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[HTML][HTML] Enhancing Internet of Medical Things security with artificial intelligence: A comprehensive review
Over the past five years, interest in the literature regarding the security of the Internet of
Medical Things (IoMT) has increased. Due to the enhanced interconnectedness of IoMT …
Medical Things (IoMT) has increased. Due to the enhanced interconnectedness of IoMT …
Fft-asvr: an adaptive approach for accurate prediction of IoT data streams
In IoT applications, prediction models have fundamental challenges such as real-time
processing, producing results with considerable/without delay, and taking action against …
processing, producing results with considerable/without delay, and taking action against …
Ensuring User Privacy and Model Security via Machine Unlearning: A Review.
As an emerging discipline, machine learning has been widely used in artificial intelligence,
education, meteorology and other fields. In the training of machine learning models, trainers …
education, meteorology and other fields. In the training of machine learning models, trainers …
Cnn-bilstm hybrid model for network anomaly detection in internet of things
Anomaly detection in internet of things network traffic is a critical aspect of intrusion and
attack detection, in which a deviation from typical behavior signals the existence of malicious …
attack detection, in which a deviation from typical behavior signals the existence of malicious …
A model to predict heartbeat rate using deep learning algorithms
ECG provides critical information in a waveform about the heart's condition. This information
is crucial to physicians as it is the first thing to be performed by cardiologists. When COVID …
is crucial to physicians as it is the first thing to be performed by cardiologists. When COVID …
[کتاب][B] Artificial Intelligence and Security: 8th International Conference, ICAIS 2022, Qinghai, China, July 15–20, 2022, Proceedings, Part III
This three-volume set LNCS 13338-13340 constitutes the thoroughly refereed proceedings
of the 8th International Conference on Artificial Intelligence and Security, ICAIS 2022, which …
of the 8th International Conference on Artificial Intelligence and Security, ICAIS 2022, which …
Classification of Arrhythmia Based on Convolutional Neural Networks and Encoder-Decoder Model.
J Liu, X **a, C Han, J Hui… - Computers, Materials & …, 2022 - search.ebscohost.com
As a common and high-risk type of disease, heart disease seriously threatens people's
health. At the same time, in the era of the Internet of Thing (IoT), smart medical device has …
health. At the same time, in the era of the Internet of Thing (IoT), smart medical device has …
A Novel Data Classification Model in Industrial Internet of Things
C Liu, Y Sun, J Li, Y Liu - … Symposium on Internet of Things and …, 2024 - ieeexplore.ieee.org
With the rapid development of Industrial Internet of Things (IIoT), there has been a massive
increase in the amount of data generated by sensors, industrial control systems, industrial …
increase in the amount of data generated by sensors, industrial control systems, industrial …
Power Semantic Text Relation Extraction Method Based on Data Center
J Sun, C Hu, C Zhang, P Wang… - 2022 IEEE 10th Joint …, 2022 - ieeexplore.ieee.org
At present, traditional deep learning-based relation extraction methods are difficult to extract
in complex contexts, and do not consider the impact of non-target relations in context on …
in complex contexts, and do not consider the impact of non-target relations in context on …
Machine Learning Method for Analyzing and Predicting Cardiovascular Disease
Heart Disease is among the leading causes of mortality globally. Heart disease is
responsible for delivering plasma to every portion of the body. Frequent causes of cardiac …
responsible for delivering plasma to every portion of the body. Frequent causes of cardiac …