Results 41 to 50 of about 3,084 (253)
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang +2 more
wiley +1 more source
Regularized trace formula for higher order differential operators with unbounded coefficients
In this work we obtain the regularized trace formula for an even-order differential operator with unbounded operator coefficient.
Erdogan Sen +2 more
doaj
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai +3 more
wiley +1 more source
On-shell matrix elements of the EMT trace in gauge theories and heavy quark masses
We present a novel diagrammatic proof of the identitybetween the forward matrix element of the energy-momentum-tensor (EMT) trace operator over a single particle’s on-shell state and its perturbative pole mass to any loop orders in perturbative gauge ...
Long Chen, Zhe Li, Marco Niggetiedt
doaj +1 more source
Regularized traces of non-self-adjoint operators [PDF]
Let \(T\) be a semibounded selfadjoint operator with trace-class resolvent, \(\lambda _n\) the nondecreasing eigenvalues of \(T\), and \(v_n\) the corresponding orthonormal eigenvectors. Next, let \(P\) be a bounded operator, and let \(\mu _n\) be the eigenvalues of \(T+P\) indexed counting algebraic multiplicities and in such a way that the \(\Re \mu ...
openaire +2 more sources
This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley +1 more source
The purpose of writing this article is to show some spectral properties of the Bessel operator equation, with spectral parameter-dependent boundary condition.
Aslanova Nigar
doaj
Predicting and correcting the influence of boundary conditions in regional inverse analyses [PDF]
Regional inverse analyses of atmospheric trace gas observations quantify gridded two-dimensional surface fluxes by fitting the observations to simulated concentrations from a transport model, usually by Bayesian optimization regularized by a gridded ...
H. Nesser +13 more
doaj +1 more source
AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling
This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi +4 more
wiley +1 more source

