A document image classification system fusing deep and machine learning models

SI Omurca, E Ekinci, S Sevim, EB Edinç, S Eken… - Applied …, 2023 - Springer
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 …

Document image classification with vision transformers

S Sevim, Sİ Omurca, E Ekinci - International Congress of Electrical and …, 2022 - Springer
Document image classification has received huge interest in business automation
processes. Therefore, document image classification plays an important role in the …

Improving accuracy of document image classification through soft voting ensemble

S Sevim, SI Omurca, E Ekinci - The International Conference on Artificial …, 2021 - Springer
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 …

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 …

[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 …