Kategoria BISAC: Computers >> Data Science - General

Today, the reality we know can be recorded and reproduced true to reality using technical processes. Space and time are recreated virtually as a copy in artificial reality. However, the reproduction of virtual reality is not limited to a mere copy of what exists. A visitor to the virtual space does not have to be content with the pixelated image of the old familiar, but can encounter unreal phenomena in the illusory world that never existed in real life or are even physically impossible. This enables an expansion of the recorded reality and allows the perception of surprisingly new...

This book constitutes the refereed proceedings of the 12th International Conference on Videogame Sciences and Arts, VJ 2020, held in Mirandela, Portugal, in November 2020.*

The 10 full papers presented were carefully reviewed and selected from 46 submissions. 

*The conference was held online due to the COVID-19 pandemic.

This book comprises a number of state-of-the-art contributions from both scientists and practitioners working in a large pool of fields where AI and IoT can open up new horizons. Artificial intelligence and Internet of Things have introduced themselves today as must-have technologies in almost every sector. Ranging from agriculture to industry and health care, the scope of applications of AI and IoT is as wide as the horizon. Nowadays, these technologies are extensively used in developed countries, but they are still at an early stage in emerging countries.

AI and IoT for...

This book provides a collection of recent research works addressing theoretical issues on improving the learning process and the generalization of GANs as well as state-of-the-art applications of GANs to various domains of real life. Adversarial learning fascinates the attention of machine learning communities across the world in recent years. Generative adversarial networks (GANs), as the main method of adversarial learning, achieve great success and popularity by exploiting a minimax learning concept, in which two networks compete with each other during the learning process. Their key...