Improving bank customer churn prediction with feature reduction using GA. [PDF]
T N N, Pramod D.
europepmc +1 more source
Varieties of Local Implementation for Net Zero in China: Evidence From Three Cities
ABSTRACT Since China updated its nationally determined contributions in 2021, achieving carbon peaking before 2030 and carbon neutrality before 2060—the so‐called “dual carbon” goals—has become the new guiding principle of China's climate governance. However, few studies have examined the implementation of China's dual carbon goals, particularly the ...
Ting Guan, Ziwei Gou, Yixian Sun
wiley +1 more source
Modeling and forecasting Saudi banking stability using ARIMA and exponential smoothing technique. [PDF]
Alnajjar A, Assous HF, Al-Najjar H.
europepmc +1 more source
openaire +1 more source
Energy Consumption and CO2 Emissions Forecasting of Transport Sector Using Machine Learning
The transport sector accounts for approximately one‐quarter of Iran's final energy consumption. The energy demand in this sector has the least variation, with petroleum products accounting for more than 85% of the demand. Furthermore, the accelerated growth of energy consumption and the sector's reliance on fossil fuels, which are the main cause of ...
Amir Hossein Akbari +2 more
wiley +1 more source
Reconciliation or reputation: critical analysis of commercial sector commitments and framing in reconciliation action plans. [PDF]
Leersen P +4 more
europepmc +1 more source
Forecasting With Dynamic Factor Models Estimated by Partial Least Squares
ABSTRACT Dynamic factor models (DFMs) have found great success in nowcasting and short‐term macroeconomic forecasting when incorporating large sets of predictive information. The factor loadings are typically estimated cross‐sectionally with principal component analysis (PCA) or maximum likelihood (ML), which ignore whether the factors have predictive ...
Samuel Rauhala
wiley +1 more source
The adaptive engagement framework: enhancing banking customer experience through AI-powered invisible marketing. [PDF]
Shahbazi A +5 more
europepmc +1 more source
Point and Risk estImation Using an enSemble of Models for Nowcasting: PRISM‐Now
ABSTRACT We propose PRISM‐Now, a novel ensemble forecasting system for near‐term GDP projection. Recognizing that relevant economic information evolves over time, we treat forecasts from multiple base models as draws from a mixture distribution of “good” and “bad” estimates, whose composition changes continuously and cannot be identified ex ante.
Beomseok Seo, Hyungbae Cho, Dongjae Lee
wiley +1 more source
How Employees' Emotional Labor Promotes Perceived Service Quality: A Dual-Pathway Model. [PDF]
Cheng P, Zhao X.
europepmc +1 more source

