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Smart meter data analytics applications for secure, reliable and robust grid system: Survey and future directions
The new power sector scenario has focused on integrating renewable energy sources into
the grid and achieving trustworthy consumer-utility-stakeholder relationships using smart …
the grid and achieving trustworthy consumer-utility-stakeholder relationships using smart …
A review on transferability estimation in deep transfer learning
Deep transfer learning has become increasingly prevalent in various fields such as industry
and medical science in recent years. To ensure the successful implementation of target …
and medical science in recent years. To ensure the successful implementation of target …
On the effect of pre-training for transformer in different modality on offline reinforcement learning
S Takagi - Advances in Neural Information Processing …, 2022 - proceedings.neurips.cc
We empirically investigate how pre-training on data of different modalities, such as language
and vision, affects fine-tuning of Transformer-based models to Mujoco offline reinforcement …
and vision, affects fine-tuning of Transformer-based models to Mujoco offline reinforcement …
AutoSourceID-FeatureExtractor-Optical image analysis using a two-step mean variance estimation network for feature estimation and uncertainty characterisation
Aims. In astronomy, machine learning has been successful in various tasks such as source
localisation, classification, anomaly detection, and segmentation. However, feature …
localisation, classification, anomaly detection, and segmentation. However, feature …