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]
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
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
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]
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
Explicit Expressions for a Mean Nanofibre Diameter Using Input Parameters in the Process of Electrospinning. [PDF]
Filip P.
europepmc +1 more source
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]
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
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
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]
Ratnavel R +5 more
europepmc +1 more source

