Relevant bibliographies by topics / E- CLOUD

Contents

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

Academic literature on the topic 'E- CLOUD'

Author: Grafiati
Published: 11 September 2023
Last updated: 31 July 2025

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Journal articles on the topic "E- CLOUD"

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Koren, I., L. Oreopoulos, G. Feingold, L. A. Remer, and O. Altaratz. "How small is a small cloud?" Atmospheric Chemistry and Physics Discussions 8, no. 2 (2008): 6379–407. http://dx.doi.org/10.5194/acpd-8-6379-2008.

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Abstract. The interplay between clouds and aerosols and their contribution to the radiation budget is one of the largest uncertainties of climate change. Most work to date has separated cloudy and cloud-free areas in order to evaluate the individual radiative forcing of aerosols, clouds, and aerosol effects on clouds. Here we examine the size distribution and the optical properties of small, sparse cumulus clouds and the associated optical properties of what is considered a cloud-free atmosphere within the cloud field. We show that any separation between clouds and cloud free atmosphere will i
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Koren, I., L. Oreopoulos, G. Feingold, L. A. Remer, and O. Altaratz. "How small is a small cloud?" Atmospheric Chemistry and Physics 8, no. 14 (2008): 3855–64. http://dx.doi.org/10.5194/acp-8-3855-2008.

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Abstract. The interplay between clouds and aerosols and their contribution to the radiation budget is one of the largest uncertainties of climate change. Most work to date has separated cloudy and cloud-free areas in order to evaluate the individual radiative forcing of aerosols, clouds, and aerosol effects on clouds. Here we examine the size distribution and the optical properties of small, sparse cumulus clouds and the associated optical properties of what is considered a cloud-free atmosphere within the cloud field. We show that any separation between clouds and cloud free atmosphere will i
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Korshunova, N. N., and T. V. Dementieva . "Changes in cloud characteristics on the territory of Russia." Hydrometeorological research and forecasting 3 (September 30, 2023): 139–51. http://dx.doi.org/10.37162/2618-9631-2023-3-139-151.

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Such characteristics of the cloud cover as the frequency of cloudy (8-10/10) and clear (0-2/10) sky are investigated. The analysis of the seasonal frequency of these characteristics revealed some regional features. To be included in the national cloud monitoring system, the normals for the new base period of 1991-2020 for the average amount of total and low-level clouds, the frequency of cases with different sky conditions (clear, semi-cloudy, cloudy) for total and low-level clouds, as well as the frequency of various forms of clouds were calculated. Long-term changes in the frequency of clear
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Schulte, Richard M., Matthew D. Lebsock, and John M. Haynes. "What CloudSat cannot see: liquid water content profiles inferred from MODIS and CALIOP observations." Atmospheric Measurement Techniques 16, no. 14 (2023): 3531–46. http://dx.doi.org/10.5194/amt-16-3531-2023.

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Abstract. Single-layer nonprecipitating warm clouds are integral to Earth's climate, and accurate estimates of cloud liquid water content for these clouds are critical for constraining cloud models and understanding climate feedbacks. As the only cloud-sensitive radar currently in space, CloudSat provides very important cloud-profiling capabilities. However, a significant fraction of clouds is missed by CloudSat because they are either too thin or too close to the Earth's surface. We find that the CloudSat Radar-Visible Optical Depth Cloud Water Content Product, 2B-CWC-RVOD, misses about 73 %
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Li, J., Z. Wu, Z. Hu, Y. Zhang, and M. Molinier. "AUTOMATIC CLOUD DETECTION METHOD BASED ON GENERATIVE ADVERSARIAL NETWORKS IN REMOTE SENSING IMAGES." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-2-2020 (August 3, 2020): 885–92. http://dx.doi.org/10.5194/isprs-annals-v-2-2020-885-2020.

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Abstract. Clouds in optical remote sensing images seriously affect the visibility of background pixels and greatly reduce the availability of images. It is necessary to detect clouds before processing images. In this paper, a novel cloud detection method based on attentive generative adversarial network (Auto-GAN) is proposed for cloud detection. Our main idea is to inject visual attention into the domain transformation to detect clouds automatically. First, we use a discriminator (D) to distinguish between cloudy and cloud free images. Then, a segmentation network is used to detect the differ
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Coakley, James A., Michael A. Friedman, and William R. Tahnk. "Retrieval of Cloud Properties for Partly Cloudy Imager Pixels." Journal of Atmospheric and Oceanic Technology 22, no. 1 (2005): 3–17. http://dx.doi.org/10.1175/jtech-1681.1.

