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Journal articles on the topic 'Retrieval etc'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Herrera, Milagros E., Oleg Dubovik, Benjamin Torres, et al. "Estimates of remote sensing retrieval errors by the GRASP algorithm: application to ground-based observations, concept and validation." Atmospheric Measurement Techniques 15, no. 20 (2022): 6075–126. http://dx.doi.org/10.5194/amt-15-6075-2022.

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Abstract. Understanding the uncertainties in the retrieval of aerosol and surface properties is very important for an adequate characterization of the processes that occur in the atmosphere. However, the reliable characterization of the error budget of the retrieval products is a very challenging aspect that currently remains not fully resolved in most remote sensing approaches. The level of uncertainties for the majority of the remote sensing products relies mostly on post-processing validations and intercomparisons with other data, while the dynamic errors are rarely provided. Therefore, imp

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Hanif, Waqar, Hijab Fatima, Muhammad Qasim, Rana Muhammad Atif, and Muhammad Rizwan Javed. "SeqDown: An Efficient Sequence Retrieval Software and Comparative Sequence Retrieval Analysis." Current Trends in OMICS 1, no. 1 (2021): 18–29. http://dx.doi.org/10.32350/cto.11.03.

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For any sequence analysis procedure, a single or multiple sequence must be retrieved, stored, organized. One of the most common public databases used for biological sequence retrieval is GenBank which is a comprehensive public database of nucleotide sequences. However, as the length of the sequence to be retrieved increases such as a chromosome, entire genome, scaffold, etc., the elapsed time to download the file gets even elongated due to slower bandwidth to download/retrieve the sequence.[8] In most cases, during sequence analysis, the researcher requires messenger RNA (mRNA), RNA, DNA, prot

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Abburu, Sunitha, and Nitant Dube. "Satellite Parametric Description to Ontology Concepts and Semantic Classification of Satellite Data." International Journal on Semantic Web and Information Systems 12, no. 2 (2016): 53–75. http://dx.doi.org/10.4018/ijswis.2016040103.

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Current satellite data retrieval systems retrieves data using latitude, longitude, date, time and sensor parameters like wind, cloud etc. To achieve concept based satellite data retrieval like Storm, Hurricane, Overcast and Frost etc., requires ontological concept descriptions using satellite observation parameters and concept based classification of satellite data. The current research work has designed and implemented a two phase methodology to achieve this. The phase 1 defines ontology concepts through satellite observation parameters and phase 2 describes ontology concept based satellite d

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Srinivasa Reddy, K., R. Anandan, K. Kalaivani, and P. Swaminathan. "A comprehensive survey on content based image retrieval system and its application in medical domain." International Journal of Engineering & Technology 7, no. 2.31 (2018): 181. http://dx.doi.org/10.14419/ijet.v7i2.31.13436.

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Content Based Image Retrieval (CBIR) is an important and widely used technique for retrieval of different kinds of images from large database. Collection of information in database are available in different formats such as text, image, graph, chart etc. Here, our focus is on information which is available in the form of images. Searching and retrieval of the image from a large amount of database is difficult problem because it uses the image visual information such as shape, text and color for indexing and representation of an image. For efficient CBIR system, there is a need to develop diffe

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Varma, Ankitha, and Dr Kamalpreet Kaur. "Survey on content based image retrieval." International Journal of Engineering & Technology 7, no. 4.5 (2018): 471. http://dx.doi.org/10.14419/ijet.v7i4.5.21136.

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Now-a-days, because of the advancement in the digital technology and the use of internet, a huge amount of digital data is available in the form of medical images, remote sensing, digital museums, geographical information, etc. This has lead to the need of accurate and efficient techniques for the search and retrieval of relevant images from such voluminous datasets. Content based image retrieval (CBIR) is one such approach which is increasingly being used to search and retrieve query image from the databases. CBIR combines features of color, texture as well as shape which ease out the process

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Meunier, Véronique, David D. Turner, and Pavlos Kollias. "On the Challenges of Tomography Retrievals of a 2D Water Vapor Field Using Ground-Based Microwave Radiometers: An Observation System Simulation Experiment." Journal of Atmospheric and Oceanic Technology 32, no. 1 (2015): 116–30. http://dx.doi.org/10.1175/jtech-d-13-00194.1.

