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» Adaptive learning in evolving task allocation networks
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IROS
2006
IEEE
126views Robotics» more  IROS 2006»
14 years 23 days ago
A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks
Abstract— Tying suture knots is a time-consuming task performed frequently during Minimally Invasive Surgery (MIS). Automating this task could greatly reduce total surgery time f...
Hermann Georg Mayer, Faustino J. Gomez, Daan Wiers...
JMLR
2010
162views more  JMLR 2010»
13 years 1 months ago
A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design
An exceedingly large number of scientific and engineering fields are confronted with the need for computer simulations to study complex, real world phenomena or solve challenging ...
Dirk Gorissen, Ivo Couckuyt, Piet Demeester, Tom D...
IPSN
2010
Springer
14 years 1 months ago
Distributed genetic evolution in WSN
Wireless Sensor Actuator Networks (WSANs) extend wireless sensor networks through actuation capability. Designing robust logic for WSANs however is challenging since nodes can aï¬...
Philip Valencia, Peter Lindsay, Raja Jurdak
EWSN
2010
Springer
13 years 10 months ago
An Adaptive Strategy for Energy-Efficient Data Collection in Sparse Wireless Sensor Networks
Sparse wireless sensor networks (WSNs) are being effectively used in several applications, which include transportation, urban safety, environment monitoring, and many others. Sens...
Mario Di Francesco, Kunal Shah, Mohan Kumar, Giuse...
ICAC
2005
IEEE
14 years 10 days ago
Self-Optimizing Architecture for QoS Provisioning in Differentiated Services
This paper presents a scalable and self-optimizing architecture for Quality-of-Service (QoS) provisioning in the Differentiated Services (DiffServ) framework. The proposed archite...
Daniel Yagan, Chen-Khong Tham