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Dissertations / Theses on the topic 'Deed Cover'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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1

Doras, Guillaume. "Automatic cover detection using deep learning." Electronic Thesis or Diss., Sorbonne université, 2020. http://www.theses.fr/2020SORUS299.

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Les reprises (ou covers en anglais) sont des interprétations différentes d’une même œuvre musicale originale. Elles partagent typiquement une ligne mélodique ou une structure harmonique similaire, mais diffèrent généralement dans plusieurs autres dimensions, telles que la structure, l’instrumentation, le genre, etc. La détection automatique de covers est la tâche consistant à retrouver dans un corpus audio toutes les covers d’une chanson donnée. Elle a longtemps été considérée comme un problème théorique ardu et est récemment devenue un problème pratique posé par le développement de larges cor
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Schehl, Donald J. "Monitoring of thermoplastic pipes under deep cover." Ohio : Ohio University, 2000. http://www.ohiolink.edu/etd/view.cgi?ohiou1172865071.

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3

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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Bengana, M. (Mohamed). "Land cover and forest segmentation using deep neural networks." Master's thesis, University of Oulu, 2019. http://jultika.oulu.fi/Record/nbnfioulu-201905101715.

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Tiivistelmä. Land Use and Land Cover (LULC) information is important for a variety of applications notably ones related to forestry. The segmentation of remotely sensed images has attracted various research subjects. However this is no easy task, with various challenges to face including the complexity of satellite images, the difficulty to get hold of them, and lack of ready datasets. It has become clear that trying to classify on multiple classes requires more elaborate methods such as Deep Learning (DL). Deep Neural Networks (DNNs) have a promising potential to be a good candidate for the t
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5

Wang, Zhihao. "Land Cover Classification on Satellite Image Time Series Using Deep Learning Models." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu159559249009195.

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6

Velander, Alice, and Harrysson David Gumpert. "Do Judge a Book by its Cover! : Predicting the genre of book covers using supervised deep learning. Analyzing the model predictions using explanatory artificial intelligence methods and techniques." Thesis, Linköpings universitet, Datorseende, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-177691.

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In Storytel’s application on which a user can read and listen to digitalized literature, a user is displayed a list of books where the first thing the user encounters is the book title and cover. A book cover is therefore essential to attract a consumer’s attention. In this study, we take a data-driven approach to investigate the design principles for book covers through deep learning models and explainable AI. The first aim is to explore how well a Convolutional Neural Network (CNN) can interpret and classify a book cover image according to its genre in a multi-class classification task. The
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Ma, Zongjie. "Searching on Massive Graphs and Regularizing Deep Learning." Thesis, Griffith University, 2018. http://hdl.handle.net/10072/385875.

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We have designed di erent heuristics for both searching on Massive graphs and regularizing Deep Neural Networks in this work. Both the problem of nding a minimum vertex cover (MinVC) and the maximum edge weight clique (MEWC) in a graph are prominent NP-hard problems of great importance in both theory and application. During recent decades, there has been much interest in nding optimal or near-optimal solutions to these two problems. Many existing heuristic algorithms for MinVC are based on local search strategies. An algorithm called FastVC takes a rst step towards solving the MinVC problem
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8

Haque, Md Mominul. "Comparison of behavior of 1520 mm (60 in.) concrete pipe with SIDD design under deep cover." Ohio : Ohio University, 1998. http://www.ohiolink.edu/etd/view.cgi?ohiou1176497142.

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Haque, Md Mominul. "Comparison of behaviour of 1520 mm (60 in.) concrete pipe with sidd design under deep cover." Ohio University / OhioLINK, 1998. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1176497142.

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10

Litochlebová, Soňa. "Technologie výroby součásti tvářením." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2010. http://www.nusl.cz/ntk/nusl-229094.

