The last few years have seen a huge explosion in the use of Machine Learning (ML)-based approaches, particularly Deep Neural Networks (DNNs) in a variety of fields, to solve complex prediction problems, or in industry to provide a very effective predictive maintenance system for equipment, or in the field of image manipulation and computer vision. In addition, recent publications have contributed to the evolution of Intelligent User Interfaces (IUIs) through DNN-based approaches. This paper aims to share a recent overview of published work on the development of IUIs, initially through ML techniques and then, analyze only those based on DNN models. The ultimate goal is to provide researchers with concrete support to be able to develop IUI projects and to be able to inform them about the latest developments on Artificial Intelligence (AI) models used in this field.
|Advanced Information Networking and Applications - Proceedings of the 36th International Conference on Advanced Information Networking and Applications AINA-2022
|Leonard Barolli, Farookh Hussain, Tomoya Enokido
|ISBN van elektronische versie
|ISBN van geprinte versie
|Published - 2022
|Lecture Notes in Networks and Systems
Bibliografische notaFunding Information:
Acknowledgments. This paper has been produced with the financial support of the Justice Programme of the European Union, 101046629 CREA2, JUST-2021-EJUSTICE, JUST2027 Programme. The contents of this report are the sole responsibility of the authors and can in no way be taken to reflect the views of the European Commission.
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Copyright 2022 Elsevier B.V., All rights reserved.