A document image classification system fusing deep and machine learning models
Artificial Intelligence (AI) technologies are now widely employed to overcome human-
induced faults in a variety of systems used in our daily lives, thanks to the digital …
induced faults in a variety of systems used in our daily lives, thanks to the digital …
Document image classification with vision transformers
Document image classification has received huge interest in business automation
processes. Therefore, document image classification plays an important role in the …
processes. Therefore, document image classification plays an important role in the …
Improving accuracy of document image classification through soft voting ensemble
Abstract Convolutional Neural Networks (CNNs) work well on document image classification
tasks, yielding prediction accuracies comparable to state of the art neural networks. In this …
tasks, yielding prediction accuracies comparable to state of the art neural networks. In this …
DIGITIZED DOCUMENT CLASSIFICATION USING MACHINE AND DEEP LEARNING A SURVEY
AVM Varman, AN Sigappi - INTERNATIONAL JOURNAL OF …, 2024 - lib-index.com
The digital transformation has led to a widespread application of artificial intelligence (AI)
technology to overcome human-induced errors in a range of systems utilized in our daily …
technology to overcome human-induced errors in a range of systems utilized in our daily …
A comparison between Feed-forward and Convolutional Neural Networks for classification of invoice documents
E Svensson - 2022 - diva-portal.org
Filing invoices under booking accounts can be a time-consuming task that could be
alleviated by machine learning algorithms. There are two possible main methods for an …
alleviated by machine learning algorithms. There are two possible main methods for an …
[PDF][PDF] Cardiac Arrhythmia Screening System.
EA AL-Saidi - … Electronic Comprehensive Journal For Education & …, 2022 - mecsj.com
Cardiac arrhythmia can lead to a sudden cardiac death. Hand-engineered features based
arrhythmia classification systems are usually time consuming. In this paper, we propose an …
arrhythmia classification systems are usually time consuming. In this paper, we propose an …