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The thesis solves the efficient production of the sheetmetal cover. The new technological procedure will save two manufacturing operations deep drawing. The deep drawing of the cylindrical vessel with a flange and its following calibration in accordance with the design documentation was choosed. The last stage of the deep drawing is the construcion of the circular cut-out and its bending. By doing so the final shape of the cover will be reached.
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11

McKenzie, Joanne T. "Deep anthropogenic topsoils in Scotland : a geoarchaeological and historical investigation into distribution, character and conservation under modern land cover." Thesis, University of Stirling, 2006. http://hdl.handle.net/1893/203.

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Deep anthropogenic topsoils – those augmented through long-term additions of mineral bulk among fertilising agents – retain in both their physical and chemical make-up significant indicators for cultural activity. This project researched the geographical distribution and historical context of deep anthropogenic topsoils in Scotland and the Isles, and used this information to investigate the impact of current land cover upon the cultural information they retain. In so doing, the project investigated the potential for conservation of this significant cultural resource. A review of the historical
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12

Carpentier, Benjamin. "Deep Learning for Earth Observation: improvement of classification methods for land cover mapping : Semantic segmentation of satellite image time series." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-299578.

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Satellite Image Time Series (SITS) are becoming available at high spatial, spectral and temporal resolutions across the globe by the latest remote sensing sensors. These series of images can be highly valuable when exploited by classification systems to produce frequently updated and accurate land cover maps. The richness of spectral, spatial and temporal features in SITS is a promising source of data for developing better classification algorithms. However, machine learning methods such as Random Forests (RFs), despite their fruitful application to SITS to produce land cover maps, are structu
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13

Camel, Whisper Rae. "Where does a deer cross a road? Road and land-cover characteristics affecting deer crossing and mortality across the US 93 corridor on the Flathead Indian Reservation, Montana." Thesis, Montana State University, 2007. http://etd.lib.montana.edu/etd/2007/camel/CamelW0507.pdf.

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Reducing deer vehicle collisions (DVCs) on highways is an issue facing highway planners and wildlife managers. In western Montana, federal, state and tribal governments intend to reduce DVCs along a 51-mile stretch of US Highway 93 (US 93) on the Flathead Indian Reservation using on site reconstruction and highway engineering. This project was part of pre-construction wildlife monitoring that forms the baseline for evaluating effectiveness of mitigation measures associated with the US 93 reconstruction project. Road and landcover variables were recorded at randomly sampled locations along US 9
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14

Cai, Bill Yang. "Applications of deep learning and computer vision in large scale quantification of tree canopy cover and real-time estimation of street parking." Thesis, Massachusetts Institute of Technology, 2018. https://hdl.handle.net/1721.1/122317.

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Thesis: S.M., Massachusetts Institute of Technology, Computation for Design and Optimization Program, 2018<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 73-77).<br>A modern city generates a large volume of digital information, especially in the form of unstructured image and video data. Recent advancements in deep learning techniques have enabled effective learning and estimation of high-level attributes and meaningful features from large digital datasets of images and videos. In my thesis, I explore the potential of applying deep learning to image and
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Nielsen, Michael Meinild. "Inferring Land Use from Remote Sensing Imagery : A context-based approach." Doctoral thesis, Stockholms universitet, Kulturgeografiska institutionen, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-103082.

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This doctoral thesis investigates the potential of classification methods based on spatial context to infer specific forms of land use from remote sensing data. The problem is that some types of land use are characterized by a complex configuration of land covers that traditional per-pixel based methods have problems classifying due to spectral heterogeneity. The problem of spectral heterogeneity is also present in classification of high resolution imagery. Two novel methods based on contextual information are evaluated, Spatial Relational Post-Classification (SRPC) and Window Independent Cont
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Qiu, Chunping [Verfasser], Xiaoxiang [Akademischer Betreuer] Zhu, Xiaoxiang [Gutachter] Zhu, Michael [Gutachter] Schmitt, and Paolo [Gutachter] Gamba. "Deep Learning for Multi-Scale Mapping of Urban Land Cover from Space / Chunping Qiu ; Gutachter: Xiaoxiang Zhu, Michael Schmitt, Paolo Gamba ; Betreuer: Xiaoxiang Zhu." München : Universitätsbibliothek der TU München, 2020. http://d-nb.info/1220320080/34.