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Abstract Retrievals of cloud properties from satellite imagery often invoke the assumption that the fields of view are overcast when cloud-contaminated, even though a significant fraction are only partially cloud-covered. The overcast assumption leads to biases in the retrieved cloud properties: cloud amounts and droplet effective radii are typically overestimated, while visible optical depths, cloud altitudes, cloud liquid water amounts, and column droplet number concentrations are typically underestimated. In order to estimate these biases, a retrieval scheme was developed to obtain the prop
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Mieslinger, Theresa, Bjorn Stevens, Tobias Kölling, Manfred Brath, Martin Wirth, and Stefan A. Buehler. "Optically thin clouds in the trades." Atmospheric Chemistry and Physics 22, no. 10 (2022): 6879–98. http://dx.doi.org/10.5194/acp-22-6879-2022.

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Abstract. We develop a new method to describe the total cloud cover including optically thin clouds in trade wind cumulus cloud fields. Climate models and large eddy simulations commonly underestimate the cloud cover, while estimates from observations largely disagree on the cloud cover in the trades. Currently, trade wind clouds significantly contribute to the uncertainty in climate sensitivity estimates derived from model perturbation studies. To simulate clouds well, especially how they change in a future climate, we have to know how cloudy it is. In this study we develop a method to quanti
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Lu, Shiming, Mingjun He, Shuangyan He, et al. "An Improved Cloud Masking Method for GOCI Data over Turbid Coastal Waters." Remote Sensing 13, no. 14 (2021): 2722. http://dx.doi.org/10.3390/rs13142722.

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Clouds severely hinder the radiative transmission of visible light; thus, correctly masking cloudy and non-cloudy pixels is a preliminary step in processing ocean color remote sensing data. However, cloud masking over turbid waters is prone to misjudgment, leading to loss of non-cloudy pixel data. This research proposes an improved cloud masking method over turbid water to classify cloudy and non-cloudy pixels based on spectral variability of Rayleigh-corrected reflectance acquired by the Geostationary Ocean Color Imager (GOCI). Compared with other existing cloud masking methods, we demonstrat
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Massons, J., D. Domingo, and J. Lorente. "Seasonal cycle of cloud cover analyzed using Meteosat images." Annales Geophysicae 16, no. 3 (1998): 331–41. http://dx.doi.org/10.1007/s00585-998-0331-3.

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Abstract. A cloud-detection method was used to retrieve cloudy pixels from Meteosat images. High spatial resolution (one pixel), monthly averaged cloud-cover distribution was obtained for a 1-year period. The seasonal cycle of cloud amount was analyzed. Cloud parameters obtained include the total cloud amount and the percentage of occurrence of clouds at three altitudes. Hourly variations of cloud cover are also analyzed. Cloud properties determined are coherent with those obtained in previous studies.Key words. Cloud cover · Meteosat
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Stubenrauch, C. J., S. Cros, A. Guignard, and N. Lamquin. "A 6-year global cloud climatology from the Atmospheric InfraRed Sounder AIRS and a statistical analysis in synergy with CALIPSO and CloudSat." Atmospheric Chemistry and Physics Discussions 10, no. 3 (2010): 8247–96. http://dx.doi.org/10.5194/acpd-10-8247-2010.

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Abstract. We present a six-year global climatology of cloud properties, obtained from observations of the Atmospheric Infrared Sounder (AIRS) onboard the NASA Aqua satellite. Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) combined with CloudSat observations, both missions launched as part of the A-Train in 2006, provide a unique opportunity to evaluate the retrieved AIRS cloud properties such as cloud amount and height as well as to explore the vertical structure of different cloud types. AIRS-LMD cloud detection agrees with CALIPSO about 85% over ocean and about
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Dissertations / Theses on the topic "E- CLOUD"

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Šťastný, Jan. "Řízení projektů v cloudu." Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-193783.

