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Rozprawy doktorskie na temat „Land-based learning”

Autor: Grafiati

Data publikacji: 5 czerwca 2025

Data aktualizacji: 2 sierpnia 2025

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Manjunatha, Bharadwaj Sandhya. "Land Cover Quantification using Autoencoder based Unsupervised Deep Learning." Thesis, Virginia Tech, 2020. http://hdl.handle.net/10919/99861.

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This work aims to develop a deep learning model for land cover quantification through hyperspectral unmixing using an unsupervised autoencoder. Land cover identification and classification is instrumental in urban planning, environmental monitoring and land management. With the technological advancements in remote sensing, hyperspectral imagery which captures high resolution images of the earth's surface across hundreds of wavelength bands, is becoming increasingly popular. The high spectral information in these images can be analyzed to identify the various target materials present in the ima

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Marian, John Baptist III. "Questioning Indian land workshop: a ceremony based approach to learning." Thesis, Montana State University, 2012. http://etd.lib.montana.edu/etd/2012/marian/MarianJ1212.pdf.

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Tafoya suggests, "Stories go in circles." This thesis is the story of learning to implement an indigenous research paradigm in a college classroom then designing the workshop because of the relationships formed together. First the thesis describes preparing for the research ceremony then focusing those relationships through the lens of Research is Ceremony. Followed by summarizing how the workshop functioned as a ceremony. Then characterizing how the four directions guided the evolution of the relational workshop. The research paradigm exemplified by indigenous scholar Shawn Wilson i

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Black, James Noel. "Development of a Support-Vector-Machine-based Supervised Learning Algorithm for Land Cover Classification Using Polarimetric SAR Imagery." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/85391.

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Land cover classification using Synthetic Aperture Radar (SAR) data has been a topic of great interest in recent literature. Food commodities output prediction through crop identification, environmental monitoring, and forest regrowth tracking are some of the many problems that can be aided by land cover classification methods. The need for fast and automated classification methods is apparent in a variety of applications involving vast amounts of SAR data. One fundamental step in any supervised learning classification algorithm is the selection and/or extraction of features present in the

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Bhatt, Deepak. "Computer Aided Algorithms Based on Mathematics and Machine Learning for Integrated GPS and INS Land Vehicle Navigation Systems." University of Toledo / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1386876868.

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Feng, Wei. "Investigation of training data issues in ensemble classification based on margin concept : application to land cover mapping." Thesis, Bordeaux 3, 2017. http://www.theses.fr/2017BOR30016/document.

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La classification a été largement étudiée en apprentissage automatique. Les méthodes d’ensemble, qui construisent un modèle de classification en intégrant des composants d’apprentissage multiples, atteignent des performances plus élevées que celles d’un classifieur individuel. La précision de classification d’un ensemble est directement influencée par la qualité des données d’apprentissage utilisées. Cependant, les données du monde réel sont souvent affectées par les problèmes de bruit d’étiquetage et de déséquilibre des données. La marge d'ensemble est un concept clé en apprentissage d'ensemb

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Couch, Evan. "“You Can’t Put a Price on Something That’s Not for Sale”: Eminent Domain in St. Paul, Virginia (1970 - 1985)." Digital Commons @ East Tennessee State University, 2018. https://dc.etsu.edu/etd/3353.

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The St. Paul Redevelopment Project was unique and touted as the first-of-its-kind to feature cooperation from all three levels of government. Several government agencies helped St. Paul accomplish an “impossible dream,” spending an estimated thirty million dollars to rechannel the Clinch River in the 1970s and 1980s. The small town of 1,000 residentsrelocated 100 families from South St. Paul to carry out the project, much to the dismay of many of the residents. A primary factor in enforcing the power of eminent domain in the St. Paul Redevelopment Project was the idea of “progress,” a commonal

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Backhaus, Vincent Stuart. "Situating the countried existence of critical indigenous pedagogies & Aborginal and Torres Strait Islander student's ways of learning." Thesis, University of Cambridge, 2019. https://www.repository.cam.ac.uk/handle/1810/288428.

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The Countried experience of Aboriginal and Torres Strait Islander Peoples of (Australia), ground a resilience and strength in sovereign thinking through the Stories we share laterally with family and inter-ancestrally through our connections to the Dreaming. The stories we share develop a sense of inalienability we have that is connected to the Countries of origin we share and identify with across the continental scape of Land, Water and Sky Country. As a formative philosophical assumption, the Countried existence that this dissertation develops, illuminates the significance of this research t

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Sievert, Rolf. "Instance Segmentation of Multiclass Litter and Imbalanced Dataset Handling : A Deep Learning Model Comparison." Thesis, Linköpings universitet, Datorseende, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-175173.

