ADR Awareness Centre

This book provides an introduction and an overview of learning to quantify (a.k.a. “quantification”), the task of training, by means of supervised learning, estimators of class proportions in unlabelled data.

The focus of this survey is on research in applying evolutionary and other metaheuristic search algorithms to automatically generating content for games, both digital and nondigital (such as board games).

This lecture overviews LiDAR principles and technology. Active 3D shape reconstruction methods. Time-of-Flight principle. Pulsed wave. Continuous-wave propagation. Laser ToF Technology: LiDAR.

This lecture overviews Autonomous Systems Sensors  that has many applications in Autonomous robots, cars, vessels and drones.

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

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 si