Thematische Bibliographien / Learning artifact

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Zeitschriftenartikel
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Auswahl der wissenschaftlichen Literatur zum Thema „Learning artifact“

Autor: Grafiati

Veröffentlicht am 25. Juni 2021

Zuletzt aktualisiert am 29. Juli 2025

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Zeitschriftenartikel zum Thema "Learning artifact"

Fahrenbach, Florian, Kate Revoredo, and Flavia Maria Santoro. "Valuing prior learning." European Journal of Training and Development 44, no. 2/3 (2019): 209–35. http://dx.doi.org/10.1108/ejtd-05-2019-0070.

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Purpose This paper aims to introduce an information and communication technology (ICT) artifact that uses text mining to support the innovative and standardized assessment of professional competences within the validation of prior learning (VPL). Assessment means comparing identified and documented professional competences against a standard or reference point. The designed artifact is evaluated by matching a set of curriculum vitae (CV) scraped from LinkedIn against a comprehensive model of professional competence. Design/methodology/approach A design science approach informed the development

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Yan, Jinlin, and Yu Chen. "Artifact Elimination of Eeg Signals Based on Deep Learning: Survey." International Journal of Research Publication and Reviews 03, no. 12 (2022): 1320–28. http://dx.doi.org/10.55248/gengpi.2022.31236.

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Electroencephalogram (EEG) plays an important role in measuring human status and activities. EEG signals come from weak currents and are very vulnerable to artifact pollution, which affects the performance of many EEG tasks. It is crucial to develop methods that can effectively identify and remove artifacts. In the past, researchers have proposed a variety of methods to eliminate artifacts, but there is still no method to achieve the best effect. With the rapid development of deep learning, the new method has made excellent progress in eliminating artifacts. Compared with traditional methods,

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He, Ruonan, Yi Chen, Yufei Jiang, et al. "Deep Learning Realizes Photoacoustic Imaging Artifact Removal." Applied Sciences 14, no. 12 (2024): 5161. http://dx.doi.org/10.3390/app14125161.

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Photoacoustic imaging integrates the strengths of optics and ultrasound, offering high resolution, depth penetration, and multimodal imaging capabilities. Practical considerations with instrumentation and geometry limit the number of available acoustic sensors and their “view” of the imaging target, which result in image reconstruction artifacts degrading image quality. To address this problem, YOLOv8-Pix2Pix is proposed as a hybrid artifact-removal algorithm, which is advantageous in comprehensively eliminating various types of artifacts and effectively restoring image details compared to exi

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Nachlieli, Hila, Hadas Kogan, Morad Awad, Doron Shaked, and Smadar Shiffman. "Learning Print Artifact Detectors." Conference on Colour in Graphics, Imaging, and Vision 6, no. 1 (2012): 81–85. http://dx.doi.org/10.2352/cgiv.2012.6.1.art00015.

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Huang, Mei, Gang Li, Rui Sun, et al. "Sparse-View Artifact Correction of High-Pixel-Number Synchrotron Radiation CT." Applied Sciences 14, no. 8 (2024): 3397. http://dx.doi.org/10.3390/app14083397.

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High-pixel-number synchrotron radiation computed tomography (CT) has the advantages of high sensitivity, high resolution, and a large field of view. It has been widely used in biomedicine, cultural heritage research, non-destructive testing, and other fields. The Nyquist sampling theorem states that when the detector’s pixels per row are increased, it requires more CT projections, resulting in a lengthened CT scan time and increased radiation damage. Sparse-view CT can significantly reduce radiation damage and improve the projection data acquisition speed. However, there is insufficient sparse

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Kromrey, M. L., D. Tamada, H. Johno, et al. "Reduction of respiratory motion artifacts in gadoxetate-enhanced MR with a deep learning–based filter using convolutional neural network." European Radiology 30, no. 11 (2020): 5923–32. http://dx.doi.org/10.1007/s00330-020-07006-1.

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Abstract Objectives To reveal the utility of motion artifact reduction with convolutional neural network (MARC) in gadoxetate disodium–enhanced multi-arterial phase MRI of the liver. Methods This retrospective study included 192 patients (131 men, 68.7 ± 10.3 years) receiving gadoxetate disodium–enhanced liver MRI in 2017. Datasets were submitted to a newly developed filter (MARC), consisting of 7 convolutional layers, and trained on 14,190 cropped images generated from abdominal MR images. Motion artifact for training was simulated by adding periodic k-space domain noise to the images. Origin

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Stalin, Shalini, Vandana Roy, Prashant Kumar Shukla, et al. "A Machine Learning-Based Big EEG Data Artifact Detection and Wavelet-Based Removal: An Empirical Approach." Mathematical Problems in Engineering 2021 (October 7, 2021): 1–11. http://dx.doi.org/10.1155/2021/2942808.