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Goal of this thesis is to provide a summary of information connected to cloud project management. The thesis describes, what cloud is, what types of cloud there are and also describes project management methodologies and their specifics. In the practical part of this thesis one of the methodologies is applied to a practical project. The thesis contains also a summary of practical information about cloud projects and risks associated with cloud projects.
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Szczodrak, Malgorzata. "Variability of cloud optical depth and cloud droplet effective radius in layer clouds : satellite based analysis." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape15/PQDD_0019/NQ27255.pdf.

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Ovtchinnikov, Mikhail. "An investigation of ice production mechanisms using a 3-D cloud model with explicit microphysics /." Full-text version available from OU Domain via ProQuest Digital Dissertations, 1997.

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Ng, Alexander CB. "Decision Modelling and Optimization for Enterprise Migration to Clouds." Thesis, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/31719.

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Many enterprises are currently exploring the possibility of migrating some or all of their IT functionalities to public clouds with the objective of reducing their overall IT service costs or to open new business frontiers. Unfortunately, making such a decision is not a straightforward task; it requires a vigorous evaluation of the various benefits, risks and costs associated with the migration of their diverse business processes that comprise of their current IT services. Yet, this problem has received very little attention in the literature, mainly due to its interdisciplinary nature. This
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Grahn, Cecilia, and Martin Sund. "Cloud computing - Moving to the cloud." Thesis, Högskolan Dalarna, Informatik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:du-12916.

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Cloud computing innebär användning av datorresurser som är tillgängliga via ett nätverk, oftast Internet och är ett område som har vuxit fram i snabb takt under de senaste åren. Allt fler företag migrerar hela eller delar av sin verksamhet till molnet. Sogeti i Borlänge har behov av att migrera sina utvecklingsmiljöer till en molntjänst då drift och underhåll av dessa är kostsamma och tidsödande. Som Microsoftpartners vill Sogeti använda Microsoft tjänst för cloud computing, Windows Azure, för detta syfte. Migration till molnet är ett nytt område för Sogeti och de har inga beskrivningar för hu
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McLeod, Andrew. "Instabilities in supersonic cloud-cloud collisions." Thesis, Cardiff University, 2012. http://orca.cf.ac.uk/38842/.

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We study the effects of the supersonic collision of molecular clouds using smoothed particle hydrodynamics (SPH) simulations. We review the observational evidence for cloud-cloud collision and previous computational work. We describe the SPH method, the algorithms used in the SPH code SEREN, and how we have extended the parallelization of SEREN. We review the non-linear thin shell instability (NTSI) and gravitational instability in a shock-compressed layer. We present the results of two sets of SPH simulations. In the first set of simulations we collide supersonic flows of gas without self-gra
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Cappelli, Gino. "Data cloud through google cloud storage." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2012. http://amslaurea.unibo.it/3032/.

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Il Cloud Storage è un modello di conservazione dati su computer in rete, dove i dati stessi sono memorizzati su molteplici server, reali e/o virtuali, generalmente ospitati presso strutture di terze parti o su server dedicati. Tramite questo modello è possibile accedere alle informazioni personali o aziendali, siano essi video, fotografie, musica, database o file in maniera “smaterializzata”, senza conoscere l’ubicazione fisica dei dati, da qualsiasi parte del mondo, con un qualsiasi dispositivo adeguato. I vantaggi di questa metodologia sono molteplici: infinita capacita’ di spazio di m
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Brooks, Christopher David. "Underwater Clouds Utilizing Private Cloud Architecture Aboard U.S. Submarines." Thesis, Monterey, California. Naval Postgraduate School, 2012. http://hdl.handle.net/10945/7312.

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The Consolidated Afloat Network and Enterprise Systems (CANES) program was tasked with replacing computer networks afloat, to both improve productivity and functionality of the fleets Information Technology infrastructure. The program, in its first iteration, fails to include half the ships currently in service and is limited to a small number of specific platforms. Upgrading the existing software on the current platforms may pose a useful resolution to this issue. The computer networks on board submarines provide a good opportunity to explore how cloud computing could benefit older platforms.
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Sotiriadis, Stelios. "The inter-cloud meta-scheduling." Thesis, University of Derby, 2013. http://hdl.handle.net/10545/299501.

