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From Scratch - Generative Adversarial Networks

"A digital shadow approach for enhancing process monitoring in wire arc" by Haochen Mu, Fengyang He et al.

With the development of Industry 4.0 and smart manufacturing, improving production automation, intelligence, and digitalization has become a research trend in the Wire Arc Additive Manufacturing (WAAM) field. This study introduces a digital shadow that aims to improve the adaptiveness and dimensionality of monitoring systems in WAAM. Three sensors are used in the digital shadow: a welding electric signal sensor, a camera, and a laser profilometer to collect welding current and voltage data, image data, and point cloud data. The collected multi-scaled data are time and spatially synchronized by sampling multiple points along the welding path. Three ML algorithms are used for decision-making: Multi-layer Perceptron (MLP) classifier and YOLOv5 are used for time and spatial-scale detection, respectively, and a Variational Autoencoder (VAE) is used for the decision-level fusion. The system performance is then tested to detect defects and geometric errors in practical experiments and the res

MacBook Air M3 Review (2024): Fantastic When You Need It, Expensive If You Don't

The MacBook Air M3 (2024)

Apple's new iPad Pro and iPad Air just got delayed

Apple is reportedly eyeing an early May launch for its new iPad Pro and Air models. It is adding a new size, fresh accessories, and the M3 silicon into the mix.

Performance Evaluation of machine learning algorithms for cyber threat analysis SDN dataset