Results 111 to 120 of about 893,168 (289)
Should subjective probabilities be sharp?
There has been much recent interest in imprecise probabilities, models of belief that allow unsharp or fuzzy credence. There have also been some influential criticisms of this position.
Steele, Katie Siobhan, Bradley, Seamus
core +1 more source
The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley +1 more source
Subjective probabilities are important determinants of economic choice behaviour, and their elicitation is not trivial. Different methods are available in the literature. This paper compares three of them using an economic experiment with farmers, other
Claudia Magnapera +3 more
doaj +1 more source
Decision under Uncertainty : the Classical Models [PDF]
This chapiter of a collective book is dedicated to classical decision models under uncertainty, i.e. under situations where events do not have "objective" probabilities with which the Decision Marker agrees. We present successively the two main theories,
Michèle Cohen +2 more
core
Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne +5 more
wiley +1 more source
Eliciting probabilistic expectations with visual aids in developing countries : how sensitive are answers to variations in elicitation design ? [PDF]
Eliciting subjective probability distributions in developing countries is often based on visual aids such as beans to represent probabilities and intervals on a sheet of paper to represent the support.
Gine, Xavier +2 more
core
This review highlights recent advances in automated iPSC culture systems integrating robotics, advanced imaging, artificial intelligence, and process control. These technologies improve reproducibility, scalability, and quality in cell expansion, differentiation, and real‐time monitoring, while emerging AI‐enabled and closed‐loop approaches offer new ...
Hyoryong Lee +3 more
wiley +1 more source
Automatic left ventricular segmentation in echocardiography is critical for cardiac function assessment but remains challenging due to limited crossdomain feature interaction. This paper proposes SFMFNet, a Spatial‐Frequency Multi‐Scale Fusion Network that integrates multiscale convolution, wavelet transform, and Fourier transform.
Dang Li +3 more
wiley +1 more source
A cyber–physical system prospect theoretic game through a VANET lens
In this paper, the problem of attack mitigation in an intelligent transportation network or vehicular network is considered as a game. The player’s perception of uncertainty and decision making is studied under a subjective prospect theoretic (PT) model ...
Ahmed A. Alabdel Abass
doaj +1 more source
Six‐DoF Strawberry Harvesting Pose Selection and Adaptive Obstacle Clearing in Occluded Environments
An occlusion‐aware 6‐DoF harvesting strategy integrates γ‐angle pose selection, ripeness‐weighted risk evaluation, and adaptive obstacle clearing. The approach enables collision‐free grasping orientation selection and improves strawberry harvesting reliability under complex occlusion, achieving higher success rates and reduced fruit damage. In complex,
Tianxiao Zhu +4 more
wiley +1 more source

