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Artykuły w czasopismach na temat „Data retrieve”

Autor: Grafiati

Data publikacji: 2 czerwca 2025

Data aktualizacji: 31 lipca 2025

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1

Tokumi, Yuta, Junki Hakamata, and Masataka Tokumaru. "Development of a Nutritional Management System for a Healthy Eating Habits Support System." Journal of Advanced Computational Intelligence and Intelligent Informatics 17, no. 2 (2013): 324–34. http://dx.doi.org/10.20965/jaciii.2013.p0324.

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In this study, we propose a Nutritional Management System (NMS) that optimizes nutritional balance using a tabu search. Contemporary recipe retrieval systems generally retrieve a recipe either by using a keyword or by recommending a popular recipe. However, these recipe retrieval systems yield the same retrieval results for different users, and thus, the results do not necessarily reflect an individual user’s tastes. In addition, the search results delivered by many recipe retrieval systems do not always describe the nutritional details of the recipes. Therefore, we developed a Healthy Eating

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Lu, Shijun, Ruru Deng, Yeheng Liang, Longhai Xiong, Xianjun Ai, and Yan Qin. "Remote Sensing Retrieval of Total Phosphorus in the Pearl River Channels Based on the GF-1 Remote Sensing Data." Remote Sensing 12, no. 9 (2020): 1420. http://dx.doi.org/10.3390/rs12091420.

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Total phosphorus (TP) concentration is one of the indicators for surface water quality evaluation. In this study, an indirect algorithm was proposed to retrieve TP concentration. This algorithm retrieves the TP concentration in urban waters based on Gaofen-1 (GF-1) remote sensing data. The algorithm uses the correlation between remote-sensing reflectance, optically significant constituents of water (chlorophyll, suspended sediment, and organic matter (excluding algae)), and TP to establish a retrieval model. First, the concentrations of optically active components are retrieved using a semi-an

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Negi, H. S., and A. Kokhanovsky. "Retrieval of snow grain size and albedo of Western Himalayan snow cover using satellite data." Cryosphere Discussions 5, no. 1 (2011): 605–53. http://dx.doi.org/10.5194/tcd-5-605-2011.

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Abstract. In the present study we describe the retrievals of snow grain size and spectral albedo (plane and spherical albedo) for Western Himalayan snow cover using Hyperion sensor data. The asymptotic radiative transfer (ART) theory was explored for the snow retrievals. To make the methodology operational only five spectral bands (440, 500, 1050, 1240 and 1650 nm) of Hyperion were used for snow parameters retrieval. The bi-spectral method (440 nm in the visible and 1050/1240 nm in the NIR region) was used to retrieve snow grain size. Spectral albedos were retrieved using satellite reflectance

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Negi, H. S., and A. Kokhanovsky. "Retrieval of snow grain size and albedo of western Himalayan snow cover using satellite data." Cryosphere 5, no. 4 (2011): 831–47. http://dx.doi.org/10.5194/tc-5-831-2011.

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Abstract. In the present study we describe the retrievals of snow grain size and spectral albedo (plane and spherical albedo) for western Himalayan snow cover using Hyperion sensor data. The asymptotic radiative transfer (ART) theory was explored for the snow retrievals. To make the methodology operational only five spectral bands (440, 500, 1050, 1240 and 1650 nm) of Hyperion were used for snow parameters retrieval. The bi-spectral method (440 nm in the visible and 1050/1240 nm in the NIR region) was used to retrieve snow grain size. Spectral albedos were retrieved using satellite reflectance

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Taha, G., D. F. Rault, R. P. Loughman, A. E. Bourassa, and C. von Savigny. "SCIAMACHY stratospheric aerosol extinction profile retrieval." Atmospheric Measurement Techniques Discussions 3, no. 6 (2010): 5343–74. http://dx.doi.org/10.5194/amtd-3-5343-2010.

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Abstract. The Ozone Mapper and Profiler Suite Limp Profiler (OMPS/LP) algorithm is used to retrieve ozone and aerosol profiles using a series of 120 SCIAMACHY limb measurements collocated with SAGE II solar occultation events. The primary goal of the study is to ascertain the capability of the OMPS/LP retrieval algorithm to accurately retrieve the vertical distribution of stratospheric aerosol extinction coefficient so as to better account for aerosol effects in the ozone profiling retrieval process. Using simulated radiances, we show that the aerosol extinction coefficient can be retrieved fr

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6

Taha, G., D. F. Rault, R. P. Loughman, A. E. Bourassa, and C. von Savigny. "SCIAMACHY stratospheric aerosol extinction profile retrieval using the OMPS/LP algorithm." Atmospheric Measurement Techniques 4, no. 3 (2011): 547–56. http://dx.doi.org/10.5194/amt-4-547-2011.

