Zobrazeno 1 - 10
of 115
pro vyhledávání: '"Moin Ali"'
Autor:
Liu, Ran, Ma, Wenrui, Zippi, Ellen, Pouransari, Hadi, Xiao, Jingyun, Sandino, Chris, Mahasseni, Behrooz, Minxha, Juri, Azemi, Erdrin, Dyer, Eva L., Moin, Ali
Time series data are inherently functions of time, yet current transformers often learn time series by modeling them as mere concatenations of time periods, overlooking their functional properties. In this work, we propose a novel objective for trans
Externí odkaz:
http://arxiv.org/abs/2410.08421
Autor:
Patel, Gaurav, Sandino, Christopher, Mahasseni, Behrooz, Zippi, Ellen L, Azemi, Erdrin, Moin, Ali, Minxha, Juri
In this paper, we propose a framework for efficient Source-Free Domain Adaptation (SFDA) in the context of time-series, focusing on enhancing both parameter efficiency and data-sample utilization. Our approach introduces an improved paradigm for sour
Externí odkaz:
http://arxiv.org/abs/2410.02147
Autor:
Liu, Ran, Zippi, Ellen L., Pouransari, Hadi, Sandino, Chris, Nie, Jingping, Goh, Hanlin, Azemi, Erdrin, Moin, Ali
Leveraging multimodal information from biosignals is vital for building a comprehensive representation of people's physical and mental states. However, multimodal biosignals often exhibit substantial distributional shifts between pretraining and infe
Externí odkaz:
http://arxiv.org/abs/2309.05927
Autor:
Benarrouch, Robin, Moin, Ali, Solt, Flavien, Frappé, Antoine, Cathelin, Andreia, Kaiser, Andreas, Rabaey, Jan
Sharing a common clock signal among the nodes is crucial for communication in synchronized networks. This work presents a heartbeat-based synchronization scheme for body-worn nodes. The principles of this coordination technique combined with a punctu
Externí odkaz:
http://arxiv.org/abs/2005.05915
Akademický článek
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Varying contraction levels of muscles is a big challenge in electromyography-based gesture recognition. Some use cases require the classifier to be robust against varying force changes, while others demand to distinguish between different effort leve
Externí odkaz:
http://arxiv.org/abs/1901.00234
Publikováno v:
IEEE Access, Vol 11, Pp 142628-142642 (2023)
Successful exchanges of cooperative awareness messages (CAMs) among neighboring vehicles are essential in the intelligent transportation system (ITS) to ensure safe autonomous driving. Especially in cellular vehicle-to-everything (C-V2X) mode-4, wher
Externí odkaz:
https://doaj.org/article/5e0889c77246429ab8d846d65a89ed55
The increasing penetration of wearable and implantable devices necessitates energy-efficient and robust ways of connecting them to each other and to the cloud. However, the wireless channel around the human body poses unique challenges such as a high
Externí odkaz:
http://arxiv.org/abs/1807.09723
Autor:
Moin, Ali, Zhou, Andy, Rahimi, Abbas, Benatti, Simone, Menon, Alisha, Tamakloe, Senam, Ting, Jonathan, Yamamoto, Natasha, Khan, Yasser, Burghardt, Fred, Benini, Luca, Arias, Ana C., Rabaey, Jan M.
EMG-based gesture recognition shows promise for human-machine interaction. Systems are often afflicted by signal and electrode variability which degrades performance over time. We present an end-to-end system combating this variability using a large-
Externí odkaz:
http://arxiv.org/abs/1802.10237
Autor:
Zhou, Andy, Santacruz, Samantha R., Johnson, Benjamin C., Alexandrov, George, Moin, Ali, Burghardt, Fred L., Rabaey, Jan M., Carmena, Jose M., Muller, Rikky
Closed-loop neuromodulation systems aim to treat a variety of neurological conditions by dynamically delivering and adjusting therapeutic electrical stimulation in response to a patient's neural state, recorded in real-time. Existing systems are limi
Externí odkaz:
http://arxiv.org/abs/1708.00556