Abstract: Forest height is crucial for resource surveys, its estimation holds significant importance. To date, existing forest height inversion models and methods primarily focus on tropical ...

In Mathematics, there are no shortcuts to understanding, but there are definitely smarter paths to scoring well.

To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...

Quadratic regression is a classical machine learning technique to predict a single numeric value. Quadratic regression is an extension of basic linear regression. Quadratic regression can deal with ...

This research advances hybrid soft-rigid robot simulations, achieving up to 1000 times faster computations through analytical derivatives in the GVS framework.

With the CBSE Class 12 Mathematics exam scheduled for March 9, 2026, students across the country are revising formulas and ...

Abstract: In recent years, deep-learning-based methods have been introduced for solving inverse scattering problems (ISPs), but most of them heavily rely on large training datasets and suffer from ...

The arterial vasculature is the second most frequently calcified structure in the human body after the skeleton. Calcification of the aorta and aortic valves occurs in most individuals in westernized ...

Westgold Resources Limited (Westgold or the Company) is pleased to announce that its Board has approved the Final Investment Decision (FID) to expand the Higginsville Processing Hub from 1.6Mtpa to ...

This study presents valuable findings for identifying biotypes of depression patients using white matter measures, which are under-utilised and under-appreciated in current biological and ...