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Abstract. The Ozone Mapper and Profiler Suite, Limp Profiler (OMPS/LP) algorithm is used to retrieve ozone concentration and aerosol extinction profiles using a series of 120 SCIAMACHY limb measurements collocated with SAGE II solar occultation events. The primary goal of the study is to ascertain the capability of the OMPS/LP retrieval algorithm to accurately retrieve the vertical distribution of stratospheric aerosol extinction coefficient so as to better account for aerosol effects in the ozone profiling retrieval process. Using simulated radiances, we show that the aerosol extinction coeff

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7

Yin, Xishuang, and Yi Feng. "Data Storage Architecture and Retrieval Based on Water Conservancy Data and Computer Technologies." International Journal of Agricultural and Environmental Information Systems 16, no. 1 (2025): 1–17. https://doi.org/10.4018/ijaeis.373123.

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The reasonable storage and retrieval of spatial data in rivers and lakes can promote the development of river and lake management and protection projects. In order to efficiently store and retrieve river and lake spatial data, this study adopts river and lake data and computer technology to design a data storage architecture and retrieval method based on river and lake spatial data types. The design of the structured data storage architecture adopts relational databases and document databases with spatial indexing characteristics. Use a geospatial data abstraction library to read and write ras

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Dhulavvagol, Praveen M., Akhilesh Gadagkar, K. J. Ateeth, Gururaj Hegade, Ritik Poonia, and S. G. Totad. "Optimised Image Storage and Retrieval on Hadoop." ITM Web of Conferences 53 (2023): 03001. http://dx.doi.org/10.1051/itmconf/20235303001.

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With the exponential growth of data, it is difficult to efficiently store and retrieve data using traditional methods. There is a need to optimize the storage and to efficiently retrieve relevant data matching the user query. Traditional methods lack optimized storage and to effectively retrieve data. To overcome these limitations, in this project, we propose a distributed architecture framework to optimize memory usage and to effectively retrieve relevant data using Content-Based Image Retrieval (CBIR). The experimental results show that the proposed model enhances storage performance and ret

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9

Du, Baolong, Dabin Ji, Jiancheng Shi, et al. "The Retrieval of Total Precipitable Water over Global Land Based on FY-3D/MWRI Data." Remote Sensing 12, no. 9 (2020): 1508. http://dx.doi.org/10.3390/rs12091508.

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Total precipitable water (TPW) is an important key factor in the global water cycle and climate change. The knowledge of TPW characteristics at spatial and temporal scales could help us to better understand our changing environment. Currently, many algorithms are available to retrieve TPW from optical and microwave sensors. There are still no available TPW data over land from FY-3D MWRI, which was launched by China in 2017. However, the TPW product over land is a key element for the retrieval of many ecological environment parameters. In this paper, an improved algorithm was developed to retri

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10

Fang, Ming, Bruce Albrecht, Eunsil Jung, Pavlos Kollias, Haflidi Jonsson, and Ivan PopStefanija. "Retrieval of Vertical Air Motion in Precipitating Clouds Using Mie Scattering and Comparison with In Situ Measurements." Journal of Applied Meteorology and Climatology 56, no. 3 (2017): 537–53. http://dx.doi.org/10.1175/jamc-d-16-0158.1.

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AbstractFor the first time, the Mie notch retrieval technique is applied to airborne cloud Doppler radar observations in warm precipitating clouds to retrieve the vertical air velocity profile above the aircraft. The retrieval algorithm prescribed here accounts for two major sources of bias: aircraft motion and horizontal wind. The retrieval methodology is evaluated using the aircraft in situ vertical air velocity measurements. The standard deviations of the residuals for the retrieved and in situ measured data for an 18-s time segment are 0.21 and 0.24 m s−1, respectively; the mean difference

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Lei, Ming, Li Juan Gao, Qian Liu, and Jing Yuan Yin. "Research on AOD of Shandong Province Based on MODIS Data." Applied Mechanics and Materials 543-547 (March 2014): 2312–17. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.2312.

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Based on transmission model 6S, this paper uses the moderate resolution imaging spectroradiometer (MODIS) data combined with a new aerosol business inversion algorithm, V5.2 of NASA ,to retrieve the atmospheric aerosols optical depth. We take MODIS data in Shandong province as the research data, select 8 groups of MODIS LIB data set combined with Sunny weather (Sunny and cloudless or thin cloud) and AERONET release detection date (NASA release the date of detection value), and validate the retrieved results with the aerosol optical depth (AOD) of the solar luminosity observations erected by AE

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Renno, Anas, Faisal Khateeb, Viviane Kazan, et al. "A single center experience with retrievable IVC filters." Vascular 23, no. 4 (2014): 350–57. http://dx.doi.org/10.1177/1708538114546713.

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Objective To evaluate retrievable IVC filters in our institution and assess their retrieval following a well-structured follow up program. Design Retrospective cohort study. Materials The medical records of patients implanted with retrievable IVC filters were reviewed. Methods All retrievable filter insertions between July 2007 and August 2011 at our institution were reviewed. Data was analyzed for age, gender, indication, complications, retrieval rate, and brand of filter inserted. Statistical analysis was done using SPSS software v19. Chi-square was used to compare discrete data and t-test f

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13

Zhou, Y., X. Lu, Y. Huang, Z. Gao, and Y. Zheng. "NEW SOLAR-INDUCED CHLOROPHYLL FLUORESCENCE RETRIEVAL ALGORITHM BASED ON TANSAT SATELLITE DATA." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-3-2020 (August 3, 2020): 209–14. http://dx.doi.org/10.5194/isprs-annals-v-3-2020-209-2020.

