Fueling Tomorrow: Scenario Planning for the Future of Gas Stations
ABSTRACT Transport electrification is reshaping the service infrastructures that mediate everyday mobility, yet most electrification scenario studies remain macrolevel and offer limited insight into how incumbent forecourt (gas‐station) networks can adapt under deep uncertainty.
Joao Gabriel Rosa +2 more
wiley +1 more source
Fuzzy fractional modeling and analysis of stochastic Fokker Planck equations under uncertainty and memory effects. [PDF]
Qayyum M +6 more
europepmc +1 more source
Costly Signals and Cheap Talk: Measuring the Decoupling of ESG Routinisation and Greenwashing Risk
ABSTRACT Greenwashing is a systemic challenge to sustainable finance, yet prevailing ESG metrics still tend to equate more disclosure with more sustainability. We develop a dual‐index framework to compare firms' ESG ‘talk’ and ‘walk’ using hard data. An ESG Routinisation Index approximates the costly integration of sustainability into emissions, safety
Giacomo Zatini +2 more
wiley +1 more source
Observer effect modulates classification in a quantum epistemic framework. [PDF]
Hoorn JF, Ho JKW.
europepmc +1 more source
Fuzzy Probabilistic Approximation Spaces and Their Information Measures
—Rough set theory has proven to be an efficient tool for modeling and reasoning with uncertainty information. By introducing probability into fuzzy approximation space, a theory about fuzzy probabilistic approximation spaces is proposed in this paper ...
core
ABSTRACT Increasing global emphasis on sustainability has positioned green entrepreneurship as a key mechanism for aligning business with environmental responsibility. Despite growing research, green entrepreneurship remains conceptually fragmented, with overlapping constructs and inconsistent definitions, which may have constrained theoretical and ...
Alexandra Elena Carst +1 more
wiley +1 more source
FOR: Point Cloud Outlier Removal Based on Fuzzy Theory and Informativeness and Its Application to 3D Object Detection. [PDF]
Gan L, Yang Z, Liu Y, Wang Y, An X.
europepmc +1 more source
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
Calibration of a climate suitability model using a generalized likelihood uncertainty estimation (GLUE): a global case study of orange production. [PDF]
Hyun S, Kim KS, Beresford RM.
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

