Search Results - ((((food processing) OR (image processing))) OR (((query processing) OR (pre processing))))
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Query translation for multilingual content with semantic technique
Published 2020“…Thus, translation is the key element in the query processing. There are three translation approaches: query, document, or hybrid query-document. …”
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Content based images retrieval (CBIR) by using colour based properties query / Mohd Zuhairi Ghazali
Published 2013“…In pre-processing stage for the proposed CBIR system, features of images data that stored in the image database have been extracted and formed in the features vector and will be stored in feature database.…”
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Imaging concentration profile using laser based tomography
Published 2007“…Images of the flow captured using optical sensors are digitized into a form suitable for computer processing of the flow pictures. …”
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Query Translation for Multilingual Content with Semantic Technique
Published 2024journal::journal article -
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PS+Pre/Post: a novel structure and access mechanism for wireless XML stream supporting twig pattern queries
Published 2014“…However, existing indexing methods cannot process twig pattern XML queries. In this paper, we propose a novel structure for streaming XML data called PS+Pre/Post by integrating the path summary technique and the pre/post labeling scheme. …”
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Information fusion of text and visual features for multi-modality medical information retrieval / Hizmawati Madzin
Published 2013“…Multi-modality Medical Information Retrieval System (M3IRS) text-based framework consists of four main components which are document pre-processor, query processor, retrieval process and ranking strategies. …”
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Colour-Texture Fusion In Image Segmentation For Content-Based Image Retrieval Systems
Published 2007“…Image segmentation is an important pre-processing step which has a great influence on the performance of CBIR systems. …”
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Cassava leaf disease detection system using support vector machine / Nor Atiqah Roslan … [et al.]
Published 2021“…Image processing phases that involved in this project is image acquisition, image pre-processing, segmentation, feature extraction and classification. …”
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Cassava leaf disease detection system using support vector machine / Nor Atiqah Roslan … [et al.]
Published 2021“…Image processing phases that involved in this project is image acquisition, image pre-processing, segmentation, feature extraction and classification. …”
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Classification of human parasitic worm using microscopic image processing technique
Published 2013“…In this strategy, digital image processing methods such as noise reduction, contrast enhancement, and other morphological process are applied to extract the eggs images based on their features. …”
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Deep learning approach with image noise reduction to determine planting density and defected paddy seedlings
Published 2022“…We then continued our study to find the best method for paddy seedlings density classification task. All the pre-trained models showed comparable accuracy with the Base Model when trained to classify a new object with hyperparameter tuning and our proposed image pre-processing which reduces noise and enhanced input images features. …”
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Modelling potential vegetation index for paddy field mapping in Malaysia using satellite imagery
Published 2024“…To minimize the quantity of the image data and enable it to concentrate more on the area of interest, the image also must go through a subset process. …”
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The Design of Pre-Processing Multidimensional Data Based on Component Analysis
Published 2011“…RapidMiner is used for data pre-processing using FastICA algorithm. Kernel K-mean is used to cluster the pre-processed data and Expectation Maximization (EM) is used to model. …”
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Ontology based keyword suggestion for image processing domain
Published 2018“…On the other hand, the proposed system was developed using SPARQL to query the information from image processing ontology. …”
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A model for processing skyline queries in crowd-sourced databases
Published 2018“…Therefore, an efficient approach processing skyline queries with partial incomplete data in crowd-sourcing database is needed. …”
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Architecture for biodiversity image retrieval using ontology and Content Based Image Retrieval (CBIR) / Arpah Abu
Published 2013“…As a result, the size of the images in the training set decreases after the image pre-classification process. …”
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Analysis of SURF and SIFT representations to recognize food objects
Published 2017“…Hence, recognizing food objects using image processing and machine learning techniques has become emerging research topic. …”
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Investigation of evolutionary multi-objective algorithms in solving view selection problem / Seyed Hamid Talebian
Published 2013“…One of the ways for resolving this problem is by using pre-computed results of queries. In this approach, results of possible queries are computed in advance and whenever a user submits a query, instead of referring to the main table with enormous numbers of records, a proper pre-computed result is fetched and used for answering the query. …”
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Efficient NASNetMobile-enhanced Vision Transformer for weakly supervised video anomaly detection
Published 2026“…In addition, current inflated 3D convnet (I3D)- and contrastive language-image pre-training (CLIP)-based models exhibit substantial processing demands and require supplementary training data. …”
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Semantic-based image retrieval for multi-word text queries
Published 2015Subjects: “…Image processing…”
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