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Abstract. Solar-induced chlorophyll fluorescence (SIF) is an indicator of plant photosynthesis which could be detected by satellite. However，some existing algorithms are easily affected by the inaccuracy of satellite data which will causing deviation in the retrieval of SIF. To avoid "outliers" with inaccuracy affecting the retrieval results, a random sample consensus algorithm (RANSAC) was introduced to retrieve SIF in this paper. The results show that the chlorophyll fluorescence value obtained by this method is consistent with the OCO-2 SIF product (R2 = 0.81), and also consistent with the

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14

Amato, U., A. Antoniadis, I. De Feis, G. Masiello, M. Matricardi, and C. Serio. "Technical note: Functional sliced inverse regression to infer temperature, water vapour and ozone from IASI data." Atmospheric Chemistry and Physics Discussions 9, no. 2 (2009): 7589–613. http://dx.doi.org/10.5194/acpd-9-7589-2009.

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Abstract. A retrieval algorithm that uses a statistical strategy based on dimension reduction is proposed. The methodology and details of the implementation of the new algorithm are presented and discussed. The algorithm has been applied to high resolution spectra measured by the Infrared Atmospheric Sounding Interferometer instrument to retrieve atmospheric profiles of temperature, water vapour and ozone. The performance of the inversion strategy has been assessed by comparing the retrieved profiles to the ones obtained by co-locating in space and time profiles from the European Centre for Me

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Amato, U., A. Antoniadis, I. De Feis, G. Masiello, M. Matricardi, and C. Serio. "Technical Note: Functional sliced inverse regression to infer temperature, water vapour and ozone from IASI data." Atmospheric Chemistry and Physics 9, no. 14 (2009): 5321–30. http://dx.doi.org/10.5194/acp-9-5321-2009.

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Abstract. A retrieval algorithm that uses a statistical strategy based on dimension reduction is proposed. The methodology and details of the implementation of the new algorithm are presented and discussed. The algorithm has been applied to high resolution spectra measured by the Infrared Atmospheric Sounding Interferometer instrument to retrieve atmospheric profiles of temperature, water vapour and ozone. The performance of the inversion strategy has been assessed by comparing the retrieved profiles to the ones obtained by co-locating in space and time profiles from the European Centre for Me

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16

Zhang, Yuyuan, Yahao Liu, Yuan Kong, and Po Hu. "An Improved Method for Retrieving Subsurface Temperature Using the ConvLSTM Model in the Western Pacific Ocean." Journal of Marine Science and Engineering 12, no. 4 (2024): 620. http://dx.doi.org/10.3390/jmse12040620.

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In the era of marine big data, making full use of multi-source satellite observations to accurately retrieve and predict the temperature structure of the ocean subsurface layer is very significant in advancing the understanding of oceanic processes and their dynamics. Considering the time dependence and spatial correlation of marine characteristics, this study employed the convolutional long short-term memory (ConvLSTM) method to retrieve the subsurface temperature in the Western Pacific Ocean from several types of satellite observations. Furthermore, considering the temperature’s vertical dis

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Jasmin, Hilary. "Digital Object Identifiers (DOIs) Prove Highly Effective for Long-Term Data Availability in PLOS ONE." Evidence Based Library and Information Practice 18, no. 3 (2023): 72–74. http://dx.doi.org/10.18438/eblip30378.

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A Review of: Federer, L. M. (2022). Long-term availability of data associated with articles in PLOS ONE. PLOS ONE 17(8), Article e0272845. https://doi.org/10.1371/journal.pone.0272845 Objective – To retrieve a range of PLOS ONE data availability statements and quantify their ability to point to the study data efficiently and accurately. Research questions focused on availability over time, availability of URLs versus DOIs, the ability to locate resources using the data availability statement and availability based on data sharing method. Design – Observational study. Setting – PLOS ONE archive

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18

Tu, Jinsheng, Haohan Wei, Rui Zhang, et al. "GNSS-IR Snow Depth Retrieval from Multi-GNSS and Multi-Frequency Data." Remote Sensing 13, no. 21 (2021): 4311. http://dx.doi.org/10.3390/rs13214311.

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Global navigation satellite system interferometric reflectometry (GNSS-IR) represents an extra method to detect snow depth for climate research and water cycle managing. However, using a single frequency of GNSS-IR for snow depth retrieval is often found to be challenging when attempting to achieve a high spatial and temporal sensitivity. To evaluate both the capability of the GNSS-IR snow depth retrieved by the multi-GNSS system and multi-frequency from signal-to-noise ratio (SNR) data, the accuracy of snow depth retrieval by different frequency signals from the multi-GNSS system is analyzed,

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Huang, Pengyu, Qiang Guo, Changpei Han, Chunming Zhang, Tianhang Yang, and Shuo Huang. "An Improved Method Combining ANN and 1D-Var for the Retrieval of Atmospheric Temperature Profiles from FY-4A/GIIRS Hyperspectral Data." Remote Sensing 13, no. 3 (2021): 481. http://dx.doi.org/10.3390/rs13030481.

