Results 241 to 250 of about 235,639 (329)

BCTI: a Bayesian network-based method for revealing critical transitions in complex biological systems. [PDF]

PeerJ
Tong Y, Hong R, Yang N, Chen P, Peng H, Tang H, Liu R.   +6 more
europepmc   +1 more source

Dynamic risk analysis of offloading process in floating liquefied natural gas (FLNG) platform using Bayesian Network

, 2016
ChuiTing Yeo, Jyoti Bhandari, Rouzbeh Abbassi, Vikram Garaniya, Shuhong Chai, Behzad Shomali   +5 more
openalex   +2 more sources

Dynamic Spillovers Between FinTech, Blockchain, and Green Finance: A Quantile Connectedness Approach

Business Strategy and the Environment, EarlyView.
ABSTRACT This paper explores how financial innovation and environmental sustainability intersect by analyzing spillovers between FinTech, blockchain energy use, and green finance. Using a Quantile Vector Autoregression (QVAR) framework, we examine weekly data from 2018 to 2024 across 11 digital, environmental, and macro‐financial indices.
Mehmet Sahiner, Sisi Sung, James Devlin
wiley   +1 more source

Asynchronous Articulatory Feature Recognition Using Dynamic Bayesian Networks

, 2004
Mirjam Wester, Joe Frankel, Simon King
openalex   +1 more source

A sequential dynamic Bayesian network for pore-pressure estimation with uncertainty quantification

, 2017
Rachel H. Oughton, David Wooff, R. W. Hobbs, Richard E. Swarbrick, Stephen O’Connor   +4 more
openalex   +2 more sources

Artificial Intelligence–Driven and Digital Practices for Circular Business and Finance: Insights for Advancing Hubs for Circularity

Business Strategy and the Environment, EarlyView.
ABSTRACT The emerging concept of Hubs for Circularity (H4Cs) presents an opportunity to create collaborative, self‐sustaining regional industrial ecosystems that drive circular economy transitions at scale. However, the operationalisation of H4Cs faces financial, organisational and data‐driven challenges.
Aditya Tripathi, Marcos R. Machado, Laura Spierdijk, Devrim Murat Yazan   +3 more
wiley   +1 more source

Reducing particle filtering complexity for 3D motion capture using dynamic Bayesian networks

, 2008
Cédric Rose, Jamal Saboune, François Charpillet   +2 more
openalex   +1 more source

Dynamic Bayesian Networks, Elicitation and Data Embedding for Secure Environments

Kieran Drury, Jim Q. Smith
openalex   +2 more sources

Achieving Carbon Neutrality: Strategic Pathways to Sustainability and Net Zero in Manufacturing Supply Chains

Business Strategy and the Environment, EarlyView.
ABSTRACT Reaching global net‐zero targets has become an urgent priority as businesses and nations face increasing pressure to reduce greenhouse gas emissions. Achieving carbon neutrality in manufacturing supply chains requires comprehensive systemic changes across business processes.
Vimal K. E. K., Sivakumar K., Jayakrishna Kandasamy, Umesh Kumar, Anil Kumar, Ashutosh Samadhiya   +5 more
wiley   +1 more source

Comparison of the Efficacy of Different Traditional Chinese Exercises in the Treatment of Chronic Non-Specific Low Back Pain: A Bayesian Network Meta-Analysis [Letter]. [PDF]

J Pain Res
Jiang Y, Li L, Fang J.
europepmc   +1 more source