Results 251 to 260 of about 234,460 (307)

Corporate Dynamic Eco‐Innovation Capability and Carbon Emission Reduction: Evidence From African Listed Firms With the Role of Institutional Pressures

Business Strategy and the Environment, EarlyView.
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, Adeolu O. Adewuyi, Alex O. Acheampong   +2 more
wiley   +1 more source

Temporal and interaction dynamics of dengue cases, entomological and meteorological variables in Melaka, Malaysia: A multivariate time series analysis. [PDF]

PLoS One
Alipitchay S, Alias MA, Hamid SNSSA, Hamzah R, Mansor N, Hamid NA, Othman H.   +6 more
europepmc   +1 more source

Carbon Footprint of Bank Loans: Opportunities and Risk Implications in the Banking Industry

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines whether the carbon footprint of bank loan portfolios influences bank stability, profitability and cost efficiency and whether regulatory quality moderates these relationships. Using a balanced panel of 33 countries from 2005 to 2018, the analysis combines banking‐sector indicators from the World Bank Global Financial ...
Honglei Wang, Chen Lin, Kingsley Imandojemu, Omozele Lynda Showunmi, Romanus Osabohien, Felix Orole   +5 more
wiley   +1 more source

High-Precision prediction of curling trajectory multivariate time series using the novel CasLSTM approach. [PDF]

Sci Rep
Guo Y, Jin J, Zhao H, Jiang Y, Li D, Shen Y.   +5 more
europepmc   +1 more source

Generative Adversarial Network for Synthesizing Multivariate Time-Series Data in Electric Vehicle Driving Scenarios. [PDF]

Sensors (Basel)
Jeng SL.
europepmc   +1 more source

RNN and GNN based prediction of agricultural prices with multivariate time series and its short-term fluctuations smoothing effect. [PDF]

Sci Rep
Min Y, Kim YR, Hyon Y, Ha T, Lee S, Hyun J, Lee MR.   +6 more
europepmc   +1 more source

Winter wheat yield prediction using UAV-based multivariate time series data and variate-independent tokenization. [PDF]

Plant Phenomics
Ge Y, Zhu Z, Jin S, Zang J, Zhang R, Li Q, Sun Z, Liu S, Xu H, Zhai Z.   +9 more
europepmc   +1 more source

Sparse transformer with local and seasonal adaptation for multivariate time series forecasting. [PDF]

Sci Rep
Zhang Y, Wu R, Dascalu SM, Harris FC.
europepmc   +1 more source

Fitting graphical interaction models to multivariate time series. [PDF]

Eichler, Michael
core   +1 more source

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Multivariate Time Series Imputation With Transformers

IEEE Signal Processing Letters, 2022
Processing time series with missing segments is a fundamental challenge that puts obstacles to advanced analysis in various disciplines such as engineering, medicine, and economics. One of the remedies is imputation to fill the missing values based on observed values properly without undermining performance.
Ayberk Yarkin Yildiz, Emirhan Koç, Aykut Koç   +2 more
openaire   +3 more sources