Results 71 to 80 of about 9,690 (264)

Benchmarking the performance of uncertainty quantification methods for neural network-based interatomic potentials

Journal of Cheminformatics
Machine-learned interatomic potentials (ML-IAPs) continue to gain popularity as accurate, computationally efficient replacements for traditional, physics-based interatomic potentials and expensive ab initio methods.
Nicholas T. Wimer, Juliane Mueller, Sebastien Hamel, Vincenzo Lordi   +3 more
doaj   +1 more source

Resilient Multimodal Fusion for Robust Vulnerability Exploitability Prediction Under Data Degradation

Advanced Intelligent Systems, EarlyView.
Secure Fusion‐X harmonizes unstructured NVD descriptions with structured CVSS/CWE/CPE metadata via decision‐level fusion, overcoming the fragility of traditional unimodal models. Automated assessment of software vulnerability exploitability is essential for intelligent cyber defense, yet its effectiveness is often hindered by unstable, delayed, or ...
Mona Dolati, Seyedeh Leili Mirtaheri, Reza Shahbazian, Andrea Pugliese   +3 more
wiley   +1 more source

Reynolds Stress Perturbation for Epistemic Uncertainty Quantification of RANS Models Implemented in OpenFOAM

Fluids, 2019
Reynolds-averaged Navier-Stokes (RANS) models are widely used for the simulation of engineering problems. The turbulent-viscosity hypothesis is a central assumption to achieve closures in this class of models.
Luis F. Cremades Rey, Denis F. Hinz, Mahdi Abkar   +2 more
doaj   +1 more source

Vertical NAND Flash Memory‐Based Bayesian Neural Networks With Intrinsic Gaussian Weight Sampling

Advanced Intelligent Systems, EarlyView.
Commercial vertical NAND flash memory supports Bayesian neural networks by using paired cells to produce bell‐shaped weight distributions. Read voltage controls their spread without additional memory cells or changes to the array structure. Simulations based on device measurements demonstrate improved uncertainty estimation and accuracy gains of up to ...
Sung‐Ho Park, Mingyun Oh, Dongbeen Shin, Jaehyeon Kim, Jonghyun Ko, Jiseong Im, Yeongheon Yang, Gyuweon Jung, Jong‐Ho Lee   +8 more
wiley   +1 more source

A De-Nesting Hybrid Reliability Analysis Method and Its Application in Marine Structure

Journal of Marine Science and Engineering
In recent years, marine structures have been widely used in the world, making significant contributions to the utilization of marine resources. In the design of marine structures, there is a hybrid reliability problem arising from aleatory uncertainty ...
Chenfeng Li, Tenglong Jin, Zequan Chen, Guanchen Wei   +3 more
doaj   +1 more source

How Organizations Learn and Innovate to Institutionalize Generative AI: Trust, Feedback Loops, and Cultural Friction

AI &Innovation, EarlyView.
ABSTRACT This study examines how organizations advance in their use of Generative AI (GenAI) tools after initial adoption with particular attention to the dynamics of trust, cultural resistance, and feedback mechanisms. Grounded in organizational learning theory and institutional theory, we propose a framework that captures the factors influencing how ...
Surajit Bag, Gautam Srivastava, Santosh Kumar Shrivastav, Daniel Rees   +3 more
wiley   +1 more source

AI Dependence as a Longitudinal Governance Problem

AI &Innovation, EarlyView.
ABSTRACT Artificial intelligence governance typically focuses on whether people rely on AI appropriately during individual decisions. This Perspective addresses a different question: whether repeated AI use changes the capabilities and alternatives available to users and organisations over time.
Yiran Du
wiley   +1 more source

Uncertainty-Aware Time Series Anomaly Detection

Future Internet
Traditional anomaly detection methods in time series data often struggle with inherent uncertainties like noise and missing values. Indeed, current approaches mostly focus on quantifying epistemic uncertainty and ignore data-dependent uncertainty ...
Paul Wiessner, Grigor Bezirganyan, Sana Sellami, Richard Chbeir, Hans-Joachim Bungartz   +4 more
doaj   +1 more source

A Neutrosophic Epistemic Framework for Intangible Cultural Heritage Resources: Modeling Authenticity, Uncertainty, and Fragmentation in Tourism Development Potential Analysis [PDF]

Neutrosophic Sets and Systems
The sustainability of intangible cultural heritage (ICH) increasingly depends on its interface with cultural tourism. While this interaction brings visibility and economic benefit, it often introduces epistemic tension: different stakeholders interpret ...
Chunxi Fan, Haihong Tan, Fangxin Xu
doaj   +1 more source

Border harm and affective injustice: The politics of anger at the Melilla border, Spain

American Journal of Community Psychology, EarlyView.
Abstract This article examines protests in a detention center in Melilla, Spain—a site where structural violence intersects with the everyday harms of confinement. Adopting a justice and dignity‐centered perspective, we analyze grassroots forms of resistance emerging at the border. The study focuses on the protests of Tunisian migrants and explores the
Corina Tulbure
wiley   +1 more source