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