Results 101 to 110 of about 376,662 (290)

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
core  

Conductive Hydrogels for Exogenous Sensing and Cell Fate Control

Advanced Materials, EarlyView.
We engineer electrically conductive hydrogels by combining sulfated glycosaminoglycans with semiconducting polymers. These hydrogels bind bioactive proteins, including growth factors, whose release or retention can be modulated by low‐voltage stimulation. The hydrogels are also integrated as 3D channels in organic electrochemical transistors as part of
Teuku Fawzul Akbar, Carlos Alejandro Jimenez‐Rodriguez, Railia Biktimirova, Ilka Hermes, Thomas Kurth, My Duyen Pham, Mikhail Tsurkan, Jens Friedrichs, Francis L. C. Morgan, Hans Kleemann, Olga Guskova, Uwe Freudenberg, Peter Fratzl, Carsten Werner, Christoph Tondera, Ivan R. Minev   +15 more
wiley   +1 more source

Comparison of K-Means and Fuzzy C-Means for Regional Clustering Based on Unmet Need Determinants in East Java

Journal of Applied Informatics and Computing
Unmet need for family planning (KB) refers to a condition in which fertile couples wish to delay or stop pregnancy but are not using any contraceptive methods.
Arina Nihayata Husna, Nurissaidah Ulinnuha   +1 more
doaj   +1 more source

Analisis Fuzzy C-Means dan Penerapannya Dalam Pengelompokan Kabupaten/Kota di Provinsi Sulawesi Selatan Berdasarkan Faktor-faktor Penyebab Gizi Buruk [PDF]

, 2018
Abstrak. Dalam analisis pengeompokan (cluster), banyak kelompok menjadi suatu masalah yang berarti. Beberapa peneliti memiliki banyak kelompok sesuai dengan kebutuhan dalam penelitiannya.
Sanusi, Wahidah
core  

Double‐Transition‐Metal MXenes: Multimetallic 2D Platforms for Next‐Generation Biomedicine

Advanced Materials, EarlyView.
The present work explores recent progress in double‐transition‐metal MXenes and focuses on their potential as multifunctional biomedical nanoplatforms whose tunable optical, electronic, mechanical, and surface properties enable imaging, theranostics, antimicrobial activity, biosensing, tissue engineering, and drug delivery.
Parsa Namakiaraghi, Mohammad Mozafari, Masoud Soroush   +2 more
wiley   +1 more source

Sleeping posture recognition using fuzzy c-means algorithm

BioMedical Engineering OnLine, 2018
Background Pressure sensors have been used for sleeping posture detection, which meet privacy requirements. Most of the existing techniques for sleeping posture recognition used force-sensitive resistor (FSR) sensors.
Rong-Shue Hsiao, Tian-Xiang Chen, Mekuanint Agegnehu Bitew, Chun-Hao Kao, Tzu-Yu Li   +4 more
doaj   +1 more source

On The Noise Distance In Robust Fuzzy C-Means

, 2007
In the last decades, a number of robust fuzzy clustering algorithms have been proposed to partition data sets affected by noise and outliers. Robust fuzzy C-means (robust-FCM) is certainly one of the most known among these algorithms. In robust-FCM, noise is modeled as a separate cluster and is characterized by a prototype that has a constant distance ...
CIMINO, MARIO GIOVANNI COSIMO ANTONIO, FROSINI, GRAZIANO, LAZZERINI, BEATRICE, MARCELLONI, FRANCESCO   +3 more
openaire   +3 more sources

Advances in Halide Perovskites for Photon Radiation Detectors

Advanced Materials Technologies, EarlyView.
This work highlights recent progress in perovskite‐based photon radiation detectors, covering organic–inorganic hybrid, inorganic, lead‐free double, and vacancy‐ordered halide perovskites. Their detection performance is compared, material‐specific advantages and challenges are examined, and provides insight into current limitations and future ...
Liangling Wang, Jieqi Wang, Xiaojun Cui, Carsten Ronning   +3 more
wiley   +1 more source

Decomposition of a greenhouse TS-Fuzzy model by clustering process [PDF]

, 2007
This paper presents a fuzzy c-means clustering method for decompose a T-S fuzzy system. This technique is used to organize the fuzzy greenhouse climate model into a new structure more interpretable, as in the case of the physical model.
Igrejas, Getúlio, Salgado, Paulo
core  

Vat Polymerization 3D Printing for Controlled Drug Release Applications

Advanced Materials Technologies, EarlyView.
ABSTRACT Vat polymerization (VP) 3D printing, a light‐based additive manufacturing technique, has emerged as a promising technique for fabricating complex drug delivery systems with high precision and spatial resolution. This layer‐by‐layer manufacturing process enables the creation of intricate geometries and customizable architectures, which are ...
Hafiz Busari, O. Thompson Mefford, M. Aaron Vaughn   +2 more
wiley   +1 more source