Prior studies have only taken into account the predictability of emerging economies’ carbon-trading markets by using spot-based commodity-market returns. This study theoretically advances the existing literature on energy economies by integrating different forward-looking uncertainty sources from the European equity (V...
Mosab I. Tabash, S. Issa, Silvi Asna Prestianawati et al.· Asian Economic and Financial...· 0 citations
Carbon dioxide emissions remain the principal driver of anthropogenic climate change, yet the socioeconomic forces that shape per capita emissions differ markedly across the distribution of emitting economies. This study examines the determinants of carbon dioxide emissions per capita using a balanced structure of 1189...
A privacy‐preserving and explainable deep learning framework that integrates Conditional Tabular Generative Adversarial Network (CTGAN)‐based augmentation, adaptive model selection, and gradient‐based interpretability for small‐scale tabular data is proposed.
Samira Tajdar, Hakimeh Dustmohammadloo, R. Rakhmonov et al.· Concurrency and Computation· 0 citations
Organic farming has emerged as a sustainable alternative to conventional farming, providing potential benefits in environmental conservation, crop quality, and market access. This study measures the impact of organic farming on agricultural productivity, resource utilisation, environmental sustainability, and trade com...
Hayder M. Ali, G. Ananthakrishnan, Anusha Papasani et al.· Research on World Agricultur...· 0 citations
A hybrid computational intelligence framework that integrates advanced machine learning models with nature-inspired optimization algorithms for wind power prediction enhances forecasting reliability and supports improved grid stability, reserve allocation, renewable energy integration, and data-driven operational plann...
Tariq Alkhrissat, Fıras Abed, S. Aldulaimi et al.· Scientific Reports· 0 citations
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