Relevant bibliographies by topics / Assessment; Monitoring; Point cloud

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Assessment; Monitoring; Point cloud'

Author: Grafiati
Published: 28 July 2024
Last updated: 31 July 2025

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Journal articles on the topic "Assessment; Monitoring; Point cloud"

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Jaalama, Kaisa, Heikki Kauhanen, Aino Keitaanniemi, et al. "3D Point Cloud Data in Conveying Information for Local Green Factor Assessment." ISPRS International Journal of Geo-Information 10, no. 11 (2021): 762. http://dx.doi.org/10.3390/ijgi10110762.

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The importance of ensuring the adequacy of urban ecosystem services and green infrastructure has been widely highlighted in multidisciplinary research. Meanwhile, the consolidation of cities has been a dominant trend in urban development and has led to the development and implementation of the green factor tool in cities such as Berlin, Melbourne, and Helsinki. In this study, elements of the green factor tool were monitored with laser-scanned and photogrammetrically derived point cloud datasets encompassing a yard in Espoo, Finland. The results show that with the support of 3D point clouds, it
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Mayr, A., M. Rutzinger, and C. Geitner. "MULTITEMPORAL ANALYSIS OF OBJECTS IN 3D POINT CLOUDS FOR LANDSLIDE MONITORING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2 (May 30, 2018): 691–97. http://dx.doi.org/10.5194/isprs-archives-xlii-2-691-2018.

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To date multi-temporal 3D point clouds from close-range sensing are used for landslide and erosion monitoring in an operational manner. Morphological changes are typically derived by calculating distances between points from different acquisition epochs. The identification of the underlying processes resulting in surface changes, however, is often challenging, for example due to the complex surface structures and influences from seasonal vegetation dynamics. We present an approach for object-based 3D landslide monitoring based on topographic LiDAR point cloud time series separating specific su
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Kyriou, Aggeliki, Konstantinos Nikolakopoulos, and Ioannis Koukouvelas. "Timely and Low-Cost Remote Sensing Practices for the Assessment of Landslide Activity in the Service of Hazard Management." Remote Sensing 14, no. 19 (2022): 4745. http://dx.doi.org/10.3390/rs14194745.

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Landslides are among the most dangerous and catastrophic events in the world. The increasing progress in remote sensing technology made landslide observations timely, systematic and less costly. In this context, we collected multi-dated data obtained by Unmanned Aerial Vehicle (UAV) campaigns and Terrestrial Laser Scanning (TLS) surveys for the accurate and immediate monitoring of a landslide located in a steep and v-shaped valley, in order to provide operational information concerning the stability of the area to the local authorities. The derived data were processed appropriately, and UAV-ba
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Liu, Dan, Dajun Li, Meizhen Wang, and Zhiming Wang. "3D Change Detection Using Adaptive Thresholds Based on Local Point Cloud Density." ISPRS International Journal of Geo-Information 10, no. 3 (2021): 127. http://dx.doi.org/10.3390/ijgi10030127.

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In recent years, because of highly developed LiDAR (Light Detection and Ranging) technologies, there has been increasing demand for 3D change detection in urban monitoring, urban model updating, and disaster assessment. In order to improve the effectiveness of 3D change detection based on point clouds, an approach for 3D change detection using point-based comparison is presented in this paper. To avoid density variation in point clouds, adaptive thresholds are calculated through the k-neighboring average distance and the local point cloud density. A series of experiments for quantitative evalu
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Gonizzi Barsanti, Sara, Marco Raoul Marini, Saverio Giulio Malatesta, and Adriana Rossi. "Evaluation of Denoising and Voxelization Algorithms on 3D Point Clouds." Remote Sensing 16, no. 14 (2024): 2632. http://dx.doi.org/10.3390/rs16142632.

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Proper documentation is fundamental to providing structural health monitoring, damage identification and failure assessment for Cultural Heritage (CH). Three-dimensional models from photogrammetric and laser scanning surveys usually provide 3D point clouds that can be converted into meshes. The point clouds usually contain noise data due to different causes: non-cooperative material or surfaces, bad lighting, complex geometry and low accuracy of the instruments utilized. Point cloud denoising has become one of the hot topics of 3D geometric data processing, removing these noise data to recover
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Zhang, Ju, Qingwu Hu, Hongyu Wu, Junying Su, and Pengcheng Zhao. "Application of Fractal Dimension of Terrestrial Laser Point Cloud in Classification of Independent Trees." Fractal and Fractional 5, no. 1 (2021): 14. http://dx.doi.org/10.3390/fractalfract5010014.

