Unveiling the invisible: mathematical methods for restoring and interpreting illuminated manuscripts. [PDF]
Herit Sci, 2018 The last 50 years have seen an impressive development of mathematical methods for the analysis and processing of digital images, mostly in the context of photography, biomedical imaging and various forms of engineering.
Calatroni L +6 more
europepmc +3 more sources
Computational and mathematical methods in brain atlasing. [PDF]
Neuroradiol J, 2017 Nowinski WL.
europepmc +2 more sources
Mathematical methods in medicine: neuroscience, cardiology and pathology. [PDF]
Philos Trans A Math Phys Eng Sci, 2017 Amigó JM, Small M.
europepmc +2 more sources
Occurrence data on beetles (Coleoptera) collected in Dutch coastal dunes between 1953 and 1960 [PDF]
Biodiversity Data Journal, 2022 Historical field data in ecology are exceedingly rare and, therefore, their preservation and publication is of high importance, especially as these data can function as a point of reference for present day biodiversity research. Therefore, we digitised a
G.M. Gerrits, L. Hemerik
doaj +3 more sources
Mathematical Methods for an Accurate Navigation of the Robotic Telescopes
Mathematics, 2023 Accurate sky identification is one of the most important functions of an automated telescope mount. The more accurately the robotic telescope is navigated to the investigated part of the sky, the better the observations and discoveries made.
V. Savanevych +4 more
semanticscholar +1 more source
Erratum to: From locality to irregularity: introducing local quenches in massive scalar field theory
Journal of High Energy Physics, 2023 A correction to this paper has been published: https://doi.org/10.1007/JHEP05(2023 ...
Dmitry S. Ageev +2 more
doaj +1 more source
Fuel Consumption Prediction Models Based on Machine Learning and Mathematical Methods
Journal of Marine Science and Engineering, 2023 An accurate fuel consumption prediction model is the basis for ship navigation status analysis, energy conservation, and emission reduction. In this study, we develop a black-box model based on machine learning and a white-box model based on mathematical
Xianwei Xie +5 more
semanticscholar +1 more source
From locality to irregularity: introducing local quenches in massive scalar field theory
Journal of High Energy Physics, 2023 In this paper, we initiate the study of operator local quenches in non-conformal field theories. We consider the dynamics of excited local states in massive scalar field theory in an arbitrary spacetime dimension and generalize the well-known two ...
Dmitry S. Ageev +2 more
doaj +1 more source
Scientific Reports, 2021 Structural identifiability is a binary property that determines whether or not unique parameter values can, in principle, be estimated from error-free input–output data.
Dominique Joubert +2 more
doaj +1 more source
Ambiguous genes due to aligners and their impact on RNA-seq data analysis
Scientific Reports, 2023 The main scope of the study is ambiguous genes, i.e. genes whose expression is difficult to estimate from the data produced by next-generation sequencing technologies.
Alicja Szabelska-Beresewicz +3 more
doaj +1 more source