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Advances in Condition Monitoring, Optimization and Control for Complex Industrial Processes
| Advances in Condition Monitoring, Optimization and Control for Complex Industrial Processes |
| Autore | Gao Zhiwei |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (514 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
acetonitrile
additive white Gaussian noises (AWGN) association matrix behavior transfer belief statistic cascading failures CFSFDP algorithm close distance coal seams coarse model complex network theory condition monitoring constitutive model control chart control problem cumulative distribution function data-driven methods dead time deep deterministic policy gradient deep reinforcement learning deviation control distributed generation (DG) distributed model predictive control drilling machine energy conversion systems event-based EWT failure criterion fast Fourier transform (FFT) Fast-Newman algorithm fault classification fault diagnosis fault prognosis flexible flow shop flexible flow shop scheduling flotation process full-heat integration fuzzy logic gamma distribution goaf gob-side entry retaining by roof cutting graph theory hardware experiment Holmquist-Johnson-Cook constitutive model of briquette Hopfield neural network Hybrid Attack Graph improved compact genetic algorithm in-situ monitoring incomplete data INSGA-II Level-of-Resilience limited buffer link-addition strategy load identification local scheduling loop design memetic salp swarm algorithm microalgae MIMO temperature control in heating process system multi-input and multi-output system multi-input multi-output (MIMO) temperature system multi-linear principal component analysis (MPCA) multi-objective optimization multi-queue limited buffers multiscale fuzzy entropy n/a neutrosophic statistic non-pillar nonlinear adaptive backstepping controller disturbance observer numerical simulation oil and gas optimal nonlinear adaptive control parameter acquisition parameter uncertainties perturbation observer PID PNN pole-zero cancelation potential crowding distance power systems pressure swing distillation probability density function of the Gaussian distribution process control public buffer raceway reactive power optimization reagent dosage refrigeration reinforcement learning resilient control roadway supporting self-learning semiconductor bonding equipment-grouping method separation simulated annealing algorithm slow-mode-based control split Hopkinson pressure bar experiment stability state-action chains static and dynamic planning steam power plant steam/water loop stress distribution temperature difference temperature differences time series froth image topology transfer bees optimizer transient response tunnel boring machine uncorrelated multi-linear principal component analysis (UMPCA) variable geometry turbocharger voltage source converter water wind turbine wind turbine systems |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557338303321 |
Gao Zhiwei
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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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AI and Financial Markets
| AI and Financial Markets |
| Autore | Hamori Shigeyuki |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (230 p.) |
| Soggetto topico | Economics, Finance, Business and Management |
| Soggetto non controllato |
agent based simulation
algorithmic trading Artificial Intelligence artificial market asset allocation ATR autoencoder blockchain BlockCloud CAR regulation CfD community finances consensus algorithms contract for difference deep learning deep reinforcement learning economic policy exchange rates financial market simulation fiscal flexibility fundamentals hidden markov model individualized financial arrangements interpretability long short-term memory LSTM machine learning neural network neural networks portfolio prediction price momentum Q-learning random forest reinforcement learning RL simulation Stop Loss support vector machine sustainable financial services term structure of interest rates text mining topic model Turtle uncertainty yield curve |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557584903321 |
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Hamori Shigeyuki
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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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AI Applications to Power Systems
| AI Applications to Power Systems |
| Autore | Tjing Lie Tek |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (156 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
artificial neural networks
automatic P2P energy trading cellular computational networks change detection contingency data analytics data mining deep Q-network deep reinforcement learning dynamic mode decomposition event detection feature extraction filtering fuzzy system inter-area oscillations load flow prediction long short-term delayed reward machine learning machine-learning manta ray foraging optimization algorithm Markov decision process modal analysis multi-objective function n/a optimal power flow optimization optimization techniques power quality radial networks reduced order modeling self-healing grid signal processing situation awareness steady-state security assessment total variation smoothing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566478903321 |
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Tjing Lie Tek
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Applied Neural Networks and Fuzzy Logic in Power Electronics, Motor Drives, Renewable Energy Systems and Smart Grids
| Applied Neural Networks and Fuzzy Logic in Power Electronics, Motor Drives, Renewable Energy Systems and Smart Grids |
| Autore | Simões Marcelo Godoy |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (202 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
adaptive neuro-fuzzy inference system
artificial intelligence asynchronous motor automatic generation control back propagation algorithm CNN-LSTM cognitive meters condition assessment convolutional neural network current balancing algorithm Data Envelopment Analysis (DEA) decision optimization deep learning deep reinforcement learning distribution network equipment droop curve electric load forecasting electricity forecasting energy Internet error differentiation frequency regulation Fuzzy Analytical Network Process (FANP) fuzzy iteration fuzzy logic fuzzy neural network control Fuzzy Theory knowledge embed level-shifted SPWM linear active disturbance rejection control load disaggregation long-term forecasting (LTF) machine learning medium-term forecasting (MTF) medium-voltage applications meta-heuristic algorithms motor drives multi information source multi-layer perceptron multilevel current source inverter NILM non-dominated sorting genetic algorithm II non-technical losses particle swarm optimization phase-shifted carrier SPWM renewable energy reserve power semi-supervised learning short-term forecasting (STF) smart grid solar power plant STATCOM state machine the rate of change of frequency thermostatically controlled loads vector control very short-term forecasting (VSTF) |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557103703321 |
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Simões Marcelo Godoy
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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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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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Multi-Robot Systems: Challenges, Trends and Applications
| Multi-Robot Systems: Challenges, Trends and Applications |
