Results 31 to 40 of about 14,439,340 (212)
COMPARISON OF THE LINEAR AND THE NON-LINEAR BLOCK ADJUSTMENT ON SATELLITE IMAGES RESEARCH [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 The Rational Function Model （RFM） is a non-linear model. Usually, the RFM-based satellite image block adjustment uses the Taylor series to expand error equations, and then solves the linear model.
C. Li, C. Chen, Z. Guo, Z. Guo, Q. Liu
doaj +1 more source
The RFM Model Analysis for VIP Customer
International Journal of Knowledge Management, 2021 Numerous firms accumulate large quantities of data or transactions after importing information systems and services, which leads to troubles with data procedure. Firms also have demands to find customers’ information from large datasets and to understand how to develop marketing strategies accurately to adjust their operational methods. Therefore, this
Tung-Hsiang Chou, Shu-Chen Chang
openaire +2 more sources
Remote Sensing, 2023 The Gaofen-1 (GF-1) and Gaofen-6 (GF-6) satellites have acquired many GF-1 and GF-6 wide-field-view (WFV) images. These images have been made available for free use globally.
Xiaojun Shan, Jingyi Zhang
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Customer Segmentation Using RFM Model
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana), 2020 At the time of the ASEAN Economic Community (MEA), Indonesia was selected by several companies from other countries to sell its products, including overseas paint companies. Therefore, the increasingly fierce market competition business is unlikely to focus solely on products sold, but it is also important to pay attention to the process of managing ...
I Putu Gede Hendra Suputra +1 more
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Testing and modeling of rockfill materials: A review
Journal of Rock Mechanics and Geotechnical Engineering, 2016 The research development of rockfill materials (RFM) was investigated by a series of large-scale triaxial tests. It is observed that confining pressure and particle breakage play important roles in the mechanical property, dilatancy relation and ...
Yang Xiao +5 more
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A SOLUTION TO LOW RFM FITTING PRECISION OF PLANETARY ORBITER IMAGES CAUSED BY EXPOSURE TIME CHANGING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 In this paper, we propose a new solution to the low RFM fitting precision caused by exposure time changing using sensor correction. First, we establish a new rigorous geometric model, with the same ephemerides, attitudes and sensor design parameters of ...
B. Liu, B. Xu, K. Di, M. Jia
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Profit analysis for RFM, LRFM and LRFMV model using Mini Batch K-means algorithm.
, 2022 Profit analysis for RFM, LRFM and LRFMV model using Mini Batch K-means algorithm.
Rezwana Mahfuza (14285061) +5 more
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Segmentasi Loyalitas Pelanggan dengan Model RFM Menggunakan Algoritma Clarans [PDF]
, 2022 Dalam menentukan upaya kelompok-kelompok pelanggan yang setia perlu melakukan pemeriksaan yang cermat menentukan karakteristik setiap pelanggan dalam bertransaksi.
Darmawan, Novianto Heri
core
ANALISIS LOYALITAS PELANGGAN BERDASARKAN MODEL RFM MENGGUNAKAN ALGORITMA FUZZY C-MEANS PADA RPS COSMETIK PEKANBARU [PDF]
, 2022 MILDA FITRIANI (2022) : ANALISIS LOYALITAS PELANGGAN BERDASARKAN MODEL RFM MENGGUNAKAN ALGORITMA FUZZY C-MEANS PADA RPS COSMETIK PEKANBARU RPS Cosmetik merupakan sebuah bisnis yang bergerak dibidang perdagangan.
MILDA FITRIANI, -
core +1 more source
Applied Sciences, 2021 Supervised machine learning and its algorithms are a developing trend in the prediction of rockfill material (RFM) mechanical properties. This study investigates supervised learning algorithms—support vector machine (SVM), random forest (RF), AdaBoost ...
Mahmood Ahmad +7 more
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