Results 201 to 210 of about 31,109 (263)

Textile and colour defect detection using deep learning methods

open access: yesColoration Technology, EarlyView.
Abstract Recent advances in deep learning (DL) have significantly enhanced the detection of textile and colour defects. This review focuses specifically on the application of DL‐based methods for defect detection in textile and coloration processes, with an emphasis on object detection and related computer vision (CV) tasks.
Hao Cui   +2 more
wiley   +1 more source

Enhancing CBCT-based CT synthesis using planning MRI in adaptive proton therapy for head cancer: A deep learning approach. [PDF]

open access: yesJ Appl Clin Med Phys
Molina-Maza JM   +9 more
europepmc   +1 more source

The Very Idea of Seriousness

open access: yesEuropean Journal of Philosophy, EarlyView.
Abstract What norms govern aesthetic conversations? In Hansen and Adams (2024), we argue for a norm we call, following Stanley Cavell, “the hope of agreement”, along with a requirement of “seriousness”, the “discipline of accounting for one's judgments”.
Nat Hansen, Zed Adams
wiley   +1 more source

Engaging With Policymakers and Practitioners to Implement Restorative Justice in Europe: Lessons From 10 Countries in Restorative Justice: Strategies for Change

open access: yesThe Howard Journal of Crime and Justice, EarlyView.
ABSTRACT Research suggests that enabling greater participation in restorative justice can lead to strong social, health and economic benefits for people who commit offences, victims, communities and states. Yet, restorative justice remains partially implemented in Europe and many people cannot easily access services in practice, even in countries with ...
Ian D. Marder   +4 more
wiley   +1 more source

Leveraging modified ex situ tomography data for segmentation of in situ synchrotron X‐ray computed tomography

open access: yesJournal of Microscopy, EarlyView.
Abstract In situ synchrotron X‐ray computed tomography enables dynamic material studies. However, automated segmentation remains challenging due to complex imaging artefacts – like ring and cupping effects – and limited training data. We present a methodology for deep learning‐based segmentation by transforming high‐quality ex situ laboratory data to ...
Tristan Manchester   +6 more
wiley   +1 more source

Reporting Guidelines for Meta‐Analysis in Economics—Updated for AI

open access: yesJournal of Economic Surveys, EarlyView.
ABSTRACT Meta‐analysis is how science takes stock of its vast research output. The advent of increasingly capable artificial intelligence (AI) promises an unprecedented ability to identify and synthesize relevant research and its findings. In this document, the meta‐analysis of economics research network (MAER‐Net) updates existing Reporting Guidelines
Nikolai Cook   +12 more
wiley   +1 more source

Home - About - Disclaimer - Privacy