Results 91 to 100 of about 28,098 (306)

Source Coding for a Wiener Process

open access: yes2025 23rd International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)
We develop a novel source coding strategy for sampling and monitoring of a Wiener process. For the encoding process, we employ a four level ``quantization'' scheme, which employs monotone function thresholds as opposed to fixed constant thresholds.
Sahan Liyanaarachchi   +2 more
openaire   +2 more sources

Enhancing Atomic‐Resolution in Electron Microscopy: A Deep Learning Denoiser Operating in the Frequency Domain

open access: yesAdvanced Intelligent Systems, EarlyView.
The newly developed AI‐automated Fast Fourier Transform denoising algorithm surpasses conventional real‐space methods by revealing even light atoms otherwise hidden in noisy backgrounds. Atomic resolution electron microscopy has become an essential tool for many scientific fields, when direct visualization of atomic arrangements and defects is needed ...
Ivan Pinto‐Huguet   +8 more
wiley   +1 more source

Multiple Disorder Problems for Wiener and Compound Poisson Processes With Exponential Jumps [PDF]

open access: yes
The multiple disorder problem consists of finding a sequence of stopping times which are as close as possible to the (unknown) times of "disorder" when the distribution of an observed process changes its probability characteristics.
Pavel Gapeev
core  

Lidar‐Based Object Tracking of Traffic Participants with Sensor Nodes in Existing Urban Infrastructure

open access: yesAdvanced Intelligent Systems, EarlyView.
This paper presents a lidar‐based sensor node design and a rule‐based state observer for edge‐based traffic participant tracking. Unlike other state‐of‐the‐art methods, this state observer enables real‐time, CPU‐only edge processing without relying on machine learning approaches.
Simon Schäfer   +2 more
wiley   +1 more source

Minimal invariant functions of the space-time Wiener process

open access: yes, 1977
Minimal invariant functions of the space-time Wiener process are obtained.
Kai Yuen Woo
core   +1 more source

Integral Transforms on a Function Space with Change of Scales Using Multivariate Normal Distributions

open access: yesJournal of Function Spaces, 2016
Using simple formulas for generalized conditional Wiener integrals on a function space which is an analogue of Wiener space, we evaluate two generalized analytic conditional Wiener integrals of a generalized cylinder function which is useful in Feynman ...
Dong Hyun Cho
doaj   +1 more source

“It Is Much Safer to Be Sparse than Connected”: Safe Control of Robotic Swarm Density Dynamics with PDE Optimization with State Constraints

open access: yesAdvanced Intelligent Systems, EarlyView.
This paper proposes a novel control framework to ensure safety of a robotic swarm. A feedback optimization controller is capable of driving the swarm toward a target density while keeping risk‐zone exposure below a safety threshold. Theory and experiments show how safety is more effectively achieved for sparsely connected swarms.
Longchen Niu, Gennaro Notomista
wiley   +1 more source

Wiener Process In Mathematica

open access: yes, 2013
The Wiener process (Brownian motion) is commonly applied, nowadays, in several fields of science, especially in finance and financial mathematics. We use an elementary construction of the Wiener process, based on a proper sequence of simple symmetric ...
Seijas Macias, José Antonio
core  

ParamNet: A Physics‐Guided Deep Learning Framework for Intelligent Self‐Inversion of Vacuum Optical Levitation Systems

open access: yesAdvanced Intelligent Systems, EarlyView.
A physics‐guided deep learning framework, ParamNet, is introduced for the intelligent self‐inversion of vacuum optical tweezers. By fuzing dual‐branch time–frequency features with physical dynamical constraints, it achieves high‐accuracy calibration of trap parameters from short‐window, low‐frequency trajectories, outperforming traditional methods ...
Qi Zheng   +4 more
wiley   +1 more source

High‐elevation endemic plants predicted to lose habitat from changing climate in Washington State

open access: yesAmerican Journal of Botany, EarlyView.
Abstract Premise High‐elevation plants face unique challenges from potential climate change impacts that will likely require upslope migration into increasingly smaller suitable habitat. This situation is particularly acute for endemic species that by definition occupy small geographic ranges.
Nicholas L. Gjording   +4 more
wiley   +1 more source

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