Advances in Sustainable Concrete System
| Advances in Sustainable Concrete System |
| Autore | Ling Yifeng |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (408 p.) |
| Soggetto topico |
Conservation of buildings and building materials
History of engineering and technology Technology: general issues |
| Soggetto non controllato |
acoustic emission
adhesively-bonded joint AE rate process theory age alkali-activated material artificial intelligence artificial neural networks axial load bagasse ash bamboo beam-column joint bending resistance bentonite-free drilling fluid bio-based material blast furnace ferronickel slag brittleness evaluation index cement content cementitious gravel coal gangue compound activator compressive strength concrete concrete composites concrete damage constitutive model corrosion rate crack crack depth crack width cracked concrete crumb rubber crumb rubber concrete damage evolution damage mechanism damage variable data science detergent treatment dosage of activator durability eco-friendly concrete elastic strain energy energy evolution failure criterion FE modeling FE modelling fiber-reinforced concrete filtration fly ash freeze-thaw cycle fresh properties FRP reinforced concrete slab GM (0, N) model gradation green concrete GSP high strength high temperature high-strength concrete humidity hydration hydration mechanisms lattice girder semi-precast slabs lime treatment limestone machine learning materials materials design mechanical behavior mechanical properties mechanical property microstructure minimum energy dissipation principle moisture absorption moisture desorption mortar strength multiple linear regression n/a NaOH treatment natural coarse aggregate numerical simulation optimal dosage orthogonal experiment penetrability phosphorus slag precast concrete structure pretreatment punching shear strength reactive powder concrete recycled coarse aggregate recycled concrete residual strength rheology rice husk ash sawdust self-compacting concrete SHAP silica fume steel slag powder strength sulfate and acid attacks sulphate-corrosion resistance supplementary cementitious materials sustainability sustainable concrete sustainable development synthetic polymer temperature aging three-shear energy yield criterion tortuosity two-stage concrete ultrafine metakaolin unconfined compressive strength uniaxial tension volume deformation water treatment WPFT fibers |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910580211903321 |
Ling Yifeng
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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Assessment of Socio-Economic Sustainability and Resilience after COVID-19
| Assessment of Socio-Economic Sustainability and Resilience after COVID-19 |
| Autore | D'Adamo Idiano |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (493 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
adoption willingness of IoT traceability technology
agrivoltaic system agronomic management air pollution air quality America Latina Asia Pacific best-worst method bioenergy biogas biomethane business case studies change China circular economy circular network climate change CO2 emission competences consumers' awareness COVID-19 Covid-19 outbreak COVID-19 pandemic crisis crop production customer-supplier relationship cyber-security cybersecurity data science DEA demand shock digital transformation digitalization digitization distance learning dominant design e-commerce econometric modeling economic burden economic sustainability efficiency measurement electric vehicle emerging cities emission level environmental sustainability EU Europe external capital financialization food system Food-Energy-Water nexus fuzzy best-worst method gas supply decarbonization grey DEMATEL gross domestic product health effects higher education hypothetical extraction method incentives infectious disease infrastructure innovation innovation ecosystem innovation strategy input-output model IT disruptions Latent Moderate Structural Equations levelized cost local community methodology mobility choice multi-criteria decision making multi-domain resilience n/a natural gas grid pandemic perception analysis pig farmers reflexive governance renewable energy resilience resilience decisions resilience of city resilient supply chains sectoral linkage small and medium-sized enterprises small- and medium-sized enterprises social sustainability socio-economic sustainability solar photovoltaics strategic agility strategic resilience supply chain collaboration supply chain resilience sustainability sustainability strategy sustainable development goals sustainable electricity production sustainable integration sustainable operations TFP the Asian region Unified Theory of Acceptance and Use of Technology urban planning urban resilience warehouse logistics women's leadership |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557349103321 |
D'Adamo Idiano
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| 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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Child Obesity and Nutrition Promotion Intervention
| Child Obesity and Nutrition Promotion Intervention |
| Autore | Rito Ana Isabel |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (319 p.) |
| Soggetto topico |
Biology, life sciences
Food & society Research & information: general |
| Soggetto non controllato |
adolescent girls
