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Výsledek výzkumu

Toolchain for NN dataset management

The result is a software toolchain designed for the management of datasets used in the training and evaluation of neural networks on embedded platforms. It provides sensors. The toolchain supports cloud-based acces...

Electrical and electronic engineering

  • 2025
  • R
  • Odkaz
Výsledek výzkumu

SYDAGenerator 2 - Advanced tool for generating datasets using a 3D object

To train classification algorithms, it is necessary to have suitable datasets and sufficient computing power. When training neural networks, it is necessary to have data for creating software for generatin...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2020
  • R
  • Odkaz
Výsledek výzkumu

Functional sample of the robotic platform

. The platform uses AI methods (combination of convolutional neural networks and deep of large training datasets (taking many images of the product from different points of view) The created datasets<...

Robotics and automatic control

  • 2021
  • Gfunk
  • Odkaz
Výsledek výzkumu

Numerical modelling enables faster train weighing without an expensive infrastructure

significantly expand datasets, leading to more accurate and efficient neural network of developing a new train weighing system to overcome existing systems’ technical revize were looking for a solution th...

Computer and information sciences

  • 2024
  • O
  • Odkaz
Výsledek výzkumu

Denoise pre-training for segmentation neural networks

This paper proposes a method for pre-training segmentation neural networks on small datasets using unlabelled training data with added noise. The pre-training process helps the network wi...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2019
  • D
Výsledek výzkumu

Model Design Research Plan for Warehouse Barcode Image Recognition in Smart Systems

collection, dataset compilation, selection of a suitable neural network model, network training, validation, and optimization, and finally, testing the model on a test approaches and present a research pl...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2023
  • D
  • Odkaz
Výsledek výzkumu

Fundamentals of Deep Learning using MultiGPUs

The computational requirements of deep neural networks used to enable AI applications like self-driving cars are enormous. A single training cycle can take weeks on a single GPU or even years for larger dataset...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2022
  • O
  • Odkaz
Výsledek výzkumu

Simulation Environment for Neural Network Dataset Generation

We present a simulation setup in the robot simulation software CoppeliaSim which is used for a synthetic dataset generation for training the neural network describing different detectable classes ...

Robotics and automatic control

  • 2022
  • D
  • Odkaz
Výsledek výzkumu

Semi-automatic Facial Key-Point Dataset Creation

for the purpose of training a neural network. The images from the AAM are then re-annotated by the neural network and used to validate the precision of the proposed neural network detect...

Automation and control systems

  • 2017
  • D
  • Odkaz
Výsledek výzkumu

Fundamentals of Deep Learning for Multi-GPUs (PTC Course)

The computational requirements of deep neural networks used to enable AI applications like self-driving cars are enormous. A single training cycle can take weeks on a single GPU or even years for larger dataset...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2020
  • O
  • Odkaz
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