Results 61 to 70 of about 728 (182)

ДОСЛІДЖЕННЯ СУМІСНОГО ВИКОРИСТАННЯ МАТЕМАТИЧНОЇ МОРФОЛОГІЇ ТА ЗГОРТКОВИХ НЕЙРОННИХ МЕРЕЖ ДЛЯ ВИРІШЕННЯ ЗАДАЧІ РОЗПІЗНАВАННЯ ЦІННИКІВ

open access: yesВісник Національного технічного університету "ХПÌ": Системний аналіз, управління та інформаційні технології, 2020
Робота присвячена вирішенню задачі розпізнавання зображень, що містять інформацію символьного типу, штрих коди, логотипи, або інші знаки. Прикладом таких зображень є цінники в торговельних центрах, флаєра, запрошення, білети на різні заходи.
Andrii Kovtunenko   +3 more
doaj   +1 more source

Advertisement Image Classification—Visual (RESNET) Versus Textual (BERT) Features: An Experimental Study

open access: yesEngineering Reports, Volume 7, Issue 12, December 2025.
This experimental study compares Visual features with Textual features for advertisement image classification and reveals that for Advertisement Images, Textual Features provide superior image understanding, resulting in significantly higher classification accuracies (96.88% to 97.37%) as compared to the highest classification accuracy of 71.41 ...
Pooja Jain   +3 more
wiley   +1 more source

Language transition on temple inscriptions using Tesseract OCR and T5 model [PDF]

open access: yesPeerJ Computer Science
Translating ancient languages like Sanskrit poses significant challenges in Natural Language Processing (NLP) due to its complex morphology, low-resource status, and script variations.
Lakshmi Revathi Krosuri   +1 more
doaj   +2 more sources

Identifying Going Concern Audit Opinions Using Supervised Machine Learning

open access: yesIntelligent Systems in Accounting, Finance and Management, Volume 32, Issue 4, December 2025.
ABSTRACT This paper evaluates the use of supervised machine learning to automatically identify going concern–modified audit reports. Models based on two different classifiers—logistic regression and extreme gradient boosting—achieve strong classification performance for this task.
Dennis Hedback
wiley   +1 more source

Optical Character Recognition Using Active Contour Segmentation

open access: yesJournal of Engineering, 2018
Document analysis of images snapped by camera is a growing challenge. These photos are often poor-quality compound images, composed of various objects and text; this makes automatic analysis complicated.
Nabeel Oudah   +2 more
doaj   +2 more sources

The Future of AI in the GCC Post‐NPM Landscape: A Comparative Analysis of Kuwait and the UAE

open access: yesPolitics &Policy, Volume 53, Issue 6, December 2025.
ABSTRACT Comparative evidence of how two Gulf Cooperation Council (GCC) states translate artificial intelligence (AI) ambitions into post–New Public Management (post‐NPM) outcomes are scarce because most studies focus on Western democracies. To fill this gap, we examine constitutional, collective choice, and operational rules that shape AI uptake in ...
Mohammad Rashed Albous   +2 more
wiley   +1 more source

The tesseract in two dimensional materials, a DFT approach

open access: yesRSC Advances, 2020
The tesseract contained 2D material, C 24 Se 12 , is an effective molecular sieve with high selectivity to recover helium from natural gas under ambient conditions.
Long Zhou   +4 more
openaire   +3 more sources

The Design of a C1 Document Data Extraction Application Using a Tesseract-Optical Character Recognition Engine

open access: yesJurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
The 2019 election process used the Vote Counting Information System, also known as Sistem Informasi Penghitungan Suara (Situng), to provide transparency in the recapitulation process.
Ircham Aji Nugroho   +3 more
doaj   +1 more source

ЗАСТОСУВАННЯ НЕЙРОННИХ МЕРЕЖ ДЛЯ АВТОМАТИЗОВАНОГО РОЗПІЗНАВАННЯ ТЕКСТУ ТА СИМВОЛІВ У ЗАДАЧАХ КІБЕРБЕЗПЕКИ

open access: yesКібербезпека: освіта, наука, техніка
У цій роботі представлено розробку та дослідження системи оптичного розпізнавання тексту (OCR) для низькоякісних зображень із застосуванням методів машинного навчання.
Наталія Чернящук
doaj   +1 more source

BUSCA DE PALAVRAS CHAVE EM IMAGENS DE LIVROS IMPRESSOS USANDO VISÃO COMPUTACIONAL

open access: yesColloquium Exactarum, 2021
Com o uso cada vez mais frequente de livros no formato digital, as pessoas buscam os assuntos desejados de uma maneira mais rápida, se comparado à busca em livros impressos.
Felipe Peruchi Simões   +6 more
doaj  

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