Results 101 to 110 of about 11,195,460 (215)
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
Women with a twin pregnancy who undergo induction of labor or elective cesarean section at term are comparable for blood loss but with higher admissions to the neonatal unit. Abstract Introduction Our aim was to assess maternal and perinatal morbidity associated with induction of labor (IOL) and elective cesarean section (ECS) in uncomplicated twin ...
Joanna Gent +5 more
wiley +1 more source
Da página de João Manuel Alves (Joao Manuel Alves | Facebook) retirei o seguinte sobre a formação da RFM: «Na altura era um "segredo" bem guardado.
Rogério Santos
core
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
Direct Policy Search for a Risk‐Based Levee Design Framework With Scenario Reduction
ABSTRACT Risk‐based management of coastal flood risk using realistic, process‐based models poses computational challenges, particularly when addressing uncertainties like sea‐level rise. This study explores the use of direct policy search (DPS) as a state‐dependent, adaptive decision‐making approach for upgrading levee systems.
Jingya Wang, David R. Johnson
wiley +1 more source
Perbandingan Hasil Segmentasi Pelanggan dengan RFM Scoring dan RFM Based K-Means Clustering [PDF]
Analisis yang umum digunakan dalam pengelompokan pelanggan adalah analisis model Recency, Frequency, Monetary (RFM). Model ini memaparkan pelanggan berdasarkan interval waktu kunjungan terakhir pelanggan, frekuensi kunjungan, dan besaran nilai yang ...
Muliabanta, Natanael Hadi
core
A Machine Learning Model for Local Market Prediction Using RFM Model
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
openaire +1 more source
Comparing Random Forest and Regression Models for Dust Storm Assessment in Kermanshah Province, Iran
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
Optokinetic stimulation modulates vestibular contribution to postural control
Abstract figure legend Healthy young adults completed repeated standing balance trials while receiving stochastic vestibular stimulation (SVS) with or without optokinetic visual motion. Vestibular contributions to postural control were quantified from the frequency‐domain coupling between SVS and mediolateral ground reaction forces using coherence and ...
Antonio S. Pierre +4 more
wiley +1 more source
Customer Loyalty Segmentation With Rfm Model At "ABC" Mart
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

