Results 71 to 80 of about 12,348,154 (170)
Autonomous Velocity Encoding (VENC) Selection Improves Precision of Quantitative Flow Measurement
ABSTRACT Background The optimal velocity encoding limit (VENC) in phase contrast MRI is subject‐specific because it depends on peak flow rate and the presence of flow jets. Currently, VENC is set manually with limited prior knowledge of the peak velocity. Setting the correct VENC might improve measurement precision or shorten scan times.
Pierre Daudé +9 more
wiley +1 more source
This diploma thesis deals with robotic automation of selected business process using RPA technology. Robotic automation tools are compared with each other and two are subsequently selected for development of the automation – the UiPath software and the ...
Mudrich, Tomáš
core +1 more source
Industry 5.0 technologies support agro‐food engineering using intelligent automation and other digital tools. Integrating advanced digital technologies into agro‐food processing enables efficient, traceable, and sustainable production systems. ABSTRACT This review discusses the application of Industry 5.0‐oriented digital technologies in agro‐food ...
Grisel Osorio +5 more
wiley +1 more source
Abstract Purpose End‐to‐end AI‐based automated contouring and radiotherapy planning systems promise substantial gains in efficiency and consistency but also introduce new safety risks, including user input errors that occur early in the workflow. This study evaluates the ability of standard physics plan review to detect user errors in prescription and ...
Laurence E. Court +8 more
wiley +1 more source
In Technology Management, the assessment of new digital technologies is a challenging process. Most assessments are focusing on cost & benefit. These approaches often fail because main points are neglected.
Bernhard Axmann, Harmoko Harmoko
doaj
An integrative review of microfluidics‐enabled wearables and implantable systems reveals a single‐track translation pipeline, bridging functional biomaterials with clinical utility. Dynamic feedback loops driven by artificial intelligence advance diagnostics toward personalized closed‐loop theranostics.
Ke Huang +3 more
wiley +1 more source
Lateral flow assays are evolving into interdisciplinary, system‐level sensing platforms. Recent innovations are deconstructed through coupled phases of mass transfer, reaction, and signal transduction, revealing interdependence across porous materials, interfacial chemistry, nanolabels, readout devices, and data‐enabled analysis.
Yan Pan +6 more
wiley +1 more source
We systematically evaluated the intrinsic geometric accuracy of five F3 localization methods in 250 3D head models (125 female and 125 male). Commonly used heuristic approaches (BeamF3, Adjusted BeamF3, and SGP) showed higher errors, whereas regression‐based methods (NeurallyF3, EPlacementF3) achieved submillimetric accuracy, enabling reliable MRI‐free
Rosa Pàmies‐Vilà +3 more
wiley +1 more source
Empirical Study of Robotic Process Automation: Implementation and Evaluation
Process automation has been shown to lead to significant improvements in efficiency across industries by automating certain tasks. Robotic process automation (RPA) is one such technology that is being widely implemented to gain a competitive advantage ...
Ali Gunawan +3 more
doaj +1 more source
Robotic Process Automation (RPA) and AI in Business Process Optimization
Robotic Process Automation (RPA) and Artificial Intelligence (AI) have revolutionized the way businesses operate by offering unprecedented efficiency and optimization opportunities.
asad abbas
core +1 more source

