Research on Multi-Scale CNN and Transformer-Based Multi-Level Multi-Classification Method for Images

Autor: Quandeng Gou, Yuheng Ren

Publikováno v: IEEE Access, Vol 12, Pp 103049-103059 (2024)

With the vigorous development of digital creativity, the image data generated by it has exploded. To effectively manage massive image data, multi-level and multi-classification management of images has become very necessary. However, the existing hie

Externí odkaz: https://doaj.org/article/cd6f9e54053642c0b392b66494a62201

In vivo assessment of structural changes of the urethra in lower urinary tract disease using cross-polarization optical coherence tomography

Autor: Elena B. Kiseleva, Alexander A. Moiseev, Anton S. Kuyarov, Muhammat A. Molvi, Grigory V. Gelikonov, Anna V. Maslennikova, Olga S. Streltsova

Publikováno v: Journal of Innovative Optical Health Sciences, Vol 13, Iss 6, Pp 2050024-1-2050024-16 (2020)

The paper presents the results of a study of the female urethra in cases of urethral pain syndrome (UPS) and inflammatory diseases of the lower urinary tract using cross-polarization optical coherence tomography (CP OCT). Urethral wall structure was

Externí odkaz: https://doaj.org/article/c1278e9fff3940deaa1873a5acaa4de6

A priori imaginace

Autor: Mikel Dufrenne

Publikováno v: Acta Universitatis Carolinae: Philosophica et Historica, Vol 2015, Iss 2, Pp 81-89 (2016)

In this article, Dufrenne argues that imagination need not be only the subjective capacity to invent the unreal (dreams, fantasies), but that it is actually capable of revealing images that bring human beings closer to the hidden plenitude of Nature.

Externí odkaz: https://doaj.org/article/148ac8ed10054f31b10f308da61b4d9e

IMPLEMENTATION OF IMAGE CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORK (CNN) ALGORITHM ON VEHICLES IMAGES

Autor: Nurhadi, Muhammad, Purnomo, Joko

Publikováno v: ASEAN Journal of Systems Engineering; Vol 6, No 1 (2022): ASEAN Journal of Systems Engineering; 1-5

The use of surveillance cameras for most agencies only relies on video recordings and storing them for a certain time. The use of this surveillance camera can be applied to determine the type of vehicle even if the camera is not in the right position

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::348c3efb2af83394c741bbfdfd2a7f19
https://doi.org/10.22146/ajse.v6i1.72411

Використання нейронної мережі у другій ступені ансамбльового класифікатора для підвищення якості класифікації об'єктів на зображеннях

Publikováno v: Eastern-European Journal of Enterprise Technologies; Vol. 3 No. 9 (117) (2022): Information and controlling system; 15-21
Eastern-European Journal of Enterprise Technologies; Том 3 № 9 (117) (2022): Інформаційно-керуючі системи; 15-21

Object recognition in images is used in many areas of practical use. Very often, progress in its application largely depends on the ratio of the quality of object recognition and the required amount of calculations. Recent advances in recognition are

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=scientific_p::36025f2f39777a9d9d9dffdd37adeb78
http://journals.uran.ua/eejet/article/view/258187