1,720,960 research outputs found
A Roman Carved Tale Modelled in 3D and Interpreted with AI
Full text linkThis study proposes an innovative methodology for documenting and semantically analysing cultural heritage by integrating artificial intelligence (AI) with a photogrammetric 3D model. The case study is the Trajan’s Column in Rome, a monumental structure adorned with a continuous helical relief depicting Emperor Trajan’s Dacian campaigns. AI-driven semantic segmentation is used to identify key elements (such as human figures, battle scenes and natural motifs) within the digitised sculptural narrative. Starting from a high-resolution photogrammetric 3D model, the column’s texture is divided into multiple segments and a multimodal large language model (MLLM) is applied to produce context-aware segmentation masks via natural language prompts. Results are then projected onto the 3D geometry and visualised through a web-based 3D viewer
Surface Reconstruction Assessment in Photogrammetric Applications
No full textThe image-based 3D reconstruction pipeline aims to generate complete digital representations of the recorded scene, often in the form of 3D surfaces. These surfaces or mesh models are required to be highly detailed as well as accurate enough, especially for metric applications. Surface generation can be considered as a problem integrated in the complete 3D reconstruction workflow and thus visibility information (pixel similarity and image orientation) is leveraged in the meshing procedure contributing to an optimal photo-consistent mesh. Other methods tackle the problem as an independent and subsequent step, generating a mesh model starting from a dense 3D point cloud or even using depth maps, discarding input image information. Out of the vast number of approaches for 3D surface generation, in this study, we considered three state of the art methods. Experiments were performed on benchmark and proprietary datasets of varying nature, scale, shape, image resolution and network designs. Several evaluation metrics were introduced and considered to present qualitative and quantitative assessment of the results
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Large-scale structural controls on hot spring mineral deposits of geothermal systems (Mt. Amiata, Italy) highlighted by machine learning algorithms?
No full textThe cinnabar (±stibnite) deposits of the Mt. Amiata geothermal system and the associated hot springs and gas vents, occur along a N-S directed, narrow longitude region. In this study, we combine a geological and geophysical dataset gathered from the early stages of geothermal exploration of the district with a multivariate statistical analysis carried out by Machine Learning (ML) algorithms to highlight possible correlations between the distribution of the geothermal expressions of Mt. Amiata and its geological/structural features. We used 5 distinct ML supervised models (Ordinary Least Squares Linear Regressor, Multilayer Perceptron Regressor, Support Vector Regressor, CatBoost, and Random Forest) to determine which set of geological or geochemical features of the dataset reproduces the distribution of the geothermal expressions of the area with sufficient accuracy. The regressors CatBoost and Random Forest, which use decision trees for probability calculations, are the most efficient in predicting the narrow-longitude distribution of the geothermal expressions of Mt. Amiata. Also, the only combination of predictors generating probability maps that accurately reproduce the distribution of the geothermal expressions is the one considering permeability, Hg solubility, T, and distances from faults and folds. This shows that only a combination of geological/geochemical factors can explain the peculiar regional distribution
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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