When climbers reached the crown of a massive Taiwania cryptomerioides fir deep in Taiwan’s Da’an River valley and dropped a ...

Scientists who study plant physiology and evolution have a new tool in their toolkit: a machine learning algorithm that can ...

Researchers have created the first high-resolution global map of the extent of one of Earth’s largest—and least ...

Abstract: We propose an efficient tree search algorithm for determining the free distance of variable-length error-correcting codes (VLECs). A main idea behind the algorithm is to structure all pairs ...

Descriptive set theorists study the niche mathematics of infinity. Now, they’ve shown that their problems can be rewritten in the concrete language of algorithms. All of modern mathematics is built on ...

This section provides detailed descriptions of the dataset, a simple matching algorithm for evaluation of detection results, and a basic baseline approach for individual tree detection to benchmark ...

Search and rescue drones are already in use, but planning their search paths is more art than science. AI could change that. If a hiker gets lost in the rugged Scottish Highlands, rescue teams ...

K-Nearest Neighbors (KNN) is a simple yet effective supervised machine learning algorithm used for both regression and classification tasks. The algorithm works by finding the K nearest data points in ...

The living-dining space at the heart of a tree grove in bucolic Baden-Württemberg, southwest Germany, gives off strong Flinstones-family-kitchen vibes. Thirty-six big and slender London plane trees ...

NeighborNet constructs phylogenetic networks to visualize distance data. It is a popular method used in a wide range of applications. While several studies have investigated its mathematical features, ...

Input files: fastq files are interpreted as raw read files. Fasta, GenBank, and EMBL files are interpreted as genome assemblies. Compressed files are also accepted of any of the above file types. You ...