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AbstractTwo-dimensional water vapor fields were retrieved by simulated measurements from multiple ground-based microwave radiometers using a tomographic approach. The goal of this paper was to investigate how the various aspects of the instrument setup (number and spacing of elevation angles and of instruments, number of frequencies, etc.) affected the quality of the retrieved field. This was done for two simulated atmospheric water vapor fields: 1) an exaggerated turbulent boundary layer and 2) a simplified water vapor front. An optimal estimation algorithm was used to obtain the tomographic

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Mamatha, Ch, Dr V. Anandam, Priyadarshini Chatterjee, and Hepshiba Vijaya Kumari. "Attribute Based Image Retrieval and Segmentation using On-tological Approaches." International Journal of Engineering & Technology 7, no. 4.6 (2018): 103. http://dx.doi.org/10.14419/ijet.v7i4.6.20440.

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Content based image retrieval is gaining more and more importance as it is an apt approach to retrieve an image. The image is retrieved based on certain texture. Ontology is a branch of Meta Physics that helps in analyzing an input image based on certain textures. Ontology helps to retrieve an image based on its properties. Ontology describes a domain. With that domain, we can proceed further to understand the relation between the features present in the domain. There are biological-ontologies to analyze biological outcomes. The field of information technology can be combined with biological o

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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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Egli, Luca, Julian Gröbner, Herbert Schill, and Eliane Maillard Barras. "Total column ozone retrieval from a novel array spectroradiometer." Atmospheric Measurement Techniques 16, no. 11 (2023): 2889–902. http://dx.doi.org/10.5194/amt-16-2889-2023.

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Abstract. This study presents a new total column ozone (TCO) retrieval from the Koherent system, developed at the Physikalisch-Meteorologisches Observatorium Davos, World Radiation Center (PMOD/WRC). The instrument is based on a small, cost-effective, robust, low-maintenance and state-of-the-art-technology array spectroradiometer. It consists of a BTS-2048-UV-S-F array spectroradiometer from Gigahertz-Optik GmbH, coupled with an optical fibre to a lens-based telescope mounted on a sun tracker for measuring direct UV irradiance in the ultraviolet wavelength band between 305 to 345 nm. Two diffe

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Zhu, Qiuyu, Dongmei Li, Cong Dai, Qichen Han, and Yi Lin. "PLSA-Based Personalized Information Retrieval with Network Regularization." Journal of Information Technology Research 12, no. 1 (2019): 105–16. http://dx.doi.org/10.4018/jitr.2019010108.

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With the rapid development of the Internet, the information retrieval model based on the keywords matching algorithm has not met the requirements of users, because people with various query history always have different retrieval intentions. User query history often implies their interests. Therefore, it is of great importance to enhance the recall ratio and the precision ratio by applying query history into the judgment of retrieval intentions. For this sake, this article does research on user query history and proposes a method to construct user interest model utilizing query history. Coordi

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Khalid, S., S. Khusro, I. Ullah, and G. Dawson-Amoah. "On The Current State of Scholarly Retrieval Systems." Engineering, Technology & Applied Science Research 9, no. 1 (2019): 3863–70. http://dx.doi.org/10.48084/etasr.2448.

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The enormous growth in the size of scholarly literature makes its retrieval challenging. To address this challenge, researchers and practitioners developed several solutions. These include indexing solutions e.g. ResearchGate, Directory of Open Access Journals (DOAJ), Digital Bibliography & Library Project (DBLP) etc., research paper repositories e.g. arXiv.org, Zenodo, etc., digital libraries, scholarly retrieval systems, e.g., Google Scholar, Microsoft Academic Search, Semantic Scholar etc., digital libraries, and publisher websites. Among these, the scholarly retrieval systems, the main

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Khalid, Shah, Shah Khusro, Irfan Ullah, and Godfrey Dawson-Amoah. "On The Current State of Scholarly Retrieval Systems." Engineering, Technology & Applied Science Research 9, no. 1 (2019): 3863–70. https://doi.org/10.5281/zenodo.2576374.

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The enormous growth in the size of scholarly literature makes its retrieval challenging. To address this challenge, researchers and practitioners developed several solutions. These include indexing solutions e.g. ResearchGate, Directory of Open Access Journals (DOAJ), Digital Bibliography & Library Project (DBLP) etc., research paper repositories e.g. arXiv.org, Zenodo, etc., digital libraries, scholarly retrieval systems, e.g., Google Scholar, Microsoft Academic Search, Semantic Scholar etc., digital libraries, and publisher websites. Among these, the scholarly retrieval systems, the main

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Mawhesaran, T. "Document Vectorization for Large-Scale Information Retrieval Systems." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 02 (2025): 1–9. https://doi.org/10.55041/ijsrem41430.