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Inter-cloud is a recently emerging approach that expands cloud elasticity. By facilitating an adaptable setting, it purposes at the realization of a scalable resource provisioning that enables a diversity of cloud user requirements to be handled efficiently. This study’s contribution is in the inter-cloud performance optimization of job executions using metascheduling concepts. This includes the development of the inter-cloud meta-scheduling (ICMS) framework, the ICMS optimal schemes and the SimIC toolkit. The ICMS model is an architectural strategy for managing and scheduling user services in
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Karlsson, Karl-Göran. "The use of a satellite-derived cloud climatology for studying cloud-aerosol processes and the performance of regional cloud climate simulations." Doctoral thesis, Stockholm University, Department of Meteorology, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-1364.

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<p>The entry of satellite-derived decadal cloud datasets with homogeneous coverage in time and space enables studies not possible before. This thesis presents two such applications. The first study deals with cloud-aerosol processes and the second with an evaluation of cloud simulations from a regional climate model.</p><p>The first part of the thesis describes the used satellite-derived dataset based on imagery from the Advanced Very High Resolution Radiometer (AVHRR) on the polar orbiting NOAA satellites. A method for cloud retrieval and the compilation of a 1991-2000 Scandinavian cloud clim
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Books on the topic "E- CLOUD"

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Vorobʹev, V. I. Makrostruktura oblachnogo pokrova severnogo polusharii͡a︡. Izd-vo Leningradskogo universiteta, 1990.

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Ye, Kejiang, and Liang-Jie Zhang, eds. Cloud Computing – CLOUD 2021. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96326-2.

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Luo, Min, and Liang-Jie Zhang, eds. Cloud Computing – CLOUD 2018. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94295-7.

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Da Silva, Dilma, Qingyang Wang, and Liang-Jie Zhang, eds. Cloud Computing – CLOUD 2019. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23502-4.

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Zhang, Qi, Yingwei Wang, and Liang-Jie Zhang, eds. Cloud Computing – CLOUD 2020. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59635-4.

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Ye, Kejiang, and Liang-Jie Zhang, eds. Cloud Computing – CLOUD 2022. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-23498-9.

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Douglas, Ellen. Black cloud, white cloud. University Press of Mississippi, 1989.

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Luo, Min, and Liang-Jie Zhang, eds. Cloud Computing – CLOUD 2023. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-51709-9.

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Wang, Yang, and Liang-Jie Zhang, eds. CLOUD Computing – CLOUD 2024. Springer Nature Switzerland, 2025. http://dx.doi.org/10.1007/978-3-031-77153-8.

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illustrator, Catlett Stephanie, ed. Little Cloud and the bully clouds. Appelbaum Training Institute, Inc., 2013.

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Book chapters on the topic "E- CLOUD"

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Slingo, A. "Clouds, Cloud Observations and Cloud Feedbacks." In Remote Sensing and Global Climate Change. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-79287-8_12.

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Veikherman, Dmitry, Amit Aides, Yoav Y. Schechner, and Aviad Levis. "Clouds in the Cloud." In Computer Vision -- ACCV 2014. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16817-3_43.

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Huang, Junjian, Yubin Zhao, XiaoFan Li, and Cheng-Zhong Xu. "Ultra-Low Power Localization System Using Mobile Cloud Computing." In Cloud Computing – CLOUD 2019. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23502-4_1.

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Cheng, Hsin-Pai, Patrick Yu, Haojing Hu, et al. "Towards Decentralized Deep Learning with Differential Privacy." In Cloud Computing – CLOUD 2019. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23502-4_10.

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Xu, Hailu, Liting Hu, Pinchao Liu, and Boyuan Guan. "Exploiting the Spam Correlations in Scalable Online Social Spam Detection." In Cloud Computing – CLOUD 2019. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23502-4_11.

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Lin, Peng, Kejiang Ye, and Cheng-Zhong Xu. "Dynamic Network Anomaly Detection System by Using Deep Learning Techniques." In Cloud Computing – CLOUD 2019. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23502-4_12.

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Marquez, Jack D., Juan D. Gonzalez, and Oscar H. Mondragon. "Heterogeneity-Aware Data Placement in Hybrid Clouds." In Cloud Computing – CLOUD 2019. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23502-4_13.

