Results 81 to 90 of about 160,535 (190)
While predicting the secondary structure of RNA is vital for researching its function, determining RNA secondary structure is challenging, especially for that with pseudoknots. Typically, several excellent computational methods can be utilized to predict
Linyu Wang +14 more
doaj +1 more source
pyHIVE, a health-related image visualization and engineering system using Python
Background Imaging is one of the major biomedical technologies to investigate the status of a living object. But the biomedical image based data mining problem requires extensive knowledge across multiple disciplinaries, e.g.
Ruochi Zhang +6 more
doaj +1 more source
Aleksandr Voevoda, Kurbonmurod Bobobekov
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Calculation of stress intensity factors in an isotropic multicracked plate: Part 2: Symbolic/numeric implementation [PDF]
Analytical derivations of stress intensity factors (SIF's) of a multicracked plate can be complex and tedious. Recent advances, however, in intelligent application of symbolic computation can overcome these difficulties and provide the means to ...
Arnold, S. M. +3 more
core +1 more source
Symbolic Computations in Multibody Systems [PDF]
Symbolic formula manipulation has proven to be an efficient tool in the dynamical analysis of multibody systems. A multibody system data base is introduced and its implementation using a CAD-3D-software is shown. Starting from the data base the equations of motion are generated by a coordinate partitioning approach combined with the projection ...
openaire +2 more sources
Enhancing dynamical signatures of complex systems through symbolic computation. [PDF]
Porta A, Baumert M, Cysarz D, Wessel N.
europepmc +1 more source
In this study, we propose a computational approach that applies text mining and deep learning to conduct controversy detection on social media platforms.
Ying Li +3 more
doaj +1 more source
Research on deep learning architecture optimization method for intelligent scheduling of structural space. [PDF]
Ying W, Hui L.
europepmc +1 more source
physically interpretable residual strength prediction of corroded pipelines via symbolic Bayesian networks. [PDF]
Chen M, Zhang Y, Ye Y, Lu Y.
europepmc +1 more source

