Spread the love“`html When it comes to tackling high school math, having the right tools can make a world of difference. Graphing calculators have become an essential part of the academic toolkit, ...

This course provides a comprehensive introduction to computer vision. Major topics include image processing, detection and recognition, geometry-based and physics-based vision and video analysis.

Tutorials contains the code accompanying the HIP Tutorials that can be found in the HIP documentation. For a full overview over the examples see the section repository contents. Only a subset of the ...

D-PDLP (Distributed PDLP) is a high-performance, distributed implementation of the Primal-Dual Hybrid Gradient (PDHG) algorithm designed for solving massive-scale Linear Programming (LP) problems on ...

Abstract: Unleashing the potential of unmanned aerial vehicles (UAVs) to play the role of caching devices for furnishing layered video services to ground users (GUs) holds tremendous promise. However, ...

Abstract: Point cloud is a collection of 3D coordinates that are discrete geometric samples of an object’s 2D surfaces. Imperfection in the acquisition process means that point clouds are often ...

Two-dimensional (2D) irregular packing problems are widespread in manufacturing industries such as shipbuilding, metalworking, automotive production, aerospace, clothing and furniture manufacturing.

Physics-Informed Neural Networks (PINN) are neural networks encoding the problem governing equations, such as Partial Differential Equations (PDE), as a part of the neural network. PINNs have emerged ...

We introduce Scallop, an accurate reference-based transcript assembler that improves reconstruction of multi-exon and lowly expressed transcripts. Scallop preserves long-range phasing paths extracted ...