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Advanced Approaches, Business Models, and Novel Techniques for Management and Control of Smart Grids
| Advanced Approaches, Business Models, and Novel Techniques for Management and Control of Smart Grids |
| Autore | Siano Pierluigi |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (210 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
power system oscillations
stability Prony method intrinsic mode functions (IMFs) wide-area measurement system (WAMS) phasor measurement units (PMUs) frequency stability load frequency control communication system delay virtual inertia microgrid recursive damped least squares black-box modeling online identification energy management system demand-side management uncertainty energy storage distributed generation activity recognition activity detection activity prediction smart building energy and comfort management digital microgrid power grid integer linear programming routing energy distributed energy resources Dijkstra algorithm Islanding detection modern power system anti-islanding protection sequence components earth fault location negative sequence current holistic power system architecture smart grid fractal design fractal grid LINK-paradigm market design local electricity market large-scale distributed generations low-voltage active distribution network islanded mode non-homogeneous model synchronization |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557685503321 |
Siano Pierluigi
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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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Data Science and Knowledge Discovery
| Data Science and Knowledge Discovery |
| Autore | Portela Filipe |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (254 p.) |
| Soggetto topico |
Information technology industries
Computer science |
| Soggetto non controllato |
crisis reporting
chatbots journalists news media COVID-19 textbook research digital humanities digital infrastructures data analysis content base image retrieval semantic information retrieval deep features multimedia document retrieval data science open government data governance and social institutions economic determinants of open data geoinformation technology fractal dimension territorial road network box-counting framework script Python ArcGIS internet of things LoRaWAN ICT The Things Network ESP32 microcontroller decision systems rule based systems databases rough sets prediction by partial matching spatio-temporal activity recognition smart homes artificial intelligence automation e-commerce machine learning big data customer relationship management (CRM) distracted driving driving behavior driving operation area data augmentation feature extraction authorship text mining attribution neural networks deep learning forensic intelligence dashboard WebGIS data analytics SARS-CoV-2 Big Data Web Intelligence media analytics social sciences humanities linked open data adaptation process interdisciplinary research media criticism classification information systems public health data mining ioCOVID19 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576878103321 |
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Portela Filipe
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Deep Learning-Based Action Recognition
| Deep Learning-Based Action Recognition |
| Autore | Lee Hyo Jong |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (240 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
human action recognition
graph convolution high-order feature spatio-temporal feature feature fusion dynamic gesture recognition multi-modalities network class regularization 3D-CNN spatiotemporal activations class-specific features Dynamic Hand Gesture Recognition human-computer interaction hand shape features pose estimation stacked hourglass network deep learning convolutional receptive field hand gesture recognition human-machine interface artificial intelligence feedforward neural networks spatio-temporal image formation human activity recognition fusion strategies transfer learning activity recognition data augmentation multi-person pose estimation partitioned centerpose network partition pose representation continuous hand gesture recognition gesture spotting gesture classification multi-modal features 3D skeletal CNN spatiotemporal feature embedded system real-time action recognition Long Short-Term Memory spatio-temporal differential |
| ISBN | 3-0365-5200-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910619465803321 |
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Lee Hyo Jong
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Emotion and Stress Recognition Related Sensors and Machine Learning Technologies
| Emotion and Stress Recognition Related Sensors and Machine Learning Technologies |
| Autore | Kyamakya Kyandoghere |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (550 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
subject-dependent emotion recognition
subject-independent emotion recognition electrodermal activity (EDA) deep learning convolutional neural networks automatic facial emotion recognition intensity of emotion recognition behavioral biometrical systems machine learning artificial intelligence driving stress electrodermal activity road traffic road types Viola-Jones facial emotion recognition facial expression recognition facial detection facial landmarks infrared thermal imaging homography matrix socially assistive robot EEG arousal detection valence detection data transformation normalization mental stress detection electrocardiogram respiration in-ear EEG emotion classification emotion monitoring elderly caring outpatient caring stress detection deep neural network convolutional neural network wearable sensors psychophysiology sensor data analysis time series analysis signal analysis similarity measures correlation statistics quantitative analysis benchmarking boredom emotion GSR classification sensor face landmark detection fully convolutional DenseNets skip-connections dilated convolutions emotion recognition physiological sensing multimodal sensing flight simulation activity recognition physiological signals thoracic electrical bioimpedance smart band stress recognition physiological signal processing long short-term memory recurrent neural networks information fusion pain recognition long-term stress electroencephalography perceived stress scale expert evaluation affective corpus multimodal sensors overload underload interest frustration cognitive load stress research affective computing human-computer interaction deep convolutional neural network transfer learning auxiliary loss weighted loss class center stress sensing smart insoles smart shoes unobtrusive sensing stress center of pressure regression signal processing arousal aging adults musical genres emotion elicitation dataset emotion representation feature selection feature extraction computer science virtual reality head-mounted display |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557346003321 |
