Zobrazeno 1 - 10
of 89
pro vyhledávání: '"Dmitry V. Dylov"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract We propose a sparse computation method for optimizing the inference of neural networks in reinforcement learning (RL) tasks. Motivated by the processing abilities of the brain, this method combines simple neural network pruning with a delta-
Externí odkaz:
https://doaj.org/article/4e5a57a963d04194825a40aa58d5e8a9
Autor:
Alexander Selivanov, Oleg Y. Rogov, Daniil Chesakov, Artem Shelmanov, Irina Fedulova, Dmitry V. Dylov
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract The proposed model for automatic clinical image caption generation combines the analysis of radiological scans with structured patient information from the textual records. It uses two language models, the Show-Attend-Tell and the GPT-3, to
Externí odkaz:
https://doaj.org/article/bad6e9a22e7941d9be07f32e4cc27e88
Publikováno v:
IEEE Access, Vol 11, Pp 85214-85223 (2023)
State-of-the-art object detection models are frequently trained offline using available datasets, such as ImageNet: large and overly diverse data that are unbalanced and hard to cluster semantically. This kind of training drops the object detection p
Externí odkaz:
https://doaj.org/article/721ffce0e9c24fefb896de779a975077
Publikováno v:
IEEE Access, Vol 11, Pp 14154-14168 (2023)
Image quality assessment (IQA) algorithms aim to reproduce the human’s perception of the image quality. The growing popularity of image enhancement, generation, and recovery models instigated the development of many methods to assess their performa
Externí odkaz:
https://doaj.org/article/8fc5b1b4524f4bb6b7568c796739ccd9
Publikováno v:
IEEE Access, Vol 10, Pp 117757-117769 (2022)
We propose the first data augmentation method based on optimal transport theory, with the generated data being guaranteed to belong to the original data manifold. The proposed algorithm randomly samples a clique in the nearest-neighbors graph represe
Externí odkaz:
https://doaj.org/article/5a5cf4b53df344e69d2ce8c6c60829ba
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract Clinical examination of three-dimensional image data of compound anatomical objects, such as complex joints, remains a tedious process, demanding the time and the expertise of physicians. For instance, automation of the segmentation task of
Externí odkaz:
https://doaj.org/article/facf56d5699a455aaece8a3512fb8e38
Publikováno v:
IEEE Access, Vol 9, Pp 118571-118583 (2021)
Anomaly detection is the problem of recognizing abnormal inputs based on the seen examples of normal data. Despite recent advances of deep learning in recognizing image anomalies, these methods still prove incapable of handling complex images, such a
Externí odkaz:
https://doaj.org/article/da7f43a5a63a400aa4b61e275b9617a4
Publikováno v:
Membranes, Vol 12, Iss 6, p 574 (2022)
Single cell microinjection provides precise tuning of the volume and timing of delivery into the treated cells; however, it also introduces workflow complexity that requires highly skilled operators and specialized equipment. Laser-based microinjecti
Externí odkaz:
https://doaj.org/article/83642ae0f0f94b758bb48cdf4acffc63
Autor:
Allen L. Garner, V. Bogdan Neculaes, Maxim Deminsky, Dmitry V. Dylov, Chulmin Joo, Evelina R. Loghin, Siavash Yazdanfar, Kenneth R. Conway
Publikováno v:
Biochemistry and Biophysics Reports, Vol 5, Iss C, Pp 168-174 (2016)
Calculations indicate that selectively heating the extracellular media induces membrane temperature gradients that combine with electric fields and a temperature-induced reduction in the electropermeabilization threshold to potentially facilitate exo
Externí odkaz:
https://doaj.org/article/82cfa840e2e8466b9986edbd9b6db589
Autor:
Aleksandr Talitckii, Ekaterina Kovalenko, Aleksei Shcherbak, Anna Anikina, Ekaterina Bril, Olga Zimniakova, Maxim Semenov, Dmitry V. Dylov, Andrey Somov
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 71:1-10