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Recent Advances in Indoor Localization Systems and Technologies
| Recent Advances in Indoor Localization Systems and Technologies |
| Autore | Simon Gyula |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (502 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
filter
finite memory structure infinite memory structure smoother target tracking Indoor Positioning System WLAN C-Means K-Means Access Point Selection RSS-fingerprint smartphone pedestrian dead reckoning heading estimation autoregressive model adaptive Kalman filter indoor localization Wi-Fi received signal strength indicator (RSSI) semisupervised learning feature extraction mobile fingerprinting trajectory learning localization hybrid localization Bluetooth Low Energy extended kalman filter internet of things proximity sensors smartphone sensors pedestrian dead reckoning (PDR) Wi-Fi indoor positioning sensor fusion frameworks Kalman filter location fingerprinting trilateration received signal strength indication (RSSI) indoor positioning 5G system hybrid positioning geometric dilution of precision closed-form solution Cramer-Rao lower bound visually impaired (VI) computer vision deep learning multi-label convolutional support vector machine (M-CSVM) assistive technology visually impaired navigational system indoor navigation markers mobile robots wireless sensor network time of arrival (TOA) NLOS modified probabilistic data association (MPDA) indoor location recognition received signal strength (RSS) Wi-Fi fingerprint positioning deep neural network (DNN) optimization methods adaptive filter hidden Markov models (HMM) I/O detection GPS signal machine learning positioning applications PDR geomagnetic positioning particle filter genetic algorithm Wi-Fi fine timing measurement NLOS identification Gaussian model carrier phase differential pseudolite system extended Kalman filter reliability integrity monitoring transparent obstacle recognition reflection noise laser range finder path planning mobile robot automated data acquisition remote sensing technologies automated progress reporting data fusion tracking resources bearing estimation azimuth estimation signal processing position estimation photodiode array indoor ranging algorithm channel state information received signal strength indicator VPR fusion navigation UWB multi-path detection NLOS and MP discrimination SVM random forest multilayer perceptron LOS DWM1000 fingerprinting smart buildings mobile devices indoor localization technologies model based techniques quality control |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557333003321 |
Simon Gyula
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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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Remote Sensing in Vessel Detection and Navigation
| Remote Sensing in Vessel Detection and Navigation |
| Autore | Heiselberg Henning |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (286 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
autonomous navigation
automatic radar plotting aid safe objects control game theory computer simulation Sentinel-2 multispectral temporal offsets ship aircraft velocity altitude parallax jet stream Unmanned Surface Vessel (USV) multi-Global Navigation Satellite System (GNSS) receiver bathymetric measurements cross track error (XTE) SSL six-degrees-of-freedom motion motion attitude model edge detection straight-line fitting visual saliency vessel detection video monitoring inland waterway real-time detection neural network target recognition HRRP residual structure loss function trajectory tracking unmanned surface vehicle navigation bathymetry hydrographic survey real-time communication maritime situational awareness ship detection Iridium on-board image processing flight campaign position estimation ranging mode single shore station AIS bag-of-words mechanism machine learning image analysis ship classification marine system river monitoring system feature extraction synthetic aperture radar (SAR) ship detection multi-stage rotational region based network (MSR2N) rotated anchor generation multi-stage rotational detection network (MSRDN) convolutional neural network (CNN) synthetic aperture radar (SAR) multiscale and small ship detection complex background false alarm farbon dioxide peaks midwave infrared FTIR adaptive stochastic resonance (ASR) matched intrawell response nonlinear filter line enhancer autonomous underwater vehicles (AUVs) target tracking group targets GLMB structure formation remote sensing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557112803321 |
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Heiselberg Henning
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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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Sensors for Gait, Posture, and Health Monitoring Volume 1
| Sensors for Gait, Posture, and Health Monitoring Volume 1 |
| Autore | Lockhart Thurmon |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (410 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
step detection