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Tree precise classification and identification of forest species is a core issue of forestry resource monitoring and ecological effect assessment. In this paper, an independent tree species classification method based on fractal features of terrestrial laser point cloud is proposed. Firstly, the terrestrial laser point cloud data of an independent tree is preprocessed to obtain terrestrial point clouds of independent tree canopy. Secondly, the multi-scale box-counting dimension calculation algorithm of independent tree canopy dense terrestrial laser point cloud is proposed. Furthermore, a robu
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Wang, Yi, Hao Peng, Cheng Ouyang, et al. "PSCDR-BMPNet: A Point-Supervised Contrastive Deep Regression Network for Point Cloud Biomass Prediction." Applied Sciences 15, no. 14 (2025): 7671. https://doi.org/10.3390/app15147671.

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Accurate assessment of above-ground biomass (AGB) is essential for optimizing crop growth and enhancing agricultural efficiency. However, predicting above-ground biomass (AGB) presents significant challenges. Traditional point cloud networks often struggle with processing crop structures and data characteristics, hindering their ability to predict biomass accurately. To address these limitations, we propose a point-supervised contrastive deep regression method (PSCDR) and a novel network, BMP_Net (BioMixerPoint_Net). The PSCDR method leverages the benefits of deep contrastive regression while
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Sirmacek, Beril, Roderik Lindenbergh, and Jinhu Wang. "QUALITY ASSESSMENT AND COMPARISON OF SMARTPHONE AND LEICA C10 LASER SCANNER BASED POINT CLOUDS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B5 (June 15, 2016): 581–86. http://dx.doi.org/10.5194/isprs-archives-xli-b5-581-2016.

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3D urban models are valuable for urban map generation, environment monitoring, safety planning and educational purposes. For 3D measurement of urban structures, generally airborne laser scanning sensors or multi-view satellite images are used as a data source. However, close-range sensors (such as terrestrial laser scanners) and low cost cameras (which can generate point clouds based on photogrammetry) can provide denser sampling of 3D surface geometry. Unfortunately, terrestrial laser scanning sensors are expensive and trained persons are needed to use them for point cloud acquisition. A pote
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Sirmacek, Beril, Roderik Lindenbergh, and Jinhu Wang. "QUALITY ASSESSMENT AND COMPARISON OF SMARTPHONE AND LEICA C10 LASER SCANNER BASED POINT CLOUDS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B5 (June 15, 2016): 581–86. http://dx.doi.org/10.5194/isprsarchives-xli-b5-581-2016.

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3D urban models are valuable for urban map generation, environment monitoring, safety planning and educational purposes. For 3D measurement of urban structures, generally airborne laser scanning sensors or multi-view satellite images are used as a data source. However, close-range sensors (such as terrestrial laser scanners) and low cost cameras (which can generate point clouds based on photogrammetry) can provide denser sampling of 3D surface geometry. Unfortunately, terrestrial laser scanning sensors are expensive and trained persons are needed to use them for point cloud acquisition. A pote
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Dhruwa, L., and P. K. Garg. "POSITIONAL ACCURACY ASSESSMENT OF FEATURES USING LIDAR POINT CLOUD." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-M-3-2023 (September 5, 2023): 77–80. http://dx.doi.org/10.5194/isprs-archives-xlviii-m-3-2023-77-2023.

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Abstract. Nowadays, Light Detection and Ranging (LiDAR) data acquisition technology is gaining popularity due to its accuracy, precision, and rapid data collection. In recent years, many applications have demanded 3-D models and 3-D mapping for fly-through views of cities. LiDAR data is used to map topographic features as well as the height and density of high-rise objects, such as trees and buildings, on the earth's surface. Although there are numerous traditional surveying and space-based technologies existing to determine the elevation or height of any object are time-consuming, inaccurate,
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Dissertations / Theses on the topic "Assessment; Monitoring; Point cloud"

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Quach, Maurice. "Deep learning-based Point Cloud Compression." Electronic Thesis or Diss., université Paris-Saclay, 2022. http://www.theses.fr/2022UPASG051.

