Network intrusion detection system: A systematic study of machine learning and deep learning approaches
The rapid advances in the internet and communication fields have resulted in a huge
increase in the network size and the corresponding data. As a result, many novel attacks are …
increase in the network size and the corresponding data. As a result, many novel attacks are …
Causability and explainability of artificial intelligence in medicine
Explainable artificial intelligence (AI) is attracting much interest in medicine. Technically, the
problem of explainability is as old as AI itself and classic AI represented comprehensible …
problem of explainability is as old as AI itself and classic AI represented comprehensible …
IoT in smart cities: A survey of technologies, practices and challenges
Internet of Things (IoT) is a system that integrates different devices and technologies,
removing the necessity of human intervention. This enables the capacity of having smart (or …
removing the necessity of human intervention. This enables the capacity of having smart (or …
What do we need to build explainable AI systems for the medical domain?
Artificial intelligence (AI) generally and machine learning (ML) specifically demonstrate
impressive practical success in many different application domains, eg in autonomous …
impressive practical success in many different application domains, eg in autonomous …
Clusterfl: a similarity-aware federated learning system for human activity recognition
Federated Learning (FL) has recently received significant interests thanks to its capability of
protecting data privacy. However, existing FL paradigms yield unsatisfactory performance for …
protecting data privacy. However, existing FL paradigms yield unsatisfactory performance for …
A survey of human activity recognition in smart homes based on IoT sensors algorithms: Taxonomies, challenges, and opportunities with deep learning
Recent advances in Internet of Things (IoT) technologies and the reduction in the cost of
sensors have encouraged the development of smart environments, such as smart homes …
sensors have encouraged the development of smart environments, such as smart homes …
Explainable AI: the new 42?
Explainable AI is not a new field. Since at least the early exploitation of CS Pierce's
abductive reasoning in expert systems of the 1980s, there were reasoning architectures to …
abductive reasoning in expert systems of the 1980s, there were reasoning architectures to …
Human activity recognition: A survey
Abstract Human Activity Recognition (HAR) has been a challenging problem yet it needs to
be solved. It will mainly be used for eldercare and healthcare as an assistive technology …
be solved. It will mainly be used for eldercare and healthcare as an assistive technology …
The application of internet of things in healthcare: a systematic literature review and classification
Abstract The Internet of Things (IoT) is an ecosystem that integrates physical objects,
software and hardware to interact with each other. Aging of population, shortage of …
software and hardware to interact with each other. Aging of population, shortage of …
Human activity recognition and embedded application based on convolutional neural network
Y Xu, TT Qiu - Journal of Artificial Intelligence and Technology, 2021 - ojs.istp-press.com
With the improvement of people's living standards, the demand for health monitoring and
exercise detection is increasing. It is of great significance to study human activity recognition …
exercise detection is increasing. It is of great significance to study human activity recognition …