Results 91 to 100 of about 5,352,065 (277)
Business Strategy and the Environment, EarlyView.ABSTRACT Airports are strategic and environmental nodes in global transport systems where rapid passenger growth challenges capacity, sustainability, and resilience. This study uses anonymized mobile network data to analyze and forecast passenger dynamics at Lisbon Airport, Portugal, linking data‐driven insights to sustainable mobility and ...
João Carlos Ferreira +3 more
wiley +1 more source
Sensors, 2018 As a multichannel signal processing method based on data-driven, multivariate empirical mode decomposition (MEMD) has attracted much attention due to its potential ability in self-adaption and multi-scale decomposition for multivariate data.
Yong Lv, Houzhuang Zhang, Cancan Yi
doaj +1 more source
Efficient GPU implementation of the multivariate empirical mode decomposition algorithm
Journal of Computational Science, 2023 Zeyu Wang 0012, Zoltan Juhasz
openaire +2 more sources
Business Strategy and the Environment, EarlyView.ABSTRACT Institutional investors increasingly rely on ESG ratings to evaluate financially material sustainability risks, while governments promote corporate alignment with the United Nations Sustainable Development Goals (SDGs). Because these frameworks differ substantially in capital market salience and monitoring intensity, board oversight may not ...
Mohamed Hegazy +2 more
wiley +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT Eco‐labels and sustainability rating scales are widely used to communicate product sustainability, yet it remains unclear whether combining these signals enhances or undermines consumer responses. Drawing on signaling theory, this study examines how eco‐label familiarity and the presence of a sustainability rating scale jointly shape consumer ...
Sara Raubvogel +3 more
wiley +1 more source
Measurement + ControlAiming at the problem of mode aliasing in the adaptive decomposition of nonlinear and non-stationary current signals generated by three-phase asynchronous motor faults, and the fault features contained in signals collected by a single sensor can not be ...
Hui Ali, Yu Jie, Lu Weiqiang
doaj +1 more source
Deep LSTM Surrogates for MEMD: A Noise-Assisted Approach to EEG Intrinsic Mode Function Extraction
InformationIn this paper, we propose a deep learning-based surrogate model for Multivariate Empirical Mode Decomposition (MEMD) using Long Short-Term Memory (LSTM) networks, aimed at efficiently extracting Intrinsic Mode Functions (IMFs) from ...
Pablo Andres Muñoz-Gutierrez +2 more
doaj +1 more source
AI inspired EEG-based spatial feature selection method using multivariate empirical mode decomposition for emotion classification. [PDF]
Multimed Syst, 2022 Asghar MA +4 more
europepmc +1 more source
Do Corporate ESG Disclosures Drive Consumer Demand (Sales)? The Role of Environmental Sensitivity
Business Strategy and the Environment, EarlyView.ABSTRACT The question of whether strong environmental, social, and governance (ESG) disclosure largely benefits high‐demand customers or if it generates value across all sales levels is yet to be empirically verified. This study, therefore, examines how ESG performance influences consumer demand (sales outcomes) among listed firms across African ...
Idorenyin J. Okon +2 more
wiley +1 more source
Frontiers in Human Neuroscience, 2018 Investigating temporal variability of functional connectivity is an emerging field in connectomics. Entering dynamic functional connectivity by applying sliding window techniques on resting-state fMRI (rs-fMRI) time courses emerged from this topic.
Markus Goldhacker +6 more
doaj +1 more source