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In our study, a retrieval method of temperature profiles is proposed which combines an improved one-dimensional variational algorithm (1D-Var) and artificial neural network algorithm (ANN), using FY-4A/GIIRS (Geosynchronous Interferometric Infrared Sounder) infrared hyperspectral data. First, according to the characteristics of the FY-4A/GIIRS observation data using the conventional 1D-Var, we introduced channel blacklists and discarded the channels that have a large negative impact on retrieval, then used the information capacity method for channel selection and introduced a neural network to

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Satish, Bansal. "A REVIEW: IMAGE RETRIEVAL USING WEB MULTIMEDIA MINING." International Journal of Advances in Engineering & Scientific Research 1, no. 4 (2014): 113–17. https://doi.org/10.5281/zenodo.10720525.

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<strong>Abstract</strong> <em>Multimedia object include audio, video, Image, text etc. where image retrieve play very important role to find any kind of image information which use in business images, satellite images, medical images and so on. Web Multimedia mining is one kind of web mining which retrieving useful multimedia information from web. Image retrieval using web multimedia mining deals with the retrieval of useful image based on the user’s search requirement. This paper focus on web mining, multimedia mining which retrieve all kind of data or image information based on the sea

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Leinonen, Jussi, Matthew D. Lebsock, Simone Tanelli, et al. "Retrieval of snowflake microphysical properties from multifrequency radar observations." Atmospheric Measurement Techniques 11, no. 10 (2018): 5471–88. http://dx.doi.org/10.5194/amt-11-5471-2018.

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Abstract. We have developed an algorithm that retrieves the size, number concentration and density of falling snow from multifrequency radar observations. This work builds on previous studies that have indicated that three-frequency radars can provide information on snow density, potentially improving the accuracy of snow parameter estimates. The algorithm is based on a Bayesian framework, using lookup tables mapping the measurement space to the state space, which allows fast and robust retrieval. In the forward model, we calculate the radar reflectivities using recently published snow scatter

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Wurl, D., R. G. Grainger, A. J. McDonald, and T. Deshler. "Optimal estimation retrieval of aerosol microphysical properties from SAGE II satellite observations in the lower stratosphere." Atmospheric Chemistry and Physics Discussions 9, no. 6 (2009): 23719–53. http://dx.doi.org/10.5194/acpd-9-23719-2009.

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Abstract. A new retrieval algorithm is presented, which is based on the Optimal Estimation (OE) approach and aimed to improve current estimates of aerosol microphysical properties under non-volcanic conditions. The new OE algorithm retrieves log-normal particle size distribution parameters and associated uncertainties from multi-wavelength aerosol extinction data at visible to near infrared wavelengths. The algorithm was tested on synthetic data and then applied to SAGE (Stratospheric Aerosol and Gas Experiment) II data measured in 1999 in the lower stratosphere between 10 and 35 km. Model val

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Qi, Lin, Ronggao Liu, and Yang Liu. "Retrieval of Aerosol Single-Scattering Albedo from MODIS Data Using an Artificial Neural Network." Remote Sensing 14, no. 24 (2022): 6341. http://dx.doi.org/10.3390/rs14246341.

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Aerosol single-scattering albedo (SSA) is one of the largest sources of uncertainty in the evaluation of the aerosol radiative forcing effect. The SSA signal, coupled with aerosol optical depth (AOD) and surface reflectance in satellite images, is difficult to retrieve by the look-up table approach. In this study, we proposed an artificial neural network- (ANN) based approach that retrieves SSA over land based on MODIS (moderate resolution imaging spectroradiometer) visible (red band) reflectance variations among nearby pixels that have different surface reflectivities. Using the training data

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Hamzeh, S., M. Hajeb, S. K. Alavipanah, and J. Verrelst. "RETRIEVAL OF SUGARCANE LEAF AREA INDEX FROM PRISMA HYPERSPECTRAL DATA." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-4/W1-2022 (January 13, 2023): 271–77. http://dx.doi.org/10.5194/isprs-annals-x-4-w1-2022-271-2023.

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Abstract. The PRecursore IperSpettrale della Missione Applicativa (PRISMA) satellite of the Italian Space Agency, lunched in 2019, has provided a new generation source of hyperspectral data showing to have high potential in vegetation variable retrieval. In this study, the newly available PRISMA spectra were exploited to retrieve Leaf Area Index (LAI) of sugarcane using a new kind of Artificial Neural Networks (ANN) so-called Bayesian Regularized Artificial Neural Network (BRANN). The suggested BRANN retrieval model was implemented over a dataset collected during a field campaign in Amir Kabir

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Ben Ayed, Alaidine, Ismaïl Biskri, and Jean-Guy Meunier. "An End-to-End Efficient Lucene-Based Framework of Document/Information Retrieval." International Journal of Information Retrieval Research 12, no. 1 (2022): 1–14. http://dx.doi.org/10.4018/ijirr.289950.

