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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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Computational Intelligence in Healthcare
| Computational Intelligence in Healthcare |
| Autore | Castellano Giovanna |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (226 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
sEMG
deep learning neural networks gait phase classification everyday walking convolutional neural network CRISPR leukemia nucleus image segmentation soft covering rough set clustering machine learning algorithm soft computing multistage support vector machine model multiple imputation by chained equations SVM-based recursive feature elimination unipolar depression diabetic retinopathy (DR) pre-trained deep ConvNet uni-modal deep features multi-modal deep features transfer learning 1D pooling cross pooling IMU gait analysis long-term monitoring multi-unit multi-sensor time synchronization Internet of Medical Things body area network MIMU early detection sepsis evaluation metrics machine learning medical informatics feature extraction physionet challenge electrocardiogram Premature ventricular contraction sparse autoencoder unsupervised learning Softmax regression medical diagnosis artificial neural network e-health Tri-Fog Health System fault data elimination health status prediction health status detection health off diffusion tensor imaging ensemble learning decision support systems healthcare computational intelligence Alzheimer's disease fuzzy inference systems genetic algorithms next-generation sequencing ovarian cancer interpretable models |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910674044803321 |
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Castellano Giovanna
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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 Mathematics, Algorithms, and Data Processing
| Computational Mathematics, Algorithms, and Data Processing |
| Autore | Mortari Daniele |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (172 p.) |
| Soggetto topico |
Research & information: general
Mathematics & science |
| Soggetto non controllato |
interpolation
constraints embedded constraints generalized multiscale finite element method multiscale model reduction deep learning Deep Neural Nets ReLU Networks Approximation Theory radial basis functions native spaces truncated function approximation surface modeling second order initial value problems linear multistep methods Obrechkoff schemes trigonometrically fitted Darcy-Forchheimer model flow in porous media nonlinear equation heterogeneous media finite element method multiscale method mixed generalized multiscale finite element method multiscale basis functions two-dimensional domain Thiele-like rational interpolation continued fractions with parameters unattainable point inverse difference virtual point polynomial chaos Szegő polynomials directional statistics Rogers-Szegő state estimation clustering |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557304403321 |
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Mortari Daniele
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| 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 the Analysis of Genomic Data and Biological Processes
| Computational Methods for the Analysis of Genomic Data and Biological Processes |
| Autore | Gómez Vela Francisco A |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (222 p.) |
| Soggetto topico |
Research & information: general
Biology, life sciences |
| Soggetto non controllato |
HIGD2A
cancer DNA methylation mRNA expression miRNA quercetin hypoxia eQTL CRISPR-Cas9 single-cell clone fine-mapping power RNA N6-methyladenosine site yeast genome methylation computational biology deep learning bioinformatics hepatocellular carcinoma transcriptomics proteomics bioinformatics analysis differentiation Gene Ontology Reactome Pathways gene-set enrichment meta-analysis transcription factor binding sites genomics chilling stress CBF DREB CAMTA1 pathway text mining infiltration tactics optimization algorithm classification clustering microarray ensembles machine learning infiltration computational intelligence gene co-expression network murine coronavirus viral infection immune response data mining systems biology obesity differential genes expression exercise high-fat diet pathways potential therapeutic targets DNA N6-methyladenine Chou's 5-steps rule Convolution Neural Network (CNN) Long Short-Term Memory (LSTM) machine-learning chromatin interactions prediction genome architecture |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557129603321 |
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Gómez Vela Francisco A
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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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Distributed Energy Resources Management
| Distributed Energy Resources Management |
| Autore | Faria Pedro |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (236 p.) |
| Soggetto non controllato |
autonomous operation
energy management system stochastic programming co-generation Unit Commitment (UC) distributed system demand-side energy management virtual power plant Powell direction acceleration method average consensus algorithm (ACA) transmission line interval optimization renewable energy microgrids scheduling business model non-cooperative game (NCG) domestic energy management system time series energy trading decision-making under uncertainty Demand Response Unit Commitment (DRUC) real-time simulation distributed generation discrete wavelet transformer microgrid (MG) probabilistic programming optimal bidding ac/dc hybrid microgrid building energy flexibility storage uncertainty Cat Swarm Optimization (CSO) advance and retreat method multiplier method microgrid Demand Response (DR) electricity markets aggregators fault localization aggregator consensus algorithm black start microgrid operation local controller thermal comfort diffusion strategy optimal operation power system restoration (PSR) energy flexibility ARIMA pricing strategy clustering adaptive droop control multi-agent system (MAS) hierarchical game energy flexibility potential demand response |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346681403321 |
