Results 11 to 20 of about 1,716,279 (361)

Reinforcement learned adversarial agent (ReLAA) for active fault detection and prediction in space habitats

open access: yesnpj Microgravity, 2023
With growing interest for human space tourism in the twenty-first century, much attention has been directed to the robust engineering of Environmental Control and Life Support Systems in space habitats. The stable, reliable operation of such a habitat is
Matthew Overlin   +4 more
doaj   +1 more source

Reflection in Action: A Key to Developing Competences for the Teaching of Science [PDF]

open access: yesAthens Journal of Education, 2016
The aim of this research was to identify and analyse the concepts and ideas related to the nature of science, scientific concepts, and teaching and learn about science developed by a group of teachers during a training course for the teaching of sciences
Antonio Fernández-Crispín   +4 more
doaj   +1 more source

Spectrum Options and Allocations for 6G: A Regulatory and Standardization Review

open access: yesIEEE Open Journal of the Communications Society, 2023
The upcoming sixth generation (6G) mobile communication system is expected to operate across a wide range of spectrum that includes not only the bands used by previous generations but also higher frequency bands such as millimeter wave (mmWave), which ...
Wijdan K. Alsaedi   +3 more
doaj   +1 more source

Autonomy and Enhancement [PDF]

open access: yesNeuroethics, 2013
Some have objected to human enhancement on the grounds that it violates the autonomy of the enhanced. These objections, however, overlook the interesting possibility that autonomy itself could be enhanced. How, exactly, to enhance autonomy is a difficult problem due to the numerous and diverse accounts of autonomy in the literature.
Schaefer G.O., Kahane G., Savulescu J.
openaire   +4 more sources

A Case for User-Centered Design in Satellite Command and Control

open access: yesAerospace, 2021
The prevalence of unique, disparate satellite command and control (SATC2) systems in current satellite operations is problematic. As such, the United States Air Force aims to consolidate SATC2 systems into an enterprise solution that utilizes a common ...
Stephen L. Dorton   +3 more
doaj   +1 more source

A Hybrid Proactive Caching System in Vehicular Networks Based on Contextual Multi-Armed Bandit Learning

open access: yesIEEE Access, 2023
Proactive edge caching has been regarded as an effective approach to satisfy user experience in mobile networks by providing seamless content transmission and reducing network delay.
Qiao Wang, David Grace
doaj   +1 more source

Autonomy and Monitoring [PDF]

open access: yesJournal of Economics & Management Strategy, 2016
This paper provides a theoretical and empirical analysis of an under‐explored consequence of granting autonomy to workers: monitoring. In the principal‐agent model that we develop, granting autonomy allows workers to carry out innovative tasks in the workplace.
Barrenechea-Méndez, Marco A.   +2 more
openaire   +5 more sources

Affordable Artificial Intelligence-Assisted Machine Supervision System for the Small and Medium-Sized Manufacturers

open access: yesSensors, 2022
With the rapid concurrent advance of artificial intelligence (AI) and Internet of Things (IoT) technology, manufacturing environments are being upgraded or equipped with a smart and connected infrastructure that empowers workers and supervisors to ...
Chen Li   +4 more
doaj   +1 more source

A Wargame-Augmented Knowledge Elicitation Method for the Agile Development of Novel Systems

open access: yesSystems, 2020
There are inherent difficulties in designing an effective Human–Machine Interface (HMI) for a first-of-its-kind system. Many leading cognitive research methods rely upon experts with prior experiences using the system and/or some type of existing mockups
Stephen L. Dorton   +4 more
doaj   +1 more source

Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense

open access: yesEngineering, 2020
Recent progress in deep learning is essentially based on a “big data for small tasks” paradigm, under which massive amounts of data are used to train a classifier for a single narrow task.
Yixin Zhu   +11 more
doaj   +1 more source

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