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Les nuages de points deviennent essentiels dans de nombreuses applications et les progrès des technologies de capture conduisent à des volumes de données croissants.La compression est donc essentielle pour le stockage et la transmission.La compression des nuages de points peut être divisée en deux parties : la compression de la géométrie et des attributs.En outre, l'évaluation de la qualité des nuages de points est nécessaire afin d'évaluer les méthodes de compression des nuages de points.La compression de la géométrie, la compression des attributs et l'évaluation de la qualité constituent les
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Megahed, Fadel M. "The Use of Image and Point Cloud Data in Statistical Process Control." Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/26511.

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The volume of data acquired in production systems continues to expand. Emerging imaging technologies, such as machine vision systems (MVSs) and 3D surface scanners, diversify the types of data being collected, further pushing data collection beyond discrete dimensional data. These large and diverse datasets increase the challenge of extracting useful information. Unfortunately, industry still relies heavily on traditional quality methods that are limited to fault detection, which fails to consider important diagnostic information needed for process recovery. Modern measurement technologies sho
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Dinh-Xuan, Lam [Verfasser], and Phuoc [Gutachter] Tran-Gia. "Quality of Experience Assessment of Cloud Applications and Performance Evaluation of VNF-Based QoE Monitoring / Lam Dinh-Xuan ; Gutachter: Phuoc Tran-Gia." Würzburg : Universität Würzburg, 2018. http://d-nb.info/1169573053/34.

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Gray, Michelle Anya. "Assessing non-point source pollution in agricultural regions of the upper St. John River basin using the slimy sculpin (Cottus cognatus)." Thesis, Department of Biology, University of New Brunswick, 2003. http://hdl.handle.net/1882/48.

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The overall objective of this research project was to assess whether fish populations in areas of potato cultivation responded to changes in environmental conditions. An effects-based assessment was conducted in the ‘potato belt’ of northwestern New Brunswick in the Little River catchment. From 1999-2001, the health and performance of slimy sculpin (Cottus cognatus) was monitored in agricultural and forested sections of the river. In the fall of 1999 and 2000, agricultural sites had fewer young-of-the-year (YOY) sculpin than the forested region. Adult sculpin were larger in the agricultural re
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Lama, Salomon Abraham. "Digital State Models for Infrastructure Condition Assessment and Structural Testing." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/84502.

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This research introduces and applies the concept of digital state models for civil infrastructure condition assessment and structural testing. Digital state models are defined herein as any transient or permanent 3D model of an object (e.g. textured meshes and point clouds) combined with any electromagnetic radiation (e.g., visible light, infrared, X-ray) or other two-dimensional image-like representation. In this study, digital state models are built using visible light and used to document the transient state of a wide variety of structures (ranging from concrete elements to cold-formed stee
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Scharf, Alexander. "Terrestrial Laser Scanning for Wooden Facade-system Inspection." Thesis, Luleå tekniska universitet, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-77159.

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The objective of this study was to evaluate the feasibility of measuring movement, deformation and displacement in wooden façade-systems by terrestrial laser scanning. An overview of different surveying techniques and methods has been created. Point cloud structure and processing was explained in detail as it is the foundation for understanding the advantages and disadvantages of laser scanning.    The boundaries of monitoring façades with simple and complex façade structures were tested with the phase-based laser scanner FARO Focus 3DS. In-field measurements of existing facades were done to s
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Crabtree, Gärdin David, and Alexander Jimenez. "Optical methods for 3D-reconstruction of railway bridges : Infrared scanning, Close range photogrammetry and Terrestrial laser scanning." Thesis, Luleå tekniska universitet, Byggkonstruktion och brand, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-67716.

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The forecast of the next upcoming years estimates a growth of demand in transport. As the railway sector in Europe has developed over many years, the infrastructure presents performance issues because of, among other factors, asset maintenance activities being difficult and time consuming. There are currently 4000 railway bridges in Sweden managed by Trafikverket which are submitted to inspections at least every six years. The most common survey is done visually to determine the physical and functional condition of the bridges as well as finding damages that may exist on them. Because visual i
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Benneyworth, Laura Mahoney. "Distribution of Trace Elements in Cumberland River Basin Reservoir Sediments." TopSCHOLAR®, 2011. http://digitalcommons.wku.edu/theses/1113.

