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R. Sabzevari

3 records found

Physics-Informed Neural Networks for Aerospace Applications

Advancing Simulation and Surrogate Modelling

Recent advances in AI, driven by increased computational power, are expanding capabilities in aerospace. While machine learning (ML) reveals hidden data patterns, it typically requires large datasets. Numerical simulations offer insights but are costly and sometimes unreliable du ...
The NIBIRU mission, scheduled for launch in 2038, seeks to image and characterise Planet 9, a hypothesized planet beyond Neptune in the Kuiper Belt. The mission will travel farther than any human-made object and involves a close approach to the Sun, necessitating precise design a ...

Product-ProtoNet

A simple architecture for classifying supermarket products, using just a few example images

Airlab, a collaboration between TU Delft and Ahold Delhaize, is developing Albert, a robot tailored to work in a complex supermarket environment. Key to Albert is a product detection and classification module that tells it what products to grasp and where they are located in a sh ...