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08/07/2023
Deep Feature Learning for Wireless Spectrum Data
In recent years, the traditional feature engineering process for trainin...
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07/18/2023
Towards Sustainable Deep Learning for Multi-Label Classification on NILM
Non-intrusive load monitoring (NILM) is the process of obtaining applian...
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05/17/2023
XAI for Self-supervised Clustering of Wireless Spectrum Activity
The so-called black-box deep learning (DL) models are increasingly used ...
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10/12/2022
Resource-aware Deep Learning for Wireless Fingerprinting Localization
Location based services, already popular with end users, are now inevita...
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09/22/2022
Self-supervised Learning for Clustering of Wireless Spectrum Activity
In recent years, much work has been done on processing of wireless spect...
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05/09/2022
On Designing Data Models for Energy Feature Stores
The digitization of the energy infrastructure enables new, data driven, ...
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04/06/2022
Dimensionality Expansion and Transfer Learning for Next Generation Energy Management Systems
Electrical management systems (EMS) are playing a central role in enabli...
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01/22/2022
Towards Sustainable Deep Learning for Wireless Fingerprinting Localization
Location based services, already popular with end users, are now inevita...
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04/02/2021