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In the context of big data and the 4.0 industrial revolution era, enhancing document/information retrieval frameworks efficiency to handle the ever‐growing volume of text data in an ever more digital world is a must. This article describes a double-stage system of document/information retrieval. First, a Lucene-based document retrieval tool is implemented, and a couple of query expansion techniques using a comparable corpus (Wikipedia) and word embeddings are proposed and tested. Second, a retention-fidelity summarization protocol is performed on top of the retrieved documents to create a shor

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Hao, Jianying, Yuhong Ren, Yuanying Zhang, et al. "Non-interferometric phase retrieval for collinear phase-modulated holographic data storage." Optical Review 27, no. 5 (2020): 419–26. http://dx.doi.org/10.1007/s10043-020-00611-x.

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Abstract Because of its simple optical system setup and robust noise tolerance, non-interferometric phase retrieval is an important technique for phase-modulated holographic data storage. Usually, the iterative algorithm of non-interferometry needs hundreds of iteration numbers to retrieve phase accurately, the data transfer rate decreases severely. Strong constraints such as adding embedded data into the phase data page can reduce the iteration numbers, but this method decreases the code rate severely. In this paper, we proposed the advanced non-interferometric phase retrieval method based on

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Lv, Na, Yan Huang, Zhi Quan Feng, and Jing Liang Peng. "A Survey on Motion Capture Data Retrieval." Applied Mechanics and Materials 556-562 (May 2014): 2944–47. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.2944.

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With the rapid development of motion capture technology, large motion capture databases are established. How to effectively retrieve the motions from huge amounts of motion data has become a hot topic in computer animation. In this paper, we give a survey on current motion capture data retrieval methods and point out some still existing problems at the end.

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Xue, Yixuan, Xiaolin Zhu, Zihao Wu, and Si-Bo Duan. "Retrieval of Land Surface Temperature over Mountainous Areas Using Fengyun-3D MERSI-II Data." Remote Sensing 15, no. 23 (2023): 5465. http://dx.doi.org/10.3390/rs15235465.

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Land surface temperature (LST) is an important physical quantity in the energy exchange of hydrothermal cycles between the land and near-surface atmosphere at regional and global scales. However, the traditional thermal infrared transfer equation (RTE) and LST retrieval algorithms are always based on the underlying assumptions of homogeneity and isotropy, which ignore the terrain effect influence of a heterogeneous topography. It can cause significant errors when traditional RTE and other algorithms are used to retrieve LST in such mountainous research. In this study, the mountainous thermal i

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Zhang, Yu-Ze, Xiao-Guang Jiang, Hua Wu, Ya-Zhen Jiang, Zhao-Xia Liu, and Cheng Huang. "Land Surface Temperature and Emissivity Separation from Cross-Track Infrared Sounder Data with Atmospheric Reanalysis Data and ISSTES Algorithm." Advances in Meteorology 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/7398312.

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The Cross-track Infrared Sounder (CrIS) is one of the most advanced hyperspectral instruments and has been used for various atmospheric applications such as atmospheric retrievals and weather forecast modeling. However, because of the specific design purpose of CrIS, little attention has been paid to retrieving land surface parameters from CrIS data. To take full advantage of the rich spectral information in CrIS data to improve the land surface retrievals, particularly the acquisition of a continuous Land Surface Emissivity (LSE) spectrum, this paper attempts to simultaneously retrieve a cont

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Uma, R., and B. Latha. "An efficient voice based information retrieval using bag of words based indexing." International Journal of Engineering & Technology 7, no. 3.3 (2018): 622. http://dx.doi.org/10.14419/ijet.v7i2.33.14850.

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Data mining is one of the leading and drastically growing researches nowadays. One of the main areas in data mining is Information Retrieval (IR). Information retrieval is a broad job and it is finding information without any structured nature. Infor-mation retrieval retrieves the user required information from a large collection of data. The existing approaches yet to improve the accuracy in terms of relevant accuracy. In this paper, it is motivated to provide an Information Retrieval System (IRS) where it can retrieve information with high relevancy. The proposed IRS is specially designed fo

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Friedrich, Martina Michaela, Claudia Rivera, Wolfgang Stremme, et al. "NO<sub>2</sub> vertical profiles and column densities from MAX-DOAS measurements in Mexico City." Atmospheric Measurement Techniques 12, no. 4 (2019): 2545–65. http://dx.doi.org/10.5194/amt-12-2545-2019.

