Beyond Structural Interventions: The Human Architecture Shaping ESG Integration in Corporate Systems
ABSTRACT Despite the promotion of ESG in corporate discourse, substantive integration of ESG principles into business practices remains challenging. This study applies and extends Meadows' leverage framework to examine ESG integration in UAE‐listed firms.
M. Schulte, Dimitris Christopoulos
wiley +1 more source
Fuzzy inference rule based task offloading model (FI-RBTOM) for edge computing. [PDF]
Ibrahim K +6 more
europepmc +1 more source
ABSTRACT Focusing on firm‐size heterogeneity, this study examines how institutional reform reshapes the effects of environmental, social, and governance (ESG) disclosure on firm value. Using 2019–2023 panel data on 1427 Japanese listed firms (before and after the 2022 Tokyo Stock Exchange reorganization and Corporate Governance Code revision), this ...
Akio Nakashima, Kimitaka Nishitani
wiley +1 more source
Research on Adaptive Variable Impedance Control Method Based on Adaptive Neuro-Fuzzy Inference System. [PDF]
Wang X, Li C, Cai D, Cui Y.
europepmc +1 more source
Smart Sustainable Cities: Using a Fuzzy Inference System To Determine their Global Score
Oswaldo Redig de Campos Filho +2 more
openalex +2 more sources
Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions
Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
wiley +1 more source
Predicting Pregnant Women's Abortion: Artificial Neural Network, Wavelet Neural Network and Adaptive Neural Fuzzy Inference System. [PDF]
Hashemian AH +5 more
europepmc +1 more source
A hidden Markov model and reinforcement learning‐based strategy for fault‐tolerant control
Abstract This study introduces a data‐driven control strategy integrating hidden Markov models (HMM) and reinforcement learning (RL) to achieve resilient, fault‐tolerant operation against persistent disturbances in nonlinear chemical processes. Called hidden Markov model and reinforcement learning (HMMRL), this strategy is evaluated in two case studies
Tamera Leitao +2 more
wiley +1 more source
Adaptive neuro fuzzy inference system based multicrop yield prediction in the semi arid region of India. [PDF]
Borse K +3 more
europepmc +1 more source