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The electroencephalogram (EEG) signals are a big data which are frequently corrupted by motion artifacts. As human neural diseases, diagnosis and analysis need a robust neurological signal. Consequently, the EEG artifacts’ eradication is a vital step. In this research paper, the primary motion artifact is detected from a single-channel EEG signal using support vector machine (SVM) and preceded with further artifacts’ suppression. The signal features’ abstraction and further detection are done through ensemble empirical mode decomposition (EEMD) algorithm. Moreover, canonical correlation analys

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Zou, Huachun, Zonghuo Wang, Mengya Guo, et al. "Metal artifact reduction combined with deep learning image reconstruction algorithm for CT image quality optimization: a phantom study." PeerJ 13 (June 4, 2025): e19516. https://doi.org/10.7717/peerj.19516.

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Background Aiming to evaluate the effects of the smart metal artifact reduction (MAR) algorithm and combinations of various scanning parameters, including radiation dose levels, tube voltage, and reconstruction algorithms, on metal artifact reduction and overall image quality, to identify the optimal protocol for clinical application. Methods A phantom with a pacemaker was examined using standard dose (effective dose (ED): 3 mSv) and low dose (ED: 0.5 mSv), with three scan voltages (70, 100, and 120 kVp) selected for each dose. Raw data were reconstructed using 50% adaptive statistical iterati

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Pancholi, Deepak, Rajeev Goyal, Paresh Rawat, Linda Elzubir Gasm Alsid, and Prince Jain. "Multi class EEG artifacts classification and removal using adaptive neural filter." Intelligent Decision Technologies 19, no. 2 (2024): 943–60. https://doi.org/10.1177/18724981241299612.

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Numerous adaptive filtering methods have been developed to enhance the quality of electroencephalogram (EEG) signals and thereby improve the efficacy of artifact removal and classification. The goal of this work is to categorize and remove artificial, eye blink, and muscle motion artifacts. An adaptive neural network (NN) based filter is proposed to simultaneously suppress all motion artifacts. To increase classification accuracy, an extended statistical feature set is employed. Using hybrid principal component analysis (PCA) and quadratic support vector machine (SVM) kernel combinations based

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Nishit Agarwal, Venkata Ramanaiah Chintha, Raja Kumar Kolli, Om Goel, and Raghav Agarwal. "Deep Learning for Real time EEG Artifact Detection in Wearables." International Journal for Research Publication and Seminar 13, no. 5 (2022): 402–33. http://dx.doi.org/10.36676/jrps.v13.i5.1510.

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Electroencephalography (EEG) has become a valuable tool for monitoring brain activity in both clinical and consumer applications. However, EEG signals collected from wearable devices are often disrupted by artifacts such as eye blinks, muscle movements, and external noise, which can severely compromise the accuracy of real-time analysis. Traditional methods for artifact detection and removal rely on manual techniques or simple filtering, making them unsuitable for continuous, real-time applications, particularly in mobile and wearable devices. This study explores the use of deep learning for r

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Dissertationen zum Thema "Learning artifact"

Eireflet, Johan, and Buhtoo Helen Petersson. "Det nya verktyget : En undersökning av förskollärares upplevelser med surfplattan." Thesis, Högskolan i Halmstad, Akademin för lärande, humaniora och samhälle, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-28141.

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The aim of this thesis is to study preschool-teachers’ experiences from using the computer tablet as a tool for learning and teaching, in order to gain knowledge of how the integrational process of information and communications technology (ICT) in preschool has progressed since its instatement. The background that caused interest to make this study was the rapid progression of the use of ICT-tools in childrens’ everyday lives and the troubles that have surrounded the process of integrating these tools into preschool-practices. The theoretical basis for the analysis of the research lies within

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Dumas, Kuchling Janine. "1:1 Digital devices and preparatory school teachers’ classroom practices." Diss., University of Pretoria, 2020. http://hdl.handle.net/2263/80435.

