ADR Awareness Centre

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.

This lecture overviews Video Production that has many applications in movie and TV productions. It covers the following topics in detail: Pre-Production.

This lecture Video Processing and Standards Conversion  that has many applications in video denoising, video interpolation and de-interlacing. It covers the following topics in detail: Continouous and discrete multidimensional signals.

This lecture overviews Label Propagation that has many applications in pattern recognition (semi-supervised learning) and in the study of diffusion processes.

AI is a rapidly emerging field that has opened up new vistas of innovation and creativity. From intelligent systems to self-driving cars, AI has transformed the way we live and work.

This lecture overviews Edge Detection that has many applications in image analysis, notably shape description and object recognition. It covers the following topics in detail: Edge detection using numerical differentiation or image statistics.

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.

This lecture overviews continuous-time Signals and Systems topics. Continuous-time signals are presented: periodic signals, delta function, unit step signal, exponential signal, trigonometric signals, complex exponential signal.

This lecture overviews Special topics in Object Detection that has many applications in embedded computing and drone vision.

This lecture overviews Image Perception. This is very important to understand image quality issues and develop many appropriate image processing operations.

This lecture overviews Autonomous Underwater Vessel Perception that has many applications in Autonomous Underwater Vessel missions.

The talk discusses the long-standing vision of creating autonomous robots capable of assisting humans in daily life. A crucial step toward this goal is enabling robots to learn tasks based on environmental cues or higher-level instructions.