Results 101 to 110 of about 13,798,356 (215)

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

Sensors, 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, Zhichao Sha, Jungang Yang, Wei An   +3 more
doaj   +1 more source

Consumer Behavior Analysis in Digital Marketing Using AI and Big Data Analytics: A Narrative Review and Methodological Taxonomy

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
AI and Big Data in Consumer Behavior Analysis. ABSTRACT The rapid expansion of digital consumer data has challenged traditional approaches to understanding behavior in digital marketing. Existing reviews often focus on individual methods and give limited guidance on how analytical techniques compare or how they should be selected for specific marketing
Leonidas Theodorakopoulos, Alexandra Theodoropoulou   +1 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

Remote Sensing, 2015
High-resolution stereo satellite imagery is widely used in environmental monitoring, topographic mapping, and urban three-dimensional (3D) reconstruction.
Zhonghua Hong, Xiaohua Tong, Shijie Liu, Peng Chen, Huan Xie, Yanmin Jin   +5 more
doaj   +1 more source

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, Jumadi Mabe Parenreng, Fathahillah Fathahillah, Abdul Wahid, M. Syahid Nur Wahid, Muhammad Fajar B   +5 more
openaire   +1 more source

Fine‐tuning ab initio XANES spectra calculations using the Bayesian optimization algorithm

Journal of Synchrotron Radiation, Volume 33, Issue 5, Page 1455-1466, September 2026.
A Bayesian optimization technique is used to tune the FEFF and FDMNES packages and to improve matching between theoretical and experimental spectra. The tests were performed on monometallic Ni, Fe and Pd K‐edge XANES spectra using several different spectrum similarity metrics.Theoretical modeling of X‐ray absorption near‐edge structure (XANES) spectra ...
Andrey A. Sapronov, Dmitry E. Doronkin, Jan-Dierk Grunwaldt   +2 more
wiley   +1 more source

RFM

, 2021
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  

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

Anthropogenic 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, Maryam Kiani Sadr, Bahareh Lorestani, Mehrdad Cheraghi, Soheil Sobhanardakani   +4 more
doaj   +1 more source

Genomic Insights Into the Multimetal Resilience and Biofilm‐Templated Nanorod Biosynthesis of Stenotrophomonas bentonitica BII‐R7: Bioremediation and Green Nanotechnology Implications

Microbial Biotechnology, Volume 19, Issue 9, September 2026.
Biofilm extracellular polymeric substances (EPS) in Stenotrophomonas bentonitica BII‐R7 direct the formation of crystalline trigonal selenium nanorods. Comparative genomics identifies a unique genetic toolkit underpinning EPS composition and metal resilience, positioning this strain as a platform for bioremediation and green nanomaterial synthesis ...
Eduardo Perez‐Muelas, Miguel Angel Ruiz‐Fresneda, Guillermo Lazuen‐Lopez, Tatiana Lopez‐Perez, Fouad Eddaoudi‐Lakraichi, Mohammed Bakkali, Mohamed Larbi Merroun   +6 more
wiley   +1 more source

Use of Coercion or Persuasion in Prehospital Treatment in the Region of Southern Denmark: A Retrospective Study

Acta Anaesthesiologica Scandinavica, Volume 70, Issue 8, September 2026.
ABSTRACT Background The use of coercion or persuasion raises ethical challenges but may be justified when prehospital patients require immediate treatment and are unable to consent. This study aims to describe the characteristics of coerced or persuaded adult pre‐hospital patients in the Region of Southern Denmark.
Sif Højmark Vobbe, Henriette Bruun, Anne Craveiro Brøchner, Annmarie T. Lassen, Tim Alex Lindskou, Torben Anders Kløjgård, Signe Wegmann Düring, Søren Mikkelsen   +7 more
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
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