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Advances in Hyperspectral Data Exploitation
| Advances in Hyperspectral Data Exploitation |
| Autore | Chang Chein-I |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (434 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
hyperspectral image few-shot classification
deep learning meta-learning relation network convolutional neural network constrained-target optimal index factor band selection (CTOIFBS) hyperspectral image underwater spectral imaging system underwater hyperspectral target detection band selection (BS) constrained energy minimization (CEM) lightweight convolutional neural networks hyperspectral imagery classification transfer learning air temperature spatial measurement FTIR MWIR carbon dioxide absorption target detection coffee beans insect damage hyperspectral imaging band selection visualization color formation models multispectral image image fusion joint tensor decomposition anomaly detection constrained sparse representation hyperspectral imagery moving target detection spatio-temporal processing hyperspectral remote sensing image classification constraint representation superpixel segmentation multiscale decision fusion plug-and-play denoising nonlinear unmixing spectral reconstruction residual augmented attentional u-shape network spatial augmented attention channel augmented attention boundary-aware constraint atmospheric transmittance temperature emissivity separation midwave infrared hyperspectral images hyperspectral image super-resolution data fusion spectral-spatial residual network self-supervised training hyperspectral vegetation generative adversarial network data augmentation classification rice leaf blast hyperspectral imaging data deep convolutional neural networks fused features evolutionary computation heuristic algorithms machine learning unmanned aerial vehicles (UAVs) vegetation mapping upland swamps mine environment rice rice leaf folder hyperspectral image classification change detection self-supervised learning attention mechanism multi-source image fusion SFIM least square estimation spatial filter hyperspectral imaging (HSI) hyperspectral target detection hyperspectral reconstruction hyperspectral unmixing |
| ISBN | 3-0365-5796-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910637782203321 |
Chang Chein-I
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Current Approaches and Applications in Natural Language Processing
| Current Approaches and Applications in Natural Language Processing |
| Autore | Montejo-Ráez Arturo |
| Pubbl/distr/stampa | Basel, : MDPI Books, 2022 |
| Descrizione fisica | 1 electronic resource (476 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
natural language processing
distributional semantics machine learning language model word embeddings machine translation sentiment analysis quality estimation neural machine translation pretrained language model multilingual pre-trained language model WMT neural networks recurrent neural networks named entity recognition multi-modal dataset Wikimedia Commons multi-modal language model concreteness curriculum learning electronic health records clinical text relationship extraction text classification linguistic corpus deception linguistic cues statistical analysis discriminant function analysis fake news detection stance detection social media abstractive summarization monolingual models multilingual models transformer models transfer learning discourse analysis problem-solution pattern automatic classification machine learning classifiers deep neural networks question answering machine reading comprehension query expansion information retrieval multinomial naive bayes relevance feedback cause-effect relation transitive closure word co-occurrence automatic hate speech detection multisource feature extraction Latin American Spanish language models fine-grained named entity recognition k-stacked feature fusion dual-stacked output unbalanced data problem document representation semantic analysis conceptual modeling universal representation trend analysis topic modeling Bert geospatial data technology and application attention model dual multi-head attention inter-information relationship question difficult estimation named-entity recognition BERT model conditional random field pre-trained model fine-tuning feature fusion attention mechanism task-oriented dialogue systems Arabic multi-lingual transformer model mT5 language marker mental disorder deep learning LIWC spaCy RobBERT fastText LIME conversational AI intent detection slot filling retrieval-based question answering query generation entity linking knowledge graph entity embedding global model DISC model personality recognition predictive model text analysis data privacy federated learning transformer |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910595079903321 |
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Montejo-Ráez Arturo
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| Basel, : MDPI Books, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Deep Learning-Based Machinery Fault Diagnostics
| Deep Learning-Based Machinery Fault Diagnostics |
| Autore | Chen Hongtian |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (290 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
process monitoring
dynamics variable time lag dynamic autoregressive latent variables model sintering process hammerstein output-error systems auxiliary model multi-innovation identification theory fractional-order calculus theory canonical variate analysis disturbance detection power transmission system k-nearest neighbor analysis statistical local analysis intelligent fault diagnosis stacked pruning sparse denoising autoencoder convolutional neural network anti-noise flywheel fault diagnosis belief rule base fuzzy fault tree analysis Bayesian network evidential reasoning aluminum reduction process alumina concentration subspace identification distributed predictive control spatiotemporal feature fusion gated recurrent unit attention mechanism fault diagnosis evidential reasoning rule system modelling information transformation parameter optimization event-triggered control interval type-2 Takagi-Sugeno fuzzy model nonlinear networked systems filter gearbox fault diagnosis convolution fusion state identification PSO wavelet mutation LSSVM data-driven operational optimization case-based reasoning local outlier factor abnormal case removal bearing fault detection deep residual network data augmentation canonical correlation analysis just-in-time learning fault detection high-speed trains autonomous underwater vehicle thruster fault diagnostics fault tolerant control robust optimization ocean currents |
