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Efficient automated processing of the unstructured documents using artificial intelligence: A systematic literature review and future directions
The unstructured data impacts 95% of the organizations and costs them millions of dollars
annually. If managed well, it can significantly improve business productivity. The traditional …
annually. If managed well, it can significantly improve business productivity. The traditional …
Exploring AI-driven approaches for unstructured document analysis and future horizons
In the current industrial landscape, a significant number of sectors are grappling with the
challenges posed by unstructured data, which incurs financial losses amounting to millions …
challenges posed by unstructured data, which incurs financial losses amounting to millions …
A survey on various optical character recognition techniques
AM Sabu, AS Das - 2018 conference on emerging devices and …, 2018 - ieeexplore.ieee.org
This paper gives various optical character recognition techniques that is used for various
character recognition. Optical character recognition is a technique in which a scanned …
character recognition. Optical character recognition is a technique in which a scanned …
A comparison of deep transfer learning backbone architecture techniques for printed text detection of different font styles from unstructured documents
Object detection methods based on deep learning have been used in a variety of sectors
including banking, healthcare, e-governance, and academia. In recent years, there has …
including banking, healthcare, e-governance, and academia. In recent years, there has …
Handwriting character recognition Javanese letters based on artificial neural network
Javanese character is one of Indonesia's cultural heritages that must be preserved.
Manuscript form of the Javanese character is one of the priceless inheritances. Javanese …
Manuscript form of the Javanese character is one of the priceless inheritances. Javanese …
Supervised machine learning in intelligent character recognition of handwritten and printed nameplate
We are in the midst of a revolution, digital revolution which is primarily responsible for the
advancements in various computing fields. There is a greater need for smart devices …
advancements in various computing fields. There is a greater need for smart devices …
The Design of a C1 Document Data Extraction Application Using a Tesseract-Optical Character Recognition Engine
IA Nugroho, BH Susanti, MW Ardyani… - Jurnal RESTI (Rekayasa …, 2024 - jurnal.iaii.or.id
The 2019 election process used the Vote Counting Information System, also known as
Sistem Informasi Penghitungan Suara (Situng), to provide transparency in the recapitulation …
Sistem Informasi Penghitungan Suara (Situng), to provide transparency in the recapitulation …
Vision sensory substitution to aid the blind in reading and object recognition
Vision Sensory Substitution is a non-invasive rehabilitating procedure for the blind, which
provides visual information to them via any of their functioning senses. In this paper, the …
provides visual information to them via any of their functioning senses. In this paper, the …
Effect of hyperparameters on backpropagation
A Jaisswal, A Naik - 2021 ieee pune section international …, 2021 - ieeexplore.ieee.org
In machine learning algorithms, parameters and hy-perparameters are important properties
in the training process. Parameters are modified through machine learning algorithms while …
in the training process. Parameters are modified through machine learning algorithms while …
[PDF][PDF] A bibliometric survey on cognitive document processing
Heterogenous and voluminous unstructured data is produced from various sources like
emails, social media tweets, reviews, videos, audio, images, PDFs, scanned documents, etc …
emails, social media tweets, reviews, videos, audio, images, PDFs, scanned documents, etc …