Advanced Intelligent Control through Versatile Intelligent Portable Platforms |
Autore | Vladareanu Luige |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (322 p.) |
Soggetto topico | History of engineering & technology |
Soggetto non controllato |
Passive Brain Signals
adaptive automation and controller EOG artifact independent component analysis engagement index lower limb rehabilitation robot motion intention acquisition static torque sensor quadcopter drone pollutant carbon air monitoring kernel cyber-physical systems intelligent cyber enterprise systems interface user experience accessibility autism spectrum disorder game-based learning systematic literature review exoskeleton hand fractional order model control human–robot interaction training task multi-sensor system quantum particle swarm optimization support vector machines microinjection sensor PDMS capillary micro-wire picolitre volume measurement MPWM microfluidic transport β-Ga2O3 nanowires oxidation silver catalyst electrical conductivity photodetector automatic distortion rectification wide-angle lens fish-eye lens advanced driver-assistance system (ADAS) video-surveillance vision tasks connected bike smart technologies IoT personalized training embedded back-end front-end Android modules MQTT monitoring 3D scanning 3D shape reconstruction RGB-D sensors imperfect data hybrid neural networks computer vision deep learning convolutional neural networks advanced intelligent control facial emotion recognition face recognition NAO robot critical infrastructures positioning system optical measurements fiducial markers adaptive kalman measurement fusion software sensor data machine-learning classifier smartphone security intelligent control robot control intelligent sensor systems intelligent decision support systems versatile intelligent portable platforms new technologies adaptive sensor networks virtual and augmented reality intelligent remote control and communication |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557530303321 |
Vladareanu Luige
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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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Advanced Signal Processing in Wearable Sensors for Health Monitoring |
Autore | Abbod Maysam |
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 |
automated dietary monitoring
eating detection eating timing error analysis biomedical signal processing smart eyeglasses wearable health monitoring artificial neural network joint moment prediction extreme learning machine Hill muscle model online input variables Review ECG Signal Processing Machine Learning Cardiovascular Disease Anomaly Detection photoplethysmography motion artifact independent component analysis multi-wavelength continuous arterial blood pressure systolic blood pressure diastolic blood pressure deep convolutional autoencoder genetic algorithm electrocardiography vectorcardiography myocardial infarction long short-term memory spline multilayer perceptron pain detection stress detection wearable sensor physiological signals behavioral signals non-invasive system hemodynamics arterial blood pressure central venous pressure pulmonary arterial pressure intracranial pressure heart rate measurement remote HR remote PPG remote BCG blind source separation drowsiness detection EEG frequency-domain features multicriteria optimization machine learning |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910566462503321 |
Abbod Maysam
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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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Information Theory in Neuroscience |
Autore | Piasini Eugenio |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
Descrizione fisica | 1 electronic resource (280 p.) |
Soggetto non controllato |
synergy
Gibbs measures categorical perception entorhinal cortex neural network perceived similarity graph theoretical analysis orderness navigation network eigen-entropy Ising model higher-order correlations discrimination information theory recursion goodness consciousness neuroscience feedforward networks spike train statistics decoding eigenvector centrality discrete Markov chains submodularity free-energy principle infomax principle neural information propagation integrated information mismatched decoding maximum entropy principle perceptual magnet graph theory internal model hypothesis channel capacity complex networks representation latching noise correlations independent component analysis mutual information decomposition connectome redundancy mutual information information entropy production unconscious inference hippocampus neural population coding spike-time precision neural coding maximum entropy neural code Potts model pulse-gating functional connectome integrated information theory minimum information partition brain network Queyranne’s algorithm principal component analysis |
ISBN | 3-03897-665-2 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910346856603321 |
Piasini Eugenio
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MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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Machine Learning Methods with Noisy, Incomplete or Small Datasets |
Autore | Solé-Casals Jordi |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (316 p.) |
Soggetto topico | Information technology industries |
Soggetto non controllato |
open contours
similarly shaped fish species Discrete Cosine Transform (DCT) Discrete Fourier Transform (DFT) Extreme Learning Machines (ELM) feature engineering small data-sets optimization machine learning preprocessing image generation weighted interpolation map binarization single sample per person root canal measurement multifrequency impedance data augmentation neural network functional magnetic resonance imaging independent component analysis deep learning recurrent neural network functional connectivity episodic memory small sample learning feature selection noise elimination space consistency label correlations empirical mode decomposition sparse representations tensor decomposition tensor completion machine translation pairwise evaluation educational data small datasets noisy datasets smart building Internet of Things (IoT) Markov Chain Monte Carlo (MCMC) ontology graph model Artificial Neural Network Discriminant Analysis dengue feature extraction sound event detection non-negative matrix factorization ultrasound images shadow detection shadow estimation auto-encoders semi-supervised learning prediction feature importance feature elimination hierarchical clustering Parkinson’s disease few-shot learning permutation-variable importance topological data analysis persistent entropy support-vector machine data science intelligent decision support social vulnerability gender-gap digital-gap COVID19 policy-making support artificial intelligence imperfect dataset |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557324603321 |
Solé-Casals Jordi
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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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Multispectral and Hyperspectral Remote Sensing Data for Mineral Exploration and Environmental Monitoring of Mined Areas |
Autore | Pour Amin Beiranvand |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (416 p.) |
Soggetto topico |
Research & information: general
Geography |
Soggetto non controllato |
Toroud–Chahshirin Magmatic Belt (TCMB)
remote sensing ASTER hydrothermally altered zones polymetallic vein-type mineralization emissivity emissivity normalization method dolomite phosphorite relative band depth (RBD) Bowers Terrane listvenite hydrothermal/metasomatic alteration minerals damage zones Northern Victoria Land Antarctica multispectral and radar data data fusion gold mineralization Wadi Beitan–Wadi Rahaba structural control Najd Fault System South Eastern Desert Egypt hyperspectral Goldstrike Carlin-type decarbonatization argillization Advanced Space borne Thermal Emission and Reflection Radiometer (ASTER) Sentinel 2 Synthetic Aperture Radar (SAR) data Egyptian Eastern Desert transpression and transtension zones Landsat-8 WorldView-3 the Inglefield Mobile Belt (IMB) copper-gold mineralization High Arctic regions epithermal gold hydrothermal alteration Ahar-Arasbaran region Landsat-7 ETM+ Bayesian Network Classifiers hyperspectral imaging drill-core SWIR mineral abundance mapping mineral association machine learning band ratios principal component analysis (PCA) fuzzy logic modeling Kashmar–Kerman tectonic zone (KKTZ) carbonate-hosted Pb-Zn mineralization Iran dimensionality reduction principal component analysis independent component analysis minimum noise fraction fuzzy logic riverbed metals electrical resistivity imaging tailings Mar Menor Cartagena–La Unión unmanned aerial systems multispectral magnetic geologic mapping drones UAV dust dispersion spectra canopy scale pixel scale mining area mineral exploration multispectral and hyperspectral data mining |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557499703321 |
Pour Amin Beiranvand
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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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