Results 41 to 50 of about 163,780 (214)
Scientific Reports, 2020 The demand for high-capacity lithium-ion batteries (LIB) in electric vehicles has increased. In this study, optimization to maximize the specific energy density of a cell is conducted using the LIB electrochemical model and sequential approximate ...
Ji-San Kim +3 more
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Sequential Gaussian Processes for Online Learning of Nonstationary Functions
, 2019 Many machine learning problems can be framed in the context of estimating functions, and often these are time-dependent functions that are estimated in real-time as observations arrive.
Dumitrascu, Bianca +3 more
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FEBS Letters, EarlyView.Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho +3 more
wiley +1 more source
IEEE AccessPortfolio optimization is a primary component of the decision-making process in finance, aiming to tactfully allocate assets to achieve optimal returns while considering various constraints.
Chansreynich Huot +3 more
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Nihon Kikai Gakkai ronbunshu, 2015 In hybrid electric vehicles (HEVs), an internal combustion engine (ICE) and electric motors (EMs) are equipped for improving the fuel consumption as well as the exhaust emissions. To improve them simultaneously, a well-organized energy management system (
Marina SAIKYO +3 more
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A comparison of general-purpose optimization algorithms forfinding optimal approximate experimental designs [PDF]
, 2019 Several common general purpose optimization algorithms are compared for findingA- and D-optimal designs for different types of statistical models of varying complexity,including high dimensional models with five and more factors.
Garcia-Garcia, Jose Carlos +4 more
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Sparse Polynomial Chaos Expansions via Compressed Sensing and D-optimal Design
, 2017 In the field of uncertainty quantification, sparse polynomial chaos (PC) expansions are commonly used by researchers for a variety of purposes, such as surrogate modeling. Ideas from compressed sensing may be employed to exploit this sparsity in order to
Diaz, Paul +2 more
core +1 more source
Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation
FEBS Letters, EarlyView.Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe +3 more
wiley +1 more source
Multi-objective optimization in plastic injection molding with injection and packing time
Nihon Kikai Gakkai ronbunshu, 2015 Plastic injection molding (PIM) is one of the most important manufacturing processes for producing plastic products. The process parameters in the PIM, such as mold temperature, melt temperature, and injection pressure affect the product quality and the ...
Shinji NATSUME, Satoshi KITAYAMA
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Optimization Monte Carlo: Efficient and Embarrassingly Parallel Likelihood-Free Inference [PDF]
, 2015 We describe an embarrassingly parallel, anytime Monte Carlo method for likelihood-free models. The algorithm starts with the view that the stochasticity of the pseudo-samples generated by the simulator can be controlled externally by a vector of random ...
Meeds, Edward, Welling, Max
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