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Network architectures supporting learnability [PDF]
Philosophical Transactions of the Royal Society B: Biological Sciences, 2020 Human learners acquire complex interconnected networks of relational knowledge. The capacity for such learning naturally depends on two factors: the architecture (or informational structure) of the knowledge network itself and the architecture of the computational unit—the brain—that encodes and processes the information.
Perry Zurn, Danielle S. Bassett
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A Security Management Architecture for Time Synchronization Towards High Precision Networks
IEEE Access, 2021 Time synchronization is quickly becoming a fundamental prerequisite for a smart society. With the development of the fifth-generation (5G) network, time-sensitive networking (TSN), and the rise of high-precision networks, its accurate and reliable ...
Hongxing Li +5 more
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Integration of life cycle assessment and life cycle costing within a BIM-based environment
Frontiers in Sustainability, 2022 A building information modeling (BIM)-integrated workflow for quantifying and assessing the environmental and economic impacts during the life cycle of buildings is presented and deepened in this essay. With the support of digital methods and informative
Salvatore Viscuso +5 more
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Robust Autonomous Intersection Control Approach for Connected Autonomous Vehicles
IEEE Access, 2020 Traffic light-free intersection control is envisioned to alleviate congestion and manage vehicles intelligently. With the help of vehicle-to-infrastructure (V2I) communication and edge computing (EC), vehicles are instructed to cross the intersection ...
Yuheng Zhang +4 more
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IET Intelligent Transport Systems, 2023 Multi‐agent reinforcement learning has played an increasingly important role in intelligent traffic signal control due to its self‐learning ability. However, existing algorithms only focus on signal timing mechanism design while ignoring the exponential ...
Tianfeng Hu +3 more
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A Highly Accurate Positioning Solution for C-V2X Systems
Sensors, 2021 Cellular vehicle-to-everything (C-V2X) is essential in enabling safe, reliable, and efficient transportation services. It serves as serve as the foundation for vehicles to communicate with each other and everything around them. One fundamental element in
Qi Liu +8 more
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Optimising resource allocation for virtual network functions in SDN/NFV‐enabled MEC networks
IET Communications, 2021 Network function virtualisation (NFV), software defined networks (SDNs), and mobile edge computing (MEC) are emerging as core technologies to satisfy increasing number of users' demands in 5G and beyond wireless networks. SDN provides clean separation of
Nahida Kiran +3 more
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Quantifying Loopy Network Architectures
PLoS ONE, 2012 Biology presents many examples of planar distribution and structural networks having dense sets of closed loops. An archetype of this form of network organization is the vasculature of dicotyledonous leaves, which showcases a hierarchically-nested architecture containing closed loops at many different levels.
Katifori, E., Magnasco, M.
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Wireless Multicast of Virtual Reality Videos With MPEG-I Format
IEEE Access, 2019 Deploying virtual reality (VR) streaming systems over wireless networks can provide an immersive environment for users without behavioral restrictions, and thus has drawn considerable attentions recently.
Zhang Zhilong +3 more
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Dual-flow network with attention for autonomous driving
Frontiers in Neurorobotics, 2023 We present a dual-flow network for autonomous driving using an attention mechanism. The model works as follows: (i) The perception network extracts red, blue, and green (RGB) images from the video at low speed as input and performs feature extraction of ...
Lei Yang +5 more
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