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Abstract. We present a new numerical code, Mexican MAX-DOAS Fit (MMF), developed to retrieve profiles of different trace gases from the network of MAX-DOAS instruments operated in Mexico City. MMF uses differential slant column densities (dSCDs) retrieved with the QDOAS (Danckaert et al., 2013) software. The retrieval is comprised of two steps, an aerosol retrieval and a trace gas retrieval that uses the retrieved aerosol profile in the forward model for the trace gas. For forward model simulations, VLIDORT is used (e.g., Spurr et al., 2001; Spurr, 2006, 2013). Both steps use constrained least

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Куликов, М. Ю., M. V. Belikovich, A. G. Chubarov, S. O. Dementyeva, and A. M. Feigin. "Retrieval of Nighttime Distributions of Mesosphere–Lower Thermosphere Characteristics from Satellite Data." Известия Российской академии наук. Физика атмосферы и океана 60, no. 1 (2024): 81–94. http://dx.doi.org/10.31857/s0002351524010086.

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The database of SABER/TIMED satellite campaign includes the distributions of nighttime O, H and some other characteristics of mesosphere – lower thermosphere region which are retrieved from the measurements of OH* volume emission rate (near 2 μm), temperature and ozone. In the core of the retrieval procedure lies the assumption about photochemical equilibrium of nighttime ozone and airglow model that considers two excited states of OH (levels ν = 9, 8). In this work, a modified OH* model (with the rate constants updated according to contemporary publications) is used to retrieve O, H, OH, HO2

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Rezvani, Shahla, Nader Naghshineh, and Ahmad Khalilijafarabad. "Identification of LSA Data Retrieval Method and Temporal Graph for Document Retrieval." Tehnički glasnik 19, no. 1 (2025): 9–16. https://doi.org/10.31803/tg-20230715000112.

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The field of expert finding has seen a large number of approaches proposed both in universities and in industries, using a variety of new techniques in relevant data fields. This study tends to identify information retrieval method of latent semantic analysis and temporal graph for document retrieval. In this study, citation occurrence and author occurrence are independent variables and scales of expert author finding are dependent variables. The method used to evaluate judgment of document and author relevance in the test set formation phase is more similar to survey methods. Library method i

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Zakšek, K., M. Hort, J. Zaletelj, and B. Langmann. "Monitoring volcanic ash cloud top height through simultaneous retrieval of optical data from polar orbiting and geostationary satellites." Atmospheric Chemistry and Physics Discussions 12, no. 9 (2012): 25617–56. http://dx.doi.org/10.5194/acpd-12-25617-2012.

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Abstract. Volcanic ash cloud top height (ACTH) can be monitored on the global level using satellite remote sensing. Here we propose a photogrammetric method based on the parallax between data retrieved from geostationary and polar orbiting satellites to overcome some limitations of the existing methods of ACTH retrieval. SEVIRI HRV band and MODIS band 1 are a good choice because of their high resolution. The procedure works well if the data from both satellites are retrieved nearly simultaneously. MODIS does not retrieve the data at exactly the same time as SEVIRI. To compensate for advection

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Zakšek, K., M. Hort, J. Zaletelj, and B. Langmann. "Monitoring volcanic ash cloud top height through simultaneous retrieval of optical data from polar orbiting and geostationary satellites." Atmospheric Chemistry and Physics 13, no. 5 (2013): 2589–606. http://dx.doi.org/10.5194/acp-13-2589-2013.

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Abstract. Volcanic ash cloud-top height (ACTH) can be monitored on the global level using satellite remote sensing. Here we propose a photogrammetric method based on the parallax between data retrieved from geostationary and polar orbiting satellites to overcome some limitations of the existing methods of ACTH retrieval. SEVIRI HRV band and MODIS band 1 are a good choice because of their high resolution. The procedure works well if the data from both satellites are retrieved nearly simultaneously. MODIS does not retrieve the data at exactly the same time as SEVIRI. To compensate for advection

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Ahmed, Shaikh Asharfali, and Megha Singh. "IMPROVED FUZZY SEARCHINGTECHNOLOGY." COMPUSOFT: An International Journal of Advanced Computer Technology 04, no. 07 (2015): 1928–30. https://doi.org/10.5281/zenodo.14786680.

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In web based applications information retrieval is gaining more popular. There are many advances of searching such as instant fuzzy search. Even if there are few typing errors in words the system will retrieve relevant data. Fuzzy search retrieves relevant data containing words which are similar to keywords. A main computational challenge in this paradigm is the high speed requirement, i.e., each query needs to be answered within milliseconds to achieve an instant response. Fuzzy search is implemented using Edit"s Distance method. 

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Gupta, Rajeev, and Virender Singh. "COMPARATIVE ANALYSIS OF IMAGE RETRIEVAL TECHNIQUES IN CYBERSPACE." International Journal of Students' Research in Technology & Management 8, no. 1 (2020): 01–10. http://dx.doi.org/10.18510/ijsrtm.2020.811.

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Purpose: With the popularity and remarkable usage of digital images in various domains, the existing image retrieval techniques need to be enhanced. The content-based image retrieval is playing a vital role to retrieve the requested data from the database available in cyberspace. CBIR from cyberspace is a popular and interesting research area nowadays for a better outcome. The searching and downloading of the requested images accurately based on meta-data from the cyberspace by using CBIR techniques is a challenging task. The purpose of this study is to explore the various image retrieval tech

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Shen, Jun Hong, Ching Ta Lu, and Ming Shen Jian. "Neighbor-Index Method for Continuous Window Queries over Wireless Data Broadcast." Applied Mechanics and Materials 284-287 (January 2013): 3295–99. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.3295.

