Machine learning in computer vision: a review

AA Khan, AA Laghari, SA Awan - EAI Endorsed Transactions on …, 2021 - publications.eai.eu
INTRODUCTION: Due to the advancement in the field of Artificial Intelligence (AI), the ability
to tackle entire problems of machine intelligence. Nowadays, Machine learning (ML) is …

[图书][B] Synthetic data for deep learning

SI Nikolenko - 2021 - Springer
You are holding in your hands… oh, come on, who holds books like this in their hands
anymore? Anyway, you are reading this, and it means that I have managed to release one of …

A new modified-unet deep learning model for semantic segmentation

T Tiwari, M Saraswat - Multimedia Tools and Applications, 2023 - Springer
Segmentation of vehicles into images of road traffic with congested and unstructured traffic
patterns is a challenging task. For the same, this paper presents a modified-UNet which …

[HTML][HTML] Artificial neural networks for predicting food antiradical potential

V Gorbachev, M Nikitina, D Velina, S Mutallibzoda… - Applied Sciences, 2022 - mdpi.com
Using an artificial neural network (ANN), the values of the antiradical potential of 1315 items
of food and agricultural raw materials were calculated. We used an ANN with the structure of …

[HTML][HTML] Perineuronal Net Microscopy: From Brain Pathology to Artificial Intelligence

M Paveliev, AA Egorchev, F Musin, N Lipachev… - International Journal of …, 2024 - mdpi.com
Perineuronal nets (PNN) are a special highly structured type of extracellular matrix
encapsulating synapses on large populations of CNS neurons. PNN undergo structural …

Intelligent intrusion detection system for a group of UAVs

E Basan, M Lapina, N Mudruk, E Abramov - Advances in Swarm …, 2021 - Springer
Today, the creation of UAV groups is becoming a very popular and relevant task.
Nevertheless, the use of UAVs is not securely, since they are vulnerable not only to attacks …

Clinical acceptance of software based on artificial intelligence technologies (radiology)

SP Morozov, AV Vladzymyrskyy… - arXiv preprint arXiv …, 2019 - arxiv.org
Aim: provide a methodological framework for the process of clinical tests, clinical
acceptance, and scientific assessment of algorithms and software based on the artificial …

Sentiment analysis of posts and comments in the accounts of Russian politicians on the social network

K Svetlov, K Platonov - 2019 25th Conference of Open …, 2019 - ieeexplore.ieee.org
Russian politicians are increasingly using social networks publishing a lot of texts. One of
the important issues in the context of the analysis of political online communication is the …

Spectral-spatial methods for hyperspectral image classification. review

SM Borzov, OI Potaturkin - Optoelectronics, instrumentation and data …, 2018 - Springer
Various methods of spectral-spatial classification of hyperspectral data are reviewed. Papers
devoted to the most popular ways of using spatial information for increasing the accuracy of …

Whether be new “Winter” of artificial intelligence?

LN Yasnitsky - Integrated Science in Digital Age: ICIS 2019, 2020 - Springer
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