Results 61 to 70 of about 34,748 (264)
Object scale selection of hierarchical image segmentation with deep seeds
IET Image Processing, 2021 Hierarchical image segmentation is a prevalent technique in the literature for improving segmentation quality, where the segmentation result needs to be searched at different scales of the hierarchy to identify objects represented from various scales. In
Zaid Al‐Huda +3 more
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FEBS Letters, EarlyView.Plasma membranes contain dynamic nanoscale domains that organize lipids and receptors. Because viruses operate at similar scales, this architecture shapes early infection steps, including attachment, receptor engagement, and entry. Using influenza A virus and HIV‐1 as examples, we highlight how receptor nanoclusters, multivalent glycan interactions ...
Jan Schlegel, Christian Sieben
wiley +1 more source
Interval optimization‐based scheduling of interlinked power, gas, heat, and hydrogen systems
IET Renewable Power Generation, 2021 The combined heat and power (CHP) plant is one of the emerging technologies of gas‐fired units, which plays an important role in reducing environmental pollutants and delivering high energy efficiency.
Nima Nasiri +6 more
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FEBS Letters, EarlyView.Embryo‐like structures (stembryos) are an innovative tool, but they are hindered by experimental variability and limited developmental potential. DNA methylation is crucial for mammalian development, but its status in stembryo models is poorly characterized.
Sara Canil +4 more
wiley +1 more source
Simulation-based fitness landscape analysis and optimisation of complex problems
Technological and Economic Development of Economy, 2015 Widespread hard optimisation problems in economics and logistics are characterised by large dimensions, uncertainty and nonlinearity and require more powerful methods of stochastic optimisation that traditional ones. Simulation optimisation is a powerful
Galina Merkuryeva, Vitaly Bolshakov
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Tactics for improving computational performance of criticality analysis in state estimation
IET Generation, Transmission & Distribution, 2021 Power system state estimation is a needful tool for providing reliable data on the system operating conditions. As such, state estimation requires adequate data redundancy levels, which can be expressed in terms of the degrees of criticalities associated
Vinícius B. Braga Flôr +3 more
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FEBS Letters, EarlyView.The physical dimensions and shape of bacterial cells define the surface area available to acquire nutrients and the volume available for synthesizing proteins and DNA. Here, we use computational systems biology to decode the importance of cell geometry as a major determinant of prokaryotic phenotype, including growth rate and metabolic efficiency. This
Ross P. Carlson +6 more
wiley +1 more source
Convex model predictive control for collision avoidance
IET Control Theory & Applications, 2021 This manuscript proposes a model predictive control for collision avoidance for the regulation problem of deterministic linear systems, which provides a priori guarantees of strong system theoretic properties, such as positive invariance and asymptotic ...
Saša V. Raković +4 more
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Modelling stem cell differentiation related processes—A practical overview for biologists
FEBS Letters, EarlyView.Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
Ain Shams Engineering Journal, 2020 The growth of demand, the need for economic efficiency and optimal utilisation of electric power networks and the high cost of construction of new power networks result in inevitable challenges, such as overloading and excessive power transfer along ...
Ahmad AL Ahmad, Reza Sirjani
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