machine learning outlier detection transition matrices autoencoders ground reaction force (GRF) micro electro mechanical systems (MEMS) gait walk bipedal locomotion 3-axis force sensor shoe force distribution multi-sensor gait classification distributed compressed sensing joint sparse representation classification telemonitoring of gait operating range accelerometer stride length peak tibial acceleration running velocity wearable sensors feedback technology rehabilitation motor control cerebral palsy inertial sensors gait events spatiotemporal parameters postural control falls in the elderly fall risk assessment low-cost instrumented insoles foot plantar center of pressure flexible sensor gait recognition piezoelectric material wearable adaptability force sensitive resistors self-tuning triple threshold algorithm sweat sensor sweat rate dehydration IoT PDMS surface electromyography handgrip force force-varying muscle contraction nonlinear analysis wavelet scale selection inertial measurement unit gyroscope asymmetry feature extraction gait analysis lower limb prosthesis trans-femoral amputee MR damper knee damping control inertial measurement units motion analysis kinematics functional activity repeatability reliability biomechanics cognitive frailty cognitive-motor impairment Alzheimer's disease motor planning error instrumented trail-making task ankle reaching task dual task walking nondestructive joint moment partial weight loading muscle contributions sit-to-stand training motion parameters step length self-adaptation Parkinson's disease (PD) tremor dominant (TD) postural instability and gait difficulty (PIGD) center of pressure (COP) fast Fourier transform (FFT) wavelet transform (WT) fall detection system smartphones accelerometers machine learning algorithms supervised learning ANOVA analysis Step-detection ActiGraph Pedometer acceleration physical activity physical function physical performance test chair stand sit to stand transfer wearables gyroscopes e-Health application physical rehabilitation shear and plantar pressure sensor biaxial optical fiber sensor multiplexed fiber Bragg gratings frailty pre-frail wearable sensor sedentary behavior moderate-to-vigorous activity steps fall detection elderly people monitoring telerehabilitation virtual therapy Kinect eHealth telemedicine insole injury prevention biomechanical gait variable estimation inertial gait variable total knee arthroplasty falls in healthy elderly fall prevention biometrics human gait recognition ground reaction forces Microsoft Kinect high heels fusion data ensemble classifiers accidental falls older adults neural networks convolutional neural network long short-term memory accelerometry obesity nonlinear electrostatic field sensing gait measurement temporal parameters artificial neural network propulsion aging walking smart footwear frailty prediction fall risk smartphone based assessments adverse post-operative outcome intelligent surveillance systems human fall detection health and well-being safety and security movement control anterior cruciate ligament kinetics real-time feedback biomechanical gait features impaired gait classification pattern recognition sensors clinical knee osteoarthritis shear stress callus woman TUG IMU geriatric assessment semi-unsupervised self-assessment domestic environment functional decline symmetry trunk movement autocorrelation gait rehabilitation wearable device IMU sensors gait classification stroke patients neurological disorders scanning laser rangefinders (SLR), GAITRite cadence velocity and stride-length power angular velocity human motion measurement sensor fusion complementary filter fuzzy logic inertial and magnetic sensors ESOQ-2 Parkinson's disease UPDRS movement disorders human computer interface RGB-Depth hand tracking automated assessment at-home monitoring Parkinson's Diseases motorized walker haptic cue gait pattern statistics study walk detection step counting signal processing plantar pressure flat foot insoles force sensors arch index sports analytics deep learning classification inertial sensor cross-country skiing classical style skating style batteryless strain sensor wireless strain sensor resonant frequency modulation Ecoflex human activity recognition smartphone human daily activity ensemble method running velocity smart shoe concussion inertial motion units (IMUs) vestibular exercises validation motion capture user intent recognition transfemoral prosthesis multi-objective optimization biogeography-based optimization smart cane weight-bearing health monitoring wearable/inertial sensors regularity variability human motion locomotion UPDRS tasks posture postural stability center of mass RGB-depth neurorehabilitation hallux abductus valgus high heel proximal phalanx of the hallux abduction valgus ultrasonography Achilles tendon diagnostic imaging tendinopathy foot insoles electromyography joint instability muscle contractions motorcycling wearable electronic devices validity relative movement lower limb prosthetics biomechanic measurement tasks quantifying socket fit rehabilitation exercise dynamic time warping automatic coaching exergame fine-wire intramuscular EMG electrode non-human primate model traumatic spinal cord injury wavelet transform relative power linear mixed model VO2 calibration MET VO2net speed equivalent speed free-living children adolescents adults gait event detection hemiplegic gait appropriate mother wavelet acceleration signal wavelet-selection criteria conductive textile stroke hemiparetic real-time monitoring lower limb locomotion activity triplet Markov model semi-Markov model on-line EM algorithm human kinematics phase difference angle |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557426503321 |
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Lockhart Thurmon
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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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Sensors for Gait, Posture, and Health Monitoring Volume 2
| Sensors for Gait, Posture, and Health Monitoring Volume 2 |
| Autore | Lockhart Thurmon |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (392 p.) |
| Soggetto topico |
Humanities
Social interaction |
| Soggetto non controllato |
step detection
