Results 21 to 30 of about 14,439,340 (212)
Deep Learning Approach for Evaluating Air Pollution Using the RFM Model [PDF]
Nature Environment and Pollution TechnologyAir pollution is a required environmental and public health issue in India, with multiple municipalities repeatedly ranking among the most polluted in the world.
Jannah Mohammad and Mohammod Abul Kashem
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A New RFM Model Approach: RFMS
, 2023 With the advancement of technology and the widespread use of the Internet, the concept of big data, which we have started to hear of frequently, has emerged.
Semra Erpolat Taşabat +3 more
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Independent association between relative fat mass and total bone mineral density in U.S. adolescents: a cross-sectional study adjusting for Appendicular Lean Mass Index [PDF]
Scientific ReportsThe relationship between adiposity and bone health, often referred to as the “obesity paradox,” remains a subject of debate. Relative fat mass (RFM) has recently emerged as a more accurate surrogate for body fat percentage than the Body Mass Index (BMI).
Penghui Lv +5 more
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RFM-Net: A Convolutional Neural Network for Customer Segment Classification
Applied SciencesCustomer 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
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European Journal of Medical ResearchBackground This study aimed to investigate the relationship between relative fat mass (RFM) and stress urinary incontinence (SUI). Methods This cross-sectional study employed data from the National Health and Nutrition Examination Survey (NHANES ...
Jiaqing Yang, Yuanzhuo Du, Ju Guo
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Both Radiofrequency Microtenotomy and Physical Therapy Provide Significant Improvements in Patients With Chronic Midportion Achilles Tendinopathy at a Minimum 5-Year Follow-Up. [PDF]
Arthrosc Sports Med RehabilPurpose To evaluate a minimum 5‐year follow‐up of patients who were treated with either bipolar radiofrequency microtenotomy (RFM) or physical therapy (PT) for midportion Achilles tendinopathy between 2016 and 2018. Methods All subjects who participated in a previous randomized controlled trial (n = 38) between 2016 and 2018 were invited to fill out a ...
Jirde Ali H +3 more
europepmc +2 more sources
RFM user value tags and XGBoost algorithm for analyzing electricity customer demand data
Systems and Soft ComputingWith the increasing demand for electricity, predicting user electricity demand has become an essential task. The electricity demand characteristics of users in the electricity market are different, so it is necessary to classify and predict users. Aiming
Zhu Tang, Yang Jiao, Mingmin Yuan
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Customer clustering based on RFM- CPI model using data mining techniques [PDF]
International Journal of New Political Economy, 2022 Subject and purpose of the paper: the goal of this article is suggesting a new method for increasing the quality of customers clustering with increasing Customer Price Index (CPI) to monetary variable (M).Methodology: At this research, customers of one ...
Abdolmajid Imani +3 more
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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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Tržište, 2023 Purpose – This paper explores various supervised machine learning algorithms as an additional classification method to RFM (recency, frequency, and monetary) models with the aim of improving the accuracy in predicting target groups of customers for ...
Danijel Bratina, Armand Faganel
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