Results 111 to 120 of about 5,063,949 (192)
An efficient track management scheme for the Gaussian-mixture probability hypothesis density tracker
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
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
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
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
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
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
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
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
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
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

