Owing to the tendency to convert ordinary homes to smart ones, there are novel opportunities for home energy management systems to exploit the binary and analog …
A Huerga, U Aguilera, A Almeida… - 2022 7th International …, 2022 - ieeexplore.ieee.org
As quantum computing technologies become more mature, their applicability increases. One of the main challenges in intelligent environments is to correctly model and ascertain the …
V Roy, A Desai - Cognitive big data intelligence with a metaheuristic …, 2022 - Elsevier
An analytical discussion on web users' decision-making behavior using heuristics is presented. We have compared and performed a detailed study of different deep learning …
T Baranwal, R Nijhawan, S Vyas - Computational Intelligence in …, 2023 - taylorfrancis.com
This chapter presents an overview of the critical IoT-based intelligent home technologies. It begins with the smart home concept, which establishes the review's standpoint. It explains …
P Liu, T Lu, N Gu - 2021 IEEE 24th International Conference on …, 2021 - ieeexplore.ieee.org
People with disabilities face a lot of inconvenience in daily life, even in their homes where are the most familiar environment. They are difficult to complete the operation of simple …
J Cumin, G Lefebvre, F Ramparany… - ACM Transactions on …, 2020 - dl.acm.org
Autonomy and adaptability are essential components of ambient intelligence. For example, in smart homes, proactive acting and occupants advising, adapted to current and future …
H Shao - Mobile Information Systems, 2022 - Wiley Online Library
Aiming at the problems of difficult action recognition and low prediction accuracy in the process of music and dance movement. This paper proposes a music and dance motion …
SJ Miah - Handbook of large-scale distributed computing in smart …, 2017 - Springer
Over the past two decades, many large-scale innovations have been designed for the individuals' information support in improving public healthcare. Studies show rapidly …