Displaying 115 resources
Geometric deep learning
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.
Interoperability with JSON-LD and NGSI-LD via Orion Context Broker
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.
Imaging for Drone Safety
This lecture overviews Imaging for Drone Safety that has many applications in autonomous drones.
1D Convolutional Neural Networks
This lecture overviews 1D Convolutional Neural Networks that has many applications in 1D signal analysis.
Introduction to Autonomous Systems
A fully autonomous system can: a) gain information about the environment, b) work for an extended period without human intervention, c) move either all or part of itself throughout its operating environment without human assistance and d) avoid situa
Road Condition Assessment
This lecture overviews Road Condition Assessment that has many applications in autonomous car perception and smart city management. It covers the following topics in detail:
Attention and Transformers Networks
In this lecture, the limitations of Recurrent Neural Networks (RNNs) and Convolutional Neural Networks (CNNs) in effectively processing sequences are emphasized.
Artificial Neural Networks. Perceptron
This lecture will cover the basic concepts of Artificial Neural Networks (ANNs): Biological neural models, Perceptron, Activation functions, Loss types, Steepest Gradient Descent, On-line Perceptron training, Batch Perceptron training.
Statistical Detection
This lecture overviews Statistical Detection that has many applications in Machine Learning, Signal Analysis and Statistical Communications.
Laplace Transform
This lecture presents Laplace Transform (LT) and its region of convergence. Its relation to Laplace transform is presented. Notable LT properties are reviewed: time shift, convolution, signal differentiation/integration.
Z Transform
This lecture overviews Z Transform that has many applications in signal processing and systems theory.
Intelligent Monitoring and Control of Interconnected Cyber-Physical Systems
The emergence of interconnected cyber-physical systems and sensor/actuator networks has given rise to advanced automation applications, where a large amount of sensor data is collected and processed in order to make suitable real-time decisions and