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