Results 41 to 50 of about 42,816 (266)
Molecular Oncology, EarlyView.Pair‐wise comparison of the CellSearch and FETCH enrichment technologies for circulating tumor cells (CTCs) from metastatic breast, prostate, and small cell lung cancer patients shows an increased capture of CTCs using FETCH enrichment. The clinical implementation of circulating tumor cells (CTCs) as a predictive tool for therapy efficacy in the ...
Michiel Stevens +6 more
wiley +1 more source
Releaf: An Efficient Method for Real-Time Occlusion Handling by Game Theory
SensorsReceiving uninterrupted videos from a scene with multiple cameras is a challenging task. One of the issues that significantly affects this task is called occlusion.
Hamid Osooli +5 more
doaj +1 more source
Teaching Human Poses Interactively to a Social Robot
Sensors, 2013 The main activity of social robots is to interact with people. In order to do that, the robot must be able to understand what the user is saying or doing.
Miguel A. Salichs +3 more
doaj +1 more source
CLUE-AI: A Convolutional Three-Stream Anomaly Identification Framework for Robot Manipulation
IEEE Access, 2023 Despite the great promise of service robots in everyday tasks, many roboethics issues remain to be addressed before these robots can physically work in human environments.
Dogan Altan, Sanem Sariel
doaj +1 more source
Machine Learning for Robotics [PDF]
, 2012 Robots are typically far less capable in autonomous mode than in tele-operated mode. The few exceptions tend to stem from long days (and more often weeks, or even years) of expert engineering for a specific robot and its operating environment. Current control methodology is quite slow and labor intensive. I believe advances in machine learning have the
openaire +1 more source
A Ubiquitous Learning Approach on Robotics
2023 Latin American Robotics Symposium (LARS), 2023 Brazilian Symposium on Robotics (SBR), and 2023 Workshop on Robotics in Education (WRE), 2023 Ubiquitous learning refers to the integration of learning processes with everyday environments and activities using technology. By leveraging ubiquitous learning principles in the field of robotics, we can foster an immersive and interactive learning environment that promotes continuous learning and knowledge acquisition.
Mota, Fernanda P. +3 more
openaire +2 more sources
Directed evolution of enzymes at the crossroads of tradition and innovation
FEBS Open Bio, EarlyView.An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
Elastic Fast Marching Learning from Demonstration
Advanced Intelligent SystemsThis article introduces a novel approach for learning robotic skills from human demonstrations, Elastic Fast Marching Learning (EFML). This method seamlessly integrates concepts from Elastic Maps, a Learning from Demonstration (LfD) method based on a ...
Adrian Prados +3 more
doaj +1 more source
Improving sample efficiency and exploration in upside-down reinforcement learning
Journal of Information and IntelligenceSupervised learning has been demonstrated to be a stable approach for training deep neural networks. Upside-down reinforcement learning solves reinforcement learning problems by using supervised learning, but this method suffers from weak sample ...
Mohammadreza Nakhaei +1 more
doaj +1 more source
Guided Stochastic Optimization for Motion Planning
Frontiers in Robotics and AI, 2019 Learning from Demonstration (LfD) is a family of methods used to teach robots specific tasks. It is used to assist them with the increasing difficulty of performing manipulation tasks in a scalable manner.
Bence Magyar +8 more
doaj +1 more source