Results 111 to 120 of about 455 (208)
High genus surface parameterization using the Euclidean Ricci flow method. [PDF]
Wang YG.
europepmc +1 more source
ABSTRACT The relationship between board governance and corporate carbon emission disclosure remains persistently inconsistent across the empirical literature, despite decades of accumulated evidence. Drawing on agency, stakeholder, legitimacy, institutional, and upper echelons perspectives within a single analytical framework, we conduct a three‐level ...
Mohamed Hegazy +2 more
wiley +1 more source
Additivity and Chain Rules for Quantum Entropies via Multi-index Schatten Norms. [PDF]
Fawzi O +3 more
europepmc +1 more source
Nonparametric Statistical Inference with an Emphasis on Information-Theoretic Methods. [PDF]
Mielniczuk J.
europepmc +1 more source
ABSTRACT The properties of plasmas in the low‐density limit are described by virial expansions. Analytical expressions are known for the lowest virial coefficients from Green's function approaches. Recently, accurate path‐integral Monte Carlo (PIMC) simulations were performed for the hydrogen plasma at low densities by Filinov and Bonitz (Phys. Rev.
Gerd Röpke +3 more
wiley +1 more source
Enumeration of the Hosoya index of pericondensed benzenoid system. [PDF]
Farooq MT, Almalki N, Kaemawichanurat P.
europepmc +1 more source
A Comparative Performance Analysis of Computational Intelligence Techniques to Solve the Asymmetric Travelling Salesman Problem. [PDF]
Odili JB, Noraziah A, Zarina M.
europepmc +1 more source
Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan +4 more
wiley +1 more source
The GFB Tree and Tree Imbalance Indices. [PDF]
Cleary S, Fischer M, St John K.
europepmc +1 more source
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 +4 more
wiley +1 more source

