Zobrazeno 1 - 10
of 10 518
pro vyhledávání: '"efficient machine learning"'
Autor:
Wang, Ziheng, Reviriego, Pedro, Niknia, Farzad, Conde, Javier, Liu, Shanshan, Lombardi, Fabrizio
Publikováno v:
IEEE Internet of Things Journal 2023 Volume:11, Issue:8
The implementation of machine learning in Internet of Things devices poses significant operational challenges due to limited energy and computation resources. In recent years, significant efforts have been made to implement simplified ML models that
Externí odkaz:
http://arxiv.org/abs/2408.14528
Autor:
Modi, P
With the rise in the number of IoT devices and its users, security in IoT has become a big concern to ensure the protection from harmful security attacks. In the recent years, different variants of DDoS attacks have been on the rise in IoT devices. F
Externí odkaz:
http://arxiv.org/abs/2408.10267
Autor:
Pijlman, Fetze
The use of machine learning for building a classifier in signal processing for motion sensing presents unique challenges. This paper proposes a novel method that effectively addresses the combination of skewed data sets and optimization requirements.
Externí odkaz:
http://arxiv.org/abs/2406.16723
Autor:
Poliszczuk, Artem, Wilkins, Dan, Allen, Steven W., Miller, Eric D., Chattopadhyay, Tanmoy, Schneider, Benjamin, Darve, Julien Eric, Bautz, Marshall, Falcone, Abe, Foster, Richard, Grant, Catherine E., Herrmann, Sven, Kraft, Ralph, Morris, R. Glenn, Nulsen, Paul, Orel, Peter, Schellenberger, Gerrit, Stueber, Haley R.
Traditional cosmic ray filtering algorithms used in X-ray imaging detectors aboard space telescopes perform event reconstruction based on the properties of activated pixels above a certain energy threshold, within 3x3 or 5x5 pixel sliding windows. Th
Externí odkaz:
http://arxiv.org/abs/2407.16768
Autor:
Geissler, Daniel, Lukowicz, Paul
Hybrid intelligence aims to enhance decision-making, problem-solving, and overall system performance by combining the strengths of both, human cognitive abilities and artificial intelligence. With the rise of Large Language Models (LLM), progressivel
Externí odkaz:
http://arxiv.org/abs/2407.10580
Autor:
Kulkarni, Abhijit, Teodorescu, Remus
A key function of battery management systems (BMS) in e-mobility applications is estimating the battery state of health (SoH) with high accuracy. This is typically achieved in commercial BMS using model-based methods. There has been considerable rese
Externí odkaz:
http://arxiv.org/abs/2406.06151
Discovering features that set elite players apart is of great significance for eSports coaches as it enables them to arrange a more effective training program focused on improving those features. Moreover, finding such features results in a better ev
Externí odkaz:
http://arxiv.org/abs/2407.11972
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