AI helps find trees in a forest: Researchers achieve 3D forest reconstruction from remote sensing data

Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...

HECA: Promising New Active ETF From Hedgeye

Hedgeye Capital Allocation ETF is a rules-based strategy rotating 140+ ETFs to target long-term growth and limit drawdowns to ...
Quanta Magazine

Why There’s No Single Best Way To Store Information

The math of data structures helps us understand how different storage systems come with different trade-offs between ...
Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Frontiers

Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China

Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...
Scientific Research Publishing

Wang, H. and Yan, X. (2015) Optimizing the Echo State Network with a Binary Particle Swarm Optimization Algorithm. Knowledge-Based Systems, 86, 182-193.

ABSTRACT: This paper is devoted to studying the dynamic event-triggered consensus problem in distributed Echo State Networks (ESNs). The traditional ESN problem can be formulated as a set of ...
ag.purdue

3D tree reconstruction algorithm contributes to a new era of urban planning

WEST LAFAYETTE, Ind. — Trees compete for space as they grow. A tree with branches close to a wall will develop differently from one growing on open ground. Now everyone from urban planners and ...