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CUDArray: CUDA-based NumPy [PDF]
, 2014 This technical report introduces CUDArray – a CUDA-accelerated subset of the NumPy library. The goal of CUDArray is to combine the ease of development from NumPy with the computational power of Nvidia GPUs in a lightweight and extensible framework. Since the motivation behind CUDArray is to facilitate neural network programming, CUDArray extends NumPy ...
Larsen, Anders Boesen Lindbo
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Array programming with NumPy [PDF]
Nature, 2020 Abstract Array programming provides a powerful, compact and expressive syntax for accessing, manipulating and operating on data in vectors, matrices and higher-dimensional arrays. NumPy is the primary array programming library for the Python language.
Harris, Charles R +25 more
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Frontal and non-frontal face detection using deep neural networks (DNN) [PDF]
International Journal of Research in Industrial Engineering, 2021 Face recognition has always been one of the most searched and popular applications of object detection, starting from the early seventies. Facial recognition is used for access control, authentication, fraud detection, surveillance, and by individuals to
N. Prasad +4 more
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Modified Haar-cascade model for face detection issues [PDF]
International Journal of Research in Industrial Engineering, 2020 Amid the previous three decades, the topic of image processing has gained vital name and recognition among researchers because of their frequent look in varied and widespread applications within the field of various branches of science and engineering ...
A. Singh, H. Herunde, F. Furtado
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Revista Odigos, 2021 Los sistemas que se emplean para la captura de movimiento o conocidos como análisis de marcha, generalmente emplean dispositivos dedicados que en el mercado se comercializan a elevados precios.
Carlos Luis Vargas Guevara +3 more
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PyBONDEM-GPU: A discrete element bonded particle Python research framework – Development and examples [PDF]
EPJ Web of Conferences, 2021 Discrete element modelling (DEM) is widely used to simulate granular systems, nowadays routinely on graphical processing units. Graphics processing units (GPUs) are inherently designed for parallel computation, and recent advances in the architecture ...
Dressler Sven, Wilke Daniel N.
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oflibnumpy & oflibpytorch: Optical Flow Handling and Manipulation in Python
Journal of Open Research Software, 2021 We present oflibnumpy and oflibpytorch, an optical flow library based on NumPy arrays and PyTorch tensors, respectively. It provides a structured approach to the representation of optical flow, i.e '2'D vector fields, as a custom class offering a number ...
Claudio S. Ravasio +2 more
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Detection of pedestrian and different types of vehicles using image processing [PDF]
International Journal of Research in Industrial Engineering, 2020 Nowadays, the control of the traffic in the urban roads and in the highway has been a big challenge as the number of increase in the auto mobiles. So to overcome this problem we use the detection and tracking the vehicles using the traffic surveillance ...
H. Herunde +3 more
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Современные информационные технологии и IT-образование, 2022 Multidimensional matrix algebra is a successful data model for problems from a variety of subject areas. Many authors have described hardware and software complexes that implement the algebra of multidimensional matrices in its entirety or parallel ...
Evgeniy I. Goncharov
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2D Simplified Wildfire Spreading Model in Python: From NumPy to CuPy
CLEI Electronic Journal, 2023 Wildfires are a problem of great interest in the world because of the damage they cause every year to forest, wild fauna and flora, an also threatening human lives, among others.
Daniel San Martin, Claudio Torres
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