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Kyamakya Kyandoghere
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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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Human worker activity recognition in industrial environments
| Human worker activity recognition in industrial environments |
| Autore | Hartmann Bastian |
| Pubbl/distr/stampa | KIT Scientific Publishing, 2011 |
| Descrizione fisica | 1 electronic resource (XII, 176 p. p.) |
| Soggetto non controllato |
inertial navigation
gesture recognition human machine interface activity recognition |
| ISBN | 1000022235 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346906703321 |
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Hartmann Bastian
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| KIT Scientific Publishing, 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine Learning in Sensors and Imaging
| Machine Learning in Sensors and Imaging |
| Autore | Nam Hyoungsik |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (302 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
star image
image denoising reinforcement learning maximum likelihood estimation mixed Poisson–Gaussian likelihood machine learning-based classification non-uniform foundation stochastic analysis vehicle–pavement–foundation interaction forest growing stem volume coniferous plantations variable selection texture feature random forest red-edge band on-shelf availability semi-supervised learning deep learning image classification machine learning explainable artificial intelligence wildfire risk assessment Naïve bayes transmission-line corridors image encryption compressive sensing plaintext related chaotic system convolutional neural network color prior model object detection piston error detection segmented telescope BP artificial neural network modulation transfer function computer vision intelligent vehicles extrinsic camera calibration structure from motion convex optimization temperature estimation BLDC electric machine protection touchscreen capacitive display SNR stylus laser cutting quality monitoring artificial neural network burr formation cut interruption fiber laser semi-supervised fuzzy noisy real-world plankton marine activity recognition wearable sensors imbalanced activities sampling methods path planning Q-learning neural network YOLO algorithm robot arm target reaching obstacle avoidance |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566484703321 |
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Nam Hyoungsik
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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 in Motion Analysis
| Recent Advances in Motion Analysis |
| Autore | Di Nardo Francesco |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (192 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
falls
slips trips postural perturbations wearables stretch-sensors ankle kinematics rowing technology inertial sensor accelerometer performance signal processing sEMG knee random forest principal component analysis back propagation estimation model knee angle deep learning neural networks gait-phase classification electrogoniometer EMG sensors walking gait-event detection automotive radar machine learning walking analysis seated posture cognitive engagement stress level load cells embedded systems sensorized seat flexion-relaxation phenomenon surface electromyography wearable device WBSN automatic detection of the FRP Internet of Things (IoT) human activity recognition (HAR) motion analysis wearable sensors cerebral palsy hemiplegia motor disorders gait variability coefficient of variation surface EMG statistical gait analysis activation patterns co-activation Parkinson’s disease activity recognition rate invariance Lie group |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557900003321 |
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Di Nardo Francesco
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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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Smart Sensing Technologies for Personalised Coaching
| Smart Sensing Technologies for Personalised Coaching |
| Autore | Banos Oresti |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (231 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
activity recognition
wearable devices inertial sensors Bluetooth beacons machine learning e-coaching m-health intervention personalization healthy lifestyle physical activity tangible user interface affordance multimodal cueing animate objects activities of daily living human activity recognition context-awareness Bayesian network mobile application wearable computing wrist-worn heart rate devices cardiac rehabilitation real-time wearable monitoring fuzzy logic fuzzy linguistic approach m-health remote coaching telemonitoring telehealth cadence marathon elevation change analysis personalized assistance level coaching electric bicycles ubiquitous computing health human-centered computing digital coaching diabetes education serious gaming self-management user evaluations sedentary lifestyle context recognition unhealthy sitting habits wearable sensors smartphones smart objects behavior change |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557388403321 |
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Banos Oresti
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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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