Publications

2022[ to top ]
  • Nivarthi, C.P., Vogt, S., Sick, B.: Unified Autoencoder with Task Embeddings for Multi-Task Learning in Renewable Power Forecasting In: International Conference on Machine Learning and Applications (ICMLA). bll 1530–1536. IEEE (2022). https://doi.org/10.1109/ICMLA55696.2022.00240.
  • Nivarthi, C.P.: Transfer Learning as an Essential Tool for Digital Twins in Renewable Energy Systems In: Tomforde, S. en Krupitzer, C. (reds) Organic Computing -- Doctoral Dissertation Colloquium 2021. bll 47–59. kassel university press (2022).
2021[ to top ]
  • Gruhl, C., Hannan, A., Huang, Z., Nivarthi, C., Vogt, S.: The Problem with Real-World Novelty Detection -- Issues in Multivariate Probabilistic Models In: Workshop on Self-Improving System Integration (SISSY), ACSOS. bll 204–209. IEEE (2021). https://doi.org/10.1109/acsos-c52956.2021.00055.
2020[ to top ]
  • Singh, A., Nivarthi, C.P., Akhilesh, K.B.: Implementing IoT in India---A Look at Macro Issues and a Framework for Recommendations In: Akhilesh, K.B. en Möller, D.P.F. (reds) Smart Technologies : Scope and Applications. bll 35–52. Springer (2020). https://doi.org/10.1007/978-981-13-7139-4_3.
  • Nivarthi, C.P., Akhilesh, K.B.: Cybercare---Role of Cyber Security in Healthcare Industry In: Akhilesh, K.B. en Möller, D.P.F. (reds) Smart Technologies : Scope and Applications. bll 291–304. Springer (2020). https://doi.org/10.1007/978-981-13-7139-4_22.