ADR Awareness Centre

This lecture overviews Blockchain Technology that has many applications in Cryptocurrencies, Identity Management and Biometrics. It covers the following topics in detail: Introduction to Cryptography, Blockchain and Blockchain Consensus Algorithms.

This lecture overviews the use of drones for infrastructure inspection and maintenance. Various types of inspection, e.g., using visual cameras, LIDAR or thermal cameras are reviewed. Primary application area is electric line inspection.

This lecture overviews Visual Speech Recognition that has many applications in Human-centered Computing, Image and Video Analysis and Social Media Analytics.

This lecture overviews Signal Sampling that has many applications in signal acquisition, processing and analysis. It covers the following topics in detail: Discrete/Continuous Signals, Signal Sampling, Signal Reconstruction, Signal Quantization.

This lecture overviews Privacy Protection, Ethics and Regulations for Autonomous Systems that has many applications in Autonomous cars and drones.

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 study addresses the lack of a systematic analysis of British COVID-19 discourse during the pandemic, which has sparked intense public debate globally.

This lecture overviews Human Centered Computing that has many applications in Human-Computer Interfaces, Data Analytics and Social Media Analytics.

This book aims to be the first comprehensive textbook on the application and use of artificial intelligence (AI) in, and for, games.

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

Video summarization technologies aim to create a concise and complete synopsis by selecting the most informative parts of the video content.

Due to the proliferation of whole-slide-imaging (WSI) digital scanners it is now possible to leverage computer vision, image analysis, and machine learning techniques, such as deep learning to process the digital pathology images in hopes to derive