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The invention presents an entirely new paradigm of document-search framework to make the retrieval and access of specific information from several thousands of documents, especially PDF files, as simple and easy as possible. The document content and metadata are retrieved for search using a vector-based approach with state-of-the-art vectorization techniques and vector databases such as MilvusDB. Document content is prepared and vectorized using preprocessing methods such as stop word removal, tokenization, normalization, etc. The vector data are stored in the database and indexed by such tech

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Chakraverti, Ashish. "Deep Learning based Smart Image Search Engine." International Journal for Research in Applied Science and Engineering Technology 12, no. 2 (2024): 1577–85. http://dx.doi.org/10.22214/ijraset.2024.58602.

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Abstract: This paper introduces a new reverse search engine integration into content-based image retrieval (CBIR) systems that employs convolutional neural networks (CNNs) for feature extraction. It generates global descriptors using pre-trained CNN architectures such as ResNet50, InceptionV3, and InceptionResNetV2. It retrieves visually similar images without depending on linguistic annotations. Comparative analysis against existing methods, such as Gabor Wavelet, CNN-SVM, Metaheuristic Algorithm, etc., has been tested, and it proves the superiority of the proposed algorithm, the Cartoon Text

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Sheetal, Deepak Patil. "Content Based Image and Video Retrieval: A Compressive Review." International Journal of Engineering and Advanced Technology (IJEAT) 10, no. 5 (2021): 243–47. https://doi.org/10.35940/ijeat.E2783.0610521.

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Content-based image retrieval is quickly becoming the most common method of searching vast databases for images, giving researchers a lot of room to develop new techniques and systems. Likewise, another common application in the field of computer vision is content-based visual information retrieval. For image and video retrieval, text-based search and Web-based image reranking have been the most common methods. Though Content Based Video Systems have improved in accuracy over time, they still fall short in interactive search. The use of these approaches has exposed shortcomings such as noisy d

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Liu, Xiao. "The Improvement of Computer Information Retrieval Efficiency." Applied Mechanics and Materials 651-653 (September 2014): 1984–87. http://dx.doi.org/10.4028/www.scientific.net/amm.651-653.1984.

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Recall ratio and Precision ratio are two important indices of the effect evaluation of computer information retrieval. This paper analyzed factors impacting Recall ratio and Precision ratio, then discussed the improving of computer information retrieval efficiency from retrieval approach, database selecting and retrieval pattern, etc.

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Dorda, W., B. Haidl, and P. Sachs. "Processing Medical Natural Language Data by the System WAREL." Methods of Information in Medicine 27, no. 02 (1988): 67–72. http://dx.doi.org/10.1055/s-0038-1635521.

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SummaryMany clinical data are in natural language form (diagnoses, therapies, etc.). There is great interest in making these data retrievable to form samples of patients for scientific investigations (statistical analyses, courses of diseases, etc.). To perform this task, “medical natural language data” have to be prepared and stored in a retrieval-oriented database. In this paper, the advantages of processing textual data are shown in contrast to coding. Accordingly, in our system WAREL medical thesauri (like ICD 9 or SNOMED) are not used for codification; they are taken as a knowledge base d

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Namrata, Dave, and S. Holia Mehfuza. "News Story Retrieval Based on Textual Query." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 3 (2021): 2918–22. https://doi.org/10.5281/zenodo.5589205.

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This paper presents news video retrieval using text query for Gujarati language news videos. Due to the fact that Broadcasted Video in India is lacking in metadata information such as closed captioning, transcriptions etc., retrieval of videos based on text data is trivial task for most of the Indian language video. To retrieve specific story based on text query in regional language is the key idea behind our approach. Broadcast video is segmented to get shots representing small news stories. To represent each shot efficiently, key frame extraction using singular value decomposition and rank o

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Wang, Pengyue, Maozu Guo, Yunsong Han, Lingling Zhao, Xiaoping Zhou, and Dayu Zhang. "Ensemble learning-based hierarchical retrieval of similar cases for site planning." Journal of Computational Design and Engineering 8, no. 6 (2021): 1548–61. http://dx.doi.org/10.1093/jcde/qwab058.

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Abstract Site planning not only involves the arrangement of a large number of elements but also considers the complexity of urban systems; hence, the design process involves large workloads and is time consuming. Retrieving similar existing cases helps architects optimize or accelerate the design process. This paper proposes a computational approach that provides valuable references by retrieving similar cases. Three types of attributes are extracted to represent a given parcel: land-use attributes, geometric attributes (area, orientation, etc.), and environmental attributes (greening rate, su

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Suhas, D. Pachpande, and U. Bhalchandra Parag. "Cross Language Information Retrieval (CLIR): A Survey of Approaches for Exploring Web Across Languages." International Journal of Innovative Technology and Exploring Engineering (IJITEE) 10, no. 1 (2020): 326–32. https://doi.org/10.35940/ijitee.K7833.1110120.

