GitHub

Algorithms and Data Structures

An understanding of algorithms and data structures will aid the implementation of data science or machine learning methods in practice. Machine learning emphasizes prediction, scalability, and ...
Purdue University College of Agriculture

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 ...
Lakeland Public Television

Breezy Point Navigating Alleged Data Breach Involving City Council Member

There is a Breezy Point City Council member currently linked to an alleged data breach. During a council meeting in late December, City Attorney Joseph Langel brought forth multiple emails reportedly ...
IEEE

Model and Data Dual-Driven Double-Point Observation Network for Ultra-Short MI EEG Classification

Abstract: Although deep networks have succeeded in various signal classification tasks, the time sequence samples used to train the deep models are usually required to reach a certain length.
KCEN TV

Morgan’s Point Resort firefighter loses home in afternoon structure fire

MORGANS POINT RESORT, Texas — Morgan’s Point Resort Fire and Rescue responded to a structure fire Wednesday afternoon that destroyed a home belonging to one of the department’s volunteer firefighters, ...
IEEE

Efficient Data Structures and Algorithms for Cloud Computing Platforms

Abstract: The extensive adoption of cloud computing platforms in storing and processing data have brought forth a new age of efficiency in the way data is stored, processed and managed, requiring new ...
Frontiers

Structure-aware completion of plant 3D LiDAR point clouds via a multi-resolution GAN-inversion network

Introduction: Three-dimensional (3D) point clouds acquired by LiDAR are fundamental for applications such as autonomous navigation, mobile robotics, infrastructure inspection, and cultural-heritage ...
IEEE

Structure-Constrained Direction-Orthogonalizing Radial Basis Function Fitting of Scattered Data

Abstract: The improvement of parameter estimation accuracy depends on the increase of information. The purpose of structure-constrained scattered data fitting is to build a more accurate field by ...
IEEE

Deep Learning Improves Point Density in PS-InSAR Data Toward Finer-Scale Land Surface Displacement Detection

Abstract: The permanent scatterer interferometric aperture radar (PS-InSAR) technique is used to measure and monitor displacements of the Earth’s surface over time. While the approach is promising for ...
MarketWatch

Structure Therapeutics details positive trial data for a weight-loss pill, and the stock rockets

Structure Therapeutics’ stock soared toward an 18-month high in early Monday trading, after mid-stage data for its oral daily GLP-1 receptor appeared comparable to that of one of Eli Lilly’s ...
IEEE

TAS: Point Cloud Fine Registration Based on Tunnel Appendage Structure Descriptor

Abstract: The weak geometric features and high repeatability of information in tunnel scenes are important factors that make point cloud fine registration very difficult. This makes it challenging for ...