Nowadays, the characterization of a computing system using attributes like" single core" is, for most applications, deprecated. Multiprocessor or multi-core platforms are, now …
The Neuroscience domain stands out from the field of sciences for its dependence on the study and characterization of complex, intertwining structures. Understanding the complexity …
AM Vulcan, M Nicolae - 2017 21st International Conference on …, 2017 - ieeexplore.ieee.org
High Performance Computing (HPC) facilities serve as infrastructure for solving demanding computational problems met in various domains. HPC involves expensive resources both …
M Nicolae, AM Vulcan - 2019 22nd International Conference on …, 2019 - ieeexplore.ieee.org
Many domains like deep learning, machine learning, and computational finance uses Graphical Processing Units (GPUs) for decreasing the execution time. GPUs are widely …
This paper focuses on the compression based clustering and aims to determine the most suitable combinations of algorithms for different clustering contexts (text, heterogeneous …
AM Vulcan, M Nicolae - 2017 21st International Conference on …, 2017 - ieeexplore.ieee.org
With the rapid increase of image sensors resolution, some pressure moved on compression algorithms again. Fractal compression is known to provide good performance in terms of …
In this sample paper you can find information regarding the study of human interaction with a computer application that manipulates massive amount of information in real-time. Here are …
E Pop, MA Moisescu, IS Sacala - 2017 21st International …, 2017 - ieeexplore.ieee.org
The mobile and wireless networks used extensively by Internet of Things devices, are becoming more popular for data transfer between Cyber-Physical Systems. These are …
Image segmentation is a branch of the image processing domain which involves partitioning the image into multiple segments referred to as sets of pixels. The segmentation purpose is …