lamellae. Embedded superparamagnetic nanoparticles enable rapid magnetic alignment, restoring vivid, angle‐dependent color.
Gianluca Mazzotta +8 more
wiley +1 more source
Jurnal Teknologi Informasi dan Ilmu Komputer, 2020 Diabetic Retinopathy adalah komplikasi dari diabetes yang mengakibatkan gangguan pada retina mata. Gangguan tersebut dapat diketahui dengan deteksi awal melalui data yang diekstraksi dari citra mata. Deteksi awal dapat dilakukan dengan menggunakan metode
Muhammad Ezar Al Rivan +2 more
doaj +1 more source
A soft hierarchical algorithm for the clustering of multiple bioactive chemical compounds [PDF]
, 2007 Most of the clustering methods used in the clustering of chemical structures such as Wards, Group Average, K- means and Jarvis-Patrick, are known as hard or crisp as they partition a dataset into strictly disjoint subsets; and thus are not suitable for ...
Salim, Naomie, Shah, J. Z.
core +1 more source