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The U.S. Army Corps of Engineers, Nashville District, maintains ten reservoirs in the Cumberland River Basin in Kentucky and Tennessee, and has been monitoring sediment chemistry in the reservoirs since 1994. The purpose of this study is to evaluate the sediment data collected from the reservoirs from 1994 to 2010 to determine if there are any spatial patterns of the trace elements: arsenic, beryllium, cadmium, chromium, copper, lead, mercury, nickel, and zinc. The results indicated that trace element levels were consistent with national baseline concentrations measured by the U.S. Geological
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Williams, Keith E. "Accuracy assessment of LiDAR point cloud geo-referencing." Thesis, 2012. http://hdl.handle.net/1957/30209.

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Three-dimensional laser scanning has revolutionized spatial data acquisition and can be completed from a variety of platforms including airborne (ALS), mobile (MLS), and static terrestrial (TLS) laser scanning. MLS is a rapidly evolving technology that provides increases in efficiency and safety over static TLS, while still providing similar levels of accuracy and resolution. The componentry that make up a MLS system are more parallel to Airborne Laser Scanning (ALS) than to that of TLS. However, achievable accuracies, precisions, and resolution results are not clearly defined for MLS syste
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Bates, Jordan Steven. "Oblique UAS imagery and point cloud processing for 3D rock glacier monitoring." Master's thesis, 2020. http://hdl.handle.net/10362/94396.

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Dissertation submitted in partial fulfilment of the requirements for the degree of Master of Science in Geospatial Technologies<br>Rock glaciers play a large ecological role and are heavily relied upon by local communities for water, power, and revenue. With climate change, the rate at which they are deforming has increased over the years and is making it more important to gain a better understanding of these geomorphological movements for improved predictions, correlations, and decision making. It is becoming increasingly more practical to examine a rock glacier with 3D visualization to have
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Books on the topic "Assessment; Monitoring; Point cloud"

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Efficiency of Terrestrial Laser Scanning in Survey Works: Assessment, Modelling, and Monitoring. https://juniperpublishers.com/ijesnr/pdf/IJESNR.MS.ID.556334.pdf, 2023.

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PointofCare Assessment in Pregnancy and Womens Health. Lippincott Williams and Wilkins, 2014.

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Eckert, Richard B. Field Guide to Internal Corrosion Mitigation & Monitoring for Pipelines. NACE International, The Worldwide Corrosion Authority15835 Park Ten Place, Houston, TX 77084, 2016. https://doi.org/10.5006/37610.

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This book by renowned expert Richard Eckert is intended to help oil and gas pipeline operators, corrosion professionals, integrity experts, and risk management practitioners assess, control, and manage the effects of internal corrosion on pipeline systems, thus improving the safety, reliability and integrity of their operations. While the focus of this book is on pipelines, the content is broadly applicable to upstream equipment, processing facilities, mid-stream pipelines, liquid and gas storage assets, and delivery/distribution assets. Another intention of this book is to not only provide te
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Hegetschweiler, Tessa, Boris Salak, Anne C. Wunderlich, Nicole Bauer, and Marcel Hunziker. Das Verhältnis der Schweizer Bevölkerung zum Wald. Waldmonitoring soziokulturell WaMos3. Ergebnisse der nationalen Umfrage. Swiss Federal Institute for Forest, Snow and Landscape Research, WSL, 2022. http://dx.doi.org/10.55419/wsl:29973.

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The relationship of the Swiss population to the forest has been investigated in surveys since 1978, and in 1997 for the first time as part of the so-called “Sociocultural forest monitoring” or “Waldmonitoring soziokulturell” WaMos. This report describes the results of the national Wa- Mos3 survey 2020. The online panel of the market research institute LINK was used for the sur- vey. In addition to the representative survey of the adult population, a sample of 156 adolescents was also interviewed. The self-assessed level of information on forest topics has declined since WaMos2 (2010), with old
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Bilal, Dania. Library Automation. 3rd ed. ABC-CLIO, LLC, 2014. http://dx.doi.org/10.5040/9798400679001.

