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Artificial Intelligence and Cognitive Computing : Methods, Technologies, Systems, Applications and Policy Making
| Artificial Intelligence and Cognitive Computing : Methods, Technologies, Systems, Applications and Policy Making |
| Autore | Lytras Miltiadis |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (278 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
air quality
anomalies artificial intelligence Artificial intelligence artificial neural network assembly clearance barnett shale clustering CO2 flooding data envelopment analysis data mining decision making decision-making system deep learning devonian shale diesel engine quality dimension reduction elastic parameters empirical correlations face recognition fishbone multilateral wells histogram of oriented gradients Hybrid clustering international research Internet of things knowledge map visualization location prediction Long Short Term Memory (LSTM) LSTM machine learning minimum miscibility pressure (MMP) mixed integer linear programming most-matching Multi-hop routing multivariate n/a Network lifetime neural networks new models performance Poisson's ratio policy documents quantification policy keyword predictive models real-time regular patterns research hotspot rheological properties rough set sandstone sandstone formations security self-adaptive differential evolution smart cities smart tourism spatiotemporal speech output correction speech recognition spoofing static Young's modulus system total organic carbon trajectories visual analytics water-based drill-in fluid well productivity Wireless nodes |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Artificial Intelligence and Cognitive Computing |
| Record Nr. | UNINA-9910557356503321 |
Lytras Miltiadis
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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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Artificial Intelligence for Smart and Sustainable Energy Systems and Applications
| Artificial Intelligence for Smart and Sustainable Energy Systems and Applications |
| Autore | Lytras Miltiadis |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (258 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
ambient assisted living
artificial intelligence artificial neural network artificial neural networks CNN computational intelligence conditional random fields decision tree deep learning demand response demand side management distributed genetic algorithm drill-in fluid ELR energy energy disaggregation energy efficient coverage energy management ERELM Faster R-CNN feature extraction forecasting genetic algorithm home energy management home energy management systems insulator internet of things Jetson TX2 load load disaggregation LR LSTM machine learning Marsh funnel MCP39F511 mud rheology multiple kernel learning NILM non-intrusive load monitoring nonintrusive load monitoring object detection optimization algorithms plastic viscosity policy making price RELM RPN sandstone reservoirs scheduling self-adaptive differential evolution algorithm sensor network smart cities smart city smart grid smart grids smart metering smart villages static young's modulus support vector machine sustainable development transient signature wireless sensor networks yield point |
| ISBN | 3-03928-890-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404078103321 |
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Lytras Miltiadis
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Internet of Things and Artificial Intelligence in Transportation Revolution
| Internet of Things and Artificial Intelligence in Transportation Revolution |
| Autore | Lytras Miltiadis |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (232 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
artificial neural networks
at-risk driving authentication automatic license plate recognition autonomous navigation autonomous path planning collision avoidance connected vehicle convolutional neural networks crowdsourcing data fusion DDPG decision-making deep learning deep reinforcement learning deep support vector machine driver drowsiness driver stress end-to-end histogram of oriented gradients hybrid dynamic system indoor localization Inertial Measurement Unit (IMU) Inertial Measurement Units intelligent transportation systems intelligent vehicle access internet of things maritime autonomous surface ships maritime vessel flows multi-objective genetic algorithm multiple kernel learning n/a road anomalies road transportation scene division security speed guidance state transition time-frequency traffic signal control unknown inputs observer unmanned ships urban freeway vehicle arrival time vehicle density |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557134703321 |
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Lytras Miltiadis
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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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Knowledge Manageation and Big Data: Implications for Sustainability, Policy Making and Competitiveness
| Knowledge Manageation and Big Data: Implications for Sustainability, Policy Making and Competitiveness |
| Autore | Lytras Miltiadis |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 online resource (416 p.) |
| Soggetto topico | Education |
| Soggetto non controllato |
absorptive capacity
administrative file administrative procedure bibliometric big data Big Data big data analysis big data environment business intelligence citizen-scientist climate change cloud computing cloud data governance co-citation network collaboration network communication competitive advantage conceptual maturity model corporate sustainability crowdsourcing data analysis data governance disruptive innovation education emerging trends employee loyalty-EL heterogeneous architectures holistic human capital human capital investment hybrid neural networks IC manufacturing innovation innovation capability innovation performance intellectual structure internal social networks international technological collaboration Jordan key performance indicators keywords analysis knowledge assets knowledge creation knowledge creation process knowledge embeddedness knowledge management knowledge mapping knowledge sharing knowledge specificity leadership linked data mechanical patent classification MTurk multi-dimensional data model new ventures NLP ontology design open data P-PLAN patent analysis patent association analysis personalized business mode process innovation capability product innovation capability project-based organization PROV-O provenance quality orientation of employees-QOE RDF risk perception six sigma smart education social capital social media social network analysis social networks strategic decision-making structural equation model sustainability sustainable competitive advantage sustainable development systematic review taxonomy technological information technology acceptance model technology-enhanced learning process text feature extraction text mining text structure top management team training transformational training programs-TTP universities user acceptance visualizing |
| ISBN | 3-03928-009-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Knowledge Manageation and Big Data |
| Record Nr. | UNINA-9910367735703321 |
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Lytras Miltiadis
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Training, Education and Research in COVID-19 Times: Innovative Methodological Approaches, Best Practices, and Case Studies
| Training, Education and Research in COVID-19 Times: Innovative Methodological Approaches, Best Practices, and Case Studies |
| Autore | Lytras Miltiadis |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (278 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
accreditation
ambidexterity ARCS model Austria best practices Chinese universities continued usage intention course performance COVID-19 digital education dynamic capability education for sustainable development educational process educational spaces eLearning employee psychophysiological profile environmental engineer expectation-confirmation model flipped classroom framework gamification governance health governance healthcare higher education hybrid learning international cooperation IS success model job satisfaction management change medical education assurance medical training mixed methods MOOC MOOCs n/a online courses online education organizational speed pandemic population health research post-digital preventive behaviors professional-defining qualities psychophysiological standard psychophysiological status public health research quality R&D organization remote teaching research methods residents training satisfaction Saudi Commission for Health Specialties smart healthcare specialist professiogram student attitude student behavior student performance subjective norms sustainable education sustainable health teaching method tertiary education the COVID-19 pandemic the satisfaction of students theory of planned behavior training young adults |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Training, Education and Research in COVID-19 Times |
| Record Nr. | UNINA-9910557350503321 |
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Lytras Miltiadis
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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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