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pro vyhledávání: '"Beu, P."'
Autor:
C. M. Leme Beu, E. Landulfo
Publikováno v:
Wind Energy Science, Vol 9, Pp 1431-1450 (2024)
Accurate estimation of the wind speed profile is crucial for a range of activities such as wind energy and aviation. The power law and the logarithmic-based profiles have been widely used as universal formulas to extrapolate the wind speed profile. H
Externí odkaz:
https://doaj.org/article/2a3e833a67b84aaa88da6c628557b2a3
Human-Robot Interaction (HRI) is an emerging subfield of service robotics. While most existing approaches rely on explicit signals (i.e. voice, gesture) to engage, current literature is lacking solutions to address implicit user needs. In this paper,
Externí odkaz:
http://arxiv.org/abs/2202.11337
Autor:
Jayatilaka, Asangi, Beu, Nathan, Baetu, Irina, Zahedi, Mansooreh, Babar, M. Ali, Hartley, Laura, Lewinsmith, Winston
Evaluating the effectiveness of security awareness and training programs is critical for minimizing organizations' human security risk. Based on a literature review and industry interviews, we discuss current practices and devise guidelines for measu
Externí odkaz:
http://arxiv.org/abs/2112.06356
Publikováno v:
Alexandria Engineering Journal, Vol 80, Iss , Pp 282-293 (2023)
In the presented study the Life Cycle Assessment of a LED suspended luminaire manufactured in Romania was performed, with the use of One Click LCA software. The results of the calculations show that the main environmental impact of the LED luminaire
Externí odkaz:
https://doaj.org/article/61ef25d6ca814e8a8e7ab41bb4234820
Structured matrices, such as those derived from Kronecker products (KP), are effective at compressing neural networks, but can lead to unacceptable accuracy loss when applied to large models. In this paper, we propose the notion of doping -- addition
Externí odkaz:
http://arxiv.org/abs/2102.07071
Sequence model based NLP applications can be large. Yet, many applications that benefit from them run on small devices with very limited compute and storage capabilities, while still having run-time constraints. As a result, there is a need for a com
Externí odkaz:
http://arxiv.org/abs/2010.03193
Matrix multiplications between asymmetric bit-width operands, especially between 8- and 4-bit operands are likely to become a fundamental kernel of many important workloads including neural networks and machine learning. While existing SIMD matrix mu
Externí odkaz:
http://arxiv.org/abs/2008.00638
Publikováno v:
Presented at On-device Intelligence Workshop at Third Conference on Machine Learning and Systems (MLSys) 2020
Kronecker Products (KP) have been used to compress IoT RNN Applications by 15-38x compression factors, achieving better results than traditional compression methods. However when KP is applied to large Natural Language Processing tasks, it leads to s
Externí odkaz:
http://arxiv.org/abs/2001.08896
Akademický článek
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MobileNets family of computer vision neural networks have fueled tremendous progress in the design and organization of resource-efficient architectures in recent years. New applications with stringent real-time requirements on highly constrained devi
Externí odkaz:
http://arxiv.org/abs/1911.01028