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Abidi, Azza. "Investigating Deep Learning and Image-Encoded Time Series Approaches for Multi-Scale Remote Sensing Analysis in the context of Land Use/Land Cover Mapping." Electronic Thesis or Diss., Université de Montpellier (2022-....), 2024. http://www.theses.fr/2024UMONS007.

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Cette thèse explore le potentiel de l'apprentissage automatique pour améliorer la cartographie de modèles complexes d'utilisation des sols et de la couverture terrestre à l'aide de données d'observation de la Terre. Traditionnellement, les méthodes de cartographie reposent sur la classification et l'interprétation manuelles des images satellites, qui sont sujettes à l'erreur humaine. Cependant, l'application de l'apprentissage automatique, en particulier par le biais des réseaux neuronaux, a automatisé et amélioré le processus de classification, ce qui a permis d'obtenir des résultats plus obj
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18

SOUZA, Edivan Rodrigues de. "Variabilidade espacial de propriedades físicas e químicas de um neossolo flúvico cultivado com cenoura irrigada com água moderamente salina." Universidade Federal Rural de Pernambuco, 2007. http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/4942.

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Submitted by (lucia.rodrigues@ufrpe.br) on 2016-07-05T11:23:22Z No. of bitstreams: 1 Edivan Rodrigues de Souza.pdf: 1105357 bytes, checksum: 872b1146ec684bad63978227ceff129f (MD5)<br>Made available in DSpace on 2016-07-05T11:23:22Z (GMT). No. of bitstreams: 1 Edivan Rodrigues de Souza.pdf: 1105357 bytes, checksum: 872b1146ec684bad63978227ceff129f (MD5) Previous issue date: 2007-02-26<br>Conselho Nacional de Pesquisa e Desenvolvimento Científico e Tecnológico - CNPq<br>An experiment has been performed aiming to evaluate the spatial-time variation patterns of soil humidity in an irrigate
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19

Masada, Teruhisa. "Structural performance of profile-wall plastic pipes under relatively shallow soil cover and subjected to large surface load." Ohio : Ohio University, 1996. http://www.ohiolink.edu/etd/view.cgi?ohiou1174611925.

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20

Podsiadło, Iwona Katarzyna. "Methods for the analysis of time series of multispectral remote sensing images and application to climate change variable estimations." Doctoral thesis, Università degli studi di Trento, 2021. http://hdl.handle.net/11572/322351.

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In the last decades, the increasing number of new generation satellite images characterized by a better spectral, spatial and temporal resolution with respect to the past has provided unprecedented source of information for monitoring climate changes.To exploit this wealth of data, powerful and automatic methods to analyze remote sensing images need to be implemented. Accordingly, the objective of this thesis is to develop advanced methods for the analysis of multitemporal multispectral remote sensing images to support climate change applications. The thesis is divided into two main parts an
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Ossi, Federico. "Ecological determinants of roe deer (Capreolus capreolus) spatial behavior and movement in limiting conditions." Thesis, Lyon 1, 2015. http://www.theses.fr/2015LYO10005.

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Pour la grande majorité des grands herbivores vivant en régions tempérées, l'hiver est la saison la plus limitante à cause des effets combinés du manque de ressources et de la sévérité des conditions climatiques. Les espèces qui ne développent pas d'adaptations morphologiques ou physiologiques particulières pour faire face à la sévérité de l'hiver doivent mettre en place des mouvements et des tactiques d'utilisation de l'espace appropriés (comme par exemple les migrations). Plus spécifiquement, ces patrons d'utilisation de l'espace peuvent émerger à différentes échelles spatio-temporelles pour
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22

Lukman, Heryawan. "A Computer-mediated Support for Writing Medical Notes with Coder's Perspective." Kyoto University, 2020. http://hdl.handle.net/2433/259072.