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Recent advances in technology such as cloud computing, recent industry standards such as RFID, bibliographic standards like RDA and BIBFRAME, the increased adoption of open source integrated library systems (ILS), and continued shift in users' expectations have increased the complexity of the decision regarding ILS for all types of libraries. Recent advances in technology such as cloud computing, recent industry standards such as RFID, bibliographic standards like RDA and BIBFRAME, the increased adoption of open source integrated library systems (ILS), and continued shift in users' expectation
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Kilkelly, Shannon. Coagulation System. Edited by Matthew D. McEvoy and Cory M. Furse. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190226459.003.0090.

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Despite the development of entirely new classes of anticoagulant medication, vitamin K antagonists like warfarin continue to be commonly prescribed for a wide range of cardiovascular diagnoses. Conversely, the advent of low molecular weight heparin has greatly simplified the use of the drug to the point that patients can dose themselves at home with no need for any type of monitoring. Given the widespread use of these medications, it is not surprising that an increasing number of patients requiring urgent or emergent surgery will present with a medically induced coagulopathy. Managing this coa
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Moore, Michael R., and Ehab Farag. Unstable Cervical Spine and Airway Management. Edited by David E. Traul and Irene P. Osborn. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190850036.003.0012.

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In patients with cervical myelopathy, the spinal cord is already compromised to a point at which there is little reserve for surgical maneuvers and the slightest adverse action can result in dramatic consequences. Awake fiberoptic intubation and neurological assessment before induction of anesthesia could be the safest way to avoid waking up the patient before proceeding with surgery in the case of absent motor evoke potentials (MEPs) in spite of increasing the stimulating voltage together with increasing the rate of stimulating pulses. Hypotension is an additional factor, which may lead to ir
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Pulmonology, AAP Section on Pediatric. Pediatric Pulmonology. Edited by Michael J. Light, Carol Jean Blaisdell, and Douglas N. Homnick. American Academy of Pediatrics, 2011. http://dx.doi.org/10.1542/9781581104936.

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All new resource expertly guides you through the diagnosis, treatment, and ongoing management of virtually every pulmonary issue you're likely to encounter. This policy book from the American Academy of Pediatrics guides you through the diagnosis, treatment, and ongoing management of virtually every pulmonary issue you're likely to encounter. You'll turn here often for the latest AAP findings and recommenations; assessment and testing how-tos; proven therapeutic strategies; procedures, and techniques; home care and monitoring considerations; and much more. Powerful problem-solving features in
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McIntyre, Dale, and Mohsen Achour. Preferential Weld Corrosion of Carbon Steels. NACE International, The Worldwide Corrosion Authority15835 Park Ten Place, Houston, TX 77084, 2016. https://doi.org/10.5006/37615.

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This book addresses the detection, assessment, and control of preferential weld corrosion (PWC) of carbon steels. Corrosion professionals, asset integrity specialists, and engineers responsible for risk management will find a comprehensive literature survey, detailed description of the PWC problem in its different aspects, and clear guidance on how to manage PWC in both new projects and maturing assets. Detailed case histories describe PWC and its mitigation in seawater pipelines, cooling water systems, wet gas piping, heat exchangers, and related process equipment. Monographs published during
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De Laurentis, Giacomo, Eugenio Alaio, Elisa Corsi, et al. Rischio di credito 2.0. AIFIRM, 2021. http://dx.doi.org/10.47473/2016ppa00030.

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The EBA Guidelines on loan origination and monitoring (hereinafter "GL LOM") undoubtedly represent a substantially new piece of the banking regulatory framework. In fact, for the first time, the regulator moves into a topic that was traditionally outside the scope of financial regulation, so far almost exclusively focused on aspects directly linked to both micro- and macro-prudential stability, notably through capital and liquidity management requirements and guidelines on Business Model and Internal Governance. The credit management process, and in particular loan origination and monitoring,
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Book chapters on the topic "Assessment; Monitoring; Point cloud"

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Beaubien-Souligny, William, and André Denault. "Extra-cardiac Doppler Hemodynamic Assessment Using Point-of-Care Ultrasound." In Cardiopulmonary Monitoring. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73387-2_26.

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Comba, Lorenzo, Simonpaolo Kartsiotis, Alessandro Biglia, et al. "3D Multispectral Point Cloud for Enhanced Monitoring of Vineyards." In Lecture Notes in Civil Engineering. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-84212-2_73.

