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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 online resource (386 p.) |
| Soggetto topico |
Computer science
Information technology industries |
| Soggetto non controllato |
action recognition
active ageing affine motion compensation ambient assisted living artificial intelligence atmospheric-light estimation attention automatic cell segmentation balanced sampling bi-histogram equalization bilingual scene text reading block-based coding BOF CIELab classification classification accuracy coal coarse-to-fine search strategy coke component Substitution compressed sensing contrast ratio convolution neural network (CNN) convolutional neural network convolutional neural networks cyclical learning rates dark channel deep learning deep transfer learning dental application details preservation detection DPCNN Ethiopic script feature extraction fine-tuning frame Gene Expression Programming (GEP) gradient H.265/HEVC handwritten digit recognition haze removal historical document analysis homography matrix identification IKONOS image analysis image fusion image preclassification image processing image quality image registration images inertinite macerals intensity correction iron ore label smoothing learning rate scheduler local dimming local homography transformation magnitude motion moving direct linear transformation multi-scale sampling multifractal analysis n/a nasal cytology neural networks numeral spotting object detection octave convolution optical Pan sharpening pansharpening parseval frame plant recognition Pléiades VHR Image reactivity remote sensing retinex theory RGB-D rhinology RIP saliency salient object detection Satellite Pour l'Observation de la Terre (SPOT) 6 segmentation shape context shape features silhouette sequences sinter small object sparse dictionary sparse representation spatial consistency spectral consistency spectrum correction stable recovery structure super-resolution (SR) support vector machine suspicious behavior detection synthesis texture tradeoff process transform video coding |
| 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 / Hiroshi Sakagami
| Biological Efficacy of Natural and Chemically Modified Products against Oral Inflammatory Lesions / Hiroshi Sakagami |
| Autore | Sakagami Hiroshi |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (212 p.) |
| Soggetto topico | Medicine and Nursing |
| 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 |
9783038979937
3038979937 |
| 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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