| Autore | Roldán Gómez Juan Jesús |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (392 p.) |
| Soggetto topico |
History of engineering and technology
Technology: general issues |
| Soggetto non controllato |
android robot
arbitration automatic design AutoMoDe autonomous media production autonomous robots behaviour collaborative localization collaborative navigation collaborative robots collision-free constraint constrained-communication environments cooperative systems coordination deep reinforcement learning demand dialogue system digital twin distributed tracking drone cinematography drones dual-head electromagnetic propulsion device dynamic environments elderly people evolutionary robotics exploration missions firefighting heterogeneous multi-robotic cell hormone human robot interaction Industry 4.0 information sharing Kalman filter lean automation low computational power M* algorithm manipulation planning mapping mixed reality simulation multi-agent systems multi-robot multi-robot cell multi-robot coordinated systems multi-robot systems multimedia tools multiple conversation robots n/a native language application nonlinear model optimality and completeness passive social conversation path planning perception PID controller planning positional uncertainty re-localization module robot-human interactions robotics robust autonomous landing shortest path finding socket communication swarm swarm robotics swarms task and motion planning teamwork time-based synchronization two robots unmanned aerial vehicle unmanned aerial vehicles unmanned ground vehicle unscented transformation virtual reality visualized ground control station X-Plane flight simulator |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Multi-Robot Systems |
| Record Nr. | UNINA-9910674397903321 |
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Roldán Gómez Juan Jesús
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Novel Technologies to Enhance Energy Performance and Indoor Environmental Quality of Buildings
| Novel Technologies to Enhance Energy Performance and Indoor Environmental Quality of Buildings |
| Autore | Cannavale Alessandro |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (246 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
3D printed materials
adaptability additive manufacturing airborne bacteria airborne fungi architectural design ausforming bioaerosols biomimetics BIPV building envelope building performance simulation building skin challenges CO2 concentration CO2 production rate Cu-Zn-Al deep reinforcement learning demand controlled ventilation (DCV) design framework energy conservation energy efficiency energy saving environmental factors full-scale facility genetic algorithm granular aerogel hybrid ventilated school building HYBUILD IEQ indoor air quality (IAQ) indoor thermal comfort microstructure multifunctionality n/a noise pollution occupancy estimation optimal control optimization ozone ozone generation perovskite solar cells phase change materials portable air purifier property prices renewable energy residential buildings residential market retrofit action second-skin materials seismic semi-transparent shape memory SMA super elasticity thermal energy storage thermal management transformation temperatures TRNSYS ventilated facade window frame |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557365003321 |
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Cannavale Alessandro
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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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Recent Advances in Social Data and Artificial Intelligence 2019
| Recent Advances in Social Data and Artificial Intelligence 2019 |
| Autore | Srivastava Hari Mohan |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (498 p.) |
| Soggetto topico |
Computer science
Information technology industries |
| Soggetto non controllato |
ABMS
advanced multicomponential discretization models artificial intelligence asymmetry automatic speech recognition behavior analysis blockchain breakpoint test business centrality metric client/server cloud computing color revolution operator combinatorial optimization problem community detection complex networks context-aware contingencies crude oil price cryptography cybernetics data acquisition data management data processing data science data-discretization methods data-mining techniques DBLP platform decision tree deep factorization deep reinforcement learning detection technology digital services digital teacher training digitalization electronic health records Facebook advertising post fashion recommendation feature selection feature-selection methods geometric analysis graph visualisation gravitational degree gravity model greedy strategy H-index Hadoop health information management healthcare data heuristics method hierarchical information ice-snow tourism ICT infrastructure imperialist competitive algorithm industry data applications innovation keyphrase extraction label propagation algorithm lidar scanning signal linear kernel lossless signal transmission machine learning markov switching micro-distortion modularity increment multi-channel weighted fusion loss multi-layer neural network multilayer network multiple granularity features natural language processing nature-inspired algorithm NP-hard problem overlapping community discovery pancreatic cancer partial key exposure attack person re-identification plant root polynomial kernel post engagement predictive analytics preference analysis privacy Python quality of service RBF kernel recommendation system replace face-to-face education robust partial least squares path modeling RSA cryptanalysis RSA cryptosystem security service composition service time-cost Siamese Multiple Granularity Network social behavior social data science social media marketing social network social network simulation social networking satisfaction social networks Spark speech corpus stock market structural change sustainable development symmetrical designing tag information TCD1209DG technology acceptance tele-education telemedicine temporal links prediction text corpus text mining topic model twin support vector machine two expansions two-tier partition algorithm unsupervised method visual analytics visual style weighted non-negative matrix factorization |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910585943903321 |
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Srivastava Hari Mohan
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Steady-State Operation, Disturbed Operation and Protection of Power Networks
| Steady-State Operation, Disturbed Operation and Protection of Power Networks |
| Autore | Vallée François |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (98 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
abnormal data
battery storage deep deterministic policy gradient deep reinforcement learning electricity consumption representative profiles electromagnetic transient (EMT)-transient stability (TS) hybrid simulation emergency control strategy energy communities forecasting impedance determination lithium-ion lossy compression algorithms machine learning model uncertainties multi-infeed HVDCs outliers peak demand pricing peak shaving receiving-end system security assessment self-consumption singular value decomposition tariff structure voltage control wavelet transformation wind power |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557141603321 |
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Vallée François
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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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