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A continuous window query is an important class of spatial queries for location-based services. It retrieves spatial objects in a fixed window region of every point on a line segment and indicates the valid segments of them. In this paper, we focus on continuous window queries in wireless data broadcast systems. Since the query result of the continuous window queries has the spatial locality, providing neighbor information of spatial objects can guide clients to efficiently retrieve related objects. Therefore, we propose a neighbor-index method to efficiently support the continuous window quer

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Hassan, Musa Dauda. "Data Curation: A Perspective of Information Retrieval to Society." International Journal of Research and Scientific Innovation XII, no. III (2025): 563–65. https://doi.org/10.51244/ijrsi.2025.12030040.

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In today’s data-driven world, the ability to effectively manage, organize, and retrieve digital information is critical to societal advancement. The huge and expanding volume of digital content demands effective data curation procedures to assure accessibility, usefulness, and dependability. Information retrieval systems play an important part in this process by organizing data to facilitate knowledge sharing, decision-making, and innovation. This article investigates the importance of data curation, its impact on information retrieval, and its broader consequences for society.

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Du, Baoyu, Kebiao Mao, Sayed M. Bateni, et al. "A Novel Fully Coupled Physical–Statistical–Deep Learning Method for Retrieving Near-Surface Air Temperature from Multisource Data." Remote Sensing 14, no. 22 (2022): 5812. http://dx.doi.org/10.3390/rs14225812.

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Retrieval of near-surface air temperature (NSAT) from remote sensing data is often ill-posed because of insufficient observational information. Many factors influence the NSAT, which can lead to the instability of the accuracy of traditional algorithms. To overcome this problem, in this study, a fully coupled framework was developed to robustly retrieve NSAT from thermal remote sensing data, integrating physical, statistical, and deep learning methods (PS-DL). Based on physical derivation, the optimal combinations of remote sensing bands were chosen for building the inversion equations to retr

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Sun, L., R. Li, and H. Yu. "A NEW ALGORITHM FOR THE AOD INVERSION FROM NOAA/AVHRR DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3 (April 30, 2018): 1587–88. http://dx.doi.org/10.5194/isprs-archives-xlii-3-1587-2018.

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The advanced very high resolution radiometer (AVHRR) data from the National Oceanic and Atmospheric Administration satellite is one of the earliest data applied in aerosol research. The dense dark vegetation (DDV) algorithm is a popular method for the present land aerosol retrieval. One of the most crucial steps in the DDV algorithm with AVHRR data is estimating the land surface reflectance (LSR). However, LSR cannot be easily estimated because of the lack of a 2.13&amp;thinsp;μm band. In this article, the moderate resolution imaging spectroradiometer (MODIS) vegetation index product (MYD1

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Kyrölä, E., J. Tamminen, V. Sofieva, et al. "Retrieval of atmospheric parameters from GOMOS data." Atmospheric Chemistry and Physics Discussions 10, no. 4 (2010): 10145–217. http://dx.doi.org/10.5194/acpd-10-10145-2010.

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Abstract. The Global Ozone Monitoring by Occultation of Stars (GOMOS) instrument on board the European Space Agency's ENVISAT satellite measures attenuation of stellar light in occultation geometry. Daytime measurements also record scattered solar light from the atmosphere. The wavelength regions are the ultraviolet-visible band 248–690 nm and two infrared bands at 755–774 nm and at 926–954 nm. From UV-Visible and IR spectra the vertical profiles of O3, NO2, NO3, H2O, O2 and aerosols can be retrieved. In addition there are two 1 kHz photometers at blue 473–527 nm and red 646–698 nm. Photometer

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Kyrölä, E., J. Tamminen, V. Sofieva, et al. "Retrieval of atmospheric parameters from GOMOS data." Atmospheric Chemistry and Physics 10, no. 23 (2010): 11881–903. http://dx.doi.org/10.5194/acp-10-11881-2010.

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Abstract. The Global Ozone Monitoring by Occultation of Stars (GOMOS) instrument on board the European Space Agency's ENVISAT satellite measures attenuation of stellar light in occultation geometry. Daytime measurements also record scattered solar light from the atmosphere. The wavelength regions are the ultraviolet-visible band 248–690 nm and two infrared bands at 755–774 nm and at 926–954 nm. From UV-Visible and IR spectra the vertical profiles of O3, NO2, NO3, H2O, O2 and aerosols can be retrieved. In addition there are two 1 kHz photometers at blue 473–527 nm and red 646–698 nm. Photometer

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Fu, Zihao, Lidong Bing, and Wai Lam. "Open Domain Event Text Generation." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (2020): 7748–55. http://dx.doi.org/10.1609/aaai.v34i05.6278.

