Results 11 to 20 of about 209,806 (95)
Multi-objective optimisation of reliable product-plant network configuration [PDF]
Applied Network Science, 2018 Ensuring manufacturing reliability is key to satisfying product orders when production plants are subject to disruptions. Reliability of a supply network is closely related to the redundancy of products as production in disrupted plants can be replaced ...
Alexandra Brintrup, Alena Puchkova
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Sensor Network Configuration Learning for Maximizing Application Performance [PDF]
Sensors, 2018 Numerous applications rely on data obtained from a wireless sensor network where application performance is of utmost importance. However, energy usage is also important, and oftentimes, a subset of sensors can be selected to maximize application ...
Joel Helkey, Lawrence Holder
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Differential neural network configuration during human path integration [PDF]
Frontiers in Human Neuroscience, 2014 Path integration is a fundamental skill for navigation in both humans and animals. Despite recent advances in unravelling the neural basis of path integration in animal models, relatively little is known about how path integration operates at a neural ...
Aiden EGF Arnold +5 more
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Lane-based optimization for signalized network configuration designs [PDF]
MATEC Web of Conferences, 2019 Lane-based traffic signal design has been developed for designing signal-controlled intersections. Conventional designs take on fixed configurations as exogenous inputs to design traffic signal settings.
Wong C K, Liu Yi
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Health Services and Delivery Research, 2015 Background: There is a tension in many health-care services between the expertise and efficiency that comes with centralising services and the ease of access for patients.
Michael Allen +6 more
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Configuration and innovation related network topology
Journal of Innovation & Knowledge, 2016 Network topologies attract much theoretical attention in recent studies. Researchers adopt network topology models and assert that specific type of network topology improves product and process innovation.
Ela Ozkan-Canbolat, Aydin Beraha
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GhostNeXt: Rethinking Module Configurations for Efficient Model Design
Applied Sciences, 2023 Despite the continuous development of convolutional neural networks, it remains a challenge to achieve performance improvement with fewer parameters and floating point operations (FLOPs) as a light-weight model.
Kiseong Hong +2 more
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Deep reinforcement learning to enhance the energy-efficient performance of UAV-enabled F-RAN
物联网学报, 2021 Fog radio access network (F-RAN) is suitable for Internet of things applications of national important industries, such as pipeline network monitoring in wide area.However, the performance of the F-RAN based on the territorial fog access point will be ...
Haibo MEI, Kun YANG, Xinyu FAN
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InformationNetwork security courses rely on hands-on labs where students configure virtual Linux networks to practice attack and defense. Automated feedback is scarce because no standard exists for exchanging detailed configurations—interfaces, bridging, routing ...
Yuichiro Tateiwa
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Schmalenbach Journal of Business Research, 2022 We propose a new model formulation for a three-echelon supply network design problem incorporating the concept of relocatable modular capacities. A robust supply network configuration must be determined based on uncertain demand.
Ariane Kayser, Florian Sahling
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