Results 131 to 140 of about 24,841 (222)

ESG Ratings and Firms' Engagement in Global Innovation Ecosystems: Implications for Green Innovation Capacity

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT The increasing salience of climate change has intensified attention to the roe of ESG ratings in shaping firms' green innovation. We examine the link between ESG performance and green innovation, highlighting the role of participation in global innovation networks.
Miaomiao Tao, David Roubaud, Mingzhi Zhang, Qianli Ma   +3 more
wiley   +1 more source

The GFB Tree and Tree Imbalance Indices. [PDF]

Bull Math Biol
Cleary S, Fischer M, St John K.
europepmc   +1 more source

A Comparative Performance Analysis of Computational Intelligence Techniques to Solve the Asymmetric Travelling Salesman Problem. [PDF]

Comput Intell Neurosci, 2021
Odili JB, Noraziah A, Zarina M.
europepmc   +1 more source

The Virial Expansion of the Hydrogen Equation of State in Comparison to PIMC Simulations: The Quasiparticle Concept, IPD, and Ionization Degree

Contributions to Plasma Physics, EarlyView.
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, Chengliang Lin, W. Ebeling, H. Reinholz   +3 more
wiley   +1 more source

Software for dataset-wide XAI: From local explanations to global insights with Zennit, CoRelAy, and ViRelAy. [PDF]

PLoS One
Anders CJ, Neumann D, Samek W, Müller KR, Lapuschkin S.   +4 more
europepmc   +1 more source

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

Deep Underground Science and Engineering, EarlyView.
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, Chenxi Yin, Guangdong Yang, Shengyong Ding, Bin Tian   +4 more
wiley   +1 more source

Based on Data-Augmentation long short-term memory​​ gear meshing accuracy and error compensation. [PDF]

Sci Rep
Liu F, Zou L, Cao Z, Jing X, Xing K, Liu M.   +5 more
europepmc   +1 more source

From boundaries to bumps: When closed (extremal) contours are critical. [PDF]

J Vis, 2021
Kunsberg B, Zucker SW.
europepmc   +1 more source

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

Higher Algebraic K-Theory of Causality. [PDF]

Entropy (Basel)
Mahadevan S.
europepmc   +1 more source