# Fine-Grained Mapping Between Daily Activity Features in Smart Homes
## 5 Conclusions
(2018) [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] Evaluating machine learning techniques for activity classification in smart home environments. _Int. J. Inf. Commun. Eng._**2018**, _12_, 48-54. * [PERSON] et al. (2023) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] A Collaborative Semantic Framework Based on Activities for the Development of Applications in Smart Home Living Labs. _Futur. Gener. Comput. Syst._**2023**, _140_, 450-465. [CrossRef]
* [PERSON] et al. (2024) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] MOQEA/D: Multi-objective QEA with decomposition mechanism and excellent global search and its application. _IEEE Trans. Intell. Transp. Syst._**2024**, _25_, 12517-12527. [CrossRef]
* [PERSON] et al. (2024) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] M5 FuNet: An Unsupervised Multivariate Feature Fusion Network for Hyperspectral Image Classification. _IEEE Trans. Geosci. Remote Sens._**2024**, _62_, 1-15. [CrossRef]
* [PERSON] et al. (2024) [PERSON]; [PERSON]; [PERSON] A Flight Arrival Time Prediction Method Based on Cluster Clustering-Based Modular With Deep Neural Network. _IEEE Trans. Intell. Transp. Syst._**2024**, _25_, 6238-6247. [CrossRef]
* [PERSON] et al. (2024) [PERSON]; [PERSON]; [PERSON] IOFL: Intelligent-Optimization-Based Federated Learning for Non-IID Data. _IEEE Internet Things J._**2024**, _11_, 16693-16699. [CrossRef]
* [PERSON] and [PERSON] (2017) [PERSON]; [PERSON]; [PERSON] Activity Recognition in Smart Homes. _Multimed. Tools Appl._**2017**, _76_, 24203-24220. [CrossRef]
* [PERSON] and [PERSON] (2015) [PERSON]; [PERSON] Integration of Discriminative and Generative Models for Activity Recognition in Smart Homes. _Appl. Soft Comput._**2015**, _37_, 992-1001. [CrossRef]
* [PERSON] and [PERSON] (2014) [PERSON]; [PERSON] Latent-Dynamic Conditional Random Fields for Recognizing Activities in Smart Homes. _J. Ambient. Intell. Smart Environ._**2014**, \(6\), 39-55. [CrossRef]
* [PERSON] et al. (2018) [PERSON]; [PERSON]; [PERSON]; [PERSON] A Novel Random Forests Based Class Incremental Learning Method for Activity Recognition. _Pattern Recognit._**2018**, _78_, 277-290. [CrossRef]
* [PERSON] (2017) [PERSON] Active and Adaptive Ensemble Learning for Online Activity Recognition from Data Streams. _Knowl. Based Syst._**2017**, _138_, 69-78. [CrossRef]
* [PERSON] et al. (2014) [PERSON]; [PERSON]; [PERSON]; [PERSON] Clustering-Based Ensemble Learning for Activity Recognition in Smart Homes. _Sensors_**2014**, _14_, 12285-12304. [CrossRef] [PubMed]
* [PERSON] et al. (2018) [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON] Recognizing Multi-Resident Activities in Non-Intrusive Sensor-Based Smart Homes by Formal Concept Analysis. _Neurocomputing_**2018**, _318_, 75-89. [CrossRef]
* [PERSON] et al. (2017) [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON] Human activity recognition using recurrent neural networks. In Proceedings of the International Cross-Domain Conference for Machine Learning and Knowledge Extraction, Reggio, Italy, 29 August-1 September 2017. * [PERSON] et al. (2012) [PERSON]; [PERSON]; [PERSON] [PERSON] A Knowledge-driven approach to activity recognition in smart homes. _IEEE Trans. Knowl. Data Eng._**2012**, _24_, 961-974. [CrossRef]
* [PERSON] et al. (2014) [PERSON]; [PERSON]; [PERSON]; [PERSON] A Fuzzy Ontology for Semantic Modelling and Recognition of Human Behavior. _Knowl. Based Syst._**2014**, _66_, 46-60. [CrossRef]
* [PERSON] et al. (2016) [PERSON]; [PERSON]; [PERSON]. Enhancing Ontological Reasoning with Uncertainty Handling for Activity Recognition. _Knowl. Based Syst._**2016**, _114_, 47-60. [CrossRef]* (45) [PERSON]; [PERSON]; [PERSON] Probabilistic Ontology Based Activity Recognition in Smart Homes Using Markov Logic Network. _Knowl. Based Syst._**2017**, _121_, 173-184. [CrossRef]
* (46) [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON] POLARIS: Probabilistic and Ontological Activity Recognition in Smart-Homes. _IEEE Trans. Knowl.