A comprehensive review on smart health care: applications, paradigms, and challenges with case studies

S Saba Raoof, MAS Durai - Contrast Media & Molecular …, 2022 - Wiley Online Library
Growth and advancement of the Deep Learning (DL) and the Internet of Things (IoT) are
figuring out their way over the modern contemporary world through integrating various …

Tulu Language Text Recognition and Translation

AP Rodrigues, P Vijaya, R Fernandes - IEEE Access, 2024 - ieeexplore.ieee.org
Language is a primary means of communication, but it is not the only means; knowing a
language does, however, assist speed up the process. Many distinct languages are spoken …

An Intelligent Telugu Handwritten Character Recognition Using Multi-Objective Mayfly Optimization with Deep Learning–Based DenseNet Model

VK Sonthi, KN - ACM Transactions on Asian and Low-Resource …, 2023 - dl.acm.org
The handwritten character recognition process has gained significant attention among
research communities due to its application in assistive technologies for visually impaired …

Enhancing Asian Indigenous Language Processing through Deep Learning-based Handwriting Recognition and Optimization Techniques

A Manimaran, MH Syed, MS Kumar… - ACM Transactions on …, 2024 - dl.acm.org
Asian indigenous language or autochthonous language is a language which is native to a
region and spoken by indigenous people in Asia. This language is a linguistically different …

A comparative vggnet and densenet approaches to recognize malayalam characters using transfer learning techniques

BJB Nair, A Mohan - 2022 Sixth International Conference on I …, 2022 - ieeexplore.ieee.org
Transfer Learning has become the pillar of the future when it comes to character recognition.
It brought improvements in one of the south Indian languages as Malayalam. The …

[PDF][PDF] Automated Telugu printed and handwritten character recognition in single image using Aquila Optimizer based deep learning model

VK Sonthi, S Nagarajan, N Krishnaraj - International Journal of …, 2021 - academia.edu
Machine printed or handwritten character recognition becomes a major research topic in
several real time applications. The recent advancements of deep learning and image …

Localization of Pointed-At Word in Printed Documents via a Single Neural Network

R Zhao, X Zheng, Z Ying, L Fan - IEICE TRANSACTIONS on …, 2022 - search.ieice.org
Most existing object detection methods and text detection methods are mainly designed to
detect either text or objects. In some scenarios where the task is to find the target word …

[PDF][PDF] Review of offline handwritten text recognition in south Indian languages

AT Anju, BP Chacko, KPM Basheer - Malaya Journal of …, 2021 - malayajournal.org
Review of offline handwritten text recognition in south Indian languages Page 1 Malaya Journal
of Matematik, Vol. 9, No. 1, 751-756, 2021 https://doi.org/10.26637/MJM0901/0132 Review of …

Transfer and Deep Learning‐Based Gurmukhi Handwritten Word Classification Model

TP Singh, S Gupta, M Garg, A Verma… - Mathematical …, 2023 - Wiley Online Library
The world is having a vast collection of text with abandon of knowledge. However, it is a
difficult and time‐taking process to manually read and recognize the text written in numerous …

A Review on Automated Annotation System for Document Text Images

A Deepa, B Srija, M Jabeen, KR Kankar… - … on Cognitive, Green …, 2024 - ieeexplore.ieee.org
Automated Annotation Systems for text play a crucial role in automatically adding descriptive
metadata or labels to textual data. Over recent years, there has been a notable surge in …