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1. |
Record Nr. |
UNINA9910307457003321 |
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Autore |
Lamarck, Jean Baptiste Pierre Antoine : de Monet de |
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Titolo |
Flore française ou Descriptions succinctes de toutes les plantes qui croissent naturellement en France, disposées selon une nouvelle méthode d'analyse, et précedées par un exposé des principes élémentaires de la botanique ... Par mm. de Lamarck et de Candolle ... Tome premier [-cinquième, ou sixième volume] |
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Pubbl/distr/stampa |
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A Paris, : du fonds de H. Agasse, : chez Desray, libraire, rue Hautefeuille, n° 4, près celle Saint-André-des-Arcs, 1815 |
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Edizione |
[Troisième édition, augmentée du tome V, ou sixième volume, contenant 1300 espèces non décrites dans les cinq premiers volumes] |
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Descrizione fisica |
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Altri autori (Persone) |
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Candolle, Augustin-Pyrame : De |
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Locazione |
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Collocazione |
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B V 22 |
D I 44 |
D I 45 |
D I 46 |
D I 47 |
D I 48 |
D I 49 |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Indicazione di ed. in area 1. nei vv. 1-4; assente nel v. 5 |
V. 4 diviso in due parti con paginazione continua |
V. 5 opera del solo Augustin Pyrame de Candolle |
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2. |
Record Nr. |
UNINA9910484346003321 |
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Titolo |
Advances in Computational and Bio-Engineering : Proceeding of the International Conference on Computational and Bio Engineering, 2019, Volume 1 / / edited by S. Jyothi, D. M. Mamatha, Suresh Chandra Satapathy, K. Srujan Raju, Margarita N. Favorskaya |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (X, 667 p. 273 illus., 194 illus. in color.) |
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Collana |
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Learning and Analytics in Intelligent Systems, , 2662-3455 ; ; 15 |
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Disciplina |
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Soggetti |
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Biomathematics |
Computational intelligence |
Biomedical engineering |
Engineering mathematics |
Mathematical and Computational Biology |
Computational Intelligence |
Biomedical Engineering and Bioengineering |
Engineering Mathematics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Chapter 1: Sequential Pattern Mining for U.S. presidential elections using Google Cloud Platform (GCP) -- Chapter 2: An evolutionary optimization methodology for analysing breast canr gene sequens using MSAPSO and MSADE -- Chapter 3: Performing Image Compression and Decompression Using Matrix Substitution Technique -- Chapter 4: Classification of Cotton Crop Pests using Big Data Analytics -- Chapter 5: Effect Of Formulation Variables on Optimization of Gastroretentive in Situ Rafts of Bosentan Monohydrate HCL by 32 Factorial Design -- Chapter 6: Performan Analysis of Apache Spark ML lib Clustering on Batch Data Stored in Cassandra -- Chapter 7: A study on Opinion of B.Sc Nursing studentson Health Informatics and EMR to included in Nursing Education -- Chapter 8: A Comprehensive Hybrid Ensemble Method with Feature Selection Techniques -- Chapter 9: DNA |
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based Quick Response (QR) code for Screening of Potential Parents for Evolving new Silkworm Ras ofhigh Productivity -- Chapter 10: Big Data Analysis for Land Use Classification Using Machine Learning Algorithms. |
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Sommario/riassunto |
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This book gathers state-of-the-art research in computational engineering and bioengineering to facilitate knowledge exchange between various scientific communities. Computational engineering (CE) is a relatively new discipline that addresses the development and application of computational models and simulations often coupled with high-performance computing to solve complex physical problems arising in engineering analysis and design in the context of natural phenomena. Bioengineering (BE) is an important aspect of computational biology, which aims to develop and use efficient algorithms, data structures, and visualization and communication tools to model biological systems. Today, engineering approaches are essential for biologists, enabling them to analyse complex physiological processes, as well as for the pharmaceutical industry to support drug discovery and development programmes. |
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