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

The study identifies nutrient pollution, industrial runoff, and urban wastewater as primary contributors to algal blooms in ...

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 ...

Micro-forests, small areas of densely planted woodland trees, are being planted everywhere from London to Los Angeles. But what are they and how can they make our built-up metropolises better?