Chapter 4 (Investigating Trigonometric Functions) treats the trigonometric functions graphically and analyzes the meaning of graphs, also with help of their derivatives.

We propose a learning-based low-light image enhancement algorithm, called the histogram-based transformation function estimation network (HTFNet), that estimates transformation functions using the ...

Implicit representations are widely used for object reconstruction due to their efficiency and flexibility. In 2021, a novel structure named neural implicit map has been invented for incremental ...

Over the past 25 to 30 years, agile innovation methods have greatly increased success rates in software development, improved quality and speed to market, and boosted the motivation and ...

Jacobians in Orthogonal and Related Transformations Jacobians in the Complex Case Transformations Involving Eigenvalues and Unitary Matrices Some Special Functions of Matrix Argument Functions of ...

ParGNN: A Scalable Graph Neural Network Training Framework on multi-GPUs ParGNN is accepted by DAC 2025. ParGNN, an efficient full-batch training system for GNNs, which adopts a profiler-guided ...

The Belfry OpenScad Library, v2.0. An OpenSCAD library of shapes, masks, and manipulators to make working with OpenSCAD easier. BETA - shapes3d.scad · BelfrySCAD/BOSL2 Wiki ...

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