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In the era of globalization, internet being accessible and affordable has gained huge popularity and is widely being used almost everywhere by Government, private organizations, companies, banks, etc. as well as by individuals. It has empowered its users to contribute to the creation of information on web enabling them to use their native languages which consequently has drastically increased the volume of web-accessible documents available in languages other than English. This exponential growth of information on the internet has also induced several challenges before the information retrieva

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Bai, Li, Xin Lv, and Xiaojun Li. "Evaluation of Two SMAP Soil Moisture Retrievals Using Modeled- and Ground-Based Measurements." Remote Sensing 11, no. 24 (2019): 2891. http://dx.doi.org/10.3390/rs11242891.

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A comprehensive evaluation of the performance of satellite-based soil moisture (SM) retrievals is undoubtedly very important to improve its quality and evaluate its potential application in hydrology, climate, and natural disasters (drought, flood, etc.). Since the release of the SMAP (Soil Moisture Active Passive) mission data in April 2015, the associated SM retrieval algorithms have developed rapidly, and their improvement work is still in progress. However, some newly developed SM retrievals have not been fully assessed and inter-compared. One such product is the new multi-temporal dual-ch

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Muradi, Akhmadu, and Rudi Hermansyah. "Optimal Time of Extraction Retrievable Inferior Vena Cava Filters in Venous Thromboembolic Treatment: Evidence Based Case Report." Journal of Indonesian Society for Vascular and Endovascular Surgery 2, no. 1 (2021): 41–47. http://dx.doi.org/10.36864/jinasvs.2021.1.011.

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Background: Inferior vena cava (IVC) filters have been proven to be significantly advantageous and clinically efficacious in the prevention of deathly venous thromboembolism, but also carry long-term risks, such as device failure, filter fracture, migration, penetration into adjacent structures, etc. Retrievable filters offer the same degree of protection, and subsequently lower those risk by removing them after they aren’t needed. Unfortunately, increasing use of retrievable filters leads to one alarming trend: there’s massive number of filters that are left for an extended time. Whether the

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Moutaoukkil, Assmaa, Ali Idarrou, and Imane Belahyane. "Information retrieval approaches." International journal of electrical and computer engineering systems 13, no. 10 (2022): 961–70. http://dx.doi.org/10.32985/ijeces.13.10.11.

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The area of information retrieval (IR) has taken on increasing importance in recent years. This field is now of interest to large communities in several application domains (security, medicine, aeronautics, etc.). IR studies find relevant information from the semi-unstructured type of data. As the information resources generated after the search can be extensive in quantity and different in quality, it is essential to rank these results according to the degree of relevance. This paper focuses on text information retrieval (TIR) and emphasizes the importance of each IR approach. This study pres

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Jena, Gouranga Charan, and Siddharth Swarup Rautaray. "A comprehensive survey on cross-language information retrieval system." Indonesian Journal of Electrical Engineering and Computer Science 14, no. 1 (2019): 127. http://dx.doi.org/10.11591/ijeecs.v14.i1.pp127-134.

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Cross language information retrieval (CLIR) is a retrieval process in which the user fires queries in one language to retrieve information from another (different) language. The diversity of information and language barriers are the serious issues for communication and cultural exchange across the world. To solve such barriers, Cross language information retrieval system, are nowadays in strong demand. CLIR is a subset of Information Retrieval (IR) system. Information Retrieval deals with finding useful information from a large collection of unstructured, structured and semi-structured data to

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Zhang, Bo, Meng Zhang, and Danfeng Hong. "Land surface temperature retrieval from Landsat 8 OLI/TIRS images based on back-propagation neural network." Indoor and Built Environment 30, no. 1 (2019): 22–38. http://dx.doi.org/10.1177/1420326x19882079.

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Land surface temperature (LST) is an important parameter related to the environmental assessment concerning the surface energy, water balance, greenhouse effect, etc. at local and global scales. With the rapid development of the remote sensing technology, various methodologies have been developed to retrieve LST from space-based remote sensing images. Due to the ill-posed problem, the LST retrieval is still a challenge. In this research, a so-called multiple band reflectance (MBR)-LST model has been proposed based on the back-propagation neural (BPN) network, which can be employed to retrieve

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Jia, Yan, Shuanggen Jin, Patrizia Savi, Qingyun Yan, and Wenmei Li. "Modeling and Theoretical Analysis of GNSS-R Soil Moisture Retrieval Based on the Random Forest and Support Vector Machine Learning Approach." Remote Sensing 12, no. 22 (2020): 3679. http://dx.doi.org/10.3390/rs12223679.

