Results 61 to 70 of about 682 (182)
Identifying Going Concern Audit Opinions Using Supervised Machine Learning
Intelligent 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
Working with batches of PDF files
The Programming Historian, 2020 Learn how to perform OCR and text extraction with free command line tools like Tesseract and Poppler and how to get an overview of large numbers of PDF documents using topic modeling.
Moritz Mähr
doaj
Вісник 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
The Future of AI in the GCC Post‐NPM Landscape: A Comparative Analysis of Kuwait and the UAE
Politics &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
WIREs Computational Molecular Science, Volume 15, Issue 5, September/October 2025.This study presents an innovative automated KNIME workflow that integrates document parsing tools and large language models (LLMs) to streamline the extraction of key data from publications. Demonstrating high accuracy, the method enhances data processing efficiency and access, thereby supporting advancements in toxicological research and beyond ...
José Teófilo Moreira‐Filho +12 more
wiley +1 more source
Optical Character Recognition Using Active Contour Segmentation
Journal 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
Conservation Science and Practice, Volume 7, Issue 9, September 2025.The topics present among statements of the intended outcome of threat mapping research. Abstract There are often mismatches between the needs of decision makers and the outputs of scientific research, limiting the potential for conservation actions to be evidence‐based.
Francesca A. Ridley +5 more
wiley +1 more source
Custom OCR for Identity Documents:OCRXNet
Aptisi Transactions on Technopreneurship, 2020 Recent advancements in the area of Optical Character Recognition (OCR) using deep learning techniques made it possible to use for real world applications with good accuracy. In this paper we present a system named as OCRXNet.
Kawal Arora +3 more
doaj +1 more source
Jurnal 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
Кібербезпека: освіта, наука, технікаУ 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