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In this study, the influence of a 1:1 digital device on South African preparatory school teachers’ perceptions regarding their classroom practices is described. The focus is on the Chromebook as an ‘artifact’ of learning. Digital technology is becoming prevalent in all education spheres and, subsequently, interest in this topic is growing. In order to create an environment where optimal learning takes place, teachers and pupils should adapt their learning and teaching methods to embrace the effects of technology. Teachers are at the forefront of education and education trends involving digital

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Zhou, Yi. "Graph-based Mix-out Networks for Video Restoration." Thesis, The University of Sydney, 2019. https://hdl.handle.net/2123/21487.

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The video restoration task aims to generate clear and high-quality videos from those noisy or blurry low-quality videos. Different from image restoration tasks, the temporal information is an additional data dimension in videos and it plays a key role in video restoration task. Therefore, how to effectively take the full advantage of the inter-frame temporal information is a challenging problem for recovering video quality. Current approaches attempt to either warp the features based on the estimated motion modality before post-processing or fuse the features (e.g. concatenation) only once at

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Riblett, Matthew J. "Motion-Induced Artifact Mitigation and Image Enhancement Strategies for Four-Dimensional Fan-Beam and Cone-Beam Computed Tomography." VCU Scholars Compass, 2018. https://scholarscompass.vcu.edu/etd/5542.

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Four dimensional imaging has become part of the standard of care for diagnosing and treating non-small cell lung cancer. In radiotherapy applications 4D fan-beam computed tomography (4D-CT) and 4D cone-beam computed tomography (4D-CBCT) are two advanced imaging modalities that afford clinical practitioners knowledge of the underlying kinematics and structural dynamics of diseased tissues and provide insight into the effects of regular organ motion and the nature of tissue deformation over time. While these imaging techniques can facilitate the use of more targeted radiotherapies, issues surrou

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Gibbs, Béatrice. "Wii lär oss dansa? : Om dansspel, rörelsekvaliteter och lärande i idrott och hälsa." Licentiate thesis, Gymnastik- och idrottshögskolan, GIH, Forskningsgruppen för pedagogik, idrott och fritidskultur, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:gih:diva-3345.

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Few studies have focused on how learning takes place in physical education and health (PEH) practices, and even more so in relation to artifact use. Dance is a core content in the Swedish curriculum, but according to previous research it nevertheless rarely occurs in practice due to many teachers’ lack of knowledge. Movement qualities are something that students are supposed to develop in the subject, where dance can be used as a form of activity. The aim of the licentiate thesis is to examine students’ use and development of different movement qualities in a learning process where dance exerg

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De, Piano Angela. "Prassi didattiche e processi di apprendimento supportati da artefatti cognitivi nell'era del Web 2.0." Doctoral thesis, Università degli studi di Padova, 2012. http://hdl.handle.net/11577/3422088.

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The aim of this research is to analyze the theoretical beliefs of teachers in Italian secondary schools concerning the use of educational technologies and paying particular attention to Web 2.0 and multimedia interactive whiteboard. For this purpose, I interviewed Secondary School teachers to know their teaching practices and their theoretical beliefs. The aim of this study is to analyze in particular the correspondence between their theoretical beliefs and the theoretical assumptions of cognitivist and constructivist learning.<br>L’obiettivo della presente ricerca è quello di analizzare i pr

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Thorén, Mia. ""Och väggarna förvandlades till världen runtomkring" : pedagogers röster och praktiker kring att främja elevers fantasi och kreativitet i och genom fritidshemmets inomhusmiljö." Thesis, Högskolan Kristianstad, Fakulteten för lärarutbildning, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-20270.

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Betoningen i fritidshemmets och dess pedagogers uppdrag ligger på det som många gånger är oförutsägbart – lek, utforskande och kreativa arbetssätt samt att främja elevers fantasi och kreativitet. Fritidshemmet är även en fysisk plats – en komplex miljö där förväntningar om informellt lärande och omsorg ska iscensättas och ta plats. Den fysiska inomhusmiljön i fritidshemmet och pedagogernas roll i att använda den som en del av det pedagogiska uppdraget finns inte i detalj specificerat i styrdokumenten och är ett område som inte tidigare prioriterats högt i akademisk forskning, men kan ses vara

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Ghazi, Shabo Andira, and Amal Audish Basa Sarok. "Vilka beskrivningar avteknikämnet framkommer hosniondeklassare i grundskolan?" Thesis, KTH, Lärande, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-280878.