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Sondur, Sanjeev, and Krishna Kant. "Towards Automated Configuration of Cloud Storage Gateways: A Data Driven Approach." In Cloud Computing – CLOUD 2019. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23502-4_14.

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Craddock, Heather, Lakshmi Prasanna Konudula, Kun Cheng, and Gökhan Kul. "The Case for Physical Memory Pools: A Vision Paper." In Cloud Computing – CLOUD 2019. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23502-4_15.

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Tang, Zhuo, Wei Xiao, Bin Lu, Youfei Zuo, Yuan Zhou, and Keqin Li. "A Parallel Algorithm for Bayesian Text Classification Based on Noise Elimination and Dimension Reduction in Spark Computing Environment." In Cloud Computing – CLOUD 2019. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23502-4_16.

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Conference papers on the topic "E- CLOUD"

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Siavashi, Ahmad, and Mahmoud Momtazpour. "Cloudy: A Pythonic Cloud Simulator." In 2024 32nd International Conference on Electrical Engineering (ICEE). IEEE, 2024. http://dx.doi.org/10.1109/icee63041.2024.10667881.

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Hofstadter, Mark, and Andrew Heidinger. "Infrared Low-Cloud Detection." In Optical Remote Sensing of the Atmosphere. Optica Publishing Group, 1997. http://dx.doi.org/10.1364/orsa.1997.otub.5.

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Traditional infrared cloud retrieval algorithms, such as the Chahine method or the CO2 Slicing technique (Chahine 1974, Smith 1968), rely on recognizing the temperature difference between the ground and the cloud tops. For a low-cloud, however, the temperature difference is small, making it indistinguishable from the surface. As part of our work for the Atmospheric Infrared Sounder (AIRS), to be flown on the EOS-PM platform, we are developing an improved technique for the detection of low-clouds. It is based upon observations of the depth of narrow water vapor lines in an atmospheric window re
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Jeon, Myung-Hoon, Dong-Joo Choi, Byoung-Dai Lee, and Namgi Kim. "Meta-cloud: A cloud of clouds." In 2014 16th International Conference on Advanced Communication Technology (ICACT). Global IT Research Institute (GIRI), 2014. http://dx.doi.org/10.1109/icact.2014.6779089.

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Chandra, Deka Ganesh. "G-Cloud: The Cloud of Clouds." In 2012 2nd IEEE International Conference on Parallel, Distributed and Grid Computing (PDGC). IEEE, 2012. http://dx.doi.org/10.1109/pdgc.2012.6449785.

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Liu, Quan, Yunsong Zhou, Hongzi Zhu, Shan Chang, and Minyi Guo. "APR: Online Distant Point Cloud Registration through Aggregated Point Cloud Reconstruction." In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/134.

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For many driving safety applications, it is of great importance to accurately register LiDAR point clouds generated on distant moving vehicles. However, such point clouds have extremely different point density and sensor perspective on the same object, making registration on such point clouds very hard. In this paper, we propose a novel feature extraction framework, called APR, for online distant point cloud registration. Specifically, APR leverages an autoencoder design, where the autoencoder reconstructs a denser aggregated point cloud with several frames instead of the original single input
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Munhoz, Vanderlei, and Márcio Castro. "HPC@Cloud: A Provider-Agnostic Software Framework for Enabling HPC in Public Cloud Platforms." In Simpósio em Sistemas Computacionais de Alto Desempenho. Sociedade Brasileira de Computação, 2022. http://dx.doi.org/10.5753/wscad.2022.226528.

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The cloud computing paradigm democratized compute infrastructure access to millions of resource-strained organizations, applying economics of scale to massively reduce infrastructure costs. In the High Performance Computing (HPC) context, the benefits of using public cloud resources make it an attractive alternative to expensive on-premises clusters, however there are several challenges and limitations. In this paper, we present HPC@Cloud: a provideragnostic software framework that comprises a set of key software tools to assist in the migration, test and execution of HPC applications in publi
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Spinhirne, James D., William D. Hart, and Reinout Boers. "Cloud Liquid Water Derived from Lidar Observations." In Laser and Optical Remote Sensing: Instrumentation and Techniques. Optica Publishing Group, 1987. http://dx.doi.org/10.1364/lors.1987.tub5.

