Classifier model based on machine learning algorithms: application to differential diagnosis of suspicious thyroid nodules via sonography
OBJECTIVE. The purpose of this article is to construct classifier models using machine
learning algorithms and to evaluate their diagnostic performances for differentiating …
learning algorithms and to evaluate their diagnostic performances for differentiating …
A robust terrain aided navigation using the Rao-Blackwellized particle filter trained by long short-term memory networks
J Lee, H Bang - sensors, 2018 - mdpi.com
Terrain-aided navigation (TAN) is a technology that estimates the position of the vehicle by
comparing the altitude measured by an altimeter and height from the digital elevation model …
comparing the altitude measured by an altimeter and height from the digital elevation model …
Reduced-order modeling for limit-cycle oscillation using recurrent artificial neural network
12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th
AIAA/ISSMO Multidisciplinary Analysis and Page 1 Reduced-Order Modeling for Flutter/LCO …
AIAA/ISSMO Multidisciplinary Analysis and Page 1 Reduced-Order Modeling for Flutter/LCO …
Respiratory lung motion using an artificial neural network
One of the possibilities to enhance the accuracy of lung radiotherapy is to improve the
understanding of the individual lung motion of each patient. Indeed, using this knowledge, it …
understanding of the individual lung motion of each patient. Indeed, using this knowledge, it …
System and method for classifying agents based on agent movement patterns
Described is a system and method for the classification of agents based on agent movement
patterns. In operation, the system receives position data of a moving agent from a camera or …
patterns. In operation, the system receives position data of a moving agent from a camera or …
Simulation du mouvement pulmonaire personnalisé par réseau de neurones artificiels pour la radiothérapie externe
R Laurent - 2011 - theses.hal.science
Le développement de nouvelles techniques en radiothérapie externe ouvre de nouvelles
voies dans la recherche de gain de précision dans la distribution de dose en passant …
voies dans la recherche de gain de précision dans la distribution de dose en passant …
Utilisation d'un réseau de neurones artificiels pour la simulation des mouvements pulmonaires
Résumé Objectif de l'étude Une des possibilités pour améliorer la balistique d'une
radiothérapie pulmonaire consiste à mieux connaître le mouvement des poumons propre à …
radiothérapie pulmonaire consiste à mieux connaître le mouvement des poumons propre à …
System and method for classifying agents based on agent movement patterns
Described is a system and method for the classification of agents based on agent movement
patterns. In operation, the em receives position data of a moving agent from a camera or …
patterns. In operation, the em receives position data of a moving agent from a camera or …
A new prediction algorithm to improve training the neural networks and its application in mobile robot control system
This paper proposes a new prediction model for stable control of mobile robot based on
chaotic neural networks. Programming mobile robots can be long and difficult task. In this …
chaotic neural networks. Programming mobile robots can be long and difficult task. In this …
On the generation of representations for reinforcement learning
Y Sun - 2012 - folia.unifr.ch
Creating autonomous agents that learn to act from sequential interactions has long been
perceived as one of the ultimate goals of Artificial Intelligence (AI). Reinforcement Learning …
perceived as one of the ultimate goals of Artificial Intelligence (AI). Reinforcement Learning …