Results 81 to 90 of about 40,195 (268)
Advanced Intelligent Discovery, EarlyView.Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Reverses of the Jensen-Type Inequalities for Signed Measures
Abstract and Applied Analysis, 2014 In this paper we derive refinements of the Jensen type inequalities in the case of real Stieltjes measure dλ, not necessarily positive, which are generalizations of Jensen's inequality and its reverses for positive measures.
Rozarija Jakšić +2 more
doaj +1 more source
Conic geometric optimisation on the manifold of positive definite matrices
, 2014 We develop \emph{geometric optimisation} on the manifold of Hermitian positive definite (HPD) matrices. In particular, we consider optimising two types of cost functions: (i) geodesically convex (g-convex); and (ii) log-nonexpansive (LN).
Hosseini, Reshad, Sra, Suvrit
core +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Advanced Intelligent Discovery, EarlyView.Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
wiley +1 more source
The Euler and Springer numbers as moment sequences
, 2018 I study the sequences of Euler and Springer numbers from the point of view of the classical moment problem.Comment: LaTeX2e, 30 pages. Version 2 contains some small clarifications suggested by a referee. Version 3 contains new footnotes 9 and 10.
Sokal, Alan D.
core +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.A laser pointer‐guided robotic grasping method for arbitrary objects based on promptable segment anything model and force‐closure analysis is presented. Grasp generation methods based on force‐closure analysis can calculate the optimal grasps for objects through their appearances. However, the limited visual perception ability makes robots difficult to
Yan Liu +5 more
wiley +1 more source
Hadamard-Type k -Fractional Integral Inequalities for Exponentially α , h − m -Convex Functions
Journal of Mathematics, 2020 La classe des fonctions exponentiellement α , h − m -convexes a été découverte pour unifier différents types de convexités. Cet article trouve de nouvelles inégalités fractionnaires de type Hadamard de Riemann–Liouville pour cette classe généralisée de fonctions convexes.
Chahn Yong Jung +4 more
openaire +2 more sources
REWW‐ARM—Remote Wire‐Driven Mobile Robot: Design, Control, and Experimental Validation
Advanced Intelligent Systems, EarlyView.The Remote Wire‐Driven robot “REWW‐ARM” demonstrates a new concept of remote actuation that separates electronics from harsh environments while retaining closed‐loop control. Combining tendon‐sheath mechanisms with decoupled joints, it achieves efficient power transmission and autonomous locomotion, manipulation, and underwater operation, suggesting ...
Takahiro Hattori +4 more
wiley +1 more source
Bellman–Steffensen type inequalities
Journal of Inequalities and Applications, 2018 In this paper some Bellman–Steffensen type inequalities are generalized for positive measures. Using sublinearity of a class of convex functions and Jensen’s inequality, nonnormalized versions of Steffensen’s inequality are obtained.
Julije Jakšetić +2 more
doaj +1 more source