Results 111 to 120 of about 5,063,949 (192)

An efficient track management scheme for the Gaussian-mixture probability hypothesis density tracker

open access: yes, 2006
The Gaussian Mixture Probability Hypothesis Density (GM-PHD) filter is a closed-form solution for the probability hypothesis density (PHD) filter, which was proposed for jointly estimating the time-varying number of targets and their states from a ...
Clark, Daniel E.   +5 more
core   +1 more source

Enhancing creative writing with robot–LLM integration: The interplay of embodiment, AI creativity and user engagement

open access: yesBritish Journal of Educational Technology, Volume 57, Issue 5, Page 1320-1347, September 2026.
Abstract This study explores the impact of robot–LLM (Large Language Model) integration on collaborative creative writing, focusing on how embodiment and AI creativity influence various aspects of creative output. A total of 150 undergraduate students participated in a structured experimental design with five collaboration conditions: Human–Human (HH),
Yuqing Liu, Yao Song
wiley   +1 more source

Exercise or Fasting in Individuals With Type 2 Diabetes Receiving Once‐Weekly Basal Insulin Icodec

open access: yesDiabetes, Obesity and Metabolism, Volume 28, Issue 9, Page 8523-8532, September 2026.
ABSTRACT Aims To investigate glucose levels and hypoglycaemia risk during exercise or fasting in adults with type 2 diabetes (T2D) treated with once‐weekly basal insulin icodec. Materials and Methods Thirty basal insulin‐treated, physically active individuals with T2D (18–75 years, glycated haemoglobin ≤ 75 mmol/mol, peak oxygen uptake > 20 mL/kg/min ...
Thomas R. Pieber   +10 more
wiley   +1 more source

Multitarget tracking using probability hypothesis density smoothing

open access: yes, 2011
In general, for multitarget problems where the number of targets and their states are time varying, the optimal Bayesian multitarget tracking is computationally demanding.
Punithakumar, K.   +9 more
core   +1 more source

Hierarchical Modelling of Aquatic Species Distributions

open access: yesGlobal Ecology and Biogeography, Volume 35, Issue 9, September 2026.
ABSTRACT Aim Species Distribution Models (SDMs) have traditionally been developed in a terrestrial context, and their application to aquatic ecosystems presents unique challenges. These include predicting species distributions across spatially constrained environments and incorporating environmental drivers that operate across nested spatial scales. We
Georgios Vagenas   +2 more
wiley   +1 more source

Expert Asymmetry: Evidence From Securities Litigation

open access: yesJournal of Empirical Legal Studies, Volume 23, Issue 3, Page 293-326, September 2026.
ABSTRACT Modern litigation often involves two separate, extra‐legal features: (1) contingency fee arrangements with the plaintiff‐side attorney, and (2) a “battle of the experts” where the outcome of the case rests on conflicting expert witness testimony.
Adam Callister   +2 more
wiley   +1 more source

Modified Gaussian Mixture Probability Hypothesis Density Filtering using Clutter Density Estimation for Multiple Target Tracking

open access: yesJournal of Aerospace Technology and Management
Gaussian mixture probability hypothesis density (GM-PHD) filtering often assumes a uniform distribution of clutter in the observation area. However, in practice, clutter is often unknown and non-uniform, necessitating accurate estimation of its ...
Lifan Sun, Wenhui Xue, Dan Gao
doaj  

The Organizational Dynamics of Bureaucratic Resistance to Undemocratic Pressures: A Conjoint Experiment in Brazil

open access: yesPublic Administration Review, Volume 86, Issue 5, Page 1359-1373, September/October 2026.
ABSTRACT Democratic backsliding raises new challenges for bureaucracies as politicians undermine democratic institutions and the rule of law. Although bureaucracies can play a central safeguarding role, little is known about the organizational conditions that foster resistance to undemocratic pressure.
Mariana Costa Silveira   +5 more
wiley   +1 more source

Group target tracking with the gaussian mixture probability hypothesis density filter

open access: yes, 2007
The Probability Hypothesis Density (PHD) filter was originally devised to address non-conventional tracking problems such as group target processing, tracking in high target density, tracking closely spaced targets and detecting targets of interest in a ...
Godsill, S, Clark, D, ,
core  

Probability hypothesis density filter using determinantal point processes for multi object tracking

open access: yes, 2019
Multi Object Tracking (MOT) has many applications such as video surveillance and event recognition among others. In this paper, we present a novel multi object tracking method using the Probability Density Hypothesis (PHD) filter and Determinantal Point ...
Hernández, Sergio   +2 more
core  

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