Results 21 to 30 of about 172,710 (318)

STL Robustness Risk over Discrete-Time Stochastic Processes [PDF]

open access: yesIEEE Conference on Decision and Control, 2021
We present a framework to interpret signal temporal logic (STL) formulas over discrete-time stochastic processes in terms of the induced risk. Each realization of a stochastic process either satisfies or violates an STL formula.
Lars Lindemann, N. Matni, George Pappas
semanticscholar   +1 more source

An Idiotypic Immune Network as a Short Term Learning Architecture for Mobile Robots [PDF]

open access: yes, 2008
A combined Short-Term Learning (STL) and Long-Term Learning (LTL) approach to solving mobile robot navigation problems is presented and tested in both real and simulated environments.
Aickelin, Uwe   +2 more
core   +5 more sources

Comparison of the accuracy of intraoral scanning systems with conventional impression in dentate patient

open access: yesSelcuk Dental Journal, 2020
Background: Over the last years, different intraoral scanning systems for direct digitalization have been introduced to the dental market. However, the accuracy of these scanners is variable, and little information is available.
İmadettin Alsayed, Yılmaz Umut Aslan
doaj   +1 more source

A Crime that Cannot be Named: Normalisation or Distortion of Incest Victims’ Narratives with #MeTooInceste

open access: yesCritical Approaches to Discourse Analysis across Disciplines, 2023
In January 2021, the #MeTooInceste hashtag emerged on French-speaking Twitter, allowing victims of incest to recount their experiences and bring their narratives to light.
Oceane Foubert   +3 more
doaj   +1 more source

STL-free design and manufacturing paradigm for high-precision powder bed fusion

open access: yesCIRP annals, 2021
High-precision powder bed fusion (PBF), together with highly complex geometries necessitate a much more scalable representation of the geometry and an efficient computational pipeline.
Junhao Ding   +5 more
semanticscholar   +1 more source

STL Decomposition of Time Series Can Benefit Forecasting Done by Statistical Methods but Not by Machine Learning Ones

open access: yesEngineering Proceedings, 2021
This paper aims at comparing different forecasting strategies combined with the STL decomposition method. STL is a versatile and robust time series decomposition method.
Zuokun Ouyang, P. Ravier, M. Jabloun
semanticscholar   +1 more source

On Robustness Metrics for Learning STL Tasks [PDF]

open access: yesAmerican Control Conference, 2020
Signal temporal logic (STL) is a powerful tool for describing complex behaviors for dynamical systems. Among many approaches, the control problem for systems under STL task constraints is well suited for learning-based solutions, because STL is equipped ...
P. Várnai, Dimos V. Dimarogonas
semanticscholar   +1 more source

Decomposition and modeling of signal shapes of single point cardiac monitoring

open access: yesCurrent Directions in Biomedical Engineering, 2020
We introduce a novel method for electronic recording of cardiac signals from a single point at the skin in contrast to classical differential electrocardiography (ECG).
Eyvazi Hesar Milad   +4 more
doaj   +1 more source

An Improved STL-LSTM Model for Daily Bus Passenger Flow Prediction during the COVID-19 Pandemic

open access: yesItalian National Conference on Sensors, 2021
The COVID-19 pandemic is a significant public health problem globally, which causes difficulty and trouble for both people’s travel and public transport companies’ management.
Feng Jiao   +3 more
semanticscholar   +1 more source

An overview of rapid prototyping technologies using subtractive, additive and formative processes [PDF]

open access: yesFME Transactions, 2020
This paper describes methodology for application of a rapid prototyping using subtractive, additive and formative technology based on STL files. Rapid prototyping technology includes using of a digital information chain CAD/CAM/CNC to a level which ...
Živanović Saša T.   +4 more
doaj  

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