Results 41 to 50 of about 573,428 (294)
Decision-Making for Automated Vehicles Using a Hierarchical Behavior-Based Arbitration Scheme
, 2020 Behavior planning and decision-making are some of the biggest challenges for highly automated systems. A fully automated vehicle (AV) is confronted with numerous tactical and strategical choices.
Burger, Christoph +2 more
core +1 more source
FEBS Open Bio, EarlyView.RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz +6 more
wiley +1 more source
Using Automated Planning for Traffic Signals Control
Promet (Zagreb), 2016 Solving traffic congestions represents a high priority issue in many big cities. Traditional traffic control systems are mainly based on pre-programmed, reactive and local techniques.
Matija Gulić +2 more
doaj +1 more source
Challenges of Portfolio-based Planning [PDF]
, 2012 In the recent years the field of automated planing has significantly advanced and several powerful domain-independent planners have been developed. However, none of these systems clearly outperforms all the others in every known benchmark domain.
Kitchin, Diane E., Vallati, Mauro
core
FEBS Open Bio, EarlyView.CRISPRI‐mediated gene silencing and phenotypic exploration in nontuberculous mycobacteria. In this Research Protocol, we describe approaches to control, monitor, and quantitatively assess CRISPRI‐mediated gene silencing in M. smegmatis and M. abscessus model organisms.
Vanessa Point +7 more
wiley +1 more source
A Robust Planning Algorithm for Groups of Entities in Discrete Spaces
Entropy, 2015 Automated planning is a well-established field of artificial intelligence (AI), with applications in route finding, robotics and operational research, among others.
Igor Wojnicki +2 more
doaj +1 more source
PDDLStream: Integrating Symbolic Planners and Blackbox Samplers via Optimistic Adaptive Planning
, 2020 Many planning applications involve complex relationships defined on high-dimensional, continuous variables. For example, robotic manipulation requires planning with kinematic, collision, visibility, and motion constraints involving robot configurations ...
Garrett, Caelan Reed +2 more
core +2 more sources
FEBS Open Bio, EarlyView.In this study, we developed a deep learning method for mitotic figure counting in H&E‐stained whole‐slide images and evaluated its prognostic impact in 13 external validation cohorts from seven different cancer types. Patients with more mitotic figures per mm2 had significantly worse patient outcome in all the studied cancer types except colorectal ...
Joakim Kalsnes +32 more
wiley +1 more source
An Automated Assembly Sequence Planning System [PDF]
Engineering and Technology Journal, 2009 In this paper, a methodology called ASPS (computer-aided AssemblySequence Planning System) was developed to incorporate making decisions on process planning and production planning for assembly product.Using ASPS, a planner or manufacturing engineering ...
Saleh J. Fendi Al-Saadi
doaj +1 more source
Decentralized Cooperative Planning for Automated Vehicles with Hierarchical Monte Carlo Tree Search
, 2018 Today's automated vehicles lack the ability to cooperate implicitly with others. This work presents a Monte Carlo Tree Search (MCTS) based approach for decentralized cooperative planning using macro-actions for automated vehicles in heterogeneous ...
Kurzer, Karl +2 more
core +1 more source