Edge AI for early detection of chronic diseases and the spread of infectious diseases: opportunities, challenges, and future directions
E Badidi - Future Internet, 2023 - mdpi.com
Edge AI, an interdisciplinary technology that enables distributed intelligence with edge
devices, is quickly becoming a critical component in early health prediction. Edge AI …
devices, is quickly becoming a critical component in early health prediction. Edge AI …
Efficient prioritization and processor selection schemes for heft algorithm: A makespan optimizer for task scheduling in cloud environment
Cloud computing is one of the most commonly used infrastructures for carrying out activities
using virtual machines known as processing units. One of the most fundamental issues with …
using virtual machines known as processing units. One of the most fundamental issues with …
Hybrid model for detection of cervical cancer using causal analysis and machine learning techniques
Cervical cancer has become the third most common form of cancer in the in‐universe, after
the widespread breast cancer. Human papillomavirus risk of infection is linked to the …
the widespread breast cancer. Human papillomavirus risk of infection is linked to the …
RETRACTED: SVM‐based generative adverserial networks for federated learning and edge computing attack model and outpoising
P Manoharan, R Walia, C Iwendi, TA Ahanger… - Expert …, 2023 - Wiley Online Library
Abstract Machine learning are vulnerable to the threats. The Intruders can utilize the
malicious nature of the nodes to attack the training dataset to worsen the process and …
malicious nature of the nodes to attack the training dataset to worsen the process and …
Autonomous transaction model for e-commerce management using blockchain technology
A blockchain is an advanced technology that can power over a decentralized network. The
authors bring it up to design the autonomous transaction system for e-commerce …
authors bring it up to design the autonomous transaction system for e-commerce …
Hybrid model for precise hepatitis-C classification using improved random forest and SVM method
Abstract Hepatitis C Virus (HCV) is a viral infection that causes liver inflammation. Annually,
approximately 3.4 million cases of HCV are reported worldwide. A diagnosis of HCV in …
approximately 3.4 million cases of HCV are reported worldwide. A diagnosis of HCV in …
Social network user profiling with multilayer semantic modeling using ego network
Social and information networks undermine the real relationship between the individuals
(ego) and the friends (alters) they are connected with on social media. The structure of …
(ego) and the friends (alters) they are connected with on social media. The structure of …
Social network analysis for precise friend suggestion for twitter by associating multiple networks using ml
The main aim in this paper is to create a friend suggestion algorithm that can be used to
recommend new friends to a user on Twitter when their existing friends and other details are …
recommend new friends to a user on Twitter when their existing friends and other details are …
A Review of Machine Learning's Role in Cardiovascular Disease Prediction: Recent Advances and Future Challenges
Cardiovascular disease is the leading cause of global mortality and responsible for millions
of deaths annually. The mortality rate and overall consequences of cardiac disease can be …
of deaths annually. The mortality rate and overall consequences of cardiac disease can be …
A novel study on machine learning algorithm‐based cardiovascular disease prediction
Cardiovascular disease (CVD) is a life‐threatening disease rising considerably in the world.
Early detection and prediction of CVD as well as other heart diseases might protect many …
Early detection and prediction of CVD as well as other heart diseases might protect many …