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Text generation tasks aim at generating human-readable text from different kinds of data. Normally, the generated text only contains the information included in the data and its application is thus restricted to some limited scenarios. In this paper, we extend the task to an open domain event text generation scenario with an entity chain as its skeleton. Specifically, given an entity chain containing several related event entities, the model should retrieve from a trustworthy repository (e.g. Wikipedia) the detailed information of these entities and generate a description text based on the ret

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Rani, Shama, and Jaiteg Singh. "Getting Bulk Data Through Google: An empirical study." Journal of Technology Management for Growing Economies 7, no. 2 (2016): 39–48. https://doi.org/10.15415/jtmge.2016.72006.

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To store the information in a database is one of the major tasks. The efficient storage of data is important for future use. Information retrieval is a method of gathering information related to input queries from the various sources or stored databases. To retrieve the information, a search engine plays an important role. A web search engine creates an index to match queries. The quality of information is improved with the help of search engine. For retrieving the information, a search engine comprises some modules such as query processor, a searching and matching function, document processor

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Nwagwu, Honour Chika. "Visualising Inconsistency and Incompleteness in RDF Gene Expression Data using FCA." International Journal of Conceptual Structures and Smart Applications 2, no. 1 (2014): 68–82. http://dx.doi.org/10.4018/ijcssa.2014010105.

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The integration of data from different data sources can result to the existence of inconsistent or incomplete data (IID). IID can undermine the validity of information retrieved from an integrated dataset. There is therefore a need to identify these anomalies. This work presents SPARQL queries that retrieve from an EMAGE dataset, information which are inconsistent or incomplete. Also, it will be shown how Formal Concept Analysis (FCA) tools notably FcaBedrock and Concept Explorer can be applied to identify and visualise IID existing in these retrieved information. Although, instances of IID ca

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Grzegorski, M., M. Wenig, U. Platt, P. Stammes, N. Fournier, and T. Wagner. "The Heidelberg iterative cloud retrieval utilities (HICRU) and its application to GOME data." Atmospheric Chemistry and Physics Discussions 6, no. 2 (2006): 1637–78. http://dx.doi.org/10.5194/acpd-6-1637-2006.

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Abstract. Information about clouds, in particular the accurate identification of cloud free pixels, is crucial for the retrieval of tropospheric vertical column densities from space. The Heidelberg Iterative Cloud Retrieval Utilities (HICRU) retrieve effective cloud fraction using spectra of two instruments designed for trace gas retrievals from space: The Global Ozone Monitoring Experiment (GOME) on the European Remote Sensing Satellite (ERS-2) and the SCanning Imaging Absorption SpectroMeter for Atmospheric CHartographY (SCIAMACHY) on ENVISAT. HICRU applies the widely used threshold method t

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Grzegorski, M., M. Wenig, U. Platt, P. Stammes, N. Fournier, and T. Wagner. "The Heidelberg iterative cloud retrieval utilities (HICRU) and its application to GOME data." Atmospheric Chemistry and Physics 6, no. 12 (2006): 4461–76. http://dx.doi.org/10.5194/acp-6-4461-2006.

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Abstract. Information about clouds, in particular the accurate identification of cloud free pixels, is crucial for the retrieval of tropospheric vertical column densities from space. The Heidelberg Iterative Cloud Retrieval Utilities (HICRU) retrieve effective cloud fraction using spectra of two instruments designed for trace gas retrievals from space: The Global Ozone Monitoring Experiment (GOME) on the European Remote Sensing Satellite (ERS-2) and the SCanning Imaging Absorption SpectroMeter for Atmospheric CHartographY (SCIAMACHY) on ENVISAT. HICRU applies the widely used threshold method t

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Abdulla P., Shaik, and Abdul Razak T. "Retrieval-Based Inception V3-Net Algorithm and Invariant Data Classification using Enhanced Deep Belief Networks for Content-Based Image Retrieval." Scientific Temper 15, spl-1 (2025): 415–24. https://doi.org/10.58414/scientifictemper.2024.15.spl.48.

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In the present scenario, Content-Based Image Retrieval (CBIR) performs a constantly changing function that makes use gain knowledge from images. Moreover, it is also the dynamic sector of research and was recently rewarded due to the drastic increase in the performance of digital images. To retrieve images from the massive dataset, experts utilize Content Based Image Retrieval. This approach automatically indexes and retrieves images depending upon the contents of the image, and the developing techniques for mining images are based on the CBIR systems. Based on the visual characteristics of th

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Mary, A., M. Dumont, J. P. Dedieu, et al. "Retrieval of snow Specific Surface Area (SSA) from MODIS data in mountainous regions." Cryosphere Discussions 6, no. 3 (2012): 1915–61. http://dx.doi.org/10.5194/tcd-6-1915-2012.

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Abstract. This study describes a method to retrieve snow specific surface area (SSA) from satellite radiance reasurements in mountainous terrain. It aims at comparing different retrieval methods and at addressing topographic corrections of reflectance, namely slope and aspect of terrain and multiple reflections on neighbouring slopes. We use an iterative algorithm to compute reflectance from radiance of the MODerate resolution Imaging Spectrometer (MODIS) with a comprehensive correction of local illumination with regards to topography. The retrieved SSA is compared to the results of the snowpa

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