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付記する学位プログラム名: デザイン学大学院連携プログラム<br>Kyoto University (京都大学)<br>0048<br>新制・課程博士<br>博士(情報学)<br>甲第22804号<br>情博第734号<br>新制||情||125(附属図書館)<br>京都大学大学院情報学研究科社会情報学専攻<br>(主査)教授 黒田 知宏, 教授 吉川 正俊, 教授 緒方 広明<br>学位規則第4条第1項該当
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MAGGIOLO, LUCA. "Deep Learning and Advanced Statistical Methods for Domain Adaptation and Classification of Remote Sensing Images". Doctoral thesis, Università degli studi di Genova, 2022. http://hdl.handle.net/11567/1070050.

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In the recent years, remote sensing has faced a huge evolution. The constantly growing availability of remote sensing data has opened up new opportunities and laid the foundations for many new challenges. The continuous space missions and new constellations of satellites allow in fact more and more frequent acquisitions, at increasingly higher spatial resolutions, and at an almost total coverage of the globe. The availability of such an huge amount data has highlighted the need for automatic techniques capable of processing the data and exploiting all the available information. Meanwhile, the
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Ossi, Federico. "Ecological determinants of roe deer (Capreolus capreolus) spatial behavior and movement in limiting conditions." Doctoral thesis, country:FR, 2015. http://hdl.handle.net/10449/26494.

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For the majority of large ungulates living in temperate regions winter is the limiting season, because of the combined effects of lack of resource availability and severity of climatic conditions. Those species that did not develop any particular morphological and physiological adaptation to cope with winter severity may adopt movement and space use tactics instead (like e.g. migration). Specifically, these space use patterns may emerge at different spatiotemporal scales to allow individuals to accede the resources they need and escape unfavourable conditions, thus determining both individual
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Ndikumana, Emile. "Etude de la végétation à partir de nouveaux capteurs satellitaires radar." Electronic Thesis or Diss., Paris, AgroParisTech, 2018. http://www.theses.fr/2018AGPT0010.

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Dans cette thèse, nous nous intéressons à la manière dont les images SAR peuvent être utilisées pour étudier la végétation. La végétation est au coeur de la vie humaine en fournissant à la fois des ressources alimentaires, financières et en participant à la régulation du climat. Traditionnellement, la végétation est classée en trois catégories: les champs, les prairies irriguées et les forêts. Nous utiliserons ces trois catégories dans notre étude.Les travaux de cette thèse s’articulent autour de trois axes : (1) la cartographie de l’occupation du sol, (2) l’estimation des paramètres biophysiq
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Ottosson, Anton, and Viktor Karlstrand. "Gaussian Process Methods for Estimating Radio Channel Characteristics." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-289449.

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Gaussian processes (GPs) as a Bayesian regressionmethod have been around for some time. Since proven advant-ageous for sparse and noisy data, we explore the potential ofGaussian process regression (GPR) as a tool for estimating radiochannel characteristics.Specifically, we consider the estimation of a time-varyingcontinuous transfer function from discrete samples. We introducethe basic theory of GPR, and employ both GPR and its deep-learning counterpart deep Gaussian process regression (DGPR)for estimation. We find that both perform well, even with fewsamples. Additionally, we relate the chann
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Yesiler, M. Furkan. "Data-driven musical version identification: accuracy, scalability and bias perspectives." Doctoral thesis, Universitat Pompeu Fabra, 2022. http://hdl.handle.net/10803/673264.

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This dissertation aims at developing audio-based musical version identification (VI) systems for industry-scale corpora. To employ such systems in industrial use cases, they must demonstrate high performance on large-scale corpora while not favoring certain musicians or tracks above others. Therefore, the three main aspects we address in this dissertation are accuracy, scalability, and algorithmic bias of VI systems. We propose a data-driven model that incorporates domain knowledge in its network architecture and training strategy. We then take two main directions to further improve our
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Abecidan, Rony. "Stratégies d'apprentissage robustes pour la détection de manipulation d'images." Electronic Thesis or Diss., Centrale Lille Institut, 2024. http://www.theses.fr/2024CLIL0025.

