Advanced Machine Learning Applications in Big Data Analytics
| Advanced Machine Learning Applications in Big Data Analytics |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2023 |
| Descrizione fisica | 1 online resource (654 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
1D quadratic chaotic system
adaptive learning adversarial attacks ARMA attentional mechanisms BaaS system bagging model behavior detection blockchain consensus algorithm border patrol BP butterfly optimization algorithm capacitated vehicle routing planning CBAM CBCFI classification algorithms cloud clustering algorithms CNN color image combined prediction model community clustering complementary ensemble empirical mode decomposition (CEEMD) composite multi-scale dispersion entropy computer vision concept drift confidentiality management convolutional neural networks coupled map lattice COVID-19 crisscross search data stream mining deep belief network deep feature deep learning design science research differential evolution digital archives disease classification DNA coding DNA computing DNA sequences design document classification dual-update strategy ELM embedding propagation emotion-cause pair extraction energy storage error coefficient event extraction event trigger words event type extreme learning machine fault diagnosis feature selection financial time series forecasting flight safety forecasting forex GA generative adversarial network global optimization GM graph attention network graph convolutional network graph neural network gravity search hash function health Hemerocallis citrina Baroni heterogeneous graph hierarchical clustering hierarchical model high-plateau flight hybrid model hyperspectral image classification image classification image encryption improved matrix particle swarm optimization algorithm (IMPSO) incremental learning information system information systems infrared Jaccard distance KNN least squares method lightweight neural networks long short-term memory network machine learning maturity detection mean absolute error mean-semivariance model membership grade meta-heuristic model predictive control multi-behavior recommendation multi-strategy MultiRocket n/a neural architecture search neural networks NLP object detection online learning opposition-based learning output optimization overseas Chinese associations particle swarm optimization peak shaving and frequency regulation performance analysis pilot abnormal behavior pixel level polymorphic mapping portfolio optimization principal component analysis PROPHET PSO quantum dynamics quick access recorder random replacement ridge regression saving mileage sequential recommendation service level agreement short-term traffic-flow forecasting signal-to-noise ratio distance sliding window spatial-temporal systems splicing model stacking model stock announcement news stock return support vector machine support vector machine swarm intelligence support vector machines swarm intelligence talent stability prediction target detection time series time series classification tomato leaf traffic flow forecasting transaction priority variational mode decomposition warning system whale optimization algorithm YOLOv4 algorithm YOLOv5 algorithm |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910743276603321 |
| MDPI - Multidisciplinary Digital Publishing Institute, 2023 | ||
| Lo trovi qui: Univ. Federico II | ||
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Challenges and Opportunities in Applied System Innovation
| Challenges and Opportunities in Applied System Innovation |
| Autore | Douligeris Christos |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (230 p.) |
| Soggetto topico |
Environmental science, engineering and technology
Technology: general issues |
| Soggetto non controllato |
6GCIoHE theoretical framework
6GIIoE applications 6GIIoE challenges 6GIIoE priorities 6GIIoE theoretical framework artificial and human intelligence artificial intelligence assembly automotive industry applications bridge change management circular building circular economy circular resource flows civil engineering classification clustering cognitive data intelligence cognitive healthcare cognitive load cognitive manufacturing common welfare concurrent engineering construction construction engineering COVID-19 data science decision-support model design strategies digital model digital twin digitization electric power industry employee motivation employee satisfaction expansion joint health management health-saving strategies human resources human-computer interaction implementation strategies Industry 4.0 information system joint gap labor productivity line-scan camera machine learning machine vision manufacturing industry applications predictive analytics predictive maintenance process planning systems quality of life risks and risk management security sensor sequential methodology smart bridge maintenance equipment socio-political assessment software tool statistical data processing structural health monitoring sustainable development system optimization tiny machine learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910580215303321 |
