Challenges and trends in Ambient Intelligence
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-020-02023-w.pdf
Reference18 articles.
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2. Carneiro D, Pimenta A, Gonçalves S, Neves J, Novais P (2016) Monitoring and improving performance in human–computer interaction. Concurrency and Computation: Practice and Experience 28:1291–1309. https://doi.org/10.1002/cpe.3635
3. Casteleiro-Roca J, Gomes M, Méndez-Pérez JA, Alaiz-Moretón H, del Meizoso-López MC, Rodríguez-Gómez BA, Calvo-Rolle JL (2019) Electromyogram prediction during anesthesia by using a hybrid intelligent model. J Ambient Intell Human Comput. https://doi.org/10.1007/s12652-019-01426-8
4. Chamoso P, Bartolomé Á, García-Retuerta D, Prieto J, De La Prieta F (2020) Profile generation system using artificial intelligence for information recovery and analysis. J Ambient Intell Human Comput. https://doi.org/10.1007/s12652-020-01942-y
5. Chauhan V, Soni S (2019) Mobile sink-based energy efficient cluster head selection strategy for wireless sensor networks. J Ambient Intell Human Comput. https://doi.org/10.1007/s12652-019-01509-6
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