Titlebook: Intelligent Systems, Technologies and Applications; Proceedings of Sixth Marcin Paprzycki,Sabu M. Thampi,El-Sayed M. El-Alf Conference proc

KIN

Deep Neural Network Based Multi-class Arrhythmia Classification,ssification using MIT–BIH arrhythmia database. The network classifies the input ECG signals into six groups: normal heartbeat and five arrhythmia classes. The proposed model was found to be very promising with an accuracy of 99.45%.

傲慢人

Infirm

AI Approaches for IoT Security Analysis,y. For this, we present an overview of IoT protocols and potential security risks. We also report the techniques and the datasets used in the studied works, discuss the challenges of using ML, DL and FL for IoT cybersecurity and provide future insights.

Abrade

Madrigal

Analyze and Visualize the Correlation Between Heart and Cancer Diseases Using Data Mining Technique and cancer diseases is given by testing the various data mining algorithms. The major aim of the work is to implement data mining techniques to cluster states of the USA on the basis of deaths due to heart and cancer disease and to find out the main cause of the death due to these diseases.

酷热

abreast

minion

预感

Conference proceedings 2021s, security and privacy, Internet of things, machine and deep learning, health informatics, visual computing, signal processing, and natural language processing. The book is directed to the researchers and scientists engaged in various fields of intelligent systems. .

光明正大

978-981-16-0729-5The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor