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AI-Based Transportation Planning and Operation
| AI-Based Transportation Planning and Operation |
| Autore | Sohn Keemin |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (124 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
autoencoder
deep learning traffic volume vehicle counting CycleGAN bottleneck and gridlock identification gridlock prediction urban road network long short-term memory link embedding traffic speed prediction traffic flow centrality reachability analysis spatio-temporal data artificial neural network context-awareness dynamic pricing reinforcement learning ridesharing supply improvement taxi preventive automated driving system automated vehicle traffic accidents deep neural networks vehicle GPS data driving cycle micro-level vehicle emission estimation link emission factors MOVES black ice CNN prevention |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557486603321 |
Sohn Keemin
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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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Big Data Analytics and Information Science for Business and Biomedical Applications II
| Big Data Analytics and Information Science for Business and Biomedical Applications II |
| Autore | Ahmed S. Ejaz |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (196 p.) |
| Soggetto topico |
Information technology industries
Computer science |
| Soggetto non controllato |
bandwidth selection
correlation edge-preserving image denoising image sequence jump regression analysis local smoothing nonparametric regression spatio-temporal data linear mixed model ridge estimation pretest and shrinkage estimation multicollinearity asymptotic bias and risk LASSO estimation high-dimensional data big data adaptation dividend estimation options markets weighted least squares online health community social support network analysis cancer functional principal component analysis functional predictor linear mixed-effects model mobile device sparse group regularization wearable device data Bayesian modeling functional regression gestational weight infant birth weight joint modeling longitudinal data maternal weight gain transfer learning deep learning pretrained neural networks chest X-ray images lung diseases causal structure learning consistency FCI algorithm high dimensionality nonparametric testing PC algorithm fMRI functional connectivity brain network Human Connectome Project statistics |
| ISBN | 3-0365-5550-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910637784003321 |
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Ahmed S. Ejaz
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Community and Family-Focused Public Health and Sustainable Development
| Community and Family-Focused Public Health and Sustainable Development |
| Autore | Zukiewicz-Sobczak Wioletta |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (476 p.) |
| Soggetto topico | Public health & preventive medicine |
| Soggetto non controllato |
family
living with children parenthood mother father self-rated health health behavior mental health Germany gut microbiome antimicrobial activity pathogen overgrowth smoking tobacco smoke exposure to tobacco smoke ETS anti-tobacco law hospitality venues quality of life the elderly seniors health cardiovascular diseases physical and psychological well-being health behaviors pregnancy rural area urban area CHEK2 MEN Cushing syndrome hypertension multiple endocrine glands tumors cervix uteri epidemiology screening mortality time trends east-central Europe depression bone markers osteocalcin β-CTX vitamin D metabolomics metabolites amino acids biomarkers asthma diagnosis children community health services postmodern education theories factor analysis genetic testing umbilical cord blood banking women health air pollution PM2.5 pregnancy outcomes sustainable development spatio-temporal data NUTS-1 kernel discriminant coordinates method super macroregions proteomics mass spectrometry MALDI-MSI tissue imaging ovarian tumors gestational diabetes mellitus diabetes obesity cesarean section health policy health inequalities healthcare access spatial distribution of the health situation cluster analysis functional discriminant coordinates multivariate functional coefficient of variation adenomyosis infertility GnRH in vitro fertilisation type 1 diabetes proteomic profile C4 complement PURE study noncommunicable diseases urban rural FRAP TBARS anaerobic threshold peakVO2 lifestyle training exercises intergenerational relations academic youth standardized questionnaire WHOQOL-BREF alcohol cohort study PURE pro-health behaviours anti-health behaviour prevention patient 50+ population chronic diseases special motor fitness speed flexibility endurance physical activity health training women WHOQOL-BREF questionnaire Bangladesh gender violence multidimensional poverty poverty reduction women’s empowerment color vision anomaloscope Moreland Rayleigh Hashimoto’s disease oxidative stress zinc copper child health child nutrition dairy food security food systems nutrition sustainability sustainable food systems working population Poland Ukraine spinal cord injury hematological parameters peak oxygen uptake sleep duration bedtime access to health care health care services hospital emergency departments spatial analysis public health management testosterone cortisol creatinine overtraining |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566483303321 |
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Zukiewicz-Sobczak Wioletta
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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