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Global Navigation Satellite System-Reflectometry (GNSS-R) as a microwave remote sensing technique can retrieve the Earth’s surface parameters using the GNSS reflected signal from the surface. These reflected signals convey the surface features and therefore can be utilized to detect certain physical properties of the reflecting surface such as soil moisture content (SMC). Up to now, a serial of electromagnetic models (e.g., bistatic radar and Fresnel equations, etc.) are employed and solved for SMC retrieval. However, due to the uncertainty of the physical characteristics of the sites, complex

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Singh, Vikram. "Promoting Document Relevance Using Query Term Proximity for Exploratory Search." International Journal of Information Retrieval Research 13, no. 1 (2023): 1–22. http://dx.doi.org/10.4018/ijirr.325072.

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In the information retrieval system, relevance manifestation is pivotal and regularly based on document-term statistics, i.e., term frequency (tf), inverse document frequency (idf), etc. Query term proximity (QTP) within matched documents is mostly under-explored. In this article, a novel information retrieval framework is proposed to promote the documents among all relevant retrieved ones. The relevance estimation is a weighted combination of document statistics and query term statistics, and term-term proximity is simply aggregates of diverse user preferences aspects in query formation, thus

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Jasmine K. S., Rishav Raj, and Mahalakshmi Mabla Naik. "A New Content-Based Search Mechanism for Image Retrieval Search Engine." International Journal of Information Retrieval Research 12, no. 1 (2022): 1–16. http://dx.doi.org/10.4018/ijirr.289611.

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In the growing world of technology, where everything is available in just one click, the user expectations has increased with time. In the era of Search Engines, where Google, Yahoo are providing the facility to search through text and voice and image , it has become a complex work to handle all the operations and lot more of data storage is needed. It is also a time consuming process. In the proposed Image retrieval Search Engine, the user enters the queried image and that image is being matched with the template images . The proposed approach takes the input image with 15% accuracy to 100% a

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Sen, Procheta. "Proactive information retrieval." ACM SIGIR Forum 55, no. 2 (2021): 1–2. http://dx.doi.org/10.1145/3527546.3527576.

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Users interact with digital systems with some underlying tasks in their minds. In our research scope, a task can be either single or multi-staged. A single-staged task is associated with a single information need, whereas a multi-staged one is associated with more than one information needs. An example of a single-staged task is suggesting related papers to an author while they are writing a section of the research papers. An example of a multi-staged task is planning for a vacation, where the different underlying information needs could be 'places to visit', 'booking accommodation' etc. In th

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Gu, Haoran, Yuhuan Zhang, Cheng Fan, et al. "A Comprehensive Analysis of Ultraviolet Remote Sensing for Aerosol Layer Height Retrieval from Multi-Angle Polarization Satellite Measurements." Remote Sensing 14, no. 24 (2022): 6258. http://dx.doi.org/10.3390/rs14246258.

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Based on the optimal estimation (OE) theory and information content analysis method, we discuss the ability to include the multi-angle satellite ultraviolet polarization channel to retrieve the aerosol layer height (ALH) for ten typical aerosol types in the China region. We also quantitatively evaluate the effects of polarization measurements and the number of viewing angles on ALH retrieval under different conditions (aerosol model, aerosol optical depth, etc.). By comparing the different degree of freedom for signal (DFS) results of ALH caused by the theoretical retrieval error changes in di

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Ding, Ge, Wenjie Xiong, Peipei Wang, et al. "Spatial phase retrieval of vortex beam using convolutional neural network." Journal of Optics 24, no. 2 (2022): 025701. http://dx.doi.org/10.1088/2040-8986/ac45d1.

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Abstract Vortex beam (VB) possessing spatially helical phase–front has attracted widespread attention in free-space optical communication, etc. However, the spiral phase of VB is susceptible to atmospheric turbulence, and effective retrieval of the distorted conjugate phase is crucial for its practical applications. Herein, a convolutional neural network (CNN) approach to retrieve the phase distribution of VB is experimentally demonstrated. We adopt a spherical wave to interfere with VB for converting its phase information into intensity changes, and construct a CNN model with excellent image

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Nitisha, Soni M.Tech. (IT) Scholar* &. Latika Pinjarkar Sr. Associate Professor (IT). "CONTENT BASED IMAGE RETRIEVAL (CBIR): REVIEW AND CHALLENGES." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 6 (2017): 171–74. https://doi.org/10.5281/zenodo.805409.

