Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Deep Learning Applications with Practical Measured Results in Electronics Industries
| Deep Learning Applications with Practical Measured Results in Electronics Industries |
| Autore | Kung Hsu-Yang |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (272 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
A*
background model binary classification CNN compressed sensing computational intelligence content reconstruction convolutional network data fusion data partition deep learning digital shearography discrete wavelet transform dot grid target eye-tracking device faster region-based CNN forecasting foreign object GA gated recurrent unit generative adversarial network geometric errors geometric errors correction GSA-BP human computer interaction humidity sensor hyperspectral image classification image compression image inpainting image restoration imaging confocal microscope Imaging Confocal Microscope information measure instance segmentation intelligent surveillance intelligent tire manufacturing K-means clustering kinematic modelling lateral stage errors Least Squares method long short-term memory machine learning MCM uncertainty evaluation multiple constraints multiple linear regression multivariate temporal convolutional network multivariate time series forecasting neighborhood noise reduction network layer contribution neural audio caption neural networks neuro-fuzzy systems nonlinear optimization offshore wind optimization techniques oral evaluation recommender system reinforcement learning residual networks rigid body kinematics saliency information smart grid supervised learning tire bubble defects tire quality assessment trajectory planning transfer learning UAV underground mines unmanned aerial vehicle unsupervised learning update mechanism update occasion visual tracking |
| ISBN | 3-03928-864-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404080403321 |
Kung Hsu-Yang
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Uncertain Multi-Criteria Optimization Problems
| Uncertain Multi-Criteria Optimization Problems |
| Autore | Pamučar Dragan |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (86 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
AHP
B2C e-commerce factors bi-objective programming carbon emissions chance constrained programming model chance constraint China circuit breakers classification comparison measure complex networks conjoint analysis consistency weights core set crisp probability criteria importance CRITIC cubic m-polar fuzzy aggregation operators with P-order (R-order) cubic m-polar fuzzy set data envelopment analysis DEA decision making decision tree decision-making methods DEMATEL dimensionality reduction disjoint distributionally robust DMAIC Dombi's operations efficiency Einstein operators entropy evolutionary algorithms experimental design expert knowledge FAHP failure mode and effects analysis Fuzzy AHP fuzzy EDAS fuzzy logic fuzzy PIPRECIA fuzzy preference relation (FPR) fuzzy set fuzzy theory geometric aggregation operators based on generalized and group-generalized parameters granular computing green supply chain management grey relational analysis group decision-making (GDM) hazardous materials hesitant fuzzy preference relation (HFPR) Hurwitz's criterion hybrid intelligent algorithm incomplete fuzzy preference relation (IFPR) Industry 4.0 influence diagrams information propagation intermodal transportation interval probability interval-valued intuitionistic fuzzy set intuitionistic fuzzy sets IoT Jensen-Shannon divergence Laplace's criterion Latent Semantic Analysis (LSA) linear Diophantine fuzzy set linear Diophantine fuzzy soft rough set Łukasiewicz consistency machine learning MCDA MCDA benchmark MCDM meta-heuristic algorithm mining methods multi criteria decision analysis (MCDA) Multi-Attribute Decision Making (MADM), criteria selection multi-criteria decision making multi-criteria decision-analysis multi-criteria decision-making multi-criteria group decision making multi-criteria problems multi-objective planning multiple criteria decision-making (MCDM) multiple granulation multiple-criteria decision-making multiplicative preference relation (MPR) normal hesitant fuzzy preference relation (NHFPR) normalization optimization ordered information system outsourcing provider platform selection port-hinterland transportation system prioritized aggregation operators PROMETHEE II PROMETHEE-II Prospective MADM q-ROFNs q-rung orthopair fuzzy numbers q-rung orthopair fuzzy prioritized weighted average operator q-rung orthopair fuzzy prioritized weighted geometric operator q-Rung orthopair fuzzy sets railway representation reverse supply chain robust optimization SCOR model service quality SFA shapley function SIMUS SIR technique Six Sigma (6σ) social networks soft rough linear Diophantine fuzzy set solar panel systems steel making industry step-wise weight assessment ratio analysis subjective and objective teacher efficiency sustainable development sustainable supplier selection text mining textile and garments industry the COMET method TL-consistency TODIM TOPSIS TOPSIS-Grey transport plan transport policy uncertain data uncertain demand uncertainty uncertainty theory underground mines upper reduct and lower reduct vehicle fleet vehicle route model (VRP) viral marketing water loss management website weight restrictions weighting Yangtze River Economic Belt Z-number theory |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557393803321 |
|
Pamučar Dragan
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||