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Faria Pedro
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Distributed Energy Resources Management 2018
| Distributed Energy Resources Management 2018 |
| Autore | Vale Zita |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (286 p.) |
| Soggetto non controllato |
virtual power plant
bidding strategy local flexibility market multi-period optimal power flow flexibility service occupant comfort unbalanced networks decentralized energy management system autonomous control optimization energy storage microgrids energy efficiency distributed energy control system DSM optimal scheduling adaptability synergistic optimization strategy teaching-learning distributed generation energy storage system stackelberg dynamic game IoT (Internet of Things) supply and demand comprehensive benefits distributed generator frequency bus-signaling active distribution networks swarm intelligence wind multi-agent technology solar power system management fault-tolerant control indoor environment quality multi-temporal optimal power flow multi-agent synergetic estimation smart grids local energy trading active power control prosumer microgrid trade agreements healthy building smart grid nonlinear control algorithm design and analysis batteries droop control distributed energy resources aggregator multi-agent system frequency control particle swarm optimization distribution system operator building climate control low voltage networks demand Response clustering distributed coordination demand-side management demand response |
| ISBN | 3-03928-171-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910372783203321 |
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Vale Zita
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Economic and Policy Challenges of the Energy Transition in CEE Countries
| Economic and Policy Challenges of the Energy Transition in CEE Countries |
| Autore | Kamiński Jacek |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (448 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
climate change
food security grand challenges multiple factor analysis regional studies renewable energy sustainable development goals support systems energy policy cogeneration capacity market individual cogeneration premium trade globalization financial globalization CO2 emissions real GDP per capita bootstrap panel Granger causality EU transition economies photovoltaics renewable energy sources “My Electricity” renewable energy policy Poland “Mój Prąd” grant renewable energy grants renewable energy support economic appraisal social discount rate Ramsey formula consumption rate of interest social opportunity cost renewable energy sources (RES) green energy transformation sustainable development energy cooperatives coopetition Renewable Energy Communities management households energy consumption platform EU ETS CO2 emissions trading energy companies from Central and Eastern Europe decarbonisation energy transition low-carbon technology climate and energy policy indicators biomass electric vehicle electromobility energy balance efficiency engines clustering charging stations data analysis hydrogen cells energy law customer preferences electric car PHEV driving technique limestone sorbents flue gas desulphurisation FGD gypsum coal-fired power plants climate policy capacity adequacy linear programming COVID-19 pandemic lockdown electricity demand profiles Polish energy mix energy transition in Poland social acceptance carbon emissions fleet electrification sustainable mobility fleet management energy mix onshore wind risk assessment cash-flows discount rate cost of capital cost of equity district heating decarbonization energy efficiency Hubgrade remuneration mechanism power generation new investments combined heat and power optimization thermal energy storage uncertainty |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566473103321 |
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Kamiński Jacek
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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End-Users' Perspectives on Energy Policy and Technology
| End-Users' Perspectives on Energy Policy and Technology |
| Autore | Huh Sung-Yoon |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (166 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
energy demand
CO2 emissions Indonesia households energy consumption pro-environmental behavior conceptual framework energy technology energy security public opinion cost-benefit analysis energy strategy improved cook stoves Honduras occupant behaviour socio-economic profile survey energy efficiency persuasion intervention pro-environmental behaviour change workplace choice experiment renewable energy willingness to accept multinomial logit models LCOE stochastic solar PV South Korea data center thermal characteristics analysis machine learning clustering unsupervised learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557148203321 |
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Huh Sung-Yoon
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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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Energy-Efficient Computing and Communication
| Energy-Efficient Computing and Communication |
| Autore | Pack Sangheon |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (116 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
UAV
relay cooperative communications buffer power control energy efficiency energy-neutral operation wireless powered sensor network simultaneous wireless information and power transfer energy harvesting clustering offloading Internet of Things (IoT) energy constraint Markov decision process (CMDP) optimization computation offloading mobile edge computing lyapunov optimization 1-bit unit cell coding metasurface adaptive beam focusing wireless power transfer UAV network topology control space division |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557476803321 |
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Pack Sangheon
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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