Results 71 to 80 of about 12,666,425 (359)

A machine learning approach for online automated optimization of super-resolution optical microscopy

Nature Communications, 2018
Complex imaging systems like super-resolution microscopes currently require laborious parameter optimization before imaging. Here, the authors present an imaging optimization framework based on machine learning that performs simultaneous parameter ...
Audrey Durand, Theresa Wiesner, Marc-André Gardner, Louis-Émile Robitaille, Anthony Bilodeau, Christian Gagné, Paul De Koninck, Flavie Lavoie-Cardinal   +7 more
doaj   +1 more source

Accurate and reliable estimation of kinetic parameters for environmental engineering applications: A global, multi objective, Bayesian optimization approach

MethodsX, 2019
Accurate and reliable predictions of bacterial growth and metabolism from unstructured kinetic models are critical to the proper operation and design of engineered biological treatment and remediation systems. As such, parameter estimation has progressed
Derek C. Manheim, Russell L. Detwiler
doaj   +1 more source

Holistic Parameter Optimization for Software Defect Prediction

IEEE Access, 2022
A software defect prediction (SDP) model identifies the defect-prone modules. Setting appropriate parameters in an SDP model is critical because it affects the model performance.
Jaewook Lee, Jiwon Choi, Duksan Ryu, Suntae Kim   +3 more
doaj   +1 more source

An unexpected alternative viologen electron mediator site in tungsten‐containing formate dehydrogenase

FEBS Letters, EarlyView.
An unexpected alternative interaction site for ethyl viologen was identified in formate dehydrogenase 1 from Methylorubrum extorquens. Combined mutagenesis, kinetic analysis, and docking revealed that aromatic residues near an iron–sulfur cluster enable flavin mononucleotide‐independent electron transfer, offering a framework for engineering improved ...
Eleni G. Poloniataki, Yong Hwan Kim
wiley   +1 more source

Cell geometry and membrane protein crowding constrain Escherichia coli growth rate, overflow metabolism, respiration, and maintenance energy

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, Tomáš Gedeon, Mauricio Garcia Benitez, Campbell Putnam, William R. Harcombe, Radhakrishnan Mahadevan, Ashley E. Beck   +6 more
wiley   +1 more source

Search space pruning and global optimization of multiple gravity assist trajectories with deep space manoeuvres [PDF]

, 2007
This paper deals with the design of optimal multiple gravity assist trajectories with deep space manoeuvres. A pruning method which considers the sequential nature of the problem is presented.
M. Ceriotti, Becerra, Victor M., Nasuto, S. J., Nasuto, S.J., C. Bombardelli, Anderson, J., Bombardelli, C., Ceriotti, M., Anderson, James D., Becerra, V.M., Nasuto, Slawomir J., V.M. Becerra, Becerra, V. M., S.J. Nasuto, J. Anderson, Bombardelli, Claudio   +15 more
core   +1 more source

Adaptive LADRC Parameter Optimization in Magnetic Levitation

IEEE Access, 2021
In this study, an adaptive linear active disturbance rejection control is proposed to achieve steady levitation of the magnetic levitation ball. The proposed algorithm was designed and its convergence was proven via derivation.
Qinghua Ouyang, Kuangang Fan, Yahui Liu, Na Li   +3 more
doaj   +1 more source

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, Xinqi Yan, Lucas Jansen Klomp, Stefano Schivo, Janine N. Post   +4 more
wiley   +1 more source

Parameter optimization for the unimon qubit

Physical Review Research
Inductively shunted superconducting qubits, such as the unimon qubit, combine high anharmonicity with protection from low-frequency charge noise, positioning them as promising candidates for the implementation of fault-tolerant superconducting quantum ...
Rostislav Duda, Eric Hyyppä, Olli Mukkula, Vasilii Vadimov, Mikko Möttönen   +4 more
doaj   +1 more source

An Improved Parameter Extraction Optimization Algorithm for RF Devices

Micromachines
This paper proposes an improved parameter extraction optimization algorithm for radio frequency (RF) devices. The algorithm integrates parameter classification and correction, gradient-based performance handling, bias-aware updates, and group-based ...
Shengsen Yang, Zihan Xu, Kun Ren
doaj   +1 more source