Leveraging real-time data analysis and multiple kernel learning for manufacturing of innovative steels by Wolfgang Rannetbauer, Simon Hubmer, Carina Hambrock, Ronny Ramlau

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Using topological data analysis and machine learning to predict customer churn by Marcel Sagming, Reolyn Heymann, Maria Vivien Visaya

“…The availability of stored customer data in the form of big data, together with the use of advanced and tuned machine learning (ML) algorithms, have paved the way for the realisation and extraction of useful features associated with customer behaviour and consequently the prediction of customer churn. …”
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Teaching Data Analysis and Machine Learning at University: Generalization of Experience and Perspectives by Victoria Dorofeeva, Sergey Stroev, Dmitrii Dorofeev

Subjects: “…data analysis technologies…”
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Comment on “Machine learning enhanced analysis of EBSD data for texture representation” by Helmut Schaeben, K. Gerald van den Boogaart

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Current scenario of machine learning applications to hydrothermal liquefaction via bibliometric analysis [version 3; peer review: 1 approved, 2 approved with reservations, 1 not ap... by Nakorn Tippayawong, Sakprayut Sinthupinyo, Somboon Sukpancharoen, Tossapon Katongtung

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A Comparative Evaluation of Machine Learning Methods for Predicting Student Outcomes in Coding Courses by Zakaria Soufiane Hafdi, Said El Kafhali

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Transitioning from Simulation to Reality: Applying Chatter Detection Models to Real-World Machining Data by Matthew Alberts, Sam St. John, Simon Odie, Anahita Khojandi, Bradley Jared, Tony Schmitz, Jaydeep Karandikar, Jamie B. Coble

“…The study applies a Random Forest classification model trained on over 140,000 simulated machining datasets, incorporating techniques like Operational Modal Analysis (OMA), Receptance Coupling Substructure Analysis (RCSA), and Transfer Learning (TL) to adapt the model for real-world operational data. …”
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Unveiling the Impact of Socioeconomic and Demographic Factors on Graduate Salaries: A Machine Learning Explanatory Analytical Approach Using Higher Education Statistical Agency Data by Bassey Henshaw, Bhupesh Kumar Mishra, William Sayers, Zeeshan Pervez

“…This study investigates determinants of graduate salaries in the UK, utilising survey data from HESA (Higher Education Statistical Agency) and integrating advanced machine learning (ML) explanatory techniques with statistical analytical methodologies. …”
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Understanding EMS response times: a machine learning-based analysis by Peter Hill, Jakob Lederman, Daniel Jonsson, Peter Bolin, Veronica Vicente

“…This study explores the multifaceted determinants of EMS response times, leveraging machine learning (ML) techniques to identify key factors such as urgency levels, environmental conditions, and geographic variables. …”
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Future-Ready Skills Across Big Data Ecosystems: Insights from Machine Learning-Driven Human Resource Analytics by Fatih Gurcan, Beyza Gudek, Gonca Gokce Menekse Dalveren, Mohammad Derawi

“…This study aims to analyze online job postings using machine learning-based, semantic approaches and to identify the expertise roles and competencies required for big data professions. …”
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Machine learning methods for analyzing genomic and phenomic data in psychiatry by T. I. Nurgaliev

Subjects: “…machine learning, supervised learning, unsupervised learning, genomics data analysis…”
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A Comparative Analysis of Machine Learning Models for Predicting EFL Student Language Performance in Smart Learning Environments by Banchakarn Sameephet, Wirapong Chansanam, Mahboubeh Rakhshandehroo, Chawin Srisawat, Kittichai Nilubol, Arnon Jannok, Bhirawit Satthamnuwong, Kornwipa Poonpon

“…This study highlights the potential of advanced machine learning techniques in educational data analysis. …”
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Technology-Enhanced Multimodal Learning Analytics in Higher Education: A Systematic Literature Review by Ozan Rasit Yurum

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A Comprehensive Review of Multimodal Analysis in Education by Jared D. T. Guerrero-Sosa, Francisco P. Romero, Víctor H. Menéndez-Domínguez, Jesus Serrano-Guerrero, Andres Montoro-Montarroso, Jose A. Olivas

“…It provides a detailed analysis of data collection modalities, feature extraction pipelines, modelling techniques—including machine learning, deep learning, and fusion strategies—and software frameworks used across various educational settings. …”
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Supply Chain Data Analytics for Digital Twins: A Comprehensive Framework by Vasileios Xiros, Jose M. Gonzalez Castro, Francisco Fernandez-Pelaez, Babis Magoutas, Konstantinos Christidis

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Application of Machine Learning Models in Social Sciences: Managing Nonlinear Relationships by Theodoros Kyriazos, Mary Poga

Subjects: “…machine learning in social sciences…”
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Predicting hospital outpatient volume using XGBoost: a machine learning approach by Lingling Zhou, Qin Zhu, Qian Chen, Ping Wang, Hao Huang

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A software pipeline for systematizing machine learning of speech data by Jimuel Celeste, Mashrura Tasnim, Amable J. Valdés Cuervo, Enrique A. de la Cal, Eleni Stroulia

“…The reproducibility and replicability of experimental findings is an essential element of the scientific process. The machine-learning community has a long-established practice of sharing data sets so that researchers can report the performance of their models on the same data. …”
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Integrating pharmacogenetics, multi‐omics and machine learning in the novel therapeutic view of pulmonary hypertension by Chenxi Li, Jipeng Xue, Dongchen Zhou, Xiaomeng Qi, Ting Chen, Zhoubin Li

Subjects: “…big data analytics…”
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Predictive exploratory data analysis of shopfloor CNC machine operation through a machine learning model by Tarique Ameer, Omid Fatahi Valilai

“…The research explores the capabilities of exploratory data analysis in the manufacturing shop floor at the machine level. …”
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