Author:
Sharmila A.,Priya E. L. Dhivya,Tamilselvan K. S.,Anand K. R. Gokul
Publisher
Springer Nature Switzerland
Reference43 articles.
1. Jovanovic, M., Mitrov, G., Zdravevski, E., Lameski, P., Colantonio, S., Kampel, M., Tellioglu, H., & Florez- Revuelta, F. (2022). Ambient assisted living: Scoping review of artificial intelligence models, domains, technology, and concerns. Journal of Medical Internet Research, 24(11), e36553. https://doi.org/10.2196/36553
2. Gams, M., Gu, I. Y.-H., Härmä, A., Muñoz, A., & Tam, V. (2019). Artificial intelligence and ambient intelligence. Journal of Ambient Intelligence and Smart Environments, 11(1), 71–86. https://doi.org/10.3233/AIS-180508
3. Dai, Y., Shen, L., Cao, Y., Lei, T., & Qiao, W. (2019). Detection of vegetation areas attacked by pests and diseases based on adaptively weighted enhanced global and local deep features. IGARSS 2019—2019 IEEE International Geoscience and Remote Sensing Symposium, 6495–6498. https://doi.org/10.1109/IGARSS.2019.8898517
4. Marefat, M., & Juneja, A. (2019). Serverless data parallelization for training and retraining of deep learning architecture in patient-specific arrhythmia detection. IEEE EMBS International Conference on Biomedical & Health Informatics (BHI), 1–4. https://doi.org/10.1109/BHI.2019.8834566
5. Shu, M. (2019). Deep learning for image classification on very small datasets using transfer learning. Creative Components. 345. https://lib.dr.iastate.edu/creativecomponents/345