Results 91 to 100 of about 1,404,393 (269)
Effects of Interruptibility-Aware Robot Behavior [PDF]
arXiv, 2018 As robots become increasingly prevalent in human environments, there will inevitably be times when a robot needs to interrupt a human to initiate an interaction. Our work introduces the first interruptibility-aware mobile robot system, and evaluates the effects of interruptibility-awareness on human task performance, robot task performance, and on ...
arxiv
Multiple sclerosis clinical decision support system based on projection to reference datasets
Annals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1863-1873, December 2022., 2022 Abstract Objective Multiple sclerosis (MS) is a multifactorial disease with increasingly complicated management. Our objective is to use on‐demand computational power to address the challenges of dynamically managing MS. Methods A phase 3 clinical trial data (NCT00906399) were used to contextualize the medication efficacy of peg‐interferon beta‐1a vs ...
Chadia Ed‐driouch +13 more
wiley +1 more source
On Robot Revolution and Taxation [PDF]
arXiv, 2018 Advances in artificial intelligence are resulting in the rapid automation of the work force. The tools that are used to automate are called robots. Bill Gates proposed that in order to deal with the problem of the loss of jobs and reduction of the tax revenue we ought to tax the robots.
arxiv
A potential biomarker of cognitive impairment: The olfactory dysfunction and its genes expression
Annals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1884-1897, December 2022., 2022 Abstract Objective Accumulation evidence has reported that olfactory impairment may be an essential clinical marker and predictor of mild cognitive impairment or Alzheimer's disease. Method Participants were enrolled in the population‐based, prospective study in Fuxin county, Liaoning province, China between 2019 and 2021.
Jiayi Song +11 more
wiley +1 more source
Retracted: Feature Extraction and Analysis Method of Trombone Timbre Based on CNN Model
Journal of Robotics, 2023 Journal of Robotics
doaj +1 more source
Graph Neural Networks for Learning Robot Team Coordination [PDF]
Federated AI for Robotics Workshop, IJCAI-ECAI/ICML/AAMAS 2018, 2018 This paper shows how Graph Neural Networks can be used for learning distributed coordination mechanisms in connected teams of robots. We capture the relational aspect of robot coordination by modeling the robot team as a graph, where each robot is a node, and edges represent communication links.
arxiv
An Automated p-Nitrophenylphosphate Serum Alkaline Phosphatase Procedure for the "Robot Chemist" [PDF]
, 1965 Stanley Morgenstern +4 more
openalex +1 more source