adolescents advertising allergic rhinitis allergy asthma availability and accessibility Black/African American BMI canteen child childhood obesity childhood overweight children cluster randomised controlled trial community community-based program cooking data science deep learning diet dietary habit dietary habits dietary intakes Eastern Mediterranean Region eating behavior energy balance-related behaviors family family environment fish food acceptance food and nutrition food availability food consumption patterns food environment food intake food neophobia fruit gamification health health behavior health intervention health promotion healthy diet healthy eating healthy lifestyle intervention Hispanic home implementation intervention intervention effects intervention mapping Japan machine learning macronutrients mental health micronutrients minority multicomponent intervention MVPA noncommunicable diseases nutrition nutrition promotion nutritional status obesity overweight overweight and obesity parent-child dyads parental educational level parental role modelling parents preschool children preschoolers prevention promotion programs pulmonary function purchase behaviour qualitative randomized controlled trial review risk salt intake school school children school meals school-based intervention schools screening self-efficacy self-regulation skills serious game sodium consumption soft drinks statistical models stress surveillance tactile play tool vegetable consumption vegetables willingness to taste |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557338503321 |
Rito Ana Isabel
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational Methods for Medical and Cyber Security
| Computational Methods for Medical and Cyber Security |
| Autore | Luo Suhuai |
| Pubbl/distr/stampa | Basel, : MDPI Books, 2022 |
| Descrizione fisica | 1 electronic resource (228 p.) |
| Soggetto non controllato |
fintech
financial technology blockchain deep learning regtech environment social sciences machine learning learning analytics student field forecasting imbalanced datasets explainable machine learning intelligent tutoring system adversarial machine learning transfer learning cognitive bias stock market behavioural finance investor’s profile Teheran Stock Exchange unsupervised learning clustering big data frameworks fault tolerance stream processing systems distributed frameworks Spark Hadoop Storm Samza Flink comparative analysis a survey data science educational data mining supervised learning secondary education academic performance text-to-SQL natural language processing database machine translation medical image segmentation convolutional neural networks SE block U-net DeepLabV3plus cyber-security medical services cyber-attacks data communication distributed ledger identity management RAFT HL7 electronic health record Hyperledger Composer cybersecurity password security browser security social media ANOVA SPSS internet of things cloud computing computational models metaheuristics phishing detection website phishing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910595066903321 |
Luo Suhuai
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| Basel, : MDPI Books, 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational Methods for Risk Management in Economics and Finance
| Computational Methods for Risk Management in Economics and Finance |
| Autore | Resta Marina |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (234 p.) |
| Soggetto non controllato |
admissible convex risk measures
auto-regressive Big Data capital allocation capital market pricing model cartography conditional Value-at-Risk (CoVaR) convex programming copula models CoVaR credit risk current drawdown data science deep learning efficient frontier estimation error financial markets financial mathematics financial regulation fractional Kelly allocation growth optimal portfolio independence assumption International Financial Reporting Standard 9 loss given default Markowitz portfolio theory multi-step ahead forecasts non-stationarity ordered probit portfolio theory quantile regression quantitative risk management random matrices risk measure risk-based portfolios shrinkage stock prices structural models systemic risk systemic risk measures target matrix utility functions value at risk weighted logistic regression Wishart model |
| ISBN | 3-03928-499-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404091803321 |
Resta Marina
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Lo trovi qui: Univ. Federico II | ||
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Data mining for the social sciences : an introduction / / Paul Attewell and David B. Monaghan
| Data mining for the social sciences : an introduction / / Paul Attewell and David B. Monaghan |
| Autore | Attewell Paul A. <1949-> |
| Pubbl/distr/stampa | Oakland, California : , : University of California Press, , 2015 |
| Descrizione fisica | 1 online resource (265 p.) |
| Disciplina | 006.3/12 |
| Soggetto topico |
Social sciences - Data processing
Social sciences - Statistical methods Data mining |
| Soggetto non controllato |
analyzing data
bayesian networks big data bootstrapping business analytics chaid classification and regression trees classification trees confusion matrix data analysis data mining data processing data scholarship data science hardware for data mining heteroscedasticity naive bayes partition trees permutation tests scholarly data social science social scientists software for data mining statistical methods statistical modeling studying data text mining vif regression weka |
| ISBN |
0-520-28098-9