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Syftet med denna studie har varit att förstå hur högstadieelever i årskurs 9 i sex svenska skolor beskriver teknikämnet samt ta reda på vad de uppger att det de har lärt sig respektive vad de saknat kring innehåll i teknikämnet efter 9 år i grundskolan. Studien bygger på en enkätundersökning ifylld med hjälp av papper och penna. Respondenter fick svara på frågorkring vad de anser att teknik är, samt vad de har lärt sig och eventuellt saknat iteknikundervisningen under grundskolans gång. 252 enkäter delades ut och 250 besvarades. DiGirnonimos (2011) ramverk har använts för att kategorisera utta

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Bigenho, Christopher William. "Student reflections as artifacts of self-regulatory behaviors for learning: A tale of two courses." Thesis, University of North Texas, 2011. https://digital.library.unt.edu/ark:/67531/metadc103291/.

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The rapid growth of online and blended learning environments in both higher education and K-12, along with the development of innovative game based, narrative driven, problem-based learning (PBL) systems known as Alternate Reality Games (AltRG), has led to the need to understand student’s abilities to self-regulate their learning behaviors and practices in these novel environments. This study examines student reflections and e-mails related to self-regulatory practices for learning across two different course designs for an Internet-based course in computer applications. Both designs leverage

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Wetterlund, Simon. "Samiska politikers lärande : Rätten att få vara exkluderad och fortfarande vara inkluderad." Thesis, Uppsala universitet, Institutionen för pedagogik, didaktik och utbildningsstudier, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-254563.

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In this essay i present a study on political learning of a minority ethnicity whose political history in the institutional form began in 1993. The ethnicity in question is the Sami’s and in 1993 the Sami Parliament was established. The establishment of the Sami parliament radically changed the preconditions for political work. Sami politics came to be pursued in an organized manner in the form of a public authority and democratically elected units. In these study Sami politician's perceptions of political learning is investigated. Special attention is directed towards individual- as well as or

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Bücher zum Thema "Learning artifact"

1963-, Nehaniv Chrystopher L., and Dautenhahn Kerstin, eds. Imitation in animals and artifacts. MIT Press, 2002.

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Ivarsson, Jonas. Renderings & reasoning: Studying artifacts in human knowing. Acta Universitatis Gothoburgensis, 2004.

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Dillenbourg, Pierre. Interactive Artifacts and Furniture Supporting Collaborative Work and Learning. Springer Science+Business Media, LLC, 2009.

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Dillenbourg, Pierre, Jeffrey Huang, and Mauro Cherubini, eds. Interactive Artifacts and Furniture Supporting Collaborative Work and Learning. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-77234-9.

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Mantelli, Alessandro. E-learning sostenibile per la didattica del giapponese Progettare per l’apprendimento autonomo. Fondazione Università Ca’ Foscari, 2021. http://dx.doi.org/10.30687/978-88-6969-554-4.

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With the Lisbon 2000 Strategy, the focus of education systems has shifted from contents to competencies and due to the constant update of new technologies, education has to be considered as a lifelong process. In this context, online technologies play an increasingly crucial role. While research on learning software has mainly focused on the contents and digital medium in teaching, this study examines aspects of the digital artifacts that have been rarely investigated but are fundamental to increase the learner’s motivation, including system, interface, navigation, and graphics. Specifically,

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Buisson, édéric. Improving Your Team Performance: Learning Behavior, Artifact and Action Modalities. Independently Published, 2018.

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Ormrod, Jeanne Ellis. Artifact Case Studies: Interpreting Children's Work and Teachers' Classroom Strategies (Merrill Education Student Enrichment). Prentice Hall, 2003.

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Tschen-Emmons, James B. Artifacts from Medieval Europe. ABC-CLIO, LLC, 2015. http://dx.doi.org/10.5040/9798400614804.

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Using artifacts as primary sources, this book enables students to comprehensively assess and analyze historic evidence in the context of the medieval period. This new addition to the Daily Life through Artifacts series provides not only the full benefit of a reference work with its comprehensive explanations and primary sources, but also supplies images of the objects, bringing a particular aspect of the medieval world to life. Each entry in Artifacts from Medieval Europe explains and expands upon the cultural significance of the artifact depicted. Artifacts are divided into such thematic cate

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Tschen-Emmons, James B. Artifacts from Ancient Rome. ABC-CLIO, LLC, 2014. http://dx.doi.org/10.5040/9798400614798.

