Results 81 to 90 of about 112,252 (298)
Fuzzy Clustering dalam Pengclusteran Data Curah Hujan Kota Bengkulu dengan Algoritma C-means [PDF]
, 2014 This study was conducted to design Clustering using Fuzzy C - Means algorithm rainfall data in the city of Bengkulu and evaluate performance C - Means Algorithm to generate the level of location accuracy in forecasting monthly rainfall Climatological ...
Sari, H. L. (Herlina)
core
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 +3 more
wiley +1 more source
Analysis of fuzzy clustering and a generic fuzzy rule-based image segmentation technique
, 2001 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.
core
Defect‐Healed Au/rGO Coating for the Corrosion Protection of PEMFC Bipolar Plates
Advanced Materials Technologies, EarlyView.A defect‐healed gold/reduced graphene oxide (Au/rGO) coating is presented for stainless steel bipolar plates in polymer electrolyte membrane fuel cells. Gold nanoparticles nucleate at graphene oxide defects, blocking corrosive ion penetration and enhancing corrosion resistance, thereby ensuring durable fuel cell operation.
Jinmyeong Seo +6 more
wiley +1 more source
Promet (Zagreb), 2012 This paper compares two fuzzy clustering algorithms – fuzzy subtractive clustering and fuzzy C-means clustering – to a multi-layer perceptron neural network for their ability to predict the severity of crash injuries and to estimate the response time on ...
Iman Aghayan +2 more
doaj +1 more source
Global Optimization strategies for two-mode clustering [PDF]
Two-mode clustering is a relatively new form of clustering that clusters both rows and columns of a data matrix. To do so, a criterion similar to k-means is optimized.
Castilli, W. +3 more
core +1 more source
Penentuan Kelompok Jaringan Logistik pada Wilayah Kepulauan Menggunakan Fuzzy C-Means [PDF]
, 2018 Indonesia sebagai negara kepulauan dengan perairan teritorial merupakan salah satu moda transportasi. ntuk kondisi ini , sebagian besar kegiatan dilakukan di laut, seperti distribusi logistik.
Kismanti, S. T. (Shinta) +1 more
core
, 2012 In high energy physics experiments, calorimetric data reconstruction requires a suitable clustering technique in order to obtain accurate information about the shower characteristics such as position of the shower and energy deposition.
Agostinelli +23 more
core +1 more source
Recent Advances of Slip Sensors for Smart Robotics
Advanced Materials Technologies, EarlyView.This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
SISTEM PENENTUAN KALORI HARIAN PENDERITA DIABETES MELITUS DENGAN MODEL LOGIKA FUZZY MAMDANI DAN METODE FUZZY C-MEANS CLUSTERING (FCM) [PDF]
, 2015 Saat ini penyakit diabetes sudah dikenal oleh masyarakat karena keganasannya jika sudah menginfeksi manusia. Penyakit ini muncul ditandai dengan adanya gangguan sistem metabolisme dalam tubuh yang disebabkan dari faktor keturunan atau konsumsi gula ...
Sasongko, Priyo Sidik +1 more
core