| ISBN | 3-0365-5174-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910619469103321 |
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Chen Hongtian
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Energy Data Analytics for Smart Meter Data
| Energy Data Analytics for Smart Meter Data |
| Autore | Reinhardt Andreas |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (346 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
smart grid
nontechnical losses electricity theft detection synthetic minority oversampling technique K-means cluster random forest smart grids smart energy system smart meter GDPR data privacy ethics multi-label learning Non-intrusive Load Monitoring appliance recognition fryze power theory V-I trajectory Convolutional Neural Network distance similarity matrix activation current electric vehicle synthetic data exponential distribution Poisson distribution Gaussian mixture models mathematical modeling machine learning simulation Non-Intrusive Load Monitoring (NILM) NILM datasets power signature electric load simulation data-driven approaches smart meters text convolutional neural networks (TextCNN) time-series classification data annotation non-intrusive load monitoring semi-automatic labeling appliance load signatures ambient influences device classification accuracy NILM signature load disaggregation transients pulse generator smart metering smart power grids power consumption data energy data processing user-centric applications of energy data convolutional neural network energy consumption energy data analytics energy disaggregation real-time smart meter data transient load signature attention mechanism deep neural network electrical energy load scheduling satisfaction Shapley Value solar photovoltaics review deep learning deep neural networks |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557645803321 |
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Reinhardt Andreas
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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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Innovative Topologies and Algorithms for Neural Networks
| Innovative Topologies and Algorithms for Neural Networks |
| Autore | Xibilia Maria Gabriella |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (198 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
facial image analysis
facial nerve paralysis deep convolutional neural networks image classification Chinese text classification long short-term memory convolutional neural network Arabic named entity recognition bidirectional recurrent neural network GRU LSTM natural language processing word embedding CNN object detection network attention mechanism feature fusion LSTM-CRF model elements recognition linguistic features POS syntactic rules action recognition fused features 3D convolution neural network motion map long short-term-memory tooth-marked tongue gradient-weighted class activation maps ship identification fully convolutional network embedded deep learning scalability gesture recognition human computer interaction alternative fusion neural network deep learning sentiment attention mechanism bidirectional gated recurrent unit Internet of Things convolutional neural networks graph partitioning distributed systems resource-efficient inference pedestrian attribute recognition graph convolutional network multi-label learning autoencoders long-short-term memory networks convolution neural Networks object recognition sentiment analysis text recognition IoT (Internet of Thing) systems medical applications |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557553903321 |
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Xibilia Maria Gabriella
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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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Natural Language Processing: Emerging Neural Approaches and Applications
| Natural Language Processing: Emerging Neural Approaches and Applications |
| Autore | Esposito Massimo |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (544 p.) |
| Soggetto topico |
Information technology industries
Computer science |
| Soggetto non controllato |
tourism big data
text mining NLP deep learning clinical named entity recognition information extraction multitask model long short-term memory conditional random field relation extraction entity recognition long short-term memory network multi-turn chatbot dialogue context encoding WGAN-based response generation BERT word embedding text summary reinforce learning FAQ classification encoder-decoder neural network multi-level word embeddings BERT bidirectional RNN cloze test Korean dataset machine comprehension neural language model sentence completion primary healthcare chief complaint virtual medical assistant spoken natural language disease diagnosis medical specialist protein-protein interactions deep learning (DL) convolutional neural networks (CNN) bidirectional long short-term memory (bidirectional LSTM) dialogue management user simulation reward shaping conversation knowledge multi-agent reinforcement learning language modeling classification error probability error assessment logic error neural network LSTM attention mechanism programming education neural architecture search word ordering Korean syntax adversarial attack adversarial example sentiment classification dual pointer network context-to-entity attention text classification rule-based word embedding Doc2vec paraphrase identification encodings R-GCNs contextual features sentence retrieval TF−ISF BM25 partial match sequence similarity word to vector word embeddings antonymy detection polarity text normalization natural language processing deep neural networks causal encoder question classification multilingual convolutional neural networks Natural Language Processing (NLP) transfer learning open information extraction recurrent neural networks bilingual translation speech-to-text LaTeX decompilation word representation learning word2vec sememes structural information sentiment analysis zero-shot learning news analysis cross-lingual classification multilingual transformers knowledge base commonsense sememe prediction attention model ontologies fixing ontologies quick fix quality metrics online social networks rumor detection Cantonese XGA model delayed combination CNN dictionary named entity recognition deep learning NER bidirectional LSTM CRF CoNLL OntoNotes toxic comments neural networks |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Natural Language Processing |