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Laazoufi, Abdelouahed, Mohammed El Hassouni, and Hocine Cherifi. "Visual Point Cloud Quality Assessment Using Graph Attention Network." In Studies in Computational Intelligence. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-82427-2_15.

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Wang, Xinyu, Ruijun Liu, and Xiaochuan Wang. "No-Reference Point Cloud Quality Assessment via Contextual Point-Wise Deep Learning Network." In Communications in Computer and Information Science. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-8021-5_17.

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Cedillo, Priscila, Javier Gonzalez-Huerta, Silvia Abrahao, and Emilio Insfran. "A Monitoring Infrastructure for the Quality Assessment of Cloud Services." In Lecture Notes in Information Systems and Organisation. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30133-4_2.

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Zeng, Qingli, and ZhiQiang Chen. "Scalable and Probabilistic Point-Cloud Generation for UAS-Based Structural Assessment." In Lecture Notes in Civil Engineering. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93236-7_49.

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Do, Sy Tien, Hiep Hoang, and Dat Ho Quang Che. "Error Assessment of Point Cloud and BIM Models to Actual Works." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3303-5_20.

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Montuori, Manlio. "3D Point Cloud Dataset Integration for Built Cultural Heritage Structural Assessment." In Lecture Notes in Civil Engineering. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-87312-6_69.

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Dolan, D. M., and A. H. El-Shaarawi. "Inferences about Point Source Loadings from Upstream/Downstream River Monitoring Data." In Statistical Methods for the Assessment of Point Source Pollution. Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-1960-0_16.

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Iffländer, Lukas, Christopher Metter, Florian Wamser, Phuoc Tran-Gia, and Samuel Kounev. "Performance Assessment of Cloud Migrations from Network and Application Point of View." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-90775-8_21.

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Conference papers on the topic "Assessment; Monitoring; Point cloud"

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Wang, Hui, and Qingyu Ren. "High-Precision Dynamic Point Cloud for Geohazard Monitoring Using Camera Array." In CONFERENCE 2025. AMPP, 2025. https://doi.org/10.5006/c2025-00477.

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Abstract Monitoring and preventing Geohazard such as landslides is a critical aspect of infrastructure engineering, essential for safeguarding infrastructure and communities. Effective slope stability analysis and failure monitoring demand the integration of comprehensive, field-acquired data to capture the complex dynamics of soil-structure interaction. While traditional methods such as remote sensing and aerial monitoring are commonly employed for geohazard assessment, they often fall short in providing the real-time capabilities necessary for timely intervention for risk assessment. Our app
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Ma, Ran, Chul-Woo Kim, and Daigo Kawabe. "Point cloud-based geometry updating and finite element analysis of railway bridge pier." In IABSE Symposium, Tokyo 2025: Environmentally Friendly Technologies and Structures: Focusing on Sustainable Approaches. International Association for Bridge and Structural Engineering (IABSE), 2025. https://doi.org/10.2749/tokyo.2025.0972.

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&lt;p&gt;This study presents a novel approach to updating the geometry of railway bridge piers using 3D reconstruction techniques integrated with finite element analysis (FEA). Combining photogrammetry and laser scanning, the proposed method generates high-fidelity digital models that accurately reflect the structural and geometric characteristics of bridge piers. A case study involving a railway bridge pier demonstrates the method’s effectiveness, achieving centimeter-level accuracy in dimension evaluation compared to design documents. Additionally, the updated finite element model successful
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Teixeira, Abel, Hugo Costelha, Carlos Neves, and Luis Conde Bento. "Point Cloud Alignment for Deposited Material Assessment in Tunnel Environments." In 2024 IEEE International Conference on Engineering, Technology, and Innovation (ICE/ITMC). IEEE, 2024. https://doi.org/10.1109/ice/itmc61926.2024.10794331.

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Wang, Haomiao, Xiaochuan Wang, Xianpeng Yuan, Xianming Chen, and Haisheng Li. "No-Reference Point Cloud Quality Assessment with Adaptive Keyframe Selection." In 2024 IEEE International Conference on Visual Communications and Image Processing (VCIP). IEEE, 2024. https://doi.org/10.1109/vcip63160.2024.10849833.