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Content based image retrieval (CBIR) from large resources has become an area of wide interest nowadays in many applications. CBIR is very useful in several applications such as medical imaging, modern diagnosis, remote sensing and satellite imaging. The different types of images are subjected to set of operations used as constituent stages of CBIR. The method was initially used in 1990s and it is an image retrieval method using image vision contents such as color, texture, shape, spatial relationship, not using image notation to search images.Satellite imagery has become an important part of o

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Arunlal, S. L., N. Santhi, and K. Ramar. "Design and Implementation of Content-Based Natural Image Retrieval Approach Using Feature Distance." International Journal of Image and Graphics 20, no. 02 (2020): 2050014. http://dx.doi.org/10.1142/s021946782050014x.

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Generally, the database is a gathering of data that is arranged for simple storage, retrieval and modernize. This data comprises of numerous structures like text, table, and image, outline and chart and so on. Content-based image retrieval (CBIR) is valuable for calculating the huge amount of image databases and records and for distinguishes retrieving similar images. Rather than text-based searching, CBIR effectively recovers images that are similar like query image. CBIR assumes a significant role in various areas including restorative finding, industry estimation, geographical information s

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Scharringhausen, M., A. C. Aikin, J. P. Burrows, and M. Sinnhuber. "First space-borne measurements of the altitude distribution of mesospheric magnesium species." Atmospheric Chemistry and Physics Discussions 7, no. 2 (2007): 4597–656. http://dx.doi.org/10.5194/acpd-7-4597-2007.

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Abstract. We present a joint retrieval as well as first results for mesospheric air density and mesospheric Magnesium species (Mg and Mg+) using limb data from the SCIAMACHY instrument on board the European ENVISAT satellite. Metallic species like neutral Mg, ionized Mg+ and others (Fe, Si, Li, etc.) ablate from meteoric dust, enter the gas phase and occur at high altitudes (≥70 km). Emissions from these species are clearly observed in the SCIAMACHY limb measurements. These emissions are used to retrieve total and thermospheric column densities as well as altitude-resolved profiles of metallic

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Scharringhausen, M., A. C. Aikin, J. P. Burrows, and M. Sinnhuber. "Space-borne measurements of mesospheric magnesium species – a retrieval algorithm and preliminary profiles." Atmospheric Chemistry and Physics 8, no. 7 (2008): 1963–83. http://dx.doi.org/10.5194/acp-8-1963-2008.

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Abstract. We present a joint retrieval as well as first results for mesospheric air density and mesospheric Magnesium species (Mg and Mg+) using limb data from the SCIAMACHY instrument on board the European ENVISAT satellite.considered. These species feature Metallic species like neutral Mg, ionized Mg+ and others (Fe, Si, Li, etc.) ablate from meteoric dust, enter the gas phase and occur at high altitudes (≥70 km). Emissions from these species are clearly observed in the SCIAMACHY limb measurements. These emissions are used to retrieve total and thermospheric column densities as well as preli

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Shivaditya, Jatar*1 &. Ayush Mittal2. "SURVEY AND DESIGN OF CONTENT BASED IMAGE RETRIEVAL USING DATA MINING CLUSTERING ALGORITHM." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 10 (2017): 160–63. https://doi.org/10.5281/zenodo.1002687.

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As processors become increasingly powerful, and memories become increasingly cheaper, the deployment of large image databases for a variety of applications have now become realizable. Databases of art works, satellite and medical imagery have been attracting more and more users in various professional fields for example, geography, medicine, architecture, advertising, design, fashion, and publishing. Effectively accessing desired images from large and varied image databases is now a necessity. Due to development of multimedia technology and increasing vogue of the computer network, the convent

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Daw, Khin Po. "Similarity Based Information Retrieval Using Levenshtein Distance Algorithm." International Journal of Advances in Scientific Research and Engineering (ijasre) 6, no. 4 (2020): 6–17. https://doi.org/10.31695/IJASRE.2020.33780.

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<em>Sentence similarity plays an important role in many text-related research and applications such as information retrieval, information recommendation, natural language processing, machine translation and translation memory, and etc. Calculating similarity between sentences is the basis of measuring the similarity between texts which is the key to document classification and clustering. Sentence similarity partially depends on the word similarity. This system will display a similar text of field, areas and other facts in document retrieval. This paper uses a sentence matching method of the L

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Nwosu, Obiora, and Isaac Echezonam Anyira. "Inquiry into the Use of Google and Yahoo Search Engines in Retrieving Web Resources by Internet Users in Nigeria." Indian Journal of Information Sources and Services 1, no. 2 (2011): 61–67. http://dx.doi.org/10.51983/ijiss.2011.1.2.329.

