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Internet of Things (IoT)
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In Proceedings of the SustKDD Workshop on Data Mining Applications in Sustainability,
http://redd.csail.mit.edu/
LeCun, Y., Kavukcuoglu, K. and Farabet, C. 2010. Convolutional networks and applications in vision,
In Proceedings of the International Symposium on Circuits and Systems (ISCAS'10), May 30–June 2,
Paris, France, pp. 253–256, IEEE.
Liu, J. and Tong, W., 2010. Dynamic services model based on context resources in the Internet of
Things. In Procededings of 2010 6th International Conference on Wireless Communications Networking
and Mobile Computing (WiCOM), September 23–25, Chengdu City, China, pp. 1–4.
Mao, M. et al., 2010. Solution to intelligent management and control of digital home. In 3rd International
Conference on Biomedical Engineering and Informatics (BMEI). IEEE Conference Publications,
October 16–18, Yantai, China.
Marino, D. L., Amarasinghe, K. and Manic, M., 2016, Building Energy Load Forecasting Using Deep
Neural Networks. https://arxiv.org/abs/1610.09460 (accessed September 16, 2016).
Najafabadi, M. M., Villanustre, F., Khoshgoftaar, T. M., Seliya, N., Wald, R. and Muharemagic, E. 2015.
Deep learning applications and challenges in big data analytic, Journal of Big Data, 2(1), 1–21.
DOI: 10.1186/s40537-014-0007-7.
Panda, M. 2016. Towards the effectiveness of the deep convolutional neural network based fast random forest classifier. https://arxiv.org/ftp/arxiv/papers/1609/1609.08864.pdf (accessed June 24,
2017).
Poniszewska-Maranda, A. and Kaczmarek, D. 2015. Selected methods of artificial intelligence for
Internet of Things conception. In Proceedings of the Federated Conference on Computer Science and
Information Systems, September 13–16, Technical university of Lodz, Poland, pp. 1343–1348.
Ranganatham, P. 2011. Smart Grid data analytics for decision support. In IEEE 2011 Electrical Power
and Energy Conference, October 3–5, Winnipeg, MB, Canada. pp. 1–6.
Rodrigues, F., Cardeira, C. and Calado, J. M. F. 2014. The daily and hourly energy consumption and
load forecasting using artificial neural network method: A case study using a set of 93 households in Portugal. In 6th International Conference on Sustainability in Energy and Buildings, SEB-14,
Energy Procedia, June 25–27. Cardiff, Wales, UK. pp. 220–229.
Xu, Y. 2015. Recent machine learning applications to Internet of Things (IoT), http://www.cs.wustl.
edu/~jain/cse570-15/ftp/iot_ml.pdf (accessed January 22, 2017).