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Aujourd'hui, la manipulation d'images à des fins non éthiques est courante, notamment sur les réseaux sociaux et dans la publicité. Les utilisateurs malveillants peuvent par exemple créer des images synthétiques convaincantes pour tromper le public ou dissimuler des messages dans des images numériques, posant des risques pour la sécurité nationale. Les chercheurs en analyse forensique d'image travaillent donc avec les forces de l'ordre pour détecter ces manipulations. Les méthodes d'analyse forensique les plus avancées utilisent notamment des réseaux neuronaux convolutifs pour les détecter. Ce
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"Land Use and Land Cover Classification Using Deep Learning Techniques." Master's thesis, 2016. http://hdl.handle.net/2286/R.I.38779.

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abstract: Large datasets of sub-meter aerial imagery represented as orthophoto mosaics are widely available today, and these data sets may hold a great deal of untapped information. This imagery has a potential to locate several types of features; for example, forests, parking lots, airports, residential areas, or freeways in the imagery. However, the appearances of these things vary based on many things including the time that the image is captured, the sensor settings, processing done to rectify the image, and the geographical and cultural context of the region captured by the image. This th
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Chang, Yu-ruey, and 張育瑞. "Fast Cover Song Retrieval in AAC Domain based on Deep Learning." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/16552950178279839832.

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碩士<br>國立中央大學<br>通訊工程學系<br>104<br>With the increasing of multimedia data, it becomes more and more important to quickly search the interests from large databases. Keyword annotation is the traditional approach, but it needs large amount of manual effort to annotate the keyword. As the size of data increases, the keyword annotation approach becomes infeasible. Content-based retrieval is more natural, it extracts features from music content to create a representation that overcomes human labeling errors. This thesis focuses on the AAC file which is widely used by streaming internet sources. Here
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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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Yang, Chen-Wei, and 楊溱唯. "A Deep Learning-Based Approach for Smartphone Cover Glass Surface Defect Inspection." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/c5v995.

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碩士<br>國立臺灣大學<br>機械工程學研究所<br>107<br>Inspection systems have been widely applied in industries to examine defects in products. Investigations into the method of defect inspection are important for manufacturing process. In this paper, we present an inspection approach based on deep learning, with a view to distinguishing flawed smartphone cover glass and to classify different kinds of glass defects. In contrast with traditional techniques, image processing techniques (IPTs), which often creates challenges to algorithm calculations due to inconsistent real-world variables like lighting and shadow
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McKeefry, Jason F. "Landscape structure and deer abundance forest land cover and edge relationships across Wisconsin (USA) /." 2003. http://catalog.hathitrust.org/api/volumes/oclc/51767182.html.

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Thesis (M.S.)--University of Wisconsin--Madison, 2003.<br>Typescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 28-34).
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Chang, Yi-Chia, and 張益嘉. "A Deep Learning Approach to Precipitation Downscaling and Land Cover Classification for Flood Risk Assessment." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/28w3r9.

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碩士<br>國立臺灣大學<br>生物環境系統工程學研究所<br>106<br>Over the past decade, flood issues have been detrimental to human society, especially to Asian developing countries. To increase the adaptation ability and resilience to water disasters, the better understanding of flood is essential. Future climate data are critical for conducting the hydrological assessment. However, due to the scarce scale of climate data generated from General Circulation Models (GCMs), the native-scale outputs of climate models could not be directly utilized for basin-scale hydrologic models. Regional Climate Model (RCM) is a dominan
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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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Jye, Shieh Shyh, and 謝世傑. "Application of a sensible impactor and signal superposition to measuring the cover thickness of deep rebar." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/69415046536896027057.