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This paper investigated the use of Google and Yahoo search engines in retrieving relevant information resources by Nigerian internet users. It was found that Nigerians prefer the search services of Google to Yahoo. This is because with Google search engine, they are able to retrieve the exact information that they need; they obtain more relevant and adequate information resources than Yahoo; Google is easier to use than Yahoo; and Google retrieves faster than Yahoo. Most Nigerian internet users have personal access through their mobile devices such as mobile phones, lap tops, palm tops etc. It

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Lin, Jin Hui, and Ji Xiang Zhang. "Based on Texture Feature of Color Image Retrieval." Applied Mechanics and Materials 268-270 (December 2012): 1748–51. http://dx.doi.org/10.4028/www.scientific.net/amm.268-270.1748.

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Along with the development of multimedia technology, large capacity image library a wide range of applications, content-based image retrieval (CBIR) technology is management and retrieval effective means. Among the contend-based retrieval techno-logiest, feature extraction is most important. For instance, color, texture and shape feature etc. But each feature of image can only catch one aspect of the similarity of image, how to represent images better has become a important research field in content -based image retrieval. Introduced the use of image texture characteristics of image retrieval

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Tian, Yafu, Alexander Carballo, Ruifeng Li, Simon Thompson, and Kazuya Takeda. "Query by Example: Semantic Traffic Scene Retrieval Using LLM-Based Scene Graph Representation." Sensors 25, no. 8 (2025): 2546. https://doi.org/10.3390/s25082546.

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In autonomous driving, retrieving a specific traffic scene in huge datasets is a significant challenge. Traditional scene retrieval methods struggle to cope with the semantic complexity and heterogeneity of traffic scenes and are unable to meet the variable needs of different users. This paper proposes “Query-by-Example”, a traffic scene retrieval approach based on Visual-Large Language Model (VLM)-generated Road Scene Graph (RSG) representation. Our method uses VLMs to generate structured scene graphs from video data, capturing high-level semantic attributes and detailed object relationships

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Worden, H. M., D. P. Edwards, M. N. Deeter, et al. "Averaging kernel prediction from atmospheric and surface state parameters based on multiple regression with MOPITT CO and TES-OMI O<sub>3</sub> multispectral observations." Atmospheric Measurement Techniques Discussions 6, no. 2 (2013): 2751–91. http://dx.doi.org/10.5194/amtd-6-2751-2013.

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Abstract. A current obstacle to the Observation System Simulation Experiments (OSSEs) used to quantify the potential performance of future atmospheric composition remote sensing systems is a computationally efficient method to define the scene-dependent vertical sensitivity of measurements as expressed by the retrieval averaging kernels (AKs). We present a method for the efficient prediction of AKs for multispectral retrievals of carbon monoxide (CO) and ozone (O3) based on actual retrievals from MOPITT on EOS-Terra and TES and OMI on EOS-Aura, respectively. This employs a multiple regression

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Glory, V., and S. Domnic. "Re-Ordered FEGC and Block Based FEGC for Inverted File Compression." International Journal of Information Retrieval Research 3, no. 1 (2013): 71–88. http://dx.doi.org/10.4018/ijirr.2013010105.

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Data compression has been widely used in many Information Retrieval based applications like web search engines, digital libraries, etc. to enable the retrieval of data to be faster. In these applications, universal codes (Elias codes (EC), Fibonacci code (FC), Rice code (RC), Extended Golomb code (EGC), Fast Extended Golomb code (FEGC) etc.) have been preferably used than statistical codes (Huffman codes, Arithmetic codes etc). Universal codes are easy to be constructed and decoded than statistical codes. In this paper, the authors have proposed two methods to construct universal codes based o

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Jitendra, Singh* Prof. Kailash Patidar Mr. Gaurav Saxena. "DEVELOPMENT OF CONTENT BASED IMAGE RETRIEVAL SYSTEM USING NEURAL NETWORK & MULTI-RESOLUTION ANALYSIS." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 5, no. 7 (2016): 6–9. https://doi.org/10.5281/zenodo.56882.

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In this paper proposed the content based image retrieval one of most technique of data and multimedia technology. As image collections are growing at a rapid rate, and demand for efficient and effective tools for retrieval of query images from database is increased significantly. Between, content-based image retrieval systems have become very popular for browsing, in searching and retrieving images from a large database of digital images as it requires relatively less human intervention. In this paper is an attempt to explore the content based image retrieval techniques and their usage in vari

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Yadhav, Poonam. "Adaptive Firefly Optimization on Reducing High Dimensional Weighted Word Affinity Graph." COMPUSOFT: An International Journal of Advanced Computer Technology 03, no. 12 (2014): 1407–11. https://doi.org/10.5281/zenodo.14768420.

