Searched for: subject%3A%22learning%255C+network%22
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Lin, Haipeng (author)
The high level of realism of spiking neuron networks and their complexity require a considerable computational resources limiting the size of the realized networks. Consequently, the main challenge in building complex and biologically accurate spiking neuron network is largely set by the high computational and data transfer demands. In this...
master thesis 2017
document
Moreira Dias, André (author)
As acquiring design thinking by organizations become a lighthouse for long-term competitive advantage for some, its adoption becomes more important. Companies on this journey face different types of resistance and challenges laid out in this thesis. As networks offer a different context and opportunities for learning, this thesis tries to answer...
master thesis 2018
document
Cao, Qingyuan (author)
This project is dedicated to implementing an unsupervised learning clustering method system for processing big data applied in Intel SGX. Intel SGX is a technology developed to meet the needs of the trusted computing industry similarly to ARM TrustZone, but this time for desktop and server platforms. It is a set of safety-related instruction...
master thesis 2021
document
Soleymani, A. (author), Itard, L.C.M. (author), de Laat, Maarten (author), Valle Torre, M. (author), Specht, M.M. (author)
Learning and educational challenges in the field of indoor climate and building services like energy systems are mainly due to the transformation of professional practices and learning networks, a big shift in the way in which people work, communicate, and share their knowledge and the need for additional workforce, either juniors or coming from...
conference paper 2022
document
Soleymani, A. (author), van den Brom, P.I. (author), Ahmed, Samir (author), Konings, Maaike (author), Sjoer, Ellen (author), Itard, L.C.M. (author), Zeiler, Wim (author), De Laat, Maarten (author), Specht, M.M. (author)
The energy management systems industry in the built environment is currently an important topic. Buildings use about 40% of the total global energy worldwide. Therefore, the energy management system’s sector is one of the most influential sectors to realize changes and transformation of energy use. New data science technologies used in building...
journal article 2023
document
Zhao, Zheyu (author), Cheng, H. (author), Xu, Xiaohua (author)
Massive terminal users have brought explosive need of data residing at edge of overall network. Multiple Mobile Edge Computing (MEC) servers are built in/near base station to meet this need. However, optimal distribution of these servers to multiple users in real time is still a problem. Reinforcement Learning (RL) as a framework to solve...
conference paper 2023
Searched for: subject%3A%22learning%255C+network%22
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