Douligeris Christos
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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Geographic Information Science (GIScience) and Geospatial Approaches for the Analysis of Historical Visual Sources and Cartographic Material
| Geographic Information Science (GIScience) and Geospatial Approaches for the Analysis of Historical Visual Sources and Cartographic Material |
| Autore | Zohar Motti |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (158 p.) |
| Soggetto topico |
Geography
Research & information: general |
| Soggetto non controllato |
agriculture
anthropogenic landforms Bethlehem carbon balance cartography Central Europe coastlines contour lines Ein Karem fishnet Genoa Geographic Information System (GIS) geolocation geospatial descriptors GIS GIS tools GIScience graph embeddings grid Hebron HGIS historical geography historical GIS historical maps historical visual sources indexing and retrieval of historical data information system Inoh's map land use land use/land cover (LULC) landscapes old maps olive groves photographs rural landscape spatial approaches terrain topographic accessibility total environment uncertainty urban geomorphology urban morphology vineyards visibility visual sources Vltava River |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Geographic Information Science |
| Record Nr. | UNINA-9910576882603321 |
Zohar Motti
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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Stratégies de Publication Scientifique
| Stratégies de Publication Scientifique |
| Autore | Volland-Nail Patricia |
| Pubbl/distr/stampa | éditions Quae, 2013 |
| Descrizione fisica | 1 online resource (274 pages) |
| Collana | Hors Collection |
| Soggetto topico | Publishing industry & book trade |
| Soggetto non controllato |
information system
technology learning |
| ISBN |
9782759220038
2759220036 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | fre |
| Nota di contenuto |
Intro -- Table des matières -- Stratégies de publication scientifique -- L'auteur -- Remerciements -- Introduction -- Chapitre 1 - Pourquoi publier ? -- Pourquoi communiquer et publier les résultats de la recherche ? -- Quel contexte pour la communication des résultats de la recherche ? -- Chapitre 2 - Que publier ? -- Élaborer une hypothèse pour obtenir des résultats publiables -- Qu'est-ce qui est publiable ? -- Comment obtenir des résultats publiables ? -- Combien d'articles publier ? -- Chapitre 3 - Quand publier ? -- Le bon moment pour publier -- Veiller et être vigilant pour évaluer le bon moment pour publier -- Chapitre 4 - Comment publier dans le respect des règles de l'éthique des publications ? -- La notion d'éthique en recherche -- Les règles de l'éthique des publications -- Pour en savoir plus -- Chapitre 5 - Avec qui publier ? Qui est auteur d'un article scientifique ? -- Qui peut revendiquer être auteur d'un article scientifique ? -- Les remerciements -- Qui choisit les auteurs ? Quand ? -- Ordre des noms des auteurs -- Droits et devoirs des auteurs -- Les noms des auteurs -- La question de l'affiliation : l'adresse des auteurs -- Pour en savoir plus -- Chapitre 6 - Sous quelle forme publier ? - Les différents types d'articles et documents scientifiques -- Le transfert de l'information scientifique et technique -- L'article de recherche (scientific paper, regular paper, original article, full paper, primary article, etc.) -- Le brevet d'invention -- Les communications à un congrès, colloque ou séminaire scientifique -- La thèse -- Les articles et documents participant à la diffusion des connaissances scientifiques -- Conclusion -- Chapitre 7 - Où publier un article de recherche ? - Le choix du périodique de publication -- Les critères de choix d'un périodique -- Publier l'article dans le périodique choisi.
Chapitre 8 - Construire et rédiger l'article de recherche -- Lire les consignes aux auteurs des périodiques -- Les différentes étapes de la construction de l'article -- Les différentes parties de l'article : leur rôle et leur contenu -- Les points-clés : titre et résumé, tableaux et figures -- Les conventions à respecter : quelques rappels -- Le style scientifique -- Conclusion -- Bibliographie -- Liste d'ouvrages conseillés sur la rédaction scientifique -- Guides en ligne -- Guides diffusés par les éditeurs scientifiques généralistes commerciaux -- Wébographie. |
| Record Nr. | UNINA-9910350202903321 |
Volland-Nail Patricia
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| éditions Quae, 2013 | ||
| Lo trovi qui: Univ. Federico II | ||
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