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When Roman objects and artifacts are properly analyzed, they serve as valuable primary sources for learning about ancient history. This book provides the guidance and relevant historical context students need to see relics as evidence of long-past events and society. Artifacts from Ancient Rome is a unique social history that explores major aspects of daily life in a long-ago era via images of physical objects and historical information about these items. This book also affords “hands-on training” on how to approach primary sources. The author—a historian also trained as an archaeologist—begin

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(Editor), Kerstin Dautenhahn, and Chrystopher L. Nehaniv (Editor), eds. Imitation in Animals and Artifacts (Complex Adaptive Systems). The MIT Press, 2002.

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Buchteile zum Thema "Learning artifact"

Trausan-Matu, Stefan, and James D. Slotta. "Artifact Analysis." In International Handbook of Computer-Supported Collaborative Learning. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65291-3_30.

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Giannakos, Michail. "Educational Interface Design and the Role of Artifacts." In Experimental Studies in Learning Technology and Child–Computer Interaction. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-14350-2_3.

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AbstractUser interfaces (UI) are an inherent part of any technology with human end-users. The design of the UI depends heavily on the intended end-user and is therefore extremely important for research in both learning technology (where the learner is the end-user) and CCI (where the child is the end-user). Another important concept of learning technology and CCI research (and also in neighboring fields) is that of “artifact”. Artifacts correspond to novel designs (which may be prototype systems, interfaces, materials, or procedures) that have a certain set of qualities or components (such as

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Cole, Mike. "Re-covering the Idea of a Tertiary Artifact." In Cultural-Historical Approaches to Studying Learning and Development. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6826-4_20.

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Hadaya, Pierre, Abderrahmane Leshob, and Julien Nicolas de Verteuil. "An Artifact for Learning the TOGAF Architecture Development Method." In Advances in E-Business Engineering for Ubiquitous Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34986-8_31.

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Wang, Hong, Qi Xie, Yuexiang Li, Yawen Huang, Deyu Meng, and Yefeng Zheng. "Orientation-Shared Convolution Representation for CT Metal Artifact Learning." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-16446-0_63.

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Huang, Yixing, Alexander Preuhs, Günter Lauritsch, Michael Manhart, Xiaolin Huang, and Andreas Maier. "Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior." In Machine Learning for Medical Image Reconstruction. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33843-5_10.

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Kim, Dong Kyu, and Sam Keene. "Fast Automatic Artifact Annotator for EEG Signals Using Deep Learning." In Biomedical Signal Processing. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67494-6_7.

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Cunnington, J. P. W., G. R. Norman, J. M. Blake, W. D. Dauphinee, and D. E. Blackmore. "Applying Learning Taxonomies to Test Items: Is a Fact an Artifact?" In Advances in Medical Education. Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-011-4886-3_40.

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Chavarrias-Solano, Pedro E., Mansoor Ali-Teevno, Gilberto Ochoa-Ruiz, and Sharib Ali. "Improving Artifact Detection in Endoscopic Video Frames Using Deep Learning Techniques." In Advances in Computational Intelligence. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-19493-1_26.

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Slavescu, Radu Razvan, Ioan Catalin Sporis, Kriszta Gombos, and Kinga Cristina Slavescu. "Exploring Two Deep Learning Based Solutions for Improving Endoscopy Artifact Detection." In IFMBE Proceedings. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93564-1_12.

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Konferenzberichte zum Thema "Learning artifact"

Huang, Yanshu, Ji Zhou, He Chen, and Xiaoli Li. "The Artifact Removal Algorithm for EEG Based on Contrastive Learning." In 2024 International Conference on Intelligent Robotics and Automatic Control (IRAC). IEEE, 2024. https://doi.org/10.1109/irac63143.2024.10871678.

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Ren, KaiYi, Guannan Liu, Xu Ji, Shengqi Kan, Yikun Zhang, and Yang Chen. "Deep learning-based ring artifact removal algorithm with inter-slice complementarity." In Optics in Health Care and Biomedical Optics XIV, edited by Qingming Luo, Xingde Li, Ying Gu, and Dan Zhu. SPIE, 2024. http://dx.doi.org/10.1117/12.3035254.

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Liu, Chengcheng, Matteo Ferrara, Annalisa Franco, Guido Borghi, and Dexing Zhong. "Differential Morphing Attack Detection via Triplet-Based Metric Learning and Artifact Extraction." In 2024 International Conference of the Biometrics Special Interest Group (BIOSIG). IEEE, 2024. https://doi.org/10.1109/biosig61931.2024.10786732.

