Showing items with similar title or keywords.

• Hyper-flexible Convolutional Neural Networks based on Generalized Lehmer and Power Means 

  Terziyan, Vagan; Malyk, Diana; Golovianko, Mariia; Branytskyi, Vladyslav (Elsevier, 2022)

  Convolutional Neural Network is one of the famous members of the deep learning family of neural network architectures, which is used for many purposes, including image classification. In spite of the wide adoption, such ...

• Simple Muscle Architecture Analysis (SMA) : An ImageJ macro tool to automate measurements in B-mode ultrasound scans 

  Seynnes, Oliver R.; Cronin, Neil J. (Public Library of Science, 2020)

  In vivo measurements of muscle architecture (i.e. the spatial arrangement of muscle fascicles) are routinely included in research and clinical settings to monitor muscle structure, function and plasticity. However, in most ...

• Domain‐specific neural networks improve automated bird sound recognition already with small amount of local data 

  Lauha, Patrik; Somervuo, Panu; Lehikoinen, Petteri; Geres, Lisa; Richter, Tobias; Seibold, Sebastian; Ovaskainen, Otso (Wiley-Blackwell, 2022)

  An automatic bird sound recognition system is a useful tool for collecting data of different bird species for ecological analysis. Together with autonomous recording units (ARUs), such a system provides a possibility to ...

• Causality-Aware Convolutional Neural Networks for Advanced Image Classification and Generation 

  Terziyan, Vagan; Vitko, Oleksandra (Elsevier, 2023)

  Smart manufacturing uses emerging deep learning models, and particularly Convolutional Neural Networks (CNNs) and Generative Adversarial Networks (GANs), for different industrial diagnostics tasks, e.g., classification, ...

• Using deep learning to generate synthetic B-mode musculoskeletal ultrasound images 

  Cronin, Neil J.; Finni, Taija; Seynnes, Olivier (Elsevier, 2020)

  Background and Objective Deep learning approaches are common in image processing, but often rely on supervised learning, which requires a large volume of training images, usually accompanied by hand-crafted labels. As ...