Towards a human-machine integrated model for organisational knowledge creation - a case for knowledge-enriched machine learning by du Plessis, Susanna Johanna

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Emotion recognition from Bangla dialect speech using privacy-aware deep learning models: a comparative analysis

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'Raissing’ Teacher Practice: A Case Study of a Living Model of Professional Learning In Mentoring Pre-Service Teachers

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Paper 16: A Hybrid Neuro-Fuzzy and Machine Learning Model for Student Performance Prediction in Online Mathematics Education

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A multiscale, Bayesian inference approach to augment mechanistic models of cell signaling with machine-learning predictions of binding affinity

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Comparative Analysis of Pre-trained based CNN-RNN Deep Learning Models on Anomaly-5 Dataset for Action Recognition

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Modeling Non-linear Time of Concentration in Heterogeneous Catchments: A Comparative Study of SVR and ANN Machine Learning Approaches

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The management of school safety with reference to drugs in public schools

Subjects: “…Code of conduct…”
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Constructive environmental scanning: A method in creating positive world paradigms for more sustainable alternative futures by Naude, Jan H.

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e-Learning effectiveness in interconnected corporate learning environments

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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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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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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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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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