Results 61 to 70 of about 13,798,356 (215)

A review of the application of RFM model 

, 2020
[[abstract]]RFM (Recency, Frequency and Monetary) model has been widely applied in many practical areas in a long history, particularly in direct marketing.
林士彥, Lin, SY
core  

RFM-Net: A Convolutional Neural Network for Customer Segment Classification

Applied Sciences
Customer Segment Classification is a machine learning task in marketing analytics that involves assigning customers to predefined categories using features derived from historical transactional data.
Kadriye Filiz Balbal, Derya Birant
doaj   +1 more source

A restoring force model for a novel type of precast beam-to-column joints using mechanical connections

Case Studies in Construction Materials, 2023
To investigate the restoring force model (RFM) for a novel type of precast beam-to-column joints using a mechanical connection (PBCJ-MCs), the low-cycle cyclic loading test of three PBCJ-MCs was first performed in this article.
Mei-Ling Zhuang, Chuanzhi Sun, Liutao Bai, Li Gao, Yan Qiao, Weihua Zhang, Chenhui Lu, Zhengheng Li, Yunsheng Ma, Qingsong Zhao   +9 more
doaj   +1 more source

Acute effects of anti‐seizure medications on network level dynamics: A systematic comparison using multielectrode arrays

Epilepsia, EarlyView.
Abstract Objective A multi‐electrode array (MEA) is a powerful extracellular recording technique for long‐term monitoring of neuronal network activity. In recent years, MEA‐based assays have been applied increasingly to evaluate drug efficacy and neurotoxicity, including the assessment of anti‐seizure medications (ASMs). However, systematic comparisons
Griselda Marku, Lena Gschossmann, Kerstin Hallmann, Heinz Beck, Kunihiko Araki   +4 more
wiley   +1 more source

Restoring force model of a modular steel-concrete composite column

Case Studies in Construction Materials
The restoring force model (RFM) is the basis of elasto-plastic time-history analysis and forms a critical part of the seismic response analysis of structures. Based on the previous research results of a novel modular steel-concrete composite column, this
Yang Li, Mingchi Fan, Haitao Song, Chenglong Wu, Qi An, Xiujun Wang, Jie Ren   +6 more
doaj   +1 more source

A comparison in maternal and neonatal outcomes between mild fundal pressure and vacuum extraction for shortening the second stage of labor

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective Mild fundal pressure (MFP) and vacuum extraction (VE) are interventions used during the second stage of labor when clinical intervention is required. While VE is well established with standardized training and predictable risks, MFP remains controversial with limited comparative data. This study aimed to compare maternal and neonatal
Omri Dominsky, Nurit Malka Goldwasser, Roza Berkovits‐Shperling, Michal Rosenberg‐Friedman, Yoav Baruch, Yariv Yogev, Anat Lavie   +6 more
wiley   +1 more source

The nonlinear connection between relative fat mass and non-alcoholic fatty liver disease in the Japanese population: an analysis based on data from a cross-sectional study

Diabetology & Metabolic Syndrome
Background Relative fat mass (RFM) is a newly developed, sex-specific anthropometric formula designed to estimate total body fat percentage. However, research investigating the correlation between RFM and the risk of non-alcoholic fatty liver disease ...
Changchun Cao, Meiling Huang, Yong Han, Xiaohua Zhang, Haofei Hu, Yulong Wang   +5 more
doaj   +1 more source

Photochemical fluorescence activation in arrays of microspherical containers

Responsive Materials, EarlyView.
Photoresponsive microdroplets can be produced with precise structural control from organic solutions of a photoactivatable fluorophore and aqueous solutions of a surfactant at a microfluidic cross junction. These dye‐doped microspheres assemble spontaneously in close‐packed arrays in aqueous media.
William M. Piedra, Andrea Tomassini, Keiran I. Singh, Stephen A. Lee, Françisco M. Raymo   +4 more
wiley   +1 more source

LRFMV: An efficient customer segmentation model for superstores.

PLoS ONE, 2022
The Recency, Frequency, and Monetary model, also known as the RFM model, is a popular and widely used business model for determining beneficial client segments and analyzing profit.
Rezwana Mahfuza, Nafisa Islam, Md Toyeb, Md Asaduzzaman Faisal Emon, Shahnur Azad Chowdhury, Md Golam Rabiul Alam   +5 more
doaj   +1 more source

Analysis for Customer Lifetime Value Categorization with RFM Model

Procedia Computer Science, 2019
Abstract The same treatment of all customers will cause customers who are not so valuable will be value destroyer rather than a value creator. Giving discounts and promos to all customers has not provided benefits to a company in retaining customers.
Siti Monalisa, Putri Nadya, Rice Novita
openaire   +1 more source