The mediating role of learning styles and strategies in the relationship between cognitive ability and academic performance

Subjects: “…Approaches to learning…”
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Introduction to fast Super-Paramagnetic Clustering by Yelibi, Lionel

Subjects: “…Potts Models…”
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Machine learning for particle identification & deep generative models towards fast simulations for the Alice Transition Radiation Detector at CERN by Viljoen, Christiaan Gerhardus

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Development of a supervised machine learning model to enhance urban water system management: a case study of Stellenbosch municipality by Van der Walt, Rejoice

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Model Interpretability with XAI for Sarcastic Behavior Detection in Low-Resource Roman Urdu Language using Machine Learning and Ensembled Approaches

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: a deep learning and XAI model to understand local, global, and sequential features of MRI images for improved brain tumour detection

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Development and Validation of a SHAP-Interpretable Machine Learning Model for Stroke Risk Prediction Using Circulating MicroRNA Biomarkers

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Do Large Multimodal Models Solve Caption Generation for Scientific Figures? Lessons Learned from SciCap Challenge 2023

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Spatial analysis of COVID-19 and the Russia–Ukraine war impacts on natural gas flows using statistical and machine learning models

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A structured review and critical synthesis of multi-criteria decision-making models integrated with machine learning for water resource management

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Integrated Constructivist and Phenomenon-Based Learning Model to Enhance Digital Skills and Creative Problem Solving for High Vocational Certificate Students

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Constructing and Validating a Flipped and Collaborative Learning Model for Fostering Instructional Design Skills of Chinese Pre-Service Physics Teachers

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Paper 20: Utilizing Structured Equation Modeling and Machine Learning in Investigating Digital Competency in Public School Teachers in Bukidnon, Philippines

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Comparative Analysis of Machine Learning for Stroke Classification Using YOLOv11 Detection and a Radiomics-Based Two-Stage Model

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Sentiment analysis of trending tweets using Spark NLP and deep learning: a benchmark study of CNN vs transformer models

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Comparative and complementary use of Bayesian inference and supervised learning for predictive modeling of coffee rust incidence among Kenyan smallholder farmers

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MODELING THE RELATIONSHIP BETWEEN GDP GROWTH RATE AND CONSUMER PRICE INDEX CHANGE RATES USING TUNED MACHINE LEARNING REGRESSORS

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A hybrid deep learning model for land subsidence prediction based on TS-InSAR: a case study of Donggugang

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Enhancing nurses’ clinical decision-making confidence through dual pathways of self-directed learning: A structural equation model

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Food Price Prediction in Nigeria: A Comparative Analysis of Linear Regression and Machine Learning Models to Analyze Subsector Price Interdependencies

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