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Instance segmentation has a great potential for improving the current state of littering by autonomously detecting and segmenting different categories of litter. With this information, litter could, for example, be geotagged to aid litter pickers or to give precise locational information to unmanned vehicles for autonomous litter collection. Land-based litter instance segmentation is a relatively unexplored field, and this study aims to give a comparison of the instance segmentation models Mask R-CNN and DetectoRS using the multiclass litter dataset called Trash Annotations in Context (TACO) i

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Zhou, Shijin. "Project learning, knowledge transfer and the adoption of innovation in project-based organizations." Thesis, University of Nottingham, 2017. http://eprints.nottingham.ac.uk/45166/.

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This doctoral thesis aims to explore the innovation adoption process in project-based organizations. In particular, I developed a theoretical framework that explains how intra- and inter- project learning influenced by different management practices. I further generated various hypotheses based on the conceptual framework by conducting qualitative interviews. Empirically, I used survey data to test those hypotheses. I collected data from 147-construction industry, most of the companies were contractors and real estate companies. The results strongly support our hypotheses and suggest that diff

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Oshri, Ilan. "Cross-project learning : a study based on the Israeli electronics defence industry." Thesis, University of Warwick, 2002. http://wrap.warwick.ac.uk/3643/.

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This thesis alms to develop a comprehensive understanding of cross-project learning in multiple-project environments. Cross-project learning is the process through which technologies are transferred and reused within organisations. Recent years have seen a growing interest in cross-project learning. However, research in this area has emphasised the rational, classical approach to crossproject learning. Also, the majority of research on cross-project learning has largely been on the automobile industry in Japan and the USA. Thirdly, research in this field has failed to assess the impact that cr

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Bayoudh, Meriam. "Apprentissage de connaissances structurelles à partir d’images satellitaires et de données exogènes pour la cartographie dynamique de l’environnement amazonien." Thesis, Antilles-Guyane, 2013. http://www.theses.fr/2013AGUY0671/document.

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Les méthodes classiques d'analyse d'images satellites sont inadaptées au volume actuel du flux de données. L'automatisation de l'interprétation de ces images devient donc cruciale pour l'analyse et la gestion des phénomènes observables par satellite et évoluant dans le temps et l'espace. Ce travail vise à automatiser la cartographie dynamique de l'occupation du sol à partir d'images satellites, par des mécanismes expressifs, facilement interprétables en prenant en compte les aspects structurels de l'information géographique. Il s'inscrit dans le cadre de l'analyse d'images basée objet. Ainsi,

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Jahanshahi, Kaveh. "Quantification of the influences of built-form upon travel of employed adults : new models based on the UK National Travel Survey." Thesis, University of Cambridge, 2017. https://www.repository.cam.ac.uk/handle/1810/267841.

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After decades of research, a host of analytical difficulties is still hindering our understanding of the influences of the built form on travel. The main challenges are (a) assembling good quality data that reflects the majority of the known influences and that supports continuous monitoring, and (b) making sense methodologically of the many variables which strongly intercorrelate. This study uses the UK national travel survey (NTS) data that is among the most comprehensive of its form in the world. The fact that it has rarely been used so far for this purpose may be attributable to the method

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Parker, Aliana Violet. "Learning the language of the land." Thesis, 2012. http://hdl.handle.net/1828/4106.

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Indigenous worldviews are essential to successful language education, yet it remains a challenge to integrate them into current frameworks dominated by Western paradigms and pedagogies. This research addresses one aspect of the maintenance of cultural integrity for Indigenous languages as they are taught in a contemporary context. The purpose of this research is twofold: to explore the connections between Indigenous languages and the land, and to see how these connections are reflected in current language education practices. In particular, the study looks at the use of websites for Indigenous

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Yang, Chu-Chun, and 楊筑鈞. "Deep Learning-Based Land Cover Classification Using Airborne Lidar and Aerial Imagery." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/fv26ta.

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碩士<br>國立交通大學<br>土木工程系所<br>107<br>Land cover classification has always been a critical issue. People tried to learn information from the distribution of land cover; as it may affect climate, environment or structure of society. Land cover information can be extracted from spectral feature, geometrical feature or data fusion approach. Spectral and geometrical features can be provided from airborne LiDAR and aerial imagery, respectively. The supervised deep learning method is applied to this research for land cover classification. Deep learning is able to learn more complex scenes by the means of

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Landman, J. C. "The development of selected learning units in land administration to facilitate the land reform programme." Thesis, 2003. http://hdl.handle.net/10413/4152.

