Ensemble-based customer churn prediction in banking: a voting classifier approach for improved client retention using demographic and behavioral data by Ruchika Bhuria, Sheifali Gupta, Upinder Kaur, Salil Bharany, Ateeq Ur Rehman, Seada Hussen, Ghanshyam G. Tejani, Pradeep Jangir

“…Using a comprehensive dataset including demographic, financial, and behavioral data—such as credit score, account balance, tenure, and activity levels—the study employs the goal variable revealing if a customer has left the bank. …”
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Harnessing Moderate-Sized Language Models for Reliable Patient Data Deidentification in Emergency Department Records: Algorithm Development, Validation, and Implementation Study by Océane Dorémus, Dylan Russon, Benjamin Contrand, Ariel Guerra-Adames, Marta Avalos-Fernandez, Cédric Gil-Jardiné, Emmanuel Lagarde

“… Abstract BackgroundThe digitization of health care, facilitated by the adoption of electronic health records systems, has revolutionized data-driven medical research and patient care. While this digital transformation offers substantial benefits in health care efficiency and accessibility, it concurrently raises significant concerns over privacy and data security. …”
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A Comprehensive Review of Multiple Physical and Data-Driven Model Fusion Methods for Accurate Lithium-Ion Battery Inner State Factor Estimation by Junjie Tao, Shunli Wang, Wen Cao, Carlos Fernandez, Frede Blaabjerg

“…Although physics-based state estimation techniques have matured, challenges remain regarding accuracy and robustness in complex environments. …”
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Application of Classical and Genomic Cryptography on Textual Dataset by İbrahim Türkoğlu, Alev Kaya

“…It strives to ensure the confidentiality, integrity, availability and non-repudiation of information. In other words, it aims to keep data safe against all kinds of threats. …”
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Forecasting Temperature Time Series Data Using Combined Statistical and Deep Learning Methods: A Case Study of Nairobi County Daily Temperature by John Kamwele Mutinda, Amos Kipkorir Langat, Samuel Musili Mwalili

“…This study analyzes temperature time series data from the Nairobi County in Kenya, aiming to develop accurate hybrid time series forecasting models. …”
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Classification of Toraja, Batak and Ambon Languages using Decision Tree and Gradient Boost methods by Bileam Mangalla, Suharyadi Suharyadi

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Cataloguer, indexer, encoder by Tiziana Nicoletta Beltrame, Christine Jungen

“…The perspective adopted inherits as much from the anthropology of material cultures as from the attention paid to ontologies and modes of human and non-human presence. The aim is to situate digital techniques for storing knowledge into a set of document management practices, including listing, inventory or catalogue, card or print. …”
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Catalogar, indexar, codificar by Tiziana Nicoletta Beltrame, Christine Jungen

“…The perspective adopted inherits as much from the anthropology of material cultures as from the attention paid to ontologies and modes of human and non-human presence. The aim is to situate digital techniques for storing knowledge into a set of document management practices, including listing, inventory or catalogue, card or print. …”
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Cataloguing, Indexing and Encoding by Tiziana Nicoletta Beltrame, Christine Jungen

“…The perspective adopted inherits as much from the anthropology of material cultures as from the attention paid to ontologies and modes of human and non-human presence. The aim is to situate digital techniques for storing knowledge into a set of document management practices, including listing, inventory or catalogue, card or print. …”
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An Analysis of Student Satisfaction and its Relationship with Academic and Social Factors in University Dropout by Maria Esteban, Ana B. Bernardo, Elena Blanco, Palmira Oserin

“…For this purpose, the Spanish version of the Questionnaire of Motives for Higher Education Dropout (QMA_es; Almeida et al., 2019) was applied to a sample of 927 first- and second-year university students. These data have been processed using educational data mining (EDM) techniques, obtaining a decision tree that correctly classifies the sample in 81.1%. …”
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Algorithmic Generation of Parameterized Geometric Models of the Aortic Valve and Left Ventricle by Nikita Pil, Alex G. Kuchumov