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Binte Ahmed, Sheikh Farhana, Nazmus Sakib, Mohammad Rakibul Islam, Tasnuva Faruk, and Md Kafiul Islam. "Machine Learning Approaches for Motion Artifact Identification and Classification from EEG Signal." In 2024 7th Asia Conference on Cognitive Engineering and Intelligent lnteraction (CEII). IEEE, 2024. https://doi.org/10.1109/ceii65291.2024.00012.

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Lee, Matthew, Yuan Gao, Jonathan Wu, Chris McIntosh, and Daniel Franklin. "Development of deep learning models for motion artifact mitigation in wearable PPG devices." In Biophotonics in Exercise Science, Sports Medicine, Health Monitoring Technologies, and Wearables VI, edited by Babak Shadgan and Amir H. Gandjbakhche. SPIE, 2025. https://doi.org/10.1117/12.3039622.

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Sakib, Nazmus, Kafiul Islam, and Tasnuva Faruk. "Effect of Artifact Removal in Machine Learning Based Anxiety Screening Using EEG Signal." In 2025 4th International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST). IEEE, 2025. https://doi.org/10.1109/icrest63960.2025.10914438.

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Wang, Lu Lu, Xiao Juan Zhao, and Hong Cheng Ma. "Research on Artifact Removal in Brain-Computer Interfaces Based on Deep Learning Fusion Algorithm." In 2025 4th International Symposium on Computer Applications and Information Technology (ISCAIT). IEEE, 2025. https://doi.org/10.1109/iscait64916.2025.11010512.

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Hui, Zeji, Wei Qin Chuah, Amirali Khodadadian Gostar, Alireza Bab-Hadiashar, and Ruwan Tennakoon. "LAF-NeRF: Learning Artifact-Free Neural Radiance Fields from Un-Curated Image Collections with Corruptions." In 2024 International Conference on Digital Image Computing: Techniques and Applications (DICTA). IEEE, 2024. https://doi.org/10.1109/dicta63115.2024.00019.

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Vasiliou, Christina. "Collaborative Learning In An Artifact Ecology." In the 2015 International Conference. ACM Press, 2015. http://dx.doi.org/10.1145/2817721.2820987.

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Niu, Chuang, Mengzhou Li, and Ge Wang. "Multi-window learning for metal artifact reduction." In Developments in X-Ray Tomography XIII, edited by Bert Müller and Ge Wang. SPIE, 2021. http://dx.doi.org/10.1117/12.2596239.

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Berichte der Organisationen zum Thema "Learning artifact"

Chang, Chihway, Alex Drlica-Wagner, Brian Nord, Donah, Michelle Wang, and Michael H. L. S. Wang. A Machine Learning Approach to the Detection of Ghosting Artifacts in Dark Energy Survey Images. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1594126.

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Lawley, C. J. M., P. Giddy, L. Katz, et al. Canada geological map compilation. Natural Resources Canada/CMSS/Information Management, 2024. http://dx.doi.org/10.4095/pf995j5tgu.

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The Canada Geological Map Compilation (CGMC) is a database of previously published bedrock geological maps sourced from provincial, territorial, and other geological survey organizations. The geoscientific information included within these source geological maps was standardized, translated to English, and combined to provide complete coverage of Canada and support a range of down-stream machine learning applications. Detailed lithological, mineralogical, metamorphic, lithostratigraphic, and lithodemic information was not previously available as one national-scale product. The source map data

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Lawley, C. J. M., P. Giddy, L. Katz, et al. Canada geological map compilation. Natural Resources Canada/CMSS/Information Management, 2024. http://dx.doi.org/10.4095/332596.

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Guatemala: Past and Future. Inter-American Development Bank, 2007. http://dx.doi.org/10.18235/0006407.

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This exhibition, organized by the IDB Cultural Center in homage to Guatemala - site of the 48th Annual Meeting of the Board of Directors of the Inter-American Development Bank- has been conceived with an optimistic view toward the future while learning lessons from the past. It is likewise a propitious opportunity for the IDB to offer a tribute to the Maya Nation, recognizing its significant cultural legacy, for young Guatemalans who must now take up their country¿s hopes and goals, and meet their expectations. Guatemala: Past and Future comprises six modules organized in chronological order.T

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