Results 61 to 70 of about 879,596 (317)

A higher prediction accuracy–based alpha–beta filter algorithm using the feedforward artificial neural network

open access: yesCAAI Transactions on Intelligence Technology, 2023
The alpha–beta filter algorithm has been widely researched for various applications, for example, navigation and target tracking systems. To improve the dynamic performance of the alpha–beta filter algorithm, a new prediction learning model is proposed ...
Junaid Khan, Eunkyu Lee, Kyungsup Kim
doaj   +1 more source

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

open access: yesFEBS 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

open access: yesFEBS 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

Modelling stem cell differentiation related processes—A practical overview for biologists

open access: yesFEBS 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

Improving the Accuracy of Industrial Robots by offline Compensation of Joints Errors [PDF]

open access: yes, 2012
The use of industrial robots in many fields of industry like prototyping, pre-machining and end milling is limited because of their poor accuracy. Robot joints are mainly responsible for this poor accuracy.
BEAREE, Richard   +14 more
core   +1 more source

Real-time Prediction of 1H and 13C Chemical Shifts with DFT accuracy using a 3D Graph Neural Network [PDF]

open access: yes, 2021
The computational prediction of NMR chemical shifts using quantum mechanical calculations is now commonplace in aiding organic structural assignment since spectra can be computed for several candidate structures and then compared with experimental values
Robert, Paton   +4 more
core   +1 more source

Why and How to Switch to Genomic Selection: Lessons From Plant and Animal Breeding Experience

open access: yesFrontiers in Genetics, 2021
The present study is a transversal analysis of the interest in genomic selection for plant and animal species. It focuses on the arguments that may convince breeders to switch to genomic selection.
R2D2 Consortium   +4 more
doaj   +1 more source

Randomizing Outputs to Increase Prediction Accuracy [PDF]

open access: yesMachine Learning, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Prediction Accuracy of Link-Quality Estimators [PDF]

open access: yes, 2011
The accuracy of link-quality estimators (LQE) is mission-critical in many application scenarios in wireless sensor networks (WSN), since the link-quality metric is used for routing decisions or neighborhood formation. Link-quality estimation must offer validity for different timescales.
Christian Renner   +3 more
openaire   +1 more source

Comparing Predictive Accuracy [PDF]

open access: yesJournal of Business & Economic Statistics, 1995
Using research designs patterned after randomized experiments, many recent economic studies examine outcome measures for treatment groups and comparison groups that are not randomly assigned. By using variation in explanatory variables generated by changes in state laws, government draft mechanisms, or other means, these studies obtain variation that ...
Mariano, Roberto S., Diebold, Francis X.
openaire   +3 more sources

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