ADR Awareness Centre

AUTH has created the "AUTH UAV Gesture Dataset" in the context of the “AERIAL-CORE” collaborative project, funded from the European Union's Horizon 2020 research and innovation programme.

This lecture overviews Mathematical Analysis  that has many applications in Computer Vision, Machine Learning and Autonomous Systems.

This lecture overviews Fast Fourier Transform that has many applications in digital signal processing and analysis and in power spectrum estimation.

This lecture overviews Autonomous Car Modeling and Control that has many applications in autonomous cars and automated driving.

In this lecture, first the audiovisual shooting mission is formally defined.

In this lecture focused on Transformers in the field of computer vision, the limitations of Convolutional Neural Networks (CNNs) are emphasized.

Lecture by Prof. Lorentzo Carnevale. Uploaded by Aristotle University of Thessaloniki. Link to video

This lecture overviews Fast 3D Convolution algorithms that has many applications in the fast implementation of 3D image and video filtering, 3D CNNs and motion estimation.

This lecture overviews Adversarial Machine Learning that has many applications in DNN robustness and in privacy protection.

This lecture overviews Mathematical Brain Modeling that has many applications in Artificial Neural Networks.  It covers the following topics in detail: Brain Cells (Sensory and Motor neurons, Interneurons, glia).

Unlock the world of Geometric Learning and Graph Convolutional Networks (GCNs) in this comprehensive course designed to empower you with cutting-edge knowledge and practical skills.

The short course aims to provide the foundation for understanding NGSI-LD Context Broker(s). The course will begin with a brief introduction to JSON-LD (JSON Linked Data) since it is the data format used by NGSI-LD.