Computational modeling of Monte Carlo-enhanced PINNs for fractional order differential models with memory effects. [PDF]
Jan H +5 more
europepmc +1 more source
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
Real-world decision support in hospitality using pessimistic multi-granulation roughness of cubic intuitionistic fuzzy soft sets. [PDF]
Bibi A +5 more
europepmc +1 more source
Model-error estimation and model adaptivity for hyperbolic moment equations in one dimension. [PDF]
Verbiest R, Koellermeier J.
europepmc +1 more source
Kolmogorov-Smirnov-type test for dependently double-truncated durations: A copula approach. [PDF]
Toparkus AM, Weißbach R.
europepmc +1 more source
View-Aligned Nonlocal Low-Rank Tensor Reconstruction for Snapshot Compressive Multi-View Spectral Imaging System. [PDF]
Yin X, Su L, Wang Y, Yuan Y.
europepmc +1 more source
From Expected Goals to Scoring at Least Once: An Event-Specific Summary of Aggregated Bernoulli Risk. [PDF]
Górecki T.
europepmc +1 more source
Kinetic Characterization of Barley Straw Carbonization Using the Distributed Activation Energy Model (DAEM). [PDF]
Pallarés Ranz J +3 more
europepmc +1 more source
Related searches:
Approximate Order Dependency Discovery
2021 IEEE 37th International Conference on Data Engineering (ICDE), 2021Lexicographical order dependencies (ODs) specify orders between list of attributes, and are proven useful in optimizing SQL queries with order by clauses. To find hidden ODs from dirty data in practice, in this paper we make a first effort to study the approximate OD discovery problem, aiming at automatically discovering ODs that hold on the data with ...
Yifeng Jin +3 more
openaire +2 more sources
A note on the “order of approximation”
International Journal of Solids and Structures, 1985In this very short note, a procedure is given for finding the nodal order of error for some finite element models, and one proves the superconvergence of one-dimensional problems of Pin Tong kind.
Taylor, R. L., Zienkiewicz, O. C.
openaire +2 more sources

