Automatic diagnosis of skin diseases using convolution neural network

T Shanthi, RS Sabeenian, R Anand - Microprocessors and Microsystems, 2020 - Elsevier
Skin diseases are becoming a most common health issues among all the countries
worldwide. The method proposed in this work detects four types of skin diseases using …

A comparative analysis of deep neural network architectures for the dynamic diagnosis of COVID‐19 based on acoustic cough features

G Sunitha, R Arunachalam… - … Journal of Imaging …, 2022 - Wiley Online Library
The study aims to assess the detection performance of a rapid primary screening technique
for COVID‐19 that is purely based on the cough sound extracted from 2200 clinically …

Ancient character recognition: a comprehensive review

R Krithiga, SR Varsini, RG Joshua, CUO Kumar - IEEE Access, 2023 - ieeexplore.ieee.org
Deep learning-based character recognition of Tamil inscriptions plays a significant role in
preserving the ancient Tamil language. The complexity of the task lies in the precise …

Modified convolutional neural network with pseudo-CNN for removing nonlinear noise in digital images

E Paul, RS Sabeenian - Displays, 2022 - Elsevier
Recently, deep learning techniques are widely used in various computer vision applications
such as pattern recognition, data classification, object detection, image enhancement, etc …

[Retracted] A Deep Learning Approach for Recognizing the Cursive Tamil Characters in Palm Leaf Manuscripts

G Devi S, S Vairavasundaram… - Computational …, 2022 - Wiley Online Library
Tamil is an old Indian language with a large corpus of literature on palm leaves, and other
constituents. Palm leaf manuscripts were a versatile medium for narrating medicines …

Road accident detection and severity determination from CCTV surveillance

S Veni, R Anand, B Santosh - Advances in Distributed Computing and …, 2021 - Springer
Wide variety of road types like intersections, highways poses a real challenge to the
computer vision algorithms. Hence, there is a need of efficient algorithm to detect the …

[HTML][HTML] Study on the Effects of Temperature and Relative Humidity on the Hygroscopic Properties of Palm Leaf Manuscripts

W Zhang, S Wang, H Guo - Forests, 2024 - mdpi.com
Palm Leaf Manuscripts are an invaluable part of the cultural heritage of the world. Due to
their strong hygroscopic properties, Palm Leaf Manuscripts are particularly susceptible to …

Comparative Study of Deep Learning models to Recognize Palm Leaf Malayalam Characters

R Sivan, S Palaniswamy, PB Pati - 2022 6th International …, 2022 - ieeexplore.ieee.org
Palm-leaf manuscripts are historical records written mainly in many local languages in many
South Asian countries. These texts have suffered damage over many years and centuries …

Fabric defect detection and classification using modified VGG network

RS Sabeenian, E Paul, C Prakash - The Journal of The Textile …, 2023 - Taylor & Francis
Fabrics and garments are some of the most important utilitarian items for human beings. The
textile industry is rapidly growing with various fabric models and different attractive designs …

[HTML][HTML] Detection and identification of COVID-19 based on chest medical image by using convolutional neural networks

JV Pranav, R Anand, T Shanthi, K Manju, S Veni… - International Journal of …, 2020 - Elsevier
Covid-19 pandemic has caused major out-break all around the world. This pandemic out-
break requires lot of testing, which is a tedious process. Deep learning is a successful …