Results 31 to 40 of about 88,482 (262)
Sistema de reconocimiento facial para el control de accesos mediante Inteligencia Artificial
El presente artículo tiene como objetivo principal el desarrollo de un sistema que permita el reconocimiento facial de una persona para el control de accesos mediante Inteligencia Artificial.
Jean Elias Manuel Reyes Campos +3 more
doaj +1 more source
ARBTools: A Tricubic Spline Interpolator for Three-Dimensional Scalar or Vector Fields
ARBTools is a Python library containing a Lekien-Marsden type tricubic spline method for interpolating three-dimensional scalar or vector fields presented as a set of discrete data points on a regular cuboid grid.
Paul Walker, Ulrich Krohn, David Carty
doaj +1 more source
Accelerated Modeling of Near and Far-Field Diffraction for Coronagraphic Optical Systems
Accurately predicting the performance of coronagraphs and tolerancing optical surfaces for high-contrast imaging requires a detailed accounting of diffraction effects. Unlike simple Fraunhofer diffraction modeling, near and far-field diffraction effects,
Abdellah +26 more
core +1 more source
zfit: scalable pythonic fitting
Statistical modeling is a key element in many scientific fields and especially in High-Energy Physics (HEP) analysis. The standard framework to perform this task in HEP is the C++ ROOT/RooFit toolkit; with Python bindings that are only loosely integrated
Coutinho, Rafael Silva +3 more
core +1 more source
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson +9 more
wiley +1 more source
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source
API design for machine learning software: experiences from the scikit-learn project [PDF]
Scikit-learn is an increasingly popular machine learning li- brary. Written in Python, it is designed to be simple and efficient, accessible to non-experts, and reusable in various contexts.
Blondel, Mathieu +14 more
core +3 more sources
Probabilistic Programming in Python using PyMC
Probabilistic programming (PP) allows flexible specification of Bayesian statistical models in code. PyMC3 is a new, open-source PP framework with an intutive and readable, yet powerful, syntax that is close to the natural syntax statisticians use to ...
Fonnesbeck, Christopher +2 more
core +2 more sources
A numerical model resulting from irreversible thermodynamics for describing transport processes is introduced, focusing on thermodynamic activity gradients as the actual driving force for diffusion. Implemented in CUDA C++ and using CalPhaD methods for determining the necessary activity data, the model accurately simulates interdiffusion in aluminum ...
Ulrich Holländer +3 more
wiley +1 more source
Generating Unimodular Matrix in Python for Solving Systems of Linear Equations
Linear equation systems with integer solutions are widely used in modern computing fields such as cryptography and optimization, but conventional methods often produce inaccurate decimal solutions.
Muhammad Irfan Mustakim +1 more
doaj +1 more source