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碩士<br>國立中興大學<br>土木工程學系<br>93<br>The method of stress wave is a nondestructive test method commonly used for evaluating construction quality and structural safety. The stress wave method is well developed at the present time. When an impacting device without the function of detecting the occurrence time of wave source is used, an additional signal receiver is needed to trace the start time of impact. In the application of the stress wave method to measuring the cover thickness of reinforcing bars in concrete, the placing error of the additional signal receiver largely affects the measuring acc
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Lai, Ming-Hui, and 賴明輝. "Field Monitoring Study of Soft Ground and Adjacent Building Response due to Cut and Cover Deep Excavation." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/15531262833483526231.

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碩士<br>國立臺灣科技大學<br>營建工程系<br>93<br>To understand the relationship of ground and adjacent building response due to deep excavation, this study conducted a comprehensive field monitoring during a cut and cover deep excavation. Results indicate that the ratio of the maximum wall displacement to excavation depth is in the range of 0.44 to 0.7%, and the wall deflection is the deep inward movement type. The ratio of the maximum wall displacement to the maximum ground surface settlement is in the range of 0.46 to 0.57, and the ground settlement profile is the concave type. In addition, the influence zo
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Mitchell, Charlotte. "Lateral and Vertical Geochemical Dispersion into Deep Cover: 4D Landscape Geochemistry and Biogeochemistry of the Barrier Ranges." Thesis, 2017. http://hdl.handle.net/2440/119328.

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The aim of this thesis is to determine the relative contribution of lateral, as opposed to vertical, dispersion of the geochemical signals of basement-hosted mineralisation in prospective geological provinces that are mantled by transported cover. The study focuses on three areas within and on the margins of, the highly-mineralised Broken Hill Block and the Barrier Ranges in western New South Wales. Fowlers Creek overlies low-grade metasedimentary bedrock with no known mineralisation on the eastern margins of the Barrier Ranges. Stream sediments show a downstream decreasing trend in concentrat
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Navarrete, Ganchozo Ronald J. "Effect of Brush Vegetation on Deep Drainage Using Chloride Mass Balance." 2009. http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7603.

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Groundwater use is of fundamental importance to meet rapidly expanding urban, industrial, and agricultural water requirements, particularly in semiarid zones. To quantify the current rate of groundwater recharge is thus a prerequisite for efficient and sustainable groundwater resource management in these dry areas, where such resources are often the key to economic development. Increased groundwater recharge has been documented where native vegetation or forest/shrub land was converted to grassland or pasture, or where the land was cleared for agricultural purposes. The basic argument for incr
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Paul, Subir. "Hyperspectral Remote Sensing for Land Cover Classification and Chlorophyll Content Estimation using Advanced Machine Learning Techniques." Thesis, 2020. https://etd.iisc.ac.in/handle/2005/4537.

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Abstract:
In the recent years, remote sensing data or images have great potential for continuous spatial and temporal monitoring of Earth surface features. In case of optical remote sensing, hyperspectral (HS) data contains abundant spectral information and these information are advantageous for various applications. However, high-dimensional HS data handling is a very challenging task. Different techniques are proposed as a part of this thesis to handle the HS data in a computationally efficient manner and to achieve better performance for land cover classification and chlorophyll content prediction. P
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41

Douglas, Kirsty. "Pictures of time beneath : science, landscape, heritage and the uses of the deep past in Australia, 1830-2003." Phd thesis, 2004. http://hdl.handle.net/1885/7498.

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Abstract:
This thesis explores ideas about the deep past in Australia in the context of contemporary notions of geological heritage, cultural property, cultural identity and antiquity. Moving between disciplines, localities, stories and timescales it examines the complexities of changing intellectual agenda. But it does not pretend to present a complete history of the earth sciences in Australia. Rather it brings together an array of related themes, places, and stories, that knit into a narrative about the construction and interpretation of signs of age in Australian landscapes. Taking as its starting p
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