Results 81 to 90 of about 1,309 (169)

A Combined Colon Organoid‐Sensory Neuron Model Reveals Epithelial Contribution to Moringin Efficacy Against Painful Inflammatory Bowel Disease

open access: yesPhytotherapy Research, Volume 40, Issue 6, Page 3250-3266, June 2026.
Experimental workflow and main findings of the study. ABSTRACT Visceral pain is a major symptom of inflammatory bowel diseases (IBDs), requiring effective treatment strategies. Gut epithelium, beyond maintaining barrier integrity and microbiota homeostasis, modulates neurosensorial circuitries, influencing visceral sensitivity.
Francesco Margiotta   +7 more
wiley   +1 more source

Two-layer particle filter for multiple target detection and tracking

open access: yes, 2012
This paper deals with the detection and tracking of an unknown number of targets using a Bayesian hierarchical model with target labels. To approximate the posterior probability density function, we develop a two-layer particle filter.
Morelande, Mark R.   +2 more
core  

On Predicting Vulnerability Severity Using In‐Context Learning: An Industrial Case Study

open access: yesJournal of Software: Evolution and Process, Volume 38, Issue 6, June 2026.
ABSTRACT Modern software systems require earlier and more scalable vulnerability severity assessment to reduce exposure to high‐impact security flaws. Security analysts typically assign CVSS scores, but this manual triage does not scale with the growth of disclosed vulnerabilities and often depends on cloud LLM services that raise confidentiality ...
Daniel Rodriguez‐Cardenas   +10 more
wiley   +1 more source

Tracking sperm whales using passive acoustics and particle filters

open access: yes, 2011
Passive acoustics provides a powerful tool for marine mammal research and mitigation of the risk posed by high energy anthropogenic acoustic activities through monitoring animal positions.
Hadley, Mark Lyndon, Hadley, M.
core  

Tracking the soccer ball using multiple fixed cameras

open access: yes, 2008
This paper demonstrates innovative techniques for estimating the trajectory of a soccer ball from multiple fixed cameras. Since the ball is nearly always moving and frequently occluded, its size and shape appearance varies over time and between cameras ...
Orwell, James   +10 more
core   +1 more source

Selective Convergence of Followers to Multiple Leaders With Repulsion and Cohesion on Riemannian Manifolds

open access: yesStudies in Applied Mathematics, Volume 156, Issue 6, June 2026.
ABSTRACT We study the long‐term dynamics of followers that selectively follow one of multiple leaders on Riemannian manifolds, where the leaders interact through repulsive forces while remaining cohesively bounded. We propose a multileader–follower multiagent system defined on Riemannian manifolds. In our model, each follower chooses exactly one leader
Hyunjin Ahn
wiley   +1 more source

Cubature Information SMC-PHD for Multi-Target Tracking

open access: yesSensors, 2016
In multi-target tracking, the key problem lies in estimating the number and states of individual targets, in which the challenge is the time-varying multi-target numbers and states.
Zhe Liu, Zulin Wang, Mai Xu
doaj   +1 more source

Distributed Data Association for Multitarget Tracking-A Mathematical Perspective

open access: yes, 2012
Target tracking is the technique of maintaining state estimates of one or more targets over a period of time. Multitarget tracking is concerned with the state estimation of an unknown number of moving targets.
Kalpana, B., Sangeetha, R.
core   +1 more source

Local search heuristics for multi-index assignment problems with decomposable costs. [PDF]

open access: yes
The multi-index assignment problem (MIAP) with decomposable costs is a natural generalization of the well-known assignment problem. Applications of the MIAP arise for instance in the field of multi-target multi-sensor tracking.
Bandelt, H, Maas, A, Spieksma, Frederik
core  

Data Association Algorithms for Multisensor-Multitarget Tracking [PDF]

open access: yes, 2020
In this thesis, the data association problem in multisensor-multitarget tracking is explored. Algorithms that improve data association performance by eliminating sensor biases or utilizing available domain knowledge are proposed.
Ge, Tongyu
core  

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