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 …
Cross lingual handwritten character recognition using long short term memory network with aid of elephant herding optimization algorithm
NS Guptha, V Balamurugan, G Megharaj… - Pattern Recognition …, 2022 - Elsevier
In the recent decades, the handwritten character recognition is still a challenging process in
the pattern recognition field. The handwritten digits and characters are not always of the …
the pattern recognition field. The handwritten digits and characters are not always of the …
Modified Vgg deep learning architecture for Covid-19 classification using bio-medical images
The world encountered a deadly disease by the beginning of 2020, known as the
coronavirus disease (COVID-19). Among the different screening techniques available for …
coronavirus disease (COVID-19). Among the different screening techniques available for …
Systolic optimized adaptive filter architecture designs for ECG noise cancellation by Vertex-5
S Jayapoorani, D Pandey, NS Sasirekha, R Anand… - Aerospace …, 2023 - Springer
The adaptive sign least mean square (SLMS) filter may change dynamically depending on
the filter output. Noise cancellation is one of the most common adaptive filter applications. In …
the filter output. Noise cancellation is one of the most common adaptive filter applications. In …
Accuracy Comparison of Neural Models for Spelling Correction in Handwriting OCR Data
In the present scenario, Handwriting Recognition (HWR) plays a very important role as due
to current pandemic situations most of the exams are conducted in online mode. In HWR the …
to current pandemic situations most of the exams are conducted in online mode. In HWR the …
[HTML][HTML] Extended morphological profiles analysis of airborne hyperspectral image classification using machine learning algorithms
When morphological capabilities are used for the class of high decision hyperspectral
photographs from metropolitan areas, one must not forget two crucial problems. Among …
photographs from metropolitan areas, one must not forget two crucial problems. Among …
[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 …
Modified VGG deep-learning architecture for COVID-19 classification using chest radiography images
Background: The world faced a deadly disease encounter by the starting of 2020, known as
coronavirus disease 2019 (COVID-19). Due to the rapid increase in the counts of COVID …
coronavirus disease 2019 (COVID-19). Due to the rapid increase in the counts of COVID …
Deep learning models for fire detection using surveillance cameras in public places
S Sanjana, A Premkumar, CK Sneha… - 2022 13th …, 2022 - ieeexplore.ieee.org
In a world led by automation and robotics, an exposed wiring, an overloaded outlet, or a
single spark of electricity is capable of inducing a fire. Fire threats are one of the most …
single spark of electricity is capable of inducing a fire. Fire threats are one of the most …
Newfangled 3d human pose estimation using MediaPipe with foreground object detection
A Raju, M Mahendiran, SS Ahmed - AIP Conference Proceedings, 2022 - pubs.aip.org
Human pose assessment from video plays an important role in various applications such as
measuring physical exercises, sign language recognition and full body gesture control. For …
measuring physical exercises, sign language recognition and full body gesture control. For …