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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 electronic resource (408 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology Conservation of buildings & building materials |
| Soggetto non controllato |
high-strength concrete
energy evolution elastic strain energy brittleness evaluation index concrete humidity moisture absorption moisture desorption numerical simulation acoustic emission AE rate process theory corrosion rate damage evolution axial load precast concrete structure lattice girder semi-precast slabs bending resistance FE modelling concrete damage GSP high strength hydration strength penetrability rice husk ash sustainable concrete artificial neural networks multiple linear regression eco-friendly concrete green concrete sustainable development artificial intelligence data science machine learning bagasse ash mechanical properties natural coarse aggregate recycled coarse aggregate two-stage concrete materials design recycled concrete crumb rubber concrete crumb rubber NaOH treatment lime treatment water treatment detergent treatment compressive strength materials adhesively-bonded joint temperature aging residual strength mechanical behavior failure criterion steel slag powder compound activator mortar strength orthogonal experiment GM (0, N) model ultrafine metakaolin silica fume durability fiber-reinforced concrete damage mechanism uniaxial tension cracked concrete crack width crack depth tortuosity sustainability concrete composites sulfate and acid attacks WPFT fibers coal gangue gradation cement content unconfined compressive strength freeze-thaw cycle minimum energy dissipation principle three-shear energy yield criterion damage variable constitutive model phosphorus slag limestone sulphate-corrosion resistance volume deformation blast furnace ferronickel slag alkali-activated material dosage of activator reactive powder concrete beam-column joint FE modeling crack cementitious gravel fly ash age optimal dosage bamboo sawdust pretreatment bio-based material mechanical property self-compacting concrete supplementary cementitious materials hydration mechanisms microstructure fresh properties synthetic polymer high temperature bentonite-free drilling fluid rheology filtration FRP reinforced concrete slab punching shear strength SHAP |
| 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 | ||
| Materiale a stampa | ||
| 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 electronic resource (493 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
mobility choice
COVID-19 best-worst method multi-criteria decision making air pollution air quality health effects economic burden food system circular economy sustainability EU COVID-19 pandemic local community perception analysis econometric modeling data science reflexive governance climate change infrastructure urban resilience social sustainability economic sustainability environmental sustainability China business innovation ecosystem innovation strategy electric vehicle dominant design crisis pandemic higher education digitalization distance learning Covid-19 outbreak resilience strategic resilience multi-domain resilience strategic agility change sustainability strategy financialization TFP innovation resilience of city infectious disease urban planning supply chain resilience IT disruptions efficiency measurement warehouse logistics DEA resilient supply chains external capital customer-supplier relationship circular network cyber-security e-commerce Europe supply chain collaboration small- and medium-sized enterprises grey DEMATEL fuzzy best-worst method agrivoltaic system solar photovoltaics agronomic management crop production Food-Energy-Water nexus sustainable integration women's leadership America Latina small and medium-sized enterprises renewable energy sustainable electricity production socio-economic sustainability sustainable development goals emission level levelized cost gross domestic product pig farmers adoption willingness of IoT traceability technology Unified Theory of Acceptance and Use of Technology Latent Moderate Structural Equations biomethane natural gas grid bioenergy biogas gas supply decarbonization incentives competences digitization digital transformation Asia Pacific CO2 emission demand shock hypothetical extraction method input-output model sectoral linkage emerging cities sustainable operations case studies the Asian region resilience decisions cybersecurity consumers' awareness methodology |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557349103321 |
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D'Adamo Idiano
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| 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 electronic resource (230 p.) |
| Soggetto topico |
Technology: general issues
Environmental science, engineering & technology |
| Soggetto non controllato |
Industry 4.0
cognitive manufacturing cognitive load human–computer interaction 6GIIoE priorities 6GIIoE challenges 6GIIoE applications information system sequential methodology 6GIIoE theoretical framework circular economy circular building implementation strategies design strategies circular resource flows digital twin digital model system optimization predictive maintenance artificial and human intelligence security risks and risk management quality of life common welfare socio-political assessment assembly process planning systems concurrent engineering automotive industry applications manufacturing industry applications artificial intelligence sustainable development construction civil engineering machine learning construction engineering cognitive data intelligence cognitive healthcare tiny machine learning 6GCIoHE theoretical framework data science statistical data processing predictive analytics classification clustering labor productivity health management health-saving strategies electric power industry bridge expansion joint joint gap smart bridge maintenance equipment sensor structural health monitoring line-scan camera machine vision change management COVID-19 decision-support model digitization employee motivation employee satisfaction human resources software tool |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910580215303321 |
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Douligeris Christos
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| 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 electronic resource (319 p.) |
| Soggetto topico |
Research & information: general
Biology, life sciences Food & society |
| Soggetto non controllato |
serious game
