Results 231 to 240 of about 149,758 (276)

Real‐time monitoring of tunnel structures using digital twin and artificial intelligence: A short overview

Deep Underground Science and Engineering, EarlyView.
How artificial intelligence (AI) and digital twin (DT) technologies are revolutionizing tunnel surveillance, offering proactive maintenance strategies and enhanced safety protocols. It explores AI's analytical power and DT's virtual replicas of infrastructure, emphasizing their role in optimizing maintenance and safety in tunnel management.
Mohammad Afrazi, Danial Jahed Armaghani, Hossein Afrazi, Hadi Fattahi, Pijush Samui   +4 more
wiley   +1 more source

Reconciling time and prediction error theories of associative learning. [PDF]

Nat Commun
Hamou N, Gershman SJ, Reddy G.
europepmc   +1 more source

A review on rockburst prediction and prevention to shape an ontology‐based framework for better decision‐making for underground excavations

Deep Underground Science and Engineering, EarlyView.
A scientometric analysis of 2449 journal articles and a comprehensive review of 336 papers were conducted, discussing and identifying challenges and research gaps in rockburst prediction and prevention and proposing an ontology‐based framework for better decision‐making in underground excavations. Abstract With underground engineering projects becoming
Hongchuan Yan, Haijiang Li, Hongqiang Xie, Mingli Xiao, Jianliang Pei, Huaizhong Liu, Jiangda He   +6 more
wiley   +1 more source

Divergent patterns of probabilistic reasoning in humans and GPT-5. [PDF]

Front Psychol
Imannezhad P, Pothos EM, Wills AJ.
europepmc   +1 more source

A Unified Platform for FCS and RICS Analysis with Advanced Statistical Inference. [PDF]

ACS Omega
Karimi H, Gustavson O, Česnokova I, Branovets J, Birkedal R, Laasmaa M, Vendelin M.   +6 more
europepmc   +1 more source

Advanced channel estimation in OTFS and NOMA using deep bayesian gaussian processes and compressive sensing. [PDF]

Sci Rep
Anilkumar N, Sengan S.
europepmc   +1 more source

Beyond Bayesian Inference: The Correlation Integral Likelihood Framework and Gradient Flow Methods for Deterministic Sampling. [PDF]

Bull Math Biol
Gwiazda P, Kazarnikov A, Marciniak-Czochra A, Szymańska Z.   +3 more
europepmc   +1 more source

QEKI: A Quantum-Classical Framework for Efficient Bayesian Inversion of PDEs. [PDF]

Entropy (Basel)
Yong J, Tang S.
europepmc   +1 more source