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Advanced Process Monitoring for Industry 4.0
| Advanced Process Monitoring for Industry 4.0 |
| Autore | Reis Marco S |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (288 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
spatial-temporal data
pasting process process image convolutional neural network Industry 4.0 auto machine learning failure mode effects analysis risk priority number rolling bearing condition monitoring classification OPTICS statistical process control control chart pattern disruptions disruption management fault diagnosis construction industry plaster production neural networks decision support systems expert systems failure mode and effects analysis (FMEA) discriminant analysis non-intrusive load monitoring load identification membrane data reconciliation real-time online monitoring Six Sigma multivariate data analysis latent variables models PCA PLS high-dimensional data statistical process monitoring artificial generation of variability data augmentation quality prediction continuous casting multiscale time series classification imbalanced data combustion optical sensors spectroscopy measurements signal detection digital processing principal component analysis curve resolution data mining semiconductor manufacturing quality control yield improvement fault detection process control multi-phase residual recursive model multi-mode model process monitoring |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557491503321 |
Reis Marco S
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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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Data-Intensive Computing in Smart Microgrids
| Data-Intensive Computing in Smart Microgrids |
| Autore | Herodotou Herodotos |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (238 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
electricity load forecasting
smart grid feature selection Extreme Learning Machine Genetic Algorithm Support Vector Machine Grid Search AMI TL SG NB-PLC fog computing green community resource allocation processing time response time green data center microgrid renewable energy energy trade contract real time power management load forecasting optimization techniques deep learning big data analytics electricity theft detection smart grids electricity consumption electricity thefts smart meter imbalanced data data-intensive smart application cloud computing real-time systems multi-objective energy optimization renewable energy sources wind photovoltaic demand response programs energy management battery energy storage systems demand response scheduling automatic generation control single/multi-area power system intelligent control methods virtual inertial control soft computing control methods |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557603203321 |
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Herodotou Herodotos
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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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Evolutionary Computation & Swarm Intelligence
| Evolutionary Computation & Swarm Intelligence |
| Autore | Caraffini Fabio |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (286 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
dynamic stream clustering
online clustering metaheuristics optimisation population based algorithms density based clustering k-means centroid concept drift concept evolution imbalanced data screening criteria DE-MPFSC algorithm Markov process entanglement degree data integration PSO robot manipulator analysis kinematic parameters identification approximate matching context-triggered piecewise hashing edit distance fuzzy hashing LZJD multi-thread programming sdhash signatures similarity detection ssdeep maximum k-coverage redundant representation normalization genetic algorithm hybrid algorithms memetic algorithms particle swarm multi-objective deterministic optimization, derivative-free global/local optimization simulation-based design optimization wireless sensor networks routing Swarm Intelligence Particle Swarm Optimization Social Network Optimization compact optimization discrete optimization large-scale optimization one billion variables evolutionary algorithms estimation distribution algorithms algorithmic design metaheuristic optimisation evolutionary computation swarm intelligence memetic computing parameter tuning fitness trend Wilcoxon rank-sum Holm–Bonferroni benchmark suite data sampling feature selection instance weighting nature-inspired algorithms meta-heuristic algorithms |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557283803321 |
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Caraffini Fabio
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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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