Results 111 to 120 of about 934,913 (311)

DЕTERMINATION OF THE DRUM MILLS’ ENGINE CAPACITY BY USING NEURAL NETWORK WITH SUBORDINATE INPUT PARAMETERS [PDF]

open access: yesFiabilitate şi Durabilitate, 2012
A successful experiment has been done to train the neural network to determine the drum mills’ engine capacity by using the program „QwikNet 2.23”. As a result we get a trained neural network with a maximum error of 1.00619.10-5 which can be used for ...
Teodora HRISTOVA, Ivan MININ
doaj  

Method of formulating input parameters of neural network for diagnosing gas-turbine engines

open access: yesAviation, 2013
A method of obtaining test and training data sets has been developed. These sets are intended for training a static neural network to recognise individual and double defects in the air-gas path units of a gas-turbine engine.
Mykola Kulyk   +3 more
doaj   +1 more source

Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies

open access: yesFEBS Open Bio, EarlyView.
We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli   +8 more
wiley   +1 more source

DЕTERMINATION OF THE DRUM MILLS’ ENGINE CAPACITY BYUSING NEURAL NETWORK WITH SUBORDINATE INPUT PARAMETERS [PDF]

open access: yesFiabilitate şi Durabilitate, 2013
A successful experiment has been done to train the neural network to determine the drum mills’engine capacity by using the program „QwikNet 2.23”. As a result we get a trained neural network with amaximum error of 1.00619.10-5 which can be used for ...
Teodora HRISTOVA, Ivan MININ
doaj  

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

open access: yesFEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill   +4 more
wiley   +1 more source

Input parameters disc model. [PDF]

open access: yes, 2018
Biochemical input parameters, for the IVD model [22]. The biochemical parameters are only used during the initial simulation of the disc adaptation. Thereafter, the mechanical stimulus determines per integration point what the content is.
Marc van Rijsbergen (5702723)   +9 more
core   +1 more source

Large‐scale bidirectional arrayed genetic screens identify OXR1 and EMC4 as modifiers of αSynuclein aggregation

open access: yesFEBS Open Bio, EarlyView.
Activation of the mitochondrial protein OXR1 increases pSyn129 αSynuclein aggregation by lowering ATP levels and altering mitochondrial membrane potential, particularly in response to MSA‐derived fibrils. In contrast, ablation of the ER protein EMC4 enhances autophagic flux and lysosomal clearance, broadly reducing α‐synuclein aggregates.
Sandesh Neupane   +11 more
wiley   +1 more source

The Sensitivity of the Input Impedance Parameters of Track Circuits to Changes in the Parameters of the Track

open access: yesAdvances in Electrical and Electronic Engineering, 2017
This paper deals with the sensitivity of the input impedance of an open track circuit in the event that the parameters of the track are changed. Weather conditions and the state of pollution are the most common reasons for parameter changes.
Lubomir Ivanek   +3 more
doaj   +1 more source

Predicting the Optimal Input Parameters for the Desired Print Quality Using Machine Learning. [PDF]

open access: yesMicromachines (Basel), 2022
Ratnavel R   +5 more
europepmc   +1 more source

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