Results 111 to 120 of about 15,566,129 (208)

Proposal of a Geometric Calibration Method Using Sparse Recovery to Remove Linear Array Push-Broom Sensor Bias

open access: yesSensors, 2019
The rational function model (RFM) is widely used in the most advanced Earth observation satellites, replacing the rigorous imaging model. The RFM method achieves the desired calibration performance when image distortion is caused by long-period errors ...
Jun Chen   +3 more
doaj   +1 more source

The MexMAGIC population reveals the genetic architecture of traits exhibiting clinal variation in Mexican native maize

open access: yesNew Phytologist, Volume 252, Issue 3, Page 1296-1313, November 2026.
The MexMAGIC population mixes native maize varieties from across Mexico to study functional genetic diversity. Summary Defining the genetic basis of local adaptation is a key goal of evolutionary biology and crop improvement. Theory predicts that when selective pressures follow differences in the environment, a cline will be established.
Sergio Perez‐Limón   +18 more
wiley   +1 more source

A Comparison of the Performance of Bias-Corrected RSMs and RFMs for the Geo-Positioning of High-Resolution Satellite Stereo Imagery

open access: yesRemote Sensing, 2015
High-resolution stereo satellite imagery is widely used in environmental monitoring, topographic mapping, and urban three-dimensional (3D) reconstruction.
Zhonghua Hong   +5 more
doaj   +1 more source

Customer Loyality Segmentation with RFM Model at PCP Cafe

open access: yesJurnal Ekonomika Dan Bisnis (JEBS)
The intense competition in the business sector motivates every business unit to manage their services, especially towards their customers, to the fullest. One of them is to increase customer loyalty by segmenting or grouping each customer into several clusters and determining the appropriate marketing strategy for each of these groups.
Rahmadeni Rahmadeni, Jerry Heikal
openaire   +1 more source

Comparing Random Forest and Regression Models for Dust Storm Assessment in Kermanshah Province, Iran

open access: yesAnthropogenic Pollution
Identifying dust sources is essential for effective management. This study employs remote sensing and machine learning techniques, specifically Random Forest Model (RFM) and Multiple Linear Regression (MLR), to identify dust production areas in ...
Mehranoosh Gholipour   +4 more
doaj   +1 more source

Customer Loyalty Segmentation With Rfm Model At "ABC" Mart

open access: yesJurnal Ekonomika Dan Bisnis (JEBS)
In an effort to determine groups of customers who have the potential to be loyal, it is necessary to carry out a careful examination based on the characteristics of each customer in transactions. Having similar characteristics to create a customer grouping is also needed in the customer segmentation concept.
Meiriza Azwar   +2 more
openaire   +1 more source

Modeling Within- and Across-Customer Association in Lifetime Value with Copulas [PDF]

open access: yes
Recent advances in linking Recency-Frequency-Monetary value (RFM) data to Customer Lifetime Value (CLV) in non-contractual settings rely on the assumption of independence between the transaction and spend processes. We propose to model jointly the inter-
Lemmens, A., Croux, C., Glady, N.
core  

REDD+, RFM, Development, and Carbon Markets

open access: yes, 2011
Combining responsible forest management (RFM) experiences with literature reviews and stakeholder discussions allows an assessment of the potential role of RFM in reduced emissions from deforestation and forest degradation and conservation, sustainable ...
Bastiaan Louman   +2 more
core   +1 more source

A geospatial model of RFM analysis: An application to tourism in the Iberian Peninsula

open access: yesProcedia Computer Science, 2022
Itzcóatl Bueno   +3 more
openaire   +2 more sources

Can normalized difference vegetation index and climate data be used to estimate soil carbon, nitrogen, and phosphorus and their ratios in the Xizang grasslands?

open access: yesFrontiers in Earth Science
Accurately quantifying the relative effects of climate change and human activities on soil carbon, nitrogen, and phosphorus in alpine grasslands and their feedback is an important aspect of global change, and high-precision models are the key to solving ...
Shaohua Wang   +6 more
doaj   +1 more source

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