Results 21 to 30 of about 22,284,815 (342)
Nature Electronics, 2022 Reservoir computing offers a powerful neuromorphic computing architecture for spatiotemporal signal processing. To boost the power efficiency of the hardware implementations of reservoir computing systems, analogue devices and components—including ...
Yanan Zhong +11 more
semanticscholar +1 more source
Design Science, 2016 Design grammars enable the formal representation of a vocabulary and rules that describe how designs can be synthesized just as the grammar rules of a spoken language define how to formulate valid, i.e., grammatically correct, sentences.
Corinna Königseder +2 more
doaj +1 more source
Dynamic Service Migration in Mobile Edge Computing Based on Markov Decision Process
IEEE/ACM Transactions on Networking, 2019 In mobile edge computing, local edge servers can host cloud-based services, which reduces network overhead and latency but requires service migrations as users move to new locations.
Shiqiang Wang +5 more
semanticscholar +1 more source
Energy-Efficient Post-Failure Reconfiguration of Swarms of Unmanned Aerial Vehicles
IEEE Access, 2023 In this paper, the reconfiguration of swarms of unmanned aerial vehicles after simultaneous failures of multiple nodes is considered. The objectives of the post-failure reconfiguration are to provide collision avoidance and smooth energy-efficient ...
Anam Tahir +3 more
doaj +1 more source
Self-service analytics and the processing of hydrocarbons
Digital Chemical Engineering, 2022 This paper describes the use of self-service analytics on time series process data for the troubleshooting and optimization of refinery operations in the context of data visualization principles and best practices.
Lim C. Siang +2 more
doaj +1 more source
Neuromorphic computing with nanoscale spintronic oscillators [PDF]
Nature, 2017 Neurons in the brain behave as nonlinear oscillators, which develop rhythmic activity and interact to process information. Taking inspiration from this behaviour to realize high-density, low-power neuromorphic computing will require very large numbers of
J. Torrejon +12 more
semanticscholar +1 more source
Engineering Science and Technology, an International Journal, 2020 The objective of this research is to study the correlation between response surface methodology (RSM) and artificial neural network (ANN) on the antioxidant activity and phenolic compound extracted from unripe Musa acuminata peel waste by microwave ...
Farhan M. Said +2 more
doaj +1 more source
Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to Hardware
ACM Computing Surveys, 2022 Neuromorphic Computing, a concept pioneered in the late 1980s, is receiving a lot of attention lately due to its promise of reducing the computational energy, latency, as well as learning complexity in artificial neural networks.
Nitin Rathi +6 more
semanticscholar +1 more source
Tensile properties of multi-material interfaces in 3D printed parts
Materials & Design, 2019 Due to continuing progress in multi-material additive manufacturing, the design space for multifunctional and functionally graded materials and structures is significantly increased. To take full advantage of this capability, a solid understanding of the
Thomas S. Lumpe +2 more
doaj +1 more source
Soft computing applications in dynamic model identification of polymer extrusion process [PDF]
, 2004 This paper proposes the application of soft computing to deal with the constraints in conventional modelling techniques of the dynamic extrusion process.
Ahmad Lotfi +9 more
core +1 more source