“…As fluid–structure interaction simulations are highly computationally demanding, machine-learning techniques can be considered a good alternative. Nevertheless, it is necessary to design many aortic valve geometries to generate a training set. …”
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Fast Ways to Detect Outliers by Emad Obaid Merza, Nashaat Jasim Mohammed

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A machine learning-based methodology for short-term kinetic energy forecasting with real-time application: Nordic Power System case by Jose Miguel Riquelme-Dominguez, Manuel Carranza-García, Pedro Lara-Benítez, Francisco M. González-Longatt

“…The proposed methodology aims to be as flexible as possible to apply to any power system, regardless of the data available and the software used. …”
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Hybrid Prophet-NAR Model for Short-Term Electricity Load Forecasting by Winita Sulandari, Yudho Yudhanto, Etik Zukhronah, Isnandar Slamet, Hilman Ferdinandus Pardede, Paulo Canas Rodrigues, Muhammad Hisyam Lee

“…Additionally, SSA-based bagging is employed to manage data uncertainties, and ensemble techniques are applied to further refine the forecasting accuracy. …”
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Digital remote monitoring of people with multiple sclerosis by Michelangelo Dini, Michelangelo Dini, Giancarlo Comi, Letizia Leocani, Letizia Leocani, Letizia Leocani

“…We conducted a PubMed search to collect original studies aimed at evaluating the use of AI and/or big data for digital remote monitoring of pwMS. …”
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Feature-Driven Density Prediction of Maraging Steel Additively Manufactured Samples Using Pyrometer Sensor and Supervised Machine Learning by Rajesh Kumar Balaraman, Shaista Hussain, John Kgee Ong, Qing Yang Tan, Nagarajan Raghavan

“…The proposed feature-driven model then interprets machine settings and pyrometer data into physics-based (PHYS-B) features, including laser energy density, radiation pressure, intensity, temperature, and wavelength. …”
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Combining Topic Modeling, Sentiment Analysis, and Corpus Linguistics to Analyze Unstructured Web-Based Patient Experience Data: Case Study of Modafinil Experiences by Julia Walsh, Jonathan Cave, Frances Griffiths

“…MethodsUsing 69,022 posts from 790 sources, we used a variety of NLP and corpus techniques to analyze the data, including data cleaning techniques to maximize post context, Python for NLP techniques, and Sketch Engine for linguistic analysis. …”
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Reassessing single-stent techniques for isolated left anterior descending ostial disease: a two-year intravascular ultrasound-guided retrospective comparison of precise ostial, flo... by Xi Wu, Mingxing Wu, Haobo Huang, Zhe Liu, He Huang, Lei Wang

“…Abstract Background/Objectives Percutaneous coronary intervention (PCI) for isolated left anterior descending (LAD) ostial lesions remains challenging, with limited comparative data on stenting strategies. We aimed to evaluate the procedural and long-term outcomes of three single-stent techniques: precise ostial stenting (POS), floating stenting (FS), and crossover stenting (CS). …”
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Novel Crushing Technique for Measuring δ18O and δ2H Values of Fluid Inclusions (H2O) in Quartz Mineral Veins Using Cavity Ring-Down Spectroscopy by Akbar Aydin Oglu Huseynov, H. J. L. van der Lubbe (Jeroen), S. J. A. Verdegaal-Warmerdam, Onno Postma, Julian Schröder, Hubert Vonhof

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A Model for Enhancing the Quality of Services in the Management of Social Security Healthcare in Mazandaran Province by Seyyed Ebrahim Jafari Kelarijani, Yaghoub Alavimatin, Davood Paydarfard

“…The face validity of the questionnaire was assessed by supervisors and consultants, while its content validity was evaluated using the CVR index. Data analysis was conducted using the meta-synthesis technique. …”
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