AIMC Topic: Internet of Things

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Intelligent penetration testing method for power internet of things systems combining ontology knowledge and reinforcement learning.

PloS one
With the application of new-generation information technologies such as big data, artificial intelligence, and the energy Internet in Power Internet of Things (IoT) systems, a large number of IoT terminals, acquisition terminals, and transmission dev...

HCAP: Hybrid cyber attack prediction model for securing healthcare applications.

PloS one
The rapid development and integration of interconnected healthcare devices and communication networks within the Internet of Medical Things (IoMT) have significantly enhanced healthcare services. However, this growth has also introduced new vulnerabi...

Digital transformation in healthcare management: from Artificial Intelligence to blockchain.

Wiadomosci lekarskie (Warsaw, Poland : 1960)
The digital transformation of healthcare is revolutionizing the management of medical institutions, improving operational efficiency, patient outcomes, and data security. With the increasing complexity of healthcare systems, the integration of cuttin...

Continuous glucose monitoring using machine learning models and IoT device data: A meta-analysis.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Machine learning offers diverse options for effectively managing blood glucose levels in diabetes patients. Selecting the right ML algorithm is critical given the array of available choices. Integrating data from IoT devices presents prom...

Smart Seizure Detection System: Machine Learning Based Model in Healthcare IoT.

Current aging science
BACKGROUND: Epilepsy, the tendency to have recurrent seizures, can have various causes, including brain tumors, genetics, stroke, brain injury, infections, and developmental disorders. Epileptic seizures are usually transient events. They normally le...

[Discussion about Testing Scheme of Intelligent Medical Devices].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
Intelligent medical devices are flourishing with the deep integration of modern information and artificial intelligence technologies into healthcare. Testing is an important means of performance evaluation and quality control for intelligent medical ...

[Digital Intelligence Drives the High-Quality Development of the Healthcare Service System: Development Mechanisms and Implementation Pathway].

Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition
The rapid development of digital intelligence technologies is providing a powerful boost to the high-quality development of the healthcare system. Considering the current state of our healthcare services and guided by General Secretary Xi Jinping's i...

Trustworthy Precision Medicine: An Interpretable Approach to Detecting Anomalous Behavior of IoT Devices.

Studies in health technology and informatics
The growing integration of Internet of Things (IoT) technology within the healthcare sector has revolutionized healthcare delivery, enabling advanced personalized care and precise treatments. However, this raises significant challenges, demanding rob...

Ensuring the integrity assessment of IoT medical sensors using hesitant fuzzy sets.

Health informatics journal
The Internet of Medical Things (IoMT) is transforming healthcare systems, but concerns about device integrity and sensitive data are growing. The study aims to develop a framework for evaluating and prioritizing integrity schemes in healthcare for I...

IoT-based external attacks aware secure healthcare framework using blockchain and SB-RNN-NVS-FU techniques.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: In recent times, there has been widespread deployment of Internet of Things (IoT) applications, particularly in the healthcare sector, where computations involving user-specific data are carried out on cloud servers. However, the network ...