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The distribution of liquid water at the top of clouds has an important relation to the radiative and dynamical interactions within clouds. As a significant example, the formation and structure of marine stratus clouds are maintained primarily by radiative cooling at the cloud top. Understanding the formation of marine stratus is important climatalogically since the cloud type has a significant global influence on the balance between reflected visible and emitted thermal radiation. Models have shown that the interaction between radiative cooling and the cloud development are largley a function
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Sassen, Kenneth. "Cirrus Cloud Remote Sensing Program at FARS." In Optical Remote Sensing of the Atmosphere. Optica Publishing Group, 1995. http://dx.doi.org/10.1364/orsa.1995.wb1.

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High level cirrus clouds are believed to be important modulators of the radiation balance of the earth/atmosphere system, yet their effects on our potentially warming climate are poorly understood. Although satellites are well positioned to monitor global cloud cover, improvements in current multichannel radiance cloud algorithms to identify and categorize high level clouds are needed. In support of Project FIRE and a broader program of basic cloud research, passive and active remote sensing instrumentation at the University of Utah Facility for Atmospheric Remote Sensing (FARS) has been appli
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Nakajima, Teruyuki, and Michael D. King. "Cloud Microphysics Retrieved From Reflected Solar Radiation Measurements." In Optical Remote Sensing of the Atmosphere. Optica Publishing Group, 1990. http://dx.doi.org/10.1364/orsa.1990.wd6.

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Clouds have a large contribution to the earth's radiation budget (Ramanathan et al., 1989). Changes of cloud optical thickness and droplet size will bring a large climatic change (Liou and Ou, 1989). A cooling effect due to increasing cloud albedo with increasing anthropogenic cloud condensation nuclei may be comparable with the earth's warming due to CO2 increase (Twomey et al., 1984; Wigley, 1989; Radke et al., 1989). Therefore it is very important to study the cloud optical characteristics. In this paper we present results from our retrieval of the cloud optical thickness and effective drop
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Jiang, Haobo, Jianjun Qian, Jin Xie, and Jian Yang. "Planning with Learned Dynamic Model for Unsupervised Point Cloud Registration." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/107.

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Point cloud registration is a fundamental problem in 3D computer vision. In this paper, we cast point cloud registration into a planning problem in reinforcement learning, which can seek the transformation between the source and target point clouds through trial and error. By modeling the point cloud registration process as a Markov decision process (MDP), we develop a latent dynamic model of point clouds, consisting of a transformation network and evaluation network. The transformation network aims to predict the new transformed feature of the point cloud after performing a rigid transformati
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Reports on the topic "E- CLOUD"

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Albrecht, Bruce. Aerosol-Cloud-Drizzle-Turbulence Interactions in Boundary Layer Clouds. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada531259.

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Albrecht, Bruce. Aerosol-Cloud-Drizzle-Turbulence Interactions In Boundary Layer Clouds. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada532783.

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Albrecht, Bruce. Aerosol-Cloud-Drizzle-Turbulence Interactions in Boundary Layer Clouds. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada541857.

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Albrecht, Bruce. Aerosol-Cloud-Drizzle-Turbulence Interactions in Boundary Layer Clouds. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada574045.

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Albrecht, Bruce. Aerosol-Cloud-Drizzle-Turbulence Interactions in Boundary Layer Clouds. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada575522.

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Albrecht, Bruce. Aerosol-Cloud-Drizzle-Turbulence Interactions in Boundary Layer Clouds. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada598037.

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Albrecht, Bruce. Aerosol-Cloud-Drizzle-Turbulence Interactions in Boundary Layer Clouds. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada557114.

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Morgan, Keith, Kory Edward Wegmeyer, and Ryan Daniel Iverson. Private Cloud. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1482905.

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Bartock, Michael. Trusted Cloud:. National Institute of Standards and Technology, 2022. http://dx.doi.org/10.6028/nist.sp.1800-19.

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Cully, John, and Susie Wright. Cloud computing. Parliamentary Office of Science and Technology, 2020. http://dx.doi.org/10.58248/pn629.

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Abstract:
Cloud computing refers to the delivery of computing services on-demand over the internet. This POSTnote describes the different types of cloud computing before outlining issues relating to security, regulation, energy use and barriers to the adoption of this technology.
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