Results 21 to 30 of about 3,753 (202)
EVALUATION OF RATIONAL FUNCTION MODEL FOR GEOMETRIC MODELING OF CHANG'E-1 CCD IMAGES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 Rational Function Model (RFM) is a generic geometric model that has been widely used in geometric processing of high-resolution earth-observation satellite images, due to its generality and excellent capability of fitting complex rigorous sensor models.
Y. Liu, K. Di
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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
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A Machine Learning Model for Local Market Prediction Using RFM Model
Elinvo (Electronics, Informatics, and Vocational Education)This study explores the application of machine learning for local market prediction in e-commerce. By leveraging the RFM segmentation method, the model predicts product sales based on user shopping patterns. The RFM score, calculated using recency, frequency, and monetary values of customer purchases, segments customers into distinct categories.
Muhammad Yahya +5 more
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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
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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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Customer segmentation to identify key customers based on RFM model by using data mining techniques [PDF]
International Journal of Research in Industrial Engineering, 2022 Accurate identification, attracting, and keeping the customers particularly loyal Customer Relationship Management (CRM) with the goal of optimum allotment of resources and achievement to higher profit is not a competitive profit, but it is a life ...
Farahnaz Ahang +4 more
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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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