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Watanabe, Ryosuke, Keisuke Nonaka, Eduardo Pavez, Tatsuya Kobayashi, and Antonio Ortega. "Full-Reference Point Cloud Quality Assessment Using Spectral Graph Wavelets." In 2024 IEEE International Conference on Image Processing (ICIP). IEEE, 2024. http://dx.doi.org/10.1109/icip51287.2024.10647796.

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Tious, Amar, Toinon Vigier, and Vincent Ricordel. "Impact of Point Cloud Normals Compression on Objective Quality Assessment." In 2024 32nd European Signal Processing Conference (EUSIPCO). IEEE, 2024. http://dx.doi.org/10.23919/eusipco63174.2024.10715168.

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Umemoto, Yuki, Junya Sato, Yoshiki Yamaguchi, Taku Yamazaki, Takumi Miyoshi, and Ryoichi Shinkuma. "Quantitative Reliability Assessment for 3D LiDAR Point Cloud Data Frames." In 2025 IEEE International Conference on Consumer Electronics (ICCE). IEEE, 2025. https://doi.org/10.1109/icce63647.2025.10929948.

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Bourbia, Salima, Ayoub Karine, Aladine Chetouani, Mohammed El Hassouni, and Maher Jridi. "Blind Point Cloud Quality Assessment via 3D Visual Saliency and Point-Based Neural Network." In 2024 IEEE Thirteenth International Conference on Image Processing Theory, Tools and Applications (IPTA). IEEE, 2024. http://dx.doi.org/10.1109/ipta62886.2024.10755773.

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Watanabe, Ryosuke, Keisuke Nonaka, Eduardo Pavez, Tatsuya Kobayashi, and Antonio Ortega. "No-Reference Point Cloud Quality Assessment Based on Graph Signal Variation." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10888315.

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Watanabe, Ryosuke, Tomoaki Konno, Hiroshi Sankoh, Bryan Tanaka, and Tatsuya Kobayashi. "Full-Reference Point Cloud Quality Assessment with Multimodal Large Language Models." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10889736.

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Reports on the topic "Assessment; Monitoring; Point cloud"

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Bianchi, J. C., Stephen P. Farrington, and Bruce Neilson. Direct Push Monitoring Point Assessment. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada387114.

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Berney, Ernest, Naveen Ganesh, Andrew Ward, J. Newman, and John Rushing. Methodology for remote assessment of pavement distresses from point cloud analysis. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40401.

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The ability to remotely assess road and airfield pavement condition is critical to dynamic basing, contingency deployment, convoy entry and sustainment, and post-attack reconnaissance. Current Army processes to evaluate surface condition are time-consuming and require Soldier presence. Recent developments in the area of photogrammetry and light detection and ranging (LiDAR) enable rapid generation of three-dimensional point cloud models of the pavement surface. Point clouds were generated from data collected on a series of asphalt, concrete, and unsurfaced pavements using ground- and aerial-ba
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Berney, Ernest, Andrew Ward, and Naveen Ganesh. First generation automated assessment of airfield damage using LiDAR point clouds. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40042.

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This research developed an automated software technique for identifying type, size, and location of man-made airfield damage including craters, spalls, and camouflets from a digitized three-dimensional point cloud of the airfield surface. Point clouds were initially generated from Light Detection and Ranging (LiDAR) sensors mounted on elevated lifts to simulate aerial data collection and, later, an actual unmanned aerial system. LiDAR data provided a high-resolution, globally positioned, and dimensionally scaled point cloud exported in a LAS file format that was automatically retrieved and pro
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Javier, Virginia, Linh Cat, Taro Katayama, et al. Fog monitoring on the Point Loma Peninsula at Cabrillo National Monument: 2023 annual report. National Park Service, 2024. http://dx.doi.org/10.36967/2305271.

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Cabrillo National Monument (CABR) is a unit of the National Park System located on the Point Loma peninsula in San Diego, CA, USA. Despite its small size (0.65 terrestrial km2), the monument attracts 851,000 annual visitors (IRMA SRSS Reports 2011-2020), and acts as an ?urban island?, providing habitat for unique algal, plant and animal species in an area of increasing development and urbanization. The park is situated in a Mediterranean climate, characterized by hot, dry summers and wet winters. This climate supports rare habitats and plant communities, such as coastal sage scrub, maritime su
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Barajas and George. PR-015-05600-R01 Assessment of Sampling Systems for Monitoring Water Vapor in Natural Gas Streams. Pipeline Research Council International, Inc. (PRCI), 2008. http://dx.doi.org/10.55274/r0011197.

