Machine learning models predictive performance of Asian economies’ green technological progress
Bibliographic Data
| ID | 6455895 |
|---|---|
| Authors | Elsadig Musa Ahmed (0000-0002-1485-9452), Khalid Eltayeb Elfaki (0000-0002-8728-0492), Eimad Abusham (0000-0002-4895-2057) |
| Year | 2025 |
| Volume | 10 |
| Pages | 101323-101323 |
| Publication date | 2025-09-17 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sustainable Futures (JOURNAL) |
| Journal identifiers | ISSN: 2666-1888 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.sftr.2025.101323 |
| OpenAlex | W4414280217 |
| Language | EN |
| Citations received | 1 |
| References cited | 31 |
Economic and Technological Innovation · Energy, Environment, Economic Growth · Innovation Diffusion and Forecasting
Learning representations by back-propagating errors
An introduction to recursive partitioning
Gradient boosting machines, a tutorial
Greedy function approximation
Random Forests
The relationship between CO2 emissions and macroeconomics indicators in low and high-income countries
Determinants of carbon emissions in Africa
Carbon productivity and economic growth patterns in China
A Contribution to the Theory of Economic Growth
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 1 |