main webpage W Topic Mclaren Driver Development Programme Materials • Vol 18 • No 22 Development and Implementation of a Defect Detection Model for Microstructures Using Image Processing Methods 2025 The aim of this research is to develop and implement artificial intelligence models for the automatic detection of defects in the microstructures of austempered ductile iron (ADI). Our research used three different approaches, representing various categories … Article Open Mclaren Driver Development Programme Open Article Page

Mclaren Driver Development Programme

Program to support young racing drivers through their careers The McLaren Driver Development Programme , formerly known as the McLaren Young Driver Programme , is a driver development programme operated by McLaren. It is intended to offer year-by-year guidance, assistance and endorsement to help promising young racers climb the motorsport ladder. The programme was also formerly known as the McLaren-Honda Young Driver Programme and the McLaren-Mercedes Young Driver Support Programme , reflecting engine deals with Honda and Mercedes, respectively. The most notable participant in the programme is Lewis Hamilton, who joined the programme while karting and eventually graduated to the McLaren F1 Team. Critical Symbolic Virtual Narrative Open Mclaren Driver Development Programme Open Article Page

Exploring foci of: Materials • Vol 18 • No 22 Development and Implementation of a Defect Detection Model for Microstructures Using Image Processing Methods 2025 The aim of this research is to develop and implement artificial intelligence models for the automatic detection of defects in the microstructures of austempered ductile iron (ADI). Our research used three different approaches, representing various categories of machine learning tasks: image classification (ResNet), pixel-wise segmentation (UNet), and object detection (YOLO). Each of the models were adapted to the specific characteristics of the dataset and tested on a collection of microstructural images prepared … Open Article Page

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Explore Mclaren Driver Development Programme W Topic Mclaren Driver Development Programme Materials • Vol 18 • No 22 Development and Implementation of a Defect Detection Model for Microstructures Using Image Processing Methods 2025 The aim of this research is to develop and implement artificial intelligence models for the automatic detection of defects in the microstructures of austempered ductile iron (ADI). Our research used three different approaches, representing various categories … Article Critical Symbolic Virtual Narrative Open Mclaren Driver Development Programme Open Article Page