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With the introduction of a new government in South Africa in 1994, the country embarked on a programme of land reform, and currently the process of dealing with the issues of Land Redistribution, Land Restitution and Tenure Reform is underway. Sound land administration is crucial to the Land Reform programme, and to future peace in the country. Such land administration requires a range of role players with varying levels of education. Also in the field of education the country saw a complete break away from the system of content-based education and competency based training, to one of outcome

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Rose, Spencer. "An evaluation of deep learning semantic segmentation for land cover classification of oblique ground-based photography." Thesis, 2020. http://hdl.handle.net/1828/12156.

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This thesis presents a case study on the application of deep learning methods for the dense prediction of land cover types in oblique ground-based photography. While deep learning approaches are widely used in land cover classification of remote-sensing data (i.e., aerial and satellite orthoimagery) for change detection analysis, dense classification of oblique landscape imagery used in repeat photography remains undeveloped. A performance evaluation was carried out to test two state-of the-art architectures, U-net and Deeplabv3+, as well as a fully-connected conditional random fields model us

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Lin, Cheng-Hsi, and 林程熹. "The place-based curriculum and indigenous pupils' attitudes of science learning: Land and water in Truku." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/3bb27a.

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碩士<br>國立東華大學<br>課程設計與潛能開發學系<br>103<br>This study aims to use place-based curriculum subjects, with nature and life science and technology education curriculum activities. By the familiar hometown course materials, guide the students to take the initiative on learning, careful observation, to be fond of everything from their hometown. Investigate the students’ achievement on learning science, protect the environment of their hometown, and changes on the concept of attitudes of science learning after the education curriculum activities. 　　The subjects are the twenty-two fifth and sixth grade st

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Gruner, Sheila. "Learning Land and Life: An Institutional Ethnography of Land Use Planning and Development in a Northern Ontario First Nation." Thesis, 2012. http://hdl.handle.net/1807/33200.

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This study examines intricately related questions of consciousness and learning, textually-mediated social coordination, and human relationships within nature, anchored in the everyday life practices and concerns of a remote First Nation community in the Treaty 9 region. Through the use of Institutional Ethnography, community-based research and narrative methods, the research traces how the ruling relations of land use planning unfold within the contemporary period of neoliberal development in Northern Ontario. People’s everyday experiences and access to land in the Mushkego Inninowuk (Swampy

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"Practicing Community-based Truku (Indigenous) Language Policy: Dialogues of Hope at the Intersection of Language Revitalization, Identity Development, and Community Rebuilding." Doctoral diss., 2014. http://hdl.handle.net/2286/R.I.25058.

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abstract: The dissertation focuses on one Truku (Indigenous) village in eastern Taiwan and aims to understand the processes and possibilities of bottom-up language revitalization. In 2012, the National Geographic Genographic Legacy Fund supported the village to start a community-driven language revitalization initiative. Drawing on scholarship guided by critical Indigenous research methodologies, critical sociocultural approaches to language policy and planning, and sociocultural approaches to learning, this study is an attempt to generate qualitative ethnographic research to facilitate local

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Fogarty, William. "'Learning through country : competing knowledge systems and place based pedagogy'." Phd thesis, 2010. http://hdl.handle.net/1885/11712.

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This thesis exposes the dichotomies and binaries that have characterised theoretical and political discourses in the provision of remote Indigenous education in Australia. The research finds that ideological tensions and over simplified notions of biculturalism in Indigenous affairs have dominated policy settings, resulting in compromised pedagogy at the classroom level. The research also finds that a structural disconnect exists in remote Indigenous education between schools, community and work at a local level. This disconnect is perpetuated by a failure of remote educational provisio

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Stevens, Shannon Rae. "Collaborating in the electric age: [onto]Riffological experiments in posthumanizing education and theorizing a machinic arts-based research." Thesis, 2021. http://hdl.handle.net/1828/12665.

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Collaborating in the Electric Age: [onto]Riffological Experiments in Posthumanizing Education and Theorizing a Machinic Arts-Based Research is a study about locating opportunities and entry points for introducing consideration of the nonhuman and posthuman to pedagogical perspectives that are traditionally concerned with human beings and epistemological subjects. The research, herein, engages doings in collaborative effort, during conditions of unprecedented interconnectedness facilitated by the electric age. Steeped in a environment thus created by technologies’ immense ubiquity and influen

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