Challenges and solutions for resilient telemedicine services
A Romanovs, E Sultanovs, E Buss… - 2020 IEEE 8th …, 2021 - ieeexplore.ieee.org
Moving towards healthcare modernization more attention and resources are paid to
telemedicine development, and nowadays healthcare is on the verge of significant changes …
telemedicine development, and nowadays healthcare is on the verge of significant changes …
Role of IoT in sustainable healthcare systems
Globally, the healthcare sector has recognized the worth of information and communication
technologies (ICTs) based on smart sensors and IoT within the delivery of healthcare …
technologies (ICTs) based on smart sensors and IoT within the delivery of healthcare …
Transformation in health-care services using Internet of Things (IoT)
In the twenty-first century, there is a significant change in every aspect of life, such as
socially, cultural-wise, economically and health-care-wise, etc., due to many advancements …
socially, cultural-wise, economically and health-care-wise, etc., due to many advancements …
Federated learning for an iot application
Abstract The Internet of Things (IoT) is having a great impact in different areas of our modern
life. Various IoT applications and services are getting evolved day by day. In parallel …
life. Various IoT applications and services are getting evolved day by day. In parallel …
QoS Enhancement of Hospital e-Healthcare Management using IoT
S Lenka, SK Pradhan, A Nanda - 2021 19th OITS International …, 2021 - ieeexplore.ieee.org
Hospital e-healthcare management is one of the important and challenging application
domains of Internet of Things (IoT). During the pandemic period of Covid-19, government …
domains of Internet of Things (IoT). During the pandemic period of Covid-19, government …
Internet of Things Heart Disease Detection with Machine Learning and EfficientNet-B0
D Akila, M Thyagaraj, D Senthil, S Adhikari… - … Conference on Micro …, 2023 - Springer
Heart disease is the main cause of mortality across all age groups in the modern world.
Thus, the necessity for improving heart attack prediction utilizing various machine learning …
Thus, the necessity for improving heart attack prediction utilizing various machine learning …
A Data-Driven Analytical Approach on Digital Adoption and Digital Policy for Pharmaceutical Industry in India
A Rana, B Sarkar, RK Parida, S Adhikari… - … Conference on Micro …, 2023 - Springer
The Indian pharmaceutical industry has witnessed exponential growth over the past few
decades to become the third largest globally in volume terms and a leading supplier of …
decades to become the third largest globally in volume terms and a leading supplier of …
A Smartphone-Based Health Monitoring and Management System
Prioritizing health is crucial for overall well-being, akin to valuing wealth and happiness. In
today's fast-paced world, time constraints make it challenging for individuals to monitor their …
today's fast-paced world, time constraints make it challenging for individuals to monitor their …
YouTube Sentimental Analysis Using a Combined Approach of KNN and K-means Clustering Algorithm
Sentiment analysis is the method for learning what users think and feel about a service or a
product. YouTube, one of the most widely used video-sharing websites, receives millions of …
product. YouTube, one of the most widely used video-sharing websites, receives millions of …
Thyroid Disease Prediction Using a Novel Classification Enhancing MLP and Random Forest Algorithms
D Akila, B Sakar, S Adhikari, R Bhuvana… - International Conference …, 2023 - Springer
It has just become apparent how important it is to anticipate thyroid sickness. Thyroid
problems impact people all over the world. This disease has become a significant problem …
problems impact people all over the world. This disease has become a significant problem …