SmartHerd management: A microservices‐based fog computing–assisted IoT platform towards data‐driven smart dairy farming
Summary Internet of Things (IoT), fog computing, cloud computing, and data‐driven
techniques together offer a great opportunity for verticals such as dairy industry to increase …
techniques together offer a great opportunity for verticals such as dairy industry to increase …
Machine intelligence in healthcare and medical cyber physical systems: A survey
Today, the US healthcare industry alone can save $300 B per year by using machine
intelligence to analyze a rich set of existing medical data; results from these analyses can …
intelligence to analyze a rich set of existing medical data; results from these analyses can …
Self-tuning backstepping control with kalman-like filter for high-precision control of automotive electronic throttle
Y Liu, F Li, B Sun - Electronics, 2023 - mdpi.com
The automotive electronic throttle (AET) control system has been widely applied in modern
automotive engines, and accurate control of AET can improve engine performance as well …
automotive engines, and accurate control of AET can improve engine performance as well …
Toward automatic anxiety detection in autism: A real-time algorithm for detecting physiological arousal in the presence of motion
A Puli, A Kushki - IEEE Transactions on Biomedical …, 2019 - ieeexplore.ieee.org
Objective: Anxiety is a significant clinical concern in autism spectrum disorder (ASD) due to
its negative impact on physical and psychological health. Treatment of anxiety in ASD …
its negative impact on physical and psychological health. Treatment of anxiety in ASD …
Context-aware sensing via dynamic programming for edge-assisted wearable systems
Healthcare applications supported by the Internet of Things enable personalized monitoring
of a patient in everyday settings. Such applications often consist of battery-powered sensors …
of a patient in everyday settings. Such applications often consist of battery-powered sensors …
Edge-assisted sensor control in healthcare iot
The Internet of Things is a key enabler of mobile health-care applications. However, the
inherent constraints of mobile devices, such as limited availability of energy, can impair their …
inherent constraints of mobile devices, such as limited availability of energy, can impair their …
Edge-assisted control for healthcare internet of things: A case study on ppg-based early warning score
Recent advances in pervasive Internet of Things technologies and edge computing have
opened new avenues for development of ubiquitous health monitoring applications …
opened new avenues for development of ubiquitous health monitoring applications …
Distributed maximum correntropy unscented Kalman filter under hybrid attacks in non‐Gaussian environment
T Liu, H Ma, J Huang, M Yu, D Du - Asian Journal of Control, 2024 - Wiley Online Library
This paper addresses a distributed nonlinear filtering issue based on maximum correntropy
for dealing with randomly occurring hybrid cyber‐attacks in non‐Gaussian environment. The …
for dealing with randomly occurring hybrid cyber‐attacks in non‐Gaussian environment. The …
Smoother entropy for active state trajectory estimation and obfuscation in POMDPs
In this article, we study the problem of controlling a partially observed Markov decision
process (POMDP) to either aid or hinder the estimation of its state trajectory. We encode the …
process (POMDP) to either aid or hinder the estimation of its state trajectory. We encode the …
Active sampling of multiple sources for sequential estimation
Consider processes, each generating a sequence of identical and independent random
variables. The probability measures of these processes have random parameters that must …
variables. The probability measures of these processes have random parameters that must …