ADR Awareness Centre

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

This lecture overviews Deep Autoencoders that has many applications in image denoising, classification, generation and in object pose estimation.

Self-awareness is a broad concept borrowed from cognitive science and psychology that describes the property of a system, which has knowledge of “itself,” based on its own senses and internal models.

This lecture overviews Wireless Communication Networks  that has many applications in autonomous systems.

Recently, Convolutional Neural Networks (CNNs) have been used for object/target (e.g., face, person, car, pedestrian, road sign) detection with great results.

This lecture overviews Signals and Systems. 1D signals, 2D signals (images), 3D signals (videos, medical volumes) are presented. Multichannel signals come next.

This lecture overviews the topics of continuous-time periodic signals, signal frequencies and Fourier Transform (FT).  Its relation to Laplace transform is presented.

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

This lecture overviews that has many applications in data analysis. It covers the following topics in detail: Syntactic Pattern Recognition Systems. Preprocessing Techniques. String-Based Models.

Introduction Eating and Drinking Activity Recognition Database (MOBISERV-AIIA Database) was created in order to fulfill the need for a good benchmarking database for the evaluation of specialized meal intake (such as eating and drinking) activity rec

This lecture overviews Drone Communication Networks that has many applications in autonomous drones.

In contrast with random uniform instances, industrial SAT instances of large size are solvable today by state-of-the-art algorithms.