2 citations · 4 across the 14 of their papers we have counts for
9 papers · 1 filter
MTLoc: A Confidence-Based Source-Free Domain Adaptation Approach For Indoor Localization
Negar Mehregan, Berk Bozkurt, Eric Granger +2
Various deep learning models have been developed for indoor localization based on radio-frequency identification (RFID) tags. However, they often require adaptation to ensure accur…
Islanding Detection for Active Distribution Networks Using WaveNet+UNet Classifier
Amirhosein Alizadeh, Seyed Fariborz Zarei, Mohammadhadi Shateri
This paper proposes an AI-based scheme for islanding detection in active distribution networks. By reviewing existing studies, it is clear that there are several gaps in the field…
Cardiotocography Signal Abnormality Detection based on Deep Unsupervised Models
Julien Bertieaux, Mohammadhadi Shateri, Fabrice Labeau +1
Cardiotocography (CTG) is a key element when it comes to monitoring fetal well-being. Obstetricians use it to observe the fetal heart rate (FHR) and the uterine contraction (UC). T…
Learning Sparse Privacy-Preserving Representations for Smart Meters Data
Mohammadhadi Shateri, Francisco Messina, Pablo Piantanida +1
Fine-grained Smart Meters (SMs) data recording and communication has enabled several features of Smart Grids (SGs) such as power quality monitoring, load forecasting, fault detecti…
On the Impact of Side Information on Smart Meter Privacy-Preserving Methods
Mohammadhadi Shateri, Francisco Messina, Pablo Piantanida +1
Smart meters (SMs) can pose privacy threats for consumers, an issue that has received significant attention in recent years. This paper studies the impact of Side Information (SI)…
Privacy-Cost Management in Smart Meters with Mutual Information-Based Reinforcement Learning
Mohammadhadi Shateri, Francisco Messina, Pablo Piantanida +1
The rapid development and expansion of the Internet of Things (IoT) paradigm has drastically increased the collection and exchange of data between sensors and systems, a phenomenon…