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Bayesian inference of mean velocity fields and turbulence models from flow MRI

We solve a Bayesian inverse Reynolds-averaged Navier-Stokes (RANS) problem that assimilates mean f...

Reinforcement Learning for Freeway Lane-Change Regulation via Connected Vehicles

Lane change decision-making is a complex task due to intricate vehicle-vehicle and vehicle-infrast...

Thermal and RGB Images Work Better Together in Wind Turbine Damage Detection

The inspection of wind turbine blades (WTBs) is crucial for ensuring their structural integrity an...

(Blind) Users Really Do Heed Aural Telephone Scam Warnings

This paper reports on a study exploring how two groups of individuals, legally blind (n=36) and si...

Fan-Beam CT Reconstruction for Unaligned Sparse-View X-ray Baggage Dataset

Computed Tomography (CT) is a technology that reconstructs cross-sectional images using X-ray imag...

"Oh, sh*t! I actually opened the document!": An Empirical Study of the Experiences with Suspicious Emails in Virtual Reality Headsets

This paper reports on a study exploring user experiences with suspicious emails and associated war...

AR-Facilitated Safety Inspection and Fall Hazard Detection on Construction Sites

Together with industry experts, we are exploring the potential of head-mounted augmented reality t...

Exploring the Potentials and Challenges of Using Large Language Models for the Analysis of Transcriptional Regulation of Long Non-coding RNAs

Research on long non-coding RNAs (lncRNAs) has garnered significant attention due to their critica...

PMI-DT: Leveraging Digital Twins and Machine Learning for Predictive Modeling and Inspection in Manufacturing

Over the years, Digital Twin (DT) has become popular in Advanced Manufacturing (AM) due to its abi...

SYNOSIS: Image synthesis pipeline for machine vision in metal surface inspection

The use of machine learning (ML) methods for development of robust and flexible visual inspection ...

AI, Climate, and Regulation: From Data Centers to the AI Act

We live in a world that is experiencing an unprecedented boom of AI applications that increasingly...

A Thematic Framework for Analyzing Large-scale Self-reported Social Media Data on Opioid Use Disorder Treatment Using Buprenorphine Product

Background: One of the key FDA-approved medications for Opioid Use Disorder (OUD) is buprenorphine...

An Integrated Machine Learning and Deep Learning Framework for Credit Card Approval Prediction

Credit scoring is vital in the financial industry, assessing the risk of lending to credit card ap...

Multi-modal Atmospheric Sensing to Augment Wearable IMU-Based Hand Washing Detection

Hand washing is a crucial part of personal hygiene. Hand washing detection is a relevant topic for...

Machine Learning Approaches for Defect Detection in a Microwell-based Medical Device

Microfluidic devices offer numerous advantages in medical applications, including the capture of s...

External Testing of a Deep Learning Model to Estimate Biologic Age Using Chest Radiographs.

Purpose To assess the prognostic value of a deep learning-based chest radiographic age (hereafter, C...

A future role for health applications of large language models depends on regulators enforcing safety standards.

Among the rapid integration of artificial intelligence in clinical settings, large language models (...

Challenges and Proposed Additional Considerations for Medical Device Approval of Large Language Models Beyond Conventional AI.

Artificial Intelligence in Healthcare and Regulation Challenges: a Mini Guide for (Mental) Health Professionals.

Artificial intelligence (AI) offers new perspectives in the healthcare sector, ranging from clinical...

Properties of Effective Information Anonymity Regulations

A firm seeks to analyze a dataset and to release the results. The dataset contains information abo...

DefectTwin: When LLM Meets Digital Twin for Railway Defect Inspection

A Digital Twin (DT) replicates objects, processes, or systems for real-time monitoring, simulation...