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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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10/12/2022
On-Premise Artificial Intelligence as a Service for Small and Medium Size Setups
Artificial Intelligence (AI) technologies are moving from customized dep...
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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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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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02/23/2021
Learning to Fairly Classify the Quality of Wireless Links
Machine learning (ML) has been used to develop increasingly accurate lin...
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02/05/2021
Improving CSI-based Massive MIMO Indoor Positioning using Convolutional Neural Network
Multiple-input multiple-output (MIMO) is an enabling technology to meet ...
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08/12/2020
Learning to Detect Anomalous Wireless Links in IoT Networks
After decades of research, Internet of Things (IoT) is finally permeatin...
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07/03/2020
On Designing a Machine Learning Based Wireless Link Quality Classifier
Ensuring a reliable communication in wireless networks strictly depends ...
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12/07/2018