0-520-96059-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Front matter -- CONTENTS -- ACKNOWLEDGMENTS -- 1. WHAT IS DATA MINING? -- 2. CONTRASTS WITH THE CONVENTIONAL STATISTICAL APPROACH -- 3. SOME GENERAL STRATEGIES USED IN DATA MINING -- 4. IMPORTANT STAGES IN A DATA MINING PROJECT -- 5. PREPARING TRAINING AND TEST DATASETS -- 6. VARIABLE SELECTION TOOLS -- 7. CREATING NEW VARIABLES -- 8. EXTRACTING VARIABLES -- 9. CLASSIFIERS -- 10. CLASSIFICATION TREES -- 11. NEURAL NETWORKS -- 12. CLUSTERING -- 13. LATENT CLASS ANALYSIS AND MIXTURE MODELS -- 14. ASSOCIATION RULES -- CONCLUSION. Where Next? -- BIBLIOGRAPHY -- NOTES -- INDEX |
| Record Nr. | UNINA-9910788152303321 |
Attewell Paul A. <1949->
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| Oakland, California : , : University of California Press, , 2015 | ||
| Lo trovi qui: Univ. Federico II | ||
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Data mining for the social sciences : an introduction / / Paul Attewell and David B. Monaghan
| Data mining for the social sciences : an introduction / / Paul Attewell and David B. Monaghan |
| Autore | Attewell Paul A. <1949-> |
| Pubbl/distr/stampa | Oakland, California : , : University of California Press, , 2015 |
| Descrizione fisica | 1 online resource (265 p.) |
| Disciplina | 006.3/12 |
| Soggetto topico |
Social sciences - Data processing
Social sciences - Statistical methods Data mining |
| Soggetto non controllato |
analyzing data
bayesian networks big data bootstrapping business analytics chaid classification and regression trees classification trees confusion matrix data analysis data mining data processing data scholarship data science hardware for data mining heteroscedasticity naive bayes partition trees permutation tests scholarly data social science social scientists software for data mining statistical methods statistical modeling studying data text mining vif regression weka |
| ISBN |
0-520-28098-9
0-520-96059-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Front matter -- CONTENTS -- ACKNOWLEDGMENTS -- 1. WHAT IS DATA MINING? -- 2. CONTRASTS WITH THE CONVENTIONAL STATISTICAL APPROACH -- 3. SOME GENERAL STRATEGIES USED IN DATA MINING -- 4. IMPORTANT STAGES IN A DATA MINING PROJECT -- 5. PREPARING TRAINING AND TEST DATASETS -- 6. VARIABLE SELECTION TOOLS -- 7. CREATING NEW VARIABLES -- 8. EXTRACTING VARIABLES -- 9. CLASSIFIERS -- 10. CLASSIFICATION TREES -- 11. NEURAL NETWORKS -- 12. CLUSTERING -- 13. LATENT CLASS ANALYSIS AND MIXTURE MODELS -- 14. ASSOCIATION RULES -- CONCLUSION. Where Next? -- BIBLIOGRAPHY -- NOTES -- INDEX |
| Record Nr. | UNINA-9910814373503321 |
Attewell Paul A. <1949->
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| Oakland, California : , : University of California Press, , 2015 | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Science and Knowledge Discovery
| Data Science and Knowledge Discovery |
| Autore | Portela Filipe |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (254 p.) |
| Soggetto topico |
Computer science
Information technology industries |
| Soggetto non controllato |
activity recognition
adaptation process ArcGIS artificial intelligence attribution authorship automation big data Big Data box-counting framework chatbots classification content base image retrieval COVID-19 crisis reporting customer relationship management (CRM) dashboard data analysis data analytics data augmentation data mining data science databases decision systems deep features deep learning digital humanities digital infrastructures distracted driving driving behavior driving operation area e-commerce economic determinants of open data ESP32 microcontroller feature extraction forensic intelligence fractal dimension geoinformation technology governance and social institutions humanities ICT information systems interdisciplinary research internet of things ioCOVID19 journalists linked open data LoRaWAN machine learning media analytics media criticism multimedia document retrieval n/a neural networks news media open government data prediction by partial matching public health rough sets rule based systems SARS-CoV-2 script Python semantic information retrieval smart homes social sciences spatio-temporal territorial road network text mining textbook research The Things Network Web Intelligence WebGIS |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576878103321 |
Portela Filipe
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Science in Healthcare
| Data Science in Healthcare |
| Autore | Hulsen Tim |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (212 p.) |
| Soggetto topico |
Medicine and Nursing
Pharmacology |
| Soggetto non controllato |
apache spark
Arabic language arteriovenous fistula artificial intelligence big data breast cancer diagnosis case fatality rate chronic kidney disease (CKD) computed tomography coronavirus COVID-19 cross-validation data exploratory techniques data management data science data sharing depression dialysis digital technology distributed computing early-warning model end stage kidney disease end-stage kidney disease (ESKD) genetic algorithm hand-foot-and-mouth disease healthcare kidney failure kidney replacement therapy (KRT) machine learning machine learning models mental health metabolic syndrome metabolically healthy obese phenotype n/a naïve Bayes classifiers neural network non-specialist health worker obesity outbreak prediction pilot study pneumonia precision medicine primary care psychological treatment risk prediction SARS-CoV-2 sentinel surveillance system smart cities smart governance smart healthcare smoking social distancing social media task sharing thoracic pain training tree classification Triple Bottom Line (TBL) tumors classification vascular access surveillance |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576885103321 |
Hulsen Tim
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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