Detection of Severe Lung Infection on Chest Radiographs of COVID-19 Patients: Robustness of AI Models across Multi-Institutional Data
The diagnosis of severe COVID-19 lung infection is important because it carries a higher risk
for the patient and requires prompt treatment with oxygen therapy and hospitalization while …
for the patient and requires prompt treatment with oxygen therapy and hospitalization while …
Modeling PolSAR classification using convolutional neural network with homogeneity based kernel selection
Abstract Synthetic Aperture Radar (SAR) data interpretation is a well-covered study in
remote sensing for various applications. The scattering information obtained by SAR data …
remote sensing for various applications. The scattering information obtained by SAR data …
A Heuristic Machine Learning‐Based Optimization Technique to Predict Lung Cancer Patient Survival
S Kukreja, M Sabharwal, MA Shah… - Computational …, 2023 - Wiley Online Library
Cancer has been a significant threat to human health and well‐being, posing the biggest
obstacle in the history of human sickness. The high death rate in cancer patients is primarily …
obstacle in the history of human sickness. The high death rate in cancer patients is primarily …
FPGA based CNN accelerator for high-speed biomedical application
The rise in visual dataset generation has necessitated the recent advancements in the field
of Deep Neural Networks (DNNs). Application domains like biomedical imaging require a …
of Deep Neural Networks (DNNs). Application domains like biomedical imaging require a …
An IoMT-based Federated Learning Survey in Smart Transportation
GV Karnam, PKR Maddikunta - Recent Advances in Computer …, 2024 - ingentaconnect.com
Internet of Medical Things (IoMT) is a technology that encompasses medical devices,
wearable sensors, and applications connected to the Internet. In road accidents, it plays a …
wearable sensors, and applications connected to the Internet. In road accidents, it plays a …
Design and Implementation of Mobile Application for CNN-Based EEG Identification of Autism Spectrum Disorder.
Autism spectrum disorder (ASD) is a disorder of the nervous system from birth and during
infancy. This disorder affects children's development, making it difficult for nerve function to …
infancy. This disorder affects children's development, making it difficult for nerve function to …
Diabetic Retinopathy Detection Using Convolutional Neural Network
Y Wankhede, P Shinde, S Naik, R Raut… - 2023 7th International …, 2023 - ieeexplore.ieee.org
In persons with diabetes, diabetic retinopathy (DR), a serious eye condition, can cause
blindness. Improved patient outcomes and the prevention of vision loss are possible with …
blindness. Improved patient outcomes and the prevention of vision loss are possible with …
Visualization Process of International Trade and its impact on GDP through Multi-criteria Decision Model: A Case Study of India's Merchandise Trade
PS Metkewar, S Sharma, LH Shah… - … on Scalable Information …, 2024 - publications.eai.eu
When it comes to international trade, India is one of the most important nations. This paper
intends to analyze the effect of International Trade on a nation's GDP growth through the …
intends to analyze the effect of International Trade on a nation's GDP growth through the …
Hybrid statistical and recurrent neural network architecture implementation in FPGA device used for severe acute respiratory syndrome coronavirus detector
VM Senthilkumar, S Thenmozhi… - Journal of Intelligent …, 2023 - content.iospress.com
Abstract The Severe Acute Respiratory Syndrome (SARS) are caused by the strain of the
corona virus causes cold and influenza. In recent years, the covid pandemic spread …
corona virus causes cold and influenza. In recent years, the covid pandemic spread …
Visualisation and prediction of Covid-19 data using random forest regression
The outbreak of COVID-19 has spread among several parts of the world. The data pool
increases tremendously, which needs excellent attention by researchers of various domains …
increases tremendously, which needs excellent attention by researchers of various domains …