Search Results - "Rahimi, Setareh"

Self-Supervised Human Activity Recognition With Localized Time-Frequency Contrastive Representation Learning by Taghanaki, Setareh Rahimi, Rainbow, Michael, Etemad, Ali

“…In this article, we propose a self-supervised learning solution for human activity recognition with smartphone accelerometer data. We aim to develop a model…”
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Time-Lagged Multidimensional Pattern Connectivity (TL-MDPC): An EEG/MEG pattern transformation based functional connectivity metric by Rahimi, Setareh, Jackson, Rebecca, Farahibozorg, Seyedeh-Rezvan, Hauk, Olaf

“…•TL-MDPC is a multidimensional functional connectivity method for event-related EMEG.•TL-MDPC captures both unidimensional and multidimensional…”
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Task modulation of spatiotemporal dynamics in semantic brain networks: An EEG/MEG study by Rahimi, Setareh, Farahibozorg, Seyedeh-Rezvan, Jackson, Rebecca, Hauk, Olaf

“…•Semantic task demands affect activity and connectivity at different processing stages.•Earliest task modulations occurred in posterior visual brain…”
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Self-supervised Human Activity Recognition by Learning to Predict Cross-Dimensional Motion by Taghanaki, Setareh Rahimi, Rainbow, Michael, Etemad, Ali

“…We propose the use of self-supervised learning for human activity recognition with smartphone accelerometer data. Our proposed solution consists of two steps…”
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Mapping the spatial sources of atmospheric dust using GLUE and Monte Carlo simulation by Gholami, Hamid, Rahimi, Setareh, Fathabadi, Aboalhasan, Habibi, Samaneh, Collins, Adrian L.

“…Atmospheric dust has many negative impacts within different ecosystems and it is therefore beneficial to assemble reliable evidence on the key sources of the…”
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Investigation of the chemical nature of precipitation and source apportionment of its constituents in Tehran metropolis, Iran by Rahimi, Setareh, Malakooti, Hossein, Aliakbari Bidokhti, Abbasali

“…Precipitation is a key process for purifying the atmosphere of pollutants. However, precipitation chemistry is also a significant environmental catastrophe on…”
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Predicting land susceptibility to atmospheric dust emissions in central Iran by combining integrated data mining and a regional climate model by Gholami, Hamid, Mohamadifar, Aliakbar, Rahimi, Setareh, Kaskaoutis, Dimitris G., Collins, Adrian L.

“…This study aims to predict land susceptibility (a term that indicates the degree of sensitivity of land to detachment of soil particles by wind) to dust…”
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Self-Supervised Learning for IMU-Based Human Activity Recognition by Taghanaki, Setareh Rahimi

“…In recent years, human activity recognition has drawn considerable attention due to its application in a variety of areas such as smart homes and health. The…”
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Self-Supervised Human Activity Recognition with Localized Time-Frequency Contrastive Representation Learning by Taghanaki, Setareh Rahimi, Rainbow, Michael, Etemad, Ali

“…In this paper, we propose a self-supervised learning solution for human activity recognition with smartphone accelerometer data. We aim to develop a model that…”
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Wearable-based Classification of Running Styles with Deep Learning by Taghanaki, Setareh Rahimi, Rainbow, Michael, Etemad, Ali

“…Automatic classification of running styles can enable runners to obtain feedback with the aim of optimizing performance in terms of minimizing energy…”
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