Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
Abstract: Random Forest is a well-known type of ensemble learning, which combines a number of decision trees to improve the prediction ability and reduce the risk of overfitting. This paper aims at ...
Abstract: As an amendment to the deep forest, deep forest regression (DFR) has been recently proposed for industrial process modeling. However, training DFR models is an arduous task in terms of ...
Introduction: In the temperate grasslands of the UK, forage quality is a key factor influencing both animal performance and environmental impact. Because forage quality strongly affects rumen ...
Low-dose Computed Tomography (CT) imaging minimizes radiation exposure but often results in degraded image quality, making diagnosis challenging. Image Quality Assessment (IQA) is a process of ...
Example Output: Canopy Height Change Analysis on the Kaibab National Forest, northern Arizona (2012–2019) The figure above illustrates canopy height model change along the Kaibab National Forest in ...
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