Results 51 to 60 of about 564 (258)
Limit properties for ratios of order statistics from exponentials
In this paper, we study the limit properties of the ratio for order statistics based on samples from an exponential distribution and obtain the expression of the density functions, the existence of the moments, the strong law of large numbers for R n i j
Yong Zhang, Xue Ding
doaj +1 more source
Modeling Light‐Induced Synaptic Behavior and Visual Memory of Azopolymeric Compounds
In the framework of neuromorphic hardware it is essential to predict the evolution of the internal state of the devices mimicking synaptic functionalities to perform in‐silico modeling of specific computational tasks. Here, we provide a rate‐balance equation model to describe the synaptic‐like response of light‐actuated azopolymeric compounds and ...
Mateo Rosero‐Realpe +3 more
wiley +1 more source
We assume that X k = ∑ i = − ∞ + ∞ a i ξ i + k $X_{k}=\sum_{i=-\infty}^{+\infty}a_{i}\xi_{i+k}$ is a moving average process and { ξ i , − ∞ < i < + ∞ } $\{\xi_{i},-\infty ...
Yayun Zhang, Qunying Wu
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On the Multivariate Law of the Iterated Logarithm
A Hilbert space law of the iterated logarithm is proved which generalizes Kolmogorov's law for bounded random variables and which generalizes results of Teicher for unbounded random variables. The result for identically distributed random vectors is a consequence.
openaire +2 more sources
Intelligent Sky Guardians (InSkyGuard) is introduced as a four‐drone swarm that autonomously detects, tracks, and safely captures rogue drones using a coordinated net system. Computer vision and leader–follower control architecture enable synchronized enclosure, while integrated failsafes enhance system reliability. Validated through closed‐environment
Joshua Hastings +6 more
wiley +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 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
N‐Doping Activated Presodiation Enhances Sodium‐Ion Provision in Hard Carbon Anodes
Introducing pyrrolic‐N sites enables efficient presodiation and stronger PF6− capture, thus pre ‐ forming a robust inorganic‐rich SEI layer in hard carbon anodes. ABSTRACT Hard carbon (HC) is considered the most promising anode material for commercial sodium‐ion batteries (SIBs), yet it still faces critical challenges such as low initial Coulombic ...
Hua Lin +8 more
wiley +1 more source
A Data‐Driven Inverse Design Methodology for Magnetic Soft Millirobots Navigating in Confined Spaces
A data‐efficient inverse design framework automates the optimization of magnetic soft millirobots for confined‐space navigation. Integrating a physics‐based Cosserat rod model with Bayesian optimization efficiently identifies high‐performance geometries.
Ziyu Ren +5 more
wiley +1 more source
Laws of the iterated logarithm for iterated perturbed random walks
Let ${({\xi _{k}},{\eta _{k}})_{k\ge 1}}$ be independent identically distributed random vectors with arbitrarily dependent positive components and ${T_{k}}:={\xi _{1}}+\cdots +{\xi _{k-1}}+{\eta _{k}}$ for $k\in \mathbb{N}$. The random sequence ${({T_{k}}
Oksana Braganets
doaj +1 more source

