Machine Learning-Based Patient Load Prediction and IoT Integrated Intelligent Patient Transfer Systems

IoT Security Techniques Based on Machine Learning

Internet of things (IoT) that integrate a variety of devices into networks to provide advanced and intelligent services have to protect user privacy and address attacks such as spoofing attacks, denial of service attacks, jamming and eavesdropping. In this article, we investigate the attack model for IoT systems, and review the IoT security solutions based on machine learning techniques includi...

Machine Learning for Intelligent Systems

Recent research in machine learning has focused on supervised induction for simple classification and reinforcement learning for simple reactive behaviors. In the process, the field has become disconnected from AI’s original goal of creating complete intelligent agents. In this paper, I review recent work on machine learning for planning, language, vision, and other topics that runs counter to ...

Interpretable Machine Learning for Privacy-Preserving IoT and Pervasive Systems

The presence of pervasive computing in our everyday lives and emergence of the Internet of Things, such as the interaction of users with connected devices like smartphones or home appliances generate increasing amounts of traces that reflect users’ behavior. A plethora of machine learning techniques enable service providers to process these traces to extract latent information about the users. ...

musculoskeletal load assessment in hospital nurses with patient transfer activity

manual patient handling is known to be the major source of musculoskeletal load among hospital nurses. the objectives of the present study were determination of frequency of musculoskeletal disorders (msds) and its associated factors together with assessment of musculoskeletal load due to patient transfer by ptai method in hospital nursing staff of shiraz university of medical sciences (sums), ...

Intelligent Assistant Systems: Support for Integrated Human-Machine Systems