A hybrid Intelligent Document Processing (IDP) system based on Machine Learning that integrates computer vision through YOLOv8 for region-of-interest detection and a Large Language Model (Gemini 2.5 Flash API) for semantic validation and intelligent data recovery is proposed.
In this work, presented is a technical description of a software module for automating customer order processing in an industrial company. Analyzed is the finding that manual processing of unstructured orders takes twenty to forty minutes per document and leads to errors when matching against a catalog of four thousand...
Александр Александрович Ерофеев, A. N. Babkevich, M. Ozerova et al.· International Conference on...· 0 citations
An end-to-end assignment verification system that uses computer vision and natural language processing to handle various complex types of modern academic documents that uses multi-scale convolutional neural networks to capture writing and layout features and an adaptive cross-modal fusion mechanism.
Yufei Ye, Wenyao Cao, Zerong Huang et al.· International Conference on...· 0 citations
An outline of the evolution of NLP-based text classification methods from initial machine learning methods such as Naïve Bayes and Support Vector Machines to current sophisticated deep learning algorithms such as Convolutional Neural Networks, Recurrent Neural Networks, and Transformers is offered.
Jenifer Mchory, Kelvin Kabeti Omieno, Collins Odoyo et al.· Engineering and Technology J...· 0 citations
This research aimed to develop and evaluate a machine learning model to optimize the hiring process of engineering professionals at a public university by reducing evaluation time, errors, and subjectivity in CV screening. A quantitative, applied, quasi-experimental approach was used, combining TF-IDF natural language...
José Antonio Ogosi-Auqui, Jorge Lira-Camargo, César León-Velarde et al.· DYNA· 0 citations
E EduAssist, an experimental framework for evaluating a locally deployed Qwen3:1.7B model for educational document summarization, provides exploratory empirical evidence for the feasibility of local educational document summarization using the evaluated Qwen3:1.7B configuration while highlighting the need for larger da...
Mohammed Afzal, Shifa Tahreem· International Journal of Eng...· 0 citations
The research results indicate that the UiPath Document Understanding system is capable of integrating AI, OCR, and Robotic Process Automation (RPA) technologies into a single automated workflow that is able to improve time efficiency, data accuracy, and reduce human errors in the banking document management process.
Bening Khoirun Nisak, Nabila Nur Hanifah, P. Apriliana et al.· 0 citations
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