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Advances in Image Processing, Analysis and Recognition Technology
| Advances in Image Processing, Analysis and Recognition Technology |
| Autore | Frejlichowski Dariusz |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (386 p.) |
| Soggetto topico |
Information technology industries
Computer science |
| Soggetto non controllato |
CIELab
component Substitution Pan sharpening Pléiades VHR Image coal inertinite macerals classification multifractal analysis support vector machine block-based coding video coding H.265/HEVC affine motion compensation image registration homography matrix local homography transformation convolutional neural network moving direct linear transformation super-resolution (SR) convolution neural network (CNN) Gene Expression Programming (GEP) deep learning image preclassification suspicious behavior detection motion magnitude gradient reactivity saliency haze removal dark channel atmospheric-light estimation coarse-to-fine search strategy sparse dictionary stable recovery frame RIP local dimming retinex theory bi-histogram equalization contrast ratio details preservation pansharpening image fusion image quality Satellite Pour l'Observation de la Terre (SPOT) 6 spectral consistency spatial consistency synthesis artificial intelligence dental application images detection parseval frame transform sparse representation octave convolution bilingual scene text reading Ethiopic script attention nasal cytology automatic cell segmentation rhinology image analysis feature extraction shape context plant recognition DPCNN BOF numeral spotting historical document analysis convolutional neural networks deep transfer learning handwritten digit recognition spectrum correction intensity correction compressed sensing tradeoff process IKONOS remote sensing fine-tuning learning rate scheduler cyclical learning rates label smoothing classification accuracy neural networks salient object detection RGB-D object detection small object multi-scale sampling balanced sampling texture structure optical coke iron ore sinter image processing segmentation identification action recognition silhouette sequences shape features ambient assisted living active ageing |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576879103321 |
Frejlichowski Dariusz
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Biological Efficacy of Natural and Chemically Modified Products against Oral Inflammatory Lesions
| Biological Efficacy of Natural and Chemically Modified Products against Oral Inflammatory Lesions |
| Autore | Sakagami Hiroshi |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (212 p.) |
| Soggetto non controllato |
gargle
oral lichen planus angiotensin II blocker quantitative structure-activity relationship metabolomics CCN2 anti-human immunodeficiency virus (HIV) oral cell arachidonic acid cascade Kampo medicine lignin-carbohydrate complex traditional medicine eugenol QSAR analysis constituent plant extract polyphenol benzaldehyde glucosyltransferase infective endocarditis antiviral periodontitis nutritionally variant streptococci Kampo quantitative structure-activity relationship (QSAR) analysis traditional Japanese herbal medicine technical terms allergic rhinitis nasal epithelial cell antimicrobial susceptibilities alkaline extract mastic stomatitis thioredoxin production oral microbiota Jixueteng oral inflammation random forest mice chromone natural products Chinese herbal remedies inflammation quercetin in vivo kampo formula glucocorticoids Hangeshashinto recurrent aphthous stomatitis anti-osteoclast activity cytotoxicity dental application tongue diagnosis natural product alkaloids inflammatory disease pathogenic factors increase machine learning human virus cepharanthin mucositis oral diseases Juzentaihoto in vitro herbal medicine tumour-specificity |
| ISBN | 3-03897-993-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346850803321 |
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Sakagami Hiroshi
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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