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Document analysis and retrieval system can best define an efficient information retrieval system. Among various processing stages in a document analysis and retrieval system, feature descriptors at processing volume limit require more importance while developing the system. This is mainly because of the increase in probability of getting high dimensional semantic description. This increases the vitality of opting a robust dimensionality reduction method for our retrieval system. Principle Component Analysis (PCA), Independent Component Analysis (ICA), etc are the most popular dimensionality re

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Román, Roberto, Juan C. Antuña-Sánchez, Victoria E. Cachorro, et al. "Retrieval of aerosol properties using relative radiance measurements from an all-sky camera." Atmospheric Measurement Techniques 15, no. 2 (2022): 407–33. http://dx.doi.org/10.5194/amt-15-407-2022.

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Abstract. This paper explores the potential of all-sky cameras to retrieve aerosol properties with the GRASP code (Generalized Retrieval of Atmosphere and Surface Properties). To this end, normalized sky radiances (NSRs) extracted from an all-sky camera at three effective wavelengths (467, 536 and 605 nm) are used in this study. NSR observations are a set of relative (uncalibrated) sky radiances in arbitrary units. NSR observations have been simulated for different aerosol loads and types with the forward radiative transfer module of GRASP, indicating that NSR observations contain information

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Zhang, Yongrui, and Jialin Gao. "Research on Teaching Model of Medical Information Retrieval." MATEC Web of Conferences 227 (2018): 03003. http://dx.doi.org/10.1051/matecconf/201822703003.

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With the advent of the Internet era, traditional teaching forms, teaching methods and teaching concepts have undergone tremendous changes, and the teaching of medical information retrieval courses has also undergone good changes. This paper will explore the new teaching model of medical information retrieval under the Internet era from the teaching modes of PICOS, MOOC, SPOC, etc., in order to change the current status of poor classroom interaction and lack of high-quality teaching resources in college medical information retrieval courses, and improve the teaching quality of medical informati

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P. P., Dr Joby. "Expedient Information Retrieval System for Web Pages Using the Natural Language Modeling." June 2020 2, no. 2 (2020): 100–110. http://dx.doi.org/10.36548/jaicn.2020.2.003.

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Retrieving of information from the huge set of data flowing due to the day to day development in the technologies has become more popular as it assists in searching for the valuable information in a structured, unstructured or a semi structured data set like text, database, multimedia, documents, and internet etc. The retrieval of information is performed employing any one of the models starting from the simple Boolean model for retrieving information, or using other frame works such as probabilistic, vector space and the natural language modelling. The paper is emphasis on using a natural lan

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Miss, Jayshree Dnyandeo Muley1 &. Prof.Harsha R. Vyawahare2. "A HYBRID APPROACH FOR INFORMATION RETRIEVAL USING BIG DATA ANALYTICS." GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES [NC-Rase 18] (November 13, 2018): 171–78. https://doi.org/10.5281/zenodo.1485451.

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Digital world is growing very fast and become more complex in the volume (terabyte to petabyte), variety (structured and un-structured and hybrid), velocity (high speed in growth) in nature. This refers to as ‘Big Data’ that is a global phenomenon. NoSQL databases are better solution for the Big Data demands. Because the users want to analyze this data together, the integration of relational and NoSQL databases becomes necessity. A vast amount of research work has been done in the multimedia area, targeting different aspects of big data analytics, such as the capture, storage, inde

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Cui, De Long, and Jing Long Zuo. "Retrieval Oriented Robust Audio Hashing." Advanced Materials Research 121-122 (June 2010): 854–59. http://dx.doi.org/10.4028/www.scientific.net/amr.121-122.854.

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Aiming at content-based audio retrieval (CBAR) applications, a robust audio hashing scheme is proposed. First the audio is divided to frame by fixed length and then low-frequent and high-frequent components are obtained by three-level lifting-based wavelet transformation in every frame. Secondly the audio frame is approximately represented as a product of a base matrix and an encoding matrix, or coefficient matrix, using non-negative matrix factorization (NMF). Finally the sum of each column in the coefficient matrix is calculated, which is then quantized to produce one bit of the hash sequenc

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Gao, Xue-Yao, Wen-Hui Jia, and Chun-Xiang Zhang. "3D model retrieval based on interactive attention CNN and multiple features." PeerJ Computer Science 9 (February 10, 2023): e1227. http://dx.doi.org/10.7717/peerj-cs.1227.

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3D (three-dimensional) models are widely applied in our daily life, such as mechanical manufacture, games, biochemistry, art, virtual reality, and etc. With the exponential growth of 3D models on web and in model library, there is an increasing need to retrieve the desired model accurately according to freehand sketch. Researchers are focusing on applying machine learning technology to 3D model retrieval. In this article, we combine semantic feature, shape distribution features and gist feature to retrieve 3D model based on interactive attention convolutional neural networks (CNN). The purpose

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