Dental Research Data Availability and Quality According to the FAIR Principles
Journal of Dental Research, 2022 According to the FAIR principles, data produced by scientific research should be findable, accessible, interoperable, and reusable—for instance, to be used in machine learning algorithms. However, to date, there is no estimate of the quantity or quality of dental research data evaluated via the FAIR principles.
Uribe, S.E. +4 more
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Entropy-Based Temporal Downscaling of Precipitation as Tool for Sediment Delivery Ratio Assessment
Entropy, 2021 Many regions around the globe are subjected to precipitation-data scarcity that often hinders the capacity of hydrological modeling. The entropy theory and the principle of maximum entropy can help hydrologists to extract useful information from the ...
Pedro Henrique Lima Alencar +2 more
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Sensors, 2023 Estimating depth from images is a common technique in 3D perception. However, dealing with non-Lambertian materials, e.g., transparent or specular, is still nowadays an open challenge.
Christina Junger +4 more
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PLOS ONE, 2023 Background According to the FAIR principles (Findable, Accessible, Interoperable, and Reusable), scientific research data should be findable, accessible, interoperable, and reusable. The COVID-19 pandemic has led to massive research activities and an unprecedented number of topical publications in a short time ...
Ahmad Sofi-Mahmudi +6 more
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Providing Publicly Available Medical Data Access under FAIR Principles for Distributed Analysis
, 2022 Introduction: Medical data is often publicly unavailable due to privacy aspects. Rarely medical data is anonymously available but typically lacks the well-known FAIR principles [ref:1]. In particular, interoperability is a significant barrier in reusing medical data for different kinds of [for full text, please go to the a.m. URL]
Maia, M +4 more
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Beyond Moments: Extending the Maximum Entropy Principle to Feature Distribution Constraints
Entropy, 2018 The maximum entropy principle introduced by Jaynes proposes that a data distribution should maximize the entropy subject to constraints imposed by the available knowledge.
Paul M. Baggenstoss
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A novel approach to solve the "missing marker problem" in marker-based motion analysis that exploits the segment coordination patterns in multi-limb motion data. [PDF]
PLoS ONE, 2013 Marker-based human motion analysis is an important tool in clinical research and in many practical applications. Missing marker information caused by occlusions or a marker falling off is a common problem impairing data quality.
Peter Andreas Federolf
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Quantum inference of states and processes [PDF]
, 2002 The maximum-likelihood principle unifies inference of quantum states and processes from experimental noisy data. Particularly, a generic quantum process may be estimated simultaneously with unknown quantum probe states provided that measurements on probe
A. Jamiolkowski +48 more
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Genetic algorithms: a pragmatic, non-parametric approach to exploratory analysis of questionnaires in educational research [PDF]
, 1999 Data from a survey to determine student attitudes to their courses are used as an example to show how genetic algorithms can be used in the analysis of questionnaire data.
Andrew D. Madden +3 more
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Methodology for Estimating the Expected Cost of Engineering and Technology Innovation
Управленческое консультирование, 2019 The article proposes a methodology for estimating the expected cost of technical and technological innovations. The evaluation is performed in the pre-design phase of the innovation (project initiation phase).
T. N. Saurenko +2 more
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