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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 |
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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Modeling and Simulation of Carbon Emission Related Issues
| Modeling and Simulation of Carbon Emission Related Issues |
| Autore | Tsai Wen-Hsien |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (420 p.) |
| Soggetto non controllato |
shale gas
Tapio's model 1)) tea VARIMAX-ECM model wave energy converter error correction mechanism model low-carbon agriculture hybrid ship power systems greenhouse gas emissions STIRPAT model textile industry carbon tax refined oil distribution pushback control takeoff rate economic growth generalized regression neural network (GRNN) Industry 4.0 HOMER software population growth Markov forecasting model household consumption life cycle assessment green quality management agricultural-related sectors non-energy uses of fossil fuels investment under uncertainty CO2 emissions forecasting decoupling analysis CO2 emissions quotas allocation carbon price fluctuation final energy consumption ethylene supply household CO2 emissions (HCEs) green transportation Li-ion battery Activity-Based Costing (ABC) decoupling elasticity causal factors renewable energy per capita household CO2 emissions (PHCEs) shipping input-output model carbon intensity target climate change Monte Carlo method CLA Model energy intensity total carbon emissions mathematical programming sustainable development Generalized Divisia Index carbon trading influence factor tire industry socio-economic scenarios hybrid genetic algorithm economic growth and the environment non-linear programming environmental impact capacity expansion product-mix decision model influencing factors scenario forecast energy structure China carbon emissions inventory routing problem green manufacturing fairness power industry activity-based costing (ABC) aircraft electric power industry taxi time real options analysis carbon footprint LT-ARIMAXS model carbon intensity gray model (GM (1 reducing carbon emissions sustainable agriculture long-term |
| ISBN | 3-03921-312-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367566903321 |
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Tsai Wen-Hsien
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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