The response of concave singly curved fibre reinforced moulded sandwich and laminated composite panels to blast loading by Ghoor, Ismail B

“…This dissertation reports on the effect of air-blast loading on concave, singly curved fibre reinforced sandwich and composite panels. …”
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Changes in material characteristics of AISI 430 stainless steel plates subjected to repeated blast loading by Shangase, Thobani Paul

“…In the first investigation, into uniform loading, the material characterisation results, combined with the fractography results, indicated brittle failure modes typical of high strain rate failures in strain rate sensitive materials, such as the chosen AISI 430 stainless steel plates. …”
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A discrete vortex model for the calculation of aerodynamic loads on a blade of a N-bladed helicopter rotor in rectilinear flight by Arnold, Jacob

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Loading, modelling and costing of concrete and steel support structure designs : large wind turbines in South Africa by De Kock, Conrad Jeanne

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Numerical modelling of explosively loaded steel V plates using the Jones-Wilkins-Lee equation of estate by Daykin, Leigh Milburn Atkinson

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Dynamic modelling of traction loads and renewable energy systems on shared power lines for power quality assessment by Naude, Hein

Subjects: “…Dynamic models (Computer program language)…”
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Enhancing Information Sensing of Load Forecasting in Cyber-Physical-Social Systems: An Approach with Large Language Model

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Attentive Dual‐Domain Modelling for Error‐Resilient Net Load Forecasting in Intermittent Renewable Power Systems

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Machine learning, deep learning, or large language models: An empirical study on multi-label requirements classification

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SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks

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The mind-mapping approach : a model and framework for geodesic learning

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Implementing a holistic model that promotes learning style diversity

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The Mind-Mapping Approach : a Model and Framework for Geodesic Learning

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The development and empirical evaluation of an extended learning potential structural model by Mahembe, Bright

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Physics-informed machine learning modelling of hydrokinetic energy harvester

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DEVELOPING EXPLAINABLEMACHINE LEARNING MODEL USINGAUGMENTED CONCEPT ACTIVATION VECTOR

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Machine learning and causal analyses for modeling financial and economic data

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Robust Model Aggregation for Heterogeneous Federated Learning: Analysis and Optimizations

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Accelerated and Performance‐Enhanced Learning for Neural Model Predictive Control

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Deep Learning based models for Forest Fires Prediction in Algeria

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