원문정보
초록
영어
Internet of Things (IoT) is supposed to revolutionize the future extended smart applications and also helped to create the smart environments such as smart cities, smart buildings, smart kitchen, smart vehicles and also smart hospitals for every moment monitoring of the MAPE 15.15, VAF 96.16% and R2 0.92) is better than normal IoT based kitchen. Therefore, our proposed model is Patients. Artificial Intelligence (AI) plays a spreading role in IoT development and applications. Till date, most of the major companies integrated their IoT platforms with AI capabilities such as analytics based on Deep and Machine learning based. Synergy of IoT and AI is the key to unlock the potential of IoT. This paper proposed a smart kitchen system in this regard. An approach of prediction and tracing has been adopted with various prediction-based algorithms while using the devices (components of kitchen). Predictions are calculated to achieve subsequent next acknowledgment focusing on specific occasions for mechanization. Experimental results show that our proposed model of Smart kitchen (RMSE 0.0561, better and promising way for research and development engineers in the task of implementing smart kitchen.
목차
1. Introduction
2. Related Work
3. Methodology
4. Proposed Work
5. Experimental Evaluation
6. Conclusion
References