Results 1 to 10 of about 112,203 (161)
Model-Based Reinforcement Learning with Automated Planning for Network Management [PDF]
Reinforcement Learning (RL) comes with the promise of automating network management. However, due to its trial-and-error learning approach, model-based RL (MBRL) is not applicable in some network management scenarios. This paper explores the potential of
Armando Ordonez +4 more
doaj +2 more sources
Flexible control strategies are required in industrial scenarios to coordinate the actions of mobile manipulators (e.g., robots and humans). Temporal planning approaches can be used as such control strategies because they can generate those actions for ...
Stefan-Octavian Bezrucav +1 more
doaj +3 more sources
Automated planning and scheduling in robot-aided rehabilitation: a review [PDF]
Robotic systems are increasingly utilized in rehabilitation contexts, offering tailored support for physical and cognitive functions. Enabling these systems to autonomously personalize treatments entails a critical role for automated planning and ...
Christian Tamantini +2 more
doaj +2 more sources
Evaluation and tuning of a commercial automated planning system for prostate radiotherapy [PDF]
Background and Purpose:: Artificial Intelligence (AI) based automated planning is increasing in popularity. Guidance has been published recommending approaches for the safe implementation and monitoring of these techniques.
Antony Carver, Stuart Green
doaj +2 more sources
Clinical application of a template‐guided automated planning routine [PDF]
Schmidt MC +14 more
exaly +2 more sources
Validation of automated script-based proton therapy optimisation for comparative head and neck planning [PDF]
Background and purpose: Proton and photon plan comparison is often the gateway to proton therapy for head and neck cancer (HNC). Manual planning is resource demanding, whereas automated planning may efficiently create consistent treatment plans.
Marte Kåstad Høiskar +4 more
doaj +2 more sources
Automated planning (AP) uses common protocols for all patients within a cancer site. This work investigated using machine learning to personalise AP protocols for fully individualised planning.
Iona Foster +2 more
doaj +1 more source
BackgroundIn radiation oncology, automation of treatment planning has reported the potential to improve plan quality and increase planning efficiency.
Savino Cilla +14 more
doaj +1 more source
CAD-Based Feature Recognition for Process Monitoring Planning in Assembly
Process understanding and process monitoring are of great importance in production in order to control processes and guarantee a high quality. Demanding customer requirements with an increasing number of variants pose an even greater challenge to the ...
Clemens Gonnermann +2 more
doaj +1 more source
MR-Linac Radiotherapy – The Beam Angle Selection Problem
BackgroundWith the large-scale introduction of volumetric modulated arc therapy (VMAT), selection of optimal beam angles for coplanar static-beam IMRT has increasingly become obsolete.
Rik Bijman +7 more
doaj +1 more source

