PWM converter for a highly non-linear plasma load by Van der Merwe, Wim

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Large deformation of rigid-viscoplastic cantilevers subjected to impulsive loading by Trossbach, Rolf

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Deformation and tearing of uniformly blast-loaded quadrangular stiffened plates by Yuen, Steeve Chung Kim

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Modelling attrition in the Eastern Cape public health system using multilevel survival analysis and machine learning methods by Perrie, Cailin

“…Unfortunately, all multilevel machine learning models explored failed to converge, resulted in excessive computational time forcing an abort, or simply resulted in poor model performance when evaluated on unseen data. …”
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Incorporating sensor measurements using data assimilation and machine learning to improve the accuracy of thermal finite element models

Subjects: “…Machine learning…”
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Improving the generalisabiility of a deep learning model for global forest classification through image normalisation, enhancement and augmentation by Swaine, Michael

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A review of three machine learning models using UAV derived photogrammetry for detecting and measuring tree stumps by Hubbard, Alan John

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Nondestructive quantitative model for predicting the residual tensile strength of silk textile cultural heritage based on machine learning

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Enhancing BIM Modeling Ability of Undergraduate Architectural Engineering Students through the Integration of Flipped Classroom and Collaborative Learning

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Development and Validation of an Interpretable Machine Learning Model for Predicting Thrombocythemia Risk During Third Generation Cephalosporin Therapy

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Epidemic Forecasting via Hybrid Deep Learning With Unified Visibility and Temporal Graphs Under Stochastic Noise Modelling

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Attributes Descriptions among the Medical Lecturers in Implementing the Problem-Based Learning (PBL) Based on the Onion Model Theory

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Digital‐Green Collaborative Transformation and Agricultural Economic Resilience: Evidence From a Double Machine Learning Model

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Tri Hita Karana-based green constitution learning model to improve elementary school students’ ecological literacy

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Improving land cover change modelling with machine learning: a comparative analysis of SVM and XGBoost in the Lesotho Lowlands

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Modelling the Livelihood Vulnerability Index (LVI-IPCC) with Machine Learning in Agro-Ecological Region I of Southern Zambia

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Machine Learning Driven Intrusion Detection for Internet of Things Networks: A Comparative Study of Ensemble and Traditional Models

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Metaheuristic‐Driven Feature Selection for Blockchain Fraud Detection: A Comparative Study on Machine and Deep Learning Models

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RETRACTION: Study on Intelligent Online Piano Teaching System Based on Deep Learning Recurrent Neural Network Model

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Novel Unsupervised Machine Learning Model Using Multi-Parametric Radiomics for Prognostic Stratification of Bifocal Hepatocellular Carcinoma

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