An artificial intelligence-driven model developed by Halima Haque, graduate student at Independent University, Bangladesh, ...

GDP prediction is a complex task, influenced by multiple economic factors such as government expenditure, foreign direct investment (FDI), remittance inflows, inflation, and official development aid.

Discover how AI and DNA methylation revolutionize brain tumor diagnosis, increasing accuracy, and identifying new therapeutic ...

Feature selection is a critical process in ML that helps eliminate irrelevant or redundant variables, leading to better generalization and model efficiency. The study proposes a Hybrid Feature ...

We evaluated multiple models, including simple linear regression (SLR), multiple linear regression (MLR), Random Forest (RF), XGBoost, and multilayer perceptron (MLP). Results showed that ensemble ...

Maize growth inversion models were established using Partial Least Squares Regression (PLSR), Support Vector Regression (SVR), and Random Forest (RF), with model efficacy compared using performance ...

Get Instant Summarized Text (Gist) Critical Height Sampling (CHS) offers a model-free method for forest volume estimation, using a "critical height" measurement that reflects tree taper. It avoids ...

Descending steeply from a 4000m altitude, it is one of the many fragile basins in the Himalaya. Balkhila Model Forest (BMF) in Chamoli district of Uttarakhand state centered around nature conservation ...

But, since Thursday, at least 3,000 employees have been laid off across the United States Forest Service and the National Park Service, part of a wave of Trump administration cuts to the federal ...

It highlights challenges related to data integration, quality, model interpretability, and clinical relevance. It suggests improvements in terms of hybrid machine learning models, enhanced methods for ...