A Machine Learning-Aided Equilibrium Model of VTSA Processes for Sorbents Screening Applied to CO2 Capture from Diluted Sources
Sign Up to like & getrecommendations! Published in 2022 at "Industrial & Engineering Chemistry Research"
DOI: 10.1021/acs.iecr.2c01695
Abstract: The large design space of the sorbents’ structure and the associated capability of tailoring properties to match process requirements make adsorption-based technologies suitable candidates for improved CO2 capture processes. This is particularly of interest in… read more here.
Keywords: co2 capture; rate based; equilibrium model; model ... See more keywords
Test Protocol Optimization of the Heart Rate-based Lactate Minimum Test.
Sign Up to like & getrecommendations! Published in 2021 at "International journal of sports medicine"
DOI: 10.1055/a-1618-5588
Abstract: The determination of the maximal lactate steady state (MLSS) requires at least two constant load tests. Therefore, different testing procedures to indirectly determine MLSS based on one single test have been developed. One such method… read more here.
Keywords: rate based; heart rate; mlss; test ... See more keywords
On the refinement of the rotation rate based Smagorinsky model using velocity field gradients
Sign Up to like & getrecommendations! Published in 2017 at "Physics of Fluids"
DOI: 10.1063/1.5008764
Abstract: In this paper, a gradient-based refinement of the rotation rate-based Smagorinsky (RoSM) subgrid scale (SGS) model is presented. The refined model satisfies the Galilean invariance condition generally, without any assumptions. The suggested model retains the… read more here.
Keywords: rotation rate; refinement rotation; model; smagorinsky model ... See more keywords
Rate-Based Cell Range Expansion for Downlink Massive MIMO Heterogeneous Networks
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2017.2773072
Abstract: This letter presents a rate-based user association using cell range expansion for downlink heterogeneous networks, where macro base stations (BSs) use massive multiple-input-multiple-output systems, and they are overlaid with dense small cells. Using stochastic geometry,… read more here.
Keywords: cell range; heterogeneous networks; expansion downlink; rate ... See more keywords
A Cooperative Rate-Based Model Predictive Framework for Flexibility Management of DERs
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Energy Conversion"
DOI: 10.1109/tec.2021.3105612
Abstract: Collective self-consumption is driving the transformation of distribution networks towards independently controllable community microgrids. The objective of this work is to utilize limited heterogeneous flexibilities in the system to perform grid-support functions to evade additional… read more here.
Keywords: rate based; based model; cooperative rate; model ... See more keywords
A TTFS-based energy and utilization efficient neuromorphic CNN accelerator
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2023.1121592
Abstract: Spiking neural networks (SNNs), which are a form of neuromorphic, brain-inspired AI, have the potential to be a power-efficient alternative to artificial neural networks (ANNs). Spikes that occur in SNN systems, also known as activations,… read more here.
Keywords: energy; ttfs based; rate based; based snns ... See more keywords