Results 71 to 80 of about 4,055 (251)
ABSTRACT Despite the global emphasis on simultaneous achievement of higher growth and lower pollution (green growth), the dynamic link between eco‐innovation and CO2 emissions remains inadequately understood globally and specifically in Africa, with a complex and diverse institutional and regulatory landscape.
Idorenyin J. Okon +2 more
wiley +1 more source
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
Multiclass classification of imagined speech EEG using noise-assisted multivariate empirical mode decomposition and multireceptive field convolutional neural network. [PDF]
Park HJ, Lee B.
europepmc +1 more source
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
Intelligent Monitoring System Based on Noise-Assisted Multivariate Empirical Mode Decomposition Feature Extraction and Neural Networks. [PDF]
Zhao LF +4 more
europepmc +1 more source
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
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
Multivariate empirical mode decomposition-based structural damage localization using limited sensors. [PDF]
Sony S, Sadhu A.
europepmc +1 more source
Efficient GPU implementation of the multivariate empirical mode decomposition algorithm
Zeyu Wang 0012, Zoltan Juhasz
openaire +1 more source
Do Corporate ESG Disclosures Drive Consumer Demand (Sales)? The Role of Environmental Sensitivity
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

