Automatic diagnosis of skin diseases using convolution neural network
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 …
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 …
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 …
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 …
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 …
constituents. Palm leaf manuscripts were a versatile medium for narrating medicines …
Road accident detection and severity determination from CCTV surveillance
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 …
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 …
their strong hygroscopic properties, Palm Leaf Manuscripts are particularly susceptible to …
Comparative Study of Deep Learning models to Recognize Palm Leaf Malayalam Characters
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 …
South Asian countries. These texts have suffered damage over many years and centuries …
Fabric defect detection and classification using modified VGG network
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 …
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
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 …
break requires lot of testing, which is a tedious process. Deep learning is a successful …