gamification eating behavior food neophobia willingness to taste nutritional status obesity dietary habits allergy pulmonary function allergic rhinitis asthma dietary habit vegetable consumption food intake preschool children Japan nutrition stress mental health family health behavior childhood obesity health intervention healthy lifestyle intervention school-based intervention MVPA overweight and obesity self-efficacy adolescent girls parent–child dyads food availability advertising healthy diet promotion programs community-based program school meals salt intake sodium consumption schools canteen adolescents implementation purchase behaviour overweight machine learning deep learning statistical models data science BMI child surveillance health noncommunicable diseases children fruit vegetables soft drinks energy balance-related behaviors self-regulation skills preschoolers randomized controlled trial intervention effects parental educational level intervention mapping multicomponent intervention school children food and nutrition intervention healthy eating food acceptance tactile play cooking fish health promotion childhood overweight risk community screening tool food environment home school food consumption patterns dietary intakes macronutrients micronutrients Eastern Mediterranean Region review parental role modelling family environment availability and accessibility cluster randomised controlled trial minority parents prevention diet nutrition promotion Black/African American Hispanic qualitative |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557338503321 |
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Rito Ana Isabel
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| 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 |
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Luo Suhuai
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| Basel, : MDPI Books, 2022 | ||
| Materiale a stampa | ||
| 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 electronic resource (234 p.) |
| Soggetto non controllato |
growth optimal portfolio
Wishart model conditional Value-at-Risk (CoVaR) systemic risk utility functions current drawdown risk measure risk-based portfolios capital market pricing model systemic risk measures Big Data International Financial Reporting Standard 9 cartography stock prices copula models CoVaR quantitative risk management auto-regressive fractional Kelly allocation independence assumption deep learning structural models financial regulation data science efficient frontier weighted logistic regression estimation error financial markets capital allocation multi-step ahead forecasts target matrix value at risk random matrices credit risk portfolio theory convex programming admissible convex risk measures non-stationarity financial mathematics quantile regression Markowitz portfolio theory shrinkage loss given default ordered probit |
| ISBN | 3-03928-499-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404091803321 |
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Resta Marina
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| 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 |
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Attewell Paul A. <1949->
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| Oakland, California : , : University of California Press, , 2015 | ||
| Materiale a stampa | ||
| 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 |
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Attewell Paul A. <1949->
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| Oakland, California : , : University of California Press, , 2015 | ||
| Materiale a stampa | ||
| 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 electronic resource (254 p.) |
| Soggetto topico |
Information technology industries
Computer science |
| Soggetto non controllato |
crisis reporting
chatbots journalists news media COVID-19 textbook research digital humanities digital infrastructures data analysis content base image retrieval semantic information retrieval deep features multimedia document retrieval data science open government data governance and social institutions economic determinants of open data geoinformation technology fractal dimension territorial road network box-counting framework script Python ArcGIS internet of things LoRaWAN ICT The Things Network ESP32 microcontroller decision systems rule based systems databases rough sets prediction by partial matching spatio-temporal activity recognition smart homes artificial intelligence automation e-commerce machine learning big data customer relationship management (CRM) distracted driving driving behavior driving operation area data augmentation feature extraction authorship text mining attribution neural networks deep learning forensic intelligence dashboard WebGIS data analytics SARS-CoV-2 Big Data Web Intelligence media analytics social sciences humanities linked open data adaptation process interdisciplinary research media criticism classification information systems public health data mining ioCOVID19 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576878103321 |
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Portela Filipe
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| 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 electronic resource (212 p.) |
| Soggetto topico |
Medicine
Pharmacology |
| Soggetto non controllato |
data sharing
data management data science big data healthcare depression psychological treatment task sharing primary care pilot study non-specialist health worker training digital technology mental health COVID-19 SARS-CoV-2 pneumonia computed tomography case fatality rate social distancing smoking metabolically healthy obese phenotype metabolic syndrome obesity coronavirus machine learning social media apache spark Arabic language distributed computing smart cities smart healthcare smart governance Triple Bottom Line (TBL) thoracic pain tree classification cross-validation hand-foot-and-mouth disease early-warning model neural network genetic algorithm sentinel surveillance system outbreak prediction artificial intelligence vascular access surveillance arteriovenous fistula end stage kidney disease dialysis kidney failure chronic kidney disease (CKD) end-stage kidney disease (ESKD) kidney replacement therapy (KRT) risk prediction naïve Bayes classifiers precision medicine machine learning models data exploratory techniques breast cancer diagnosis tumors classification |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576885103321 |
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Hulsen Tim
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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