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Research has been conducted to assess the usefulness of various sampling and delivery methods in transporting a representative sample of a natural gas stream for analysis of moisture content. Three sampling configurations commonly used by the natural gas industry were evaluated, including a sample system with a regulated probe heated above ambient conditions, the same system held at a constant temperature simulating ambient conditions, and a heated sample system incorporating a membrane filter. Each configuration was used to transport samples of distribution-quality natural gas with levels of
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Tutumluer, Erol, Bill Spencer, Riley Edwards, Kirill Mechitov, Syed Husain, and Issam Qamhia. Sensing Infrastructure for Smart Mobility—Wireless Continuous Monitoring for I-ACT. Illinois Center for Transportation, 2022. http://dx.doi.org/10.36501/0197-9191/22-019.

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This report proposes a suite of wireless sensing solutions for continuous transportation-infrastructure monitoring. First, various traditional and modern sensors and sensing platforms are described in detail, based on their principles of operation, suitability for transportation-infrastructure monitoring, and issues concerning their use. Then, a suitability-assessment survey conducted to select suitable inter-sensor and sensor-to-cloud communication technology for lower bandwidth and higher bandwidth requiring sensors is presented. Important observations are made, and conclusions are drawn bas
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Banco de España, Banco de España. In-person access to banking services in Spain: 2023 Monitoring Report. Banco de España, 2024. http://dx.doi.org/10.53479/35912.

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This paper presents an analysis of recent developments in the accessibility of banking services in Spain, from the perspective of both supply (the in-person access points available) and demand (customer use and assessment). According to the results obtained, the following main conclusions can be drawn: i) The reduction in the number of bank branches between 2021 and 2022 was offset by the establishment of mobile branches in smaller municipalities and financial agents in larger municipalities. ii) Between 2021 and 2022, the number of municipalities without any in-person points of access to bank
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Harrington, Matthew, Amanda Lanik, Chad Hults, and Patrick Druckenmiller. Focused condition assessment of paleontological resources within Katmai National Park and Preserve. National Park Service, 2023. http://dx.doi.org/10.36967/2298782.

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The paleontological resources (fossils) of Katmai National Park and Preserve (also referred to as ?the park? or ?Katmai? throughout this report) record the evolution of the park?s ancient life throughout most of the Mesozoic Era and portions of the Cenozoic Era (see Table 1 for a geologic time scale). A focused condition assessment (FCA) of the paleontological resources of Katmai was conducted in 2021; this report summarizes the findings of the FCA, including information on the park?s geology and paleontology, management issues related to paleontological resources, and the results of a field s
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Cathles, Alison, Claudia Suaznabar, and Fernando Vargas. The 360 on Digital Transformation in Firms in Latin America and the Caribbean. Inter-American Development Bank, 2022. http://dx.doi.org/10.18235/0004635.

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Are firms in Latin America and the Caribbean lagging in terms of their adoption of digital technologies? Using the most updated and, in many cases, new data, this publication provides a 360-degree assessment on the adoption of technologies ranging from artificial intelligence, big data, and the internet of things, to “backbone” tools such as cloud computing and basic digital technologies (e.g., the percent of firms with websites). On certain dimensions, some firms in the region compare favorably with firms in OECD countries. However, in general, as with artificial intelligence and big data, th
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Habib, Ayman, Darcy M. Bullock, Yi-Chun Lin, and Raja Manish. Road Ditch Line Mapping with Mobile LiDAR. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317354.

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Maintenance of roadside ditches is important to avoid localized flooding and premature failure of pavements. Scheduling effective preventative maintenance requires mapping of the ditch profile to identify areas requiring excavation of long-term sediment accumulation. High-resolution, high-quality point clouds collected by mobile LiDAR mapping systems (MLMS) provide an opportunity for effective monitoring of roadside ditches and performing hydrological analyses. This study evaluated the applicability of mobile LiDAR for mapping roadside ditches for slope and drainage analyses. The performance o
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