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Found 7 papers, 0 papers with code
Safe Hierarchical Reinforcement Learning for CubeSat Task Scheduling Based on Energy Consumption
This paper presents a Hierarchical Reinforcement Learning methodology tailored for optimizing CubeSat task scheduling in Low Earth Orbits (LEO).
Hierarchical Reinforcement Learning
reinforcement-learning
+1
Lessons from a Space Lab -- An Image Acquisition Perspective
From the lessons learned during the lab development, this article presents a systematic approach combining market survey and experimental analyses for equipment selection.
Detecting impending malnutrition of elderly people in domestic smart home environments
Thus, the average time for preparing a meal is a suitable indicator for doctors and nutritionists to examine the patient further, become aware of an impending malnutrition, and intervene at an early stage of malnutrition.
An evolutionary approach to continuously estimate CPR quality parameters from a wrist-worn inertial sensor
Cardiopulmonary resuscitation (CPR) is one of the most critical emergency interventions for sudden cardiac arrest.
Transportation Mode Classification from Smartphone Sensors via a Long-Short-Term-Memory Network
This article introduces the architecture of a Long-Short-Term Memory network for classifying transportation-modes via Smartphone data and evaluates its accuracy.
Staying Alive - CPR Quality Parameters from Wrist-worn Inertial Sensor Data with Evolutionary Fitted Sinusoidal Models
In this paper, a robust sinusoidal model fitting method based on the Differential Evolution (DE) algorithm for determining cardiopulmonary resuscitation (CPR) quality-parameters - naming chest compression frequency and depth - as measured by an inertial sensor placed at the wrist is presented.
Cardiopulmonary resuscitation quality parameters from motion capture data using Differential Evolution fitting of sinusoids
Cardiopulmonary resuscitation (CPR) is alongside electrical defibrillation the most crucial countermeasure for sudden cardiac arrest, which affects thousands of individuals every year.