| Record Nr. | UNINA-9910566478103321 |
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Esposito Massimo
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Networks, Communication, and Computing Vol. 2
| Networks, Communication, and Computing Vol. 2 |
| Autore | Farago Andras |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (108 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
communication traffic prediction
intelligent traffic management deformable convolution attention mechanism the next generation of telecommunication (5G) deep learning reinforcement learning systematic review cellular networks underwater wireless sensor networks ant colony optimization algorithms clustering routing algorithms energy efficiency network lifetime unmanned aerial vehicles UAV placement metaheuristics routing NP-complete NP-hard approximation polynomial time algorithm disjoint connecting paths unsplittable flow network design |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557337803321 |
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Farago Andras
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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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Novel Approaches for Nondestructive Testing and Evaluation
| Novel Approaches for Nondestructive Testing and Evaluation |
| Autore | Lee Jinyi |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (206 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
composites
multi-scale embedded damage non-destructive testing photoacoustic ultrasonic representation terahertz coded-aperture imaging convolution neural network (CNN) fast image reconstruction nondestructive evaluation acoustic nonlinearity parameter indirect method laser ultrasound fully non-contact surface acoustic wave UWB-PPM UWB-OOK buried objects nondestructive environment Levenberg-Marquardt method textured surface anomaly detection computer vision deep learning attention mechanism adaptive fusion power quality disturbances long short term memory convolutional neural network short time Fourier transform leaky Lamb wave semi-analytical finite element (SAFE) waveguide sensor finite-width plate waveguide plate width modes spatial beating Rayleigh-Sommerfeld integral (RSI) weld cracks eddy current nondestructive testing gradiently relative magnetic permeability heat affected zone austenitic stainless steel circulating fluidized bed combustion boiler water-cooled wall tube magnetic sensor array magnetic flux density flexible ultrasonic probe neutron irradiation embrittlement reactor pressure vessel magnetic nondestructive evaluation micromagnetic multiparameter microstructure and stress analysis 3MA magnetic adaptive testing 3D imaging of metal grains non-destructive testing methods stacking images SA106 carbon steel terahertz waves refractive index thickness measurement Shim stock films composite materials reflection mode neutron radiography Bragg-edge imaging gas tungsten arc welding (GTAW) low transformation temperature (LTT) steel austenite-to-martensite transformation Debye-Waller factor |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566474103321 |
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Lee Jinyi
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Recent Advances and Applications of Machine Learning in Metal Forming Processes
| Recent Advances and Applications of Machine Learning in Metal Forming Processes |
| Autore | Prates Pedro |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (210 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology Mining technology & engineering |
| Soggetto non controllato |
sheet metal forming
uncertainty analysis metamodeling machine learning hot rolling strip edge defects intelligent recognition convolutional neural networks deep-drawing kriging metamodeling multi-objective optimization FE (Finite Element) AutoForm robust analysis defect prediction mechanical properties prediction high-dimensional data feature selection maximum information coefficient complex network clustering ring rolling process energy estimation metal forming thermo-mechanical FEM analysis artificial neural network aluminum alloy mechanical property UTS topological optimization artificial neural networks (ANN) machine learning (ML) press-brake bending air-bending three-point bending test sheet metal buckling instability oil canning artificial intelligence convolution neural network hot rolled strip steel defect classification generative adversarial network attention mechanism deep learning mechanical constitutive model finite element analysis plasticity parameter identification full-field measurements |
| ISBN | 3-0365-5772-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910637782503321 |
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Prates Pedro
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Sensors Fault Diagnosis Trends and Applications
| Sensors Fault Diagnosis Trends and Applications |
| Autore | Witczak Piotr |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (236 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
rolling bearing
performance degradation hybrid kernel function krill herd algorithm SVR acoustic-based diagnosis gear fault diagnosis attention mechanism convolutional neural network stacked auto-encoder weighting strategy deep learning bearing fault diagnosis intelligent leak detection acoustic emission signals statistical parameters support vector machine wavelet denoising Shannon entropy adaptive noise reducer gaussian reference signal gearbox fault diagnosis one against on multiclass support vector machine varying rotational speed fault detection and diagnosis faults estimation actuator and sensor fault observer design Takagi-Sugeno fuzzy systems automotive perception sensor lidar fault detection fault isolation fault identification fault recovery fault diagnosis fault detection and isolation (FDIR) autonomous vehicle model predictive control path tracking control fault detection and isolation braking control nonlinear systems fault tolerant control iterative learning control neural networks cryptography wireless sensor networks machine learning scan-chain diagnosis artificial neural network NARX control valve decision tree signature matrix |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557506603321 |
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Witczak Piotr
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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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