Veni Vidi Vici, A Three-Phase Scenario For Parameter Space Analysis in Image Analysis and Visualization [PDF]
Automatic analysis of the enormous sets of images is a critical task in life sciences. This faces many challenges such as: algorithms are highly parameterized, significant human input is intertwined, and lacking a standard meta-visualization approach ...
El-Dosuky, M. A.
core
Statistical Analysis of Input Parameters Impact on the Modelling of Underground Structures
The behaviour of a geomechanical model and its final results are strongly affected by the input parameters. As the inherent variability of rock mass is difficult to model, engineers are frequently forced to face the question “Which input values should be
M. Hilar, J. Pruška
doaj
Photometric Stellar Parameters for 195,478 Kepler Input Catalog Stars
The stellar atmospheric parameters and physical properties of stars in the Kepler Input Catalog (KIC) are of great significance for the study of exoplanets, stellar activity, and asteroseismology.
Bowen Zhang +11 more
doaj +1 more source
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
New Uses for Sensitivity Analysis: How Different Movement Tasks Effect Limb Model Parameter Sensitivity [PDF]
Original results for a newly developed eight-order nonlinear limb antagonistic muscle model of elbow flexion and extension are presented. A wider variety of sensitivity analysis techniques are used and a systematic protocol is established that shows how ...
Stark, L., Winters, J. M.
core +1 more source
Pancreatic sensory neurons innervating healthy and PDAC tissue were retrogradely labeled and profiled by single‐cell RNA sequencing. Tumor‐associated innervation showed a dominant neurofilament‐positive subtype, altered mitochondrial gene signatures, and reduced non‐peptidergic neurons.
Elena Genova +14 more
wiley +1 more source
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
Proposed input for determining longitudinal aerodynamic parameters for the space shuttle [PDF]
A control input form to improve the identification of longitudinal aerodynamic parameters for the Space Shuttle, especially at low Mach numbers, has been proposed.
Suit, W. T.
core +1 more source
Estimation of the Distribution of Random Parameters in Discrete Time Abstract Parabolic Systems with Unbounded Input and Output: Approximation and Convergence [PDF]
A finite dimensional abstract approximation and convergence theory is developed for estimation of the distribution of random parameters in infinite dimensional discrete time linear systems with dynamics described by regularly dissipative operators and ...
Luczak, Susan E. +2 more
core +1 more source
Sparticle Spectrum Constraints
The supersymmetric standard model with supergravity-inspired soft breaking terms predicts a rich pectrum of sparticles to be discovered at the SSC, LHC and NLC.
A. Chamseddine +35 more
core +2 more sources

