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Construction and Demolition Waste: Challenges and Opportunities
| Construction and Demolition Waste: Challenges and Opportunities |
| Autore | Maury-Ramirez Anibal C |
| Descrizione fisica | 1 online resource (202 p.) |
| Soggetto topico |
Conservation of buildings and building materials
History of engineering and technology Technology: general issues |
| Soggetto non controllato |
aggregates
alkali-activated materials binder building C& carbonation circular economy compressive strength concrete construction construction and demolition waste construction and demolition waste (C&DW) construction and demolition wastes demolition waste DW green deal interview life cycle assessment local authorities management material stock analysis mechanical properties multi-criteria decision-making municipal solid waste incineration bottom ash pavement paving stones quantification re-use recycled aggregate concrete recycled aggregates recycled concrete recycled concrete aggregate recycling residual mortar reusing supplementary cementitious material sustainability urban metabolism waste management workability |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Construction and Demolition Waste |
| Record Nr. | UNINA-9910595080203321 |
Maury-Ramirez Anibal C
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| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Entropy in Image Analysis / Amelia Carolina Sparavigna
| Entropy in Image Analysis / Amelia Carolina Sparavigna |
| Autore | Sparavigna Amelia Carolina |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (456 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
keyframes
time-delay whale optimization algorithm multilevel thresholding multi-exposure image fusion additive manufacturing patch structure decomposition ultra-sound images 3D scanning Arimoto entropy contrast enhancement spatial filling factor depth maps image processing 3D prints differential evolution field of experts normalized divergence measure image privacy multiscale top-hat transform q-exponential texture information entropy diffusion hybrid algorithm Weibull statistics adaptive selection nonextensive entropy computer aided diagnostics fatty liver random forest DNA encoding low contrast entropy Minkowski island fuzzy entropy free-form deformations person re-identification chaotic system DNA computing pavement information entropy discrete entropy Tsallis statistics video skimming prime-indexed primes natural scene statistics (NSS) Hénon map q-sigmoid image entropy Shannon entropy macrotexture Shannon’s entropy binary image multi-feature fusion image analysis uncertainty assessment non-rigid registration hash layer Cantor set dynamic filtering deep neural network security analysis multiple-image encryption Hamming distance blind image quality assessment (BIQA) q-Gaussian remote sensing decay trend chaotic cryptography chaotic strategy cross-entropy loss random insertion metabolic syndrome sign languages generalized entropies relevance feedback image retrieval two-dimensional chaotic economic map cryptanalysis infrared images 3D Latin cube SHA-256 hash value gradient distributions structural entropy discrete cosine transform (DCT) chaotic map hepatic steatosis machine vision electromagnetic field optimization security image segmentation quantization loss colonoscopy video summarization permutation Kapur’s entropy surface quality assessment permutation-diffusion Ramanujan primes Rényi entropies chosen-plaintext attack image encryption dynamic index color image segmentation ultrasound Otsu method sigmoid reconstruction image information entropy 3-D digital imaging positron emission tomography medical imaging |
| ISBN |
9783039210930
3039210939 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346845003321 |
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Sparavigna Amelia Carolina
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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