machine learning outlier detection transition matrices autoencoders ground reaction force (GRF) micro electro mechanical systems (MEMS) gait walk bipedal locomotion 3-axis force sensor shoe force distribution multi-sensor gait classification distributed compressed sensing joint sparse representation classification telemonitoring of gait operating range accelerometer stride length peak tibial acceleration running velocity wearable sensors feedback technology rehabilitation motor control cerebral palsy inertial sensors gait events spatiotemporal parameters postural control falls in the elderly fall risk assessment low-cost instrumented insoles foot plantar center of pressure flexible sensor gait recognition piezoelectric material wearable adaptability force sensitive resistors self-tuning triple threshold algorithm sweat sensor sweat rate dehydration IoT PDMS surface electromyography handgrip force force-varying muscle contraction nonlinear analysis wavelet scale selection inertial measurement unit gyroscope asymmetry feature extraction gait analysis lower limb prosthesis trans-femoral amputee MR damper knee damping control inertial measurement units motion analysis kinematics functional activity repeatability reliability biomechanics cognitive frailty cognitive-motor impairment Alzheimer's disease motor planning error instrumented trail-making task ankle reaching task dual task walking nondestructive joint moment partial weight loading muscle contributions sit-to-stand training motion parameters step length self-adaptation Parkinson's disease (PD) tremor dominant (TD) postural instability and gait difficulty (PIGD) center of pressure (COP) fast Fourier transform (FFT) wavelet transform (WT) fall detection system smartphones accelerometers machine learning algorithms supervised learning ANOVA analysis Step-detection ActiGraph Pedometer acceleration physical activity physical function physical performance test chair stand sit to stand transfer wearables gyroscopes e-Health application physical rehabilitation shear and plantar pressure sensor biaxial optical fiber sensor multiplexed fiber Bragg gratings frailty pre-frail wearable sensor sedentary behavior moderate-to-vigorous activity steps fall detection elderly people monitoring telerehabilitation virtual therapy Kinect eHealth telemedicine insole injury prevention biomechanical gait variable estimation inertial gait variable total knee arthroplasty falls in healthy elderly fall prevention biometrics human gait recognition ground reaction forces Microsoft Kinect high heels fusion data ensemble classifiers accidental falls older adults neural networks convolutional neural network long short-term memory accelerometry obesity nonlinear electrostatic field sensing gait measurement temporal parameters artificial neural network propulsion aging walking smart footwear frailty prediction fall risk smartphone based assessments adverse post-operative outcome intelligent surveillance systems human fall detection health and well-being safety and security movement control anterior cruciate ligament kinetics real-time feedback biomechanical gait features impaired gait classification pattern recognition sensors clinical knee osteoarthritis shear stress callus woman TUG IMU geriatric assessment semi-unsupervised self-assessment domestic environment functional decline symmetry trunk movement autocorrelation gait rehabilitation wearable device IMU sensors gait classification stroke patients neurological disorders scanning laser rangefinders (SLR), GAITRite cadence velocity and stride-length power angular velocity human motion measurement sensor fusion complementary filter fuzzy logic inertial and magnetic sensors ESOQ-2 Parkinson's disease UPDRS movement disorders human computer interface RGB-Depth hand tracking automated assessment at-home monitoring Parkinson's Diseases motorized walker haptic cue gait pattern statistics study walk detection step counting signal processing plantar pressure flat foot insoles force sensors arch index sports analytics deep learning classification inertial sensor cross-country skiing classical style skating style batteryless strain sensor wireless strain sensor resonant frequency modulation Ecoflex human activity recognition smartphone human daily activity ensemble method running velocity smart shoe concussion inertial motion units (IMUs) vestibular exercises validation motion capture user intent recognition transfemoral prosthesis multi-objective optimization biogeography-based optimization smart cane weight-bearing health monitoring wearable/inertial sensors regularity variability human motion locomotion UPDRS tasks posture postural stability center of mass RGB-depth neurorehabilitation hallux abductus valgus high heel proximal phalanx of the hallux abduction valgus ultrasonography Achilles tendon diagnostic imaging tendinopathy foot insoles electromyography joint instability muscle contractions motorcycling wearable electronic devices validity relative movement lower limb prosthetics biomechanic measurement tasks quantifying socket fit rehabilitation exercise dynamic time warping automatic coaching exergame fine-wire intramuscular EMG electrode non-human primate model traumatic spinal cord injury wavelet transform relative power linear mixed model VO2 calibration MET VO2net speed equivalent speed free-living children adolescents adults gait event detection hemiplegic gait appropriate mother wavelet acceleration signal wavelet-selection criteria conductive textile stroke hemiparetic real-time monitoring lower limb locomotion activity triplet Markov model semi-Markov model on-line EM algorithm human kinematics phase difference angle |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557672103321 |
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Lockhart Thurmon
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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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Sensors for Gait, Posture, and Health Monitoring Volume 3
| Sensors for Gait, Posture, and Health Monitoring Volume 3 |
| Autore | Lockhart Thurmon |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (386 p.) |
| Soggetto topico |
Humanities
Social interaction |
| Soggetto non controllato |
step detection
machine learning outlier detection transition matrices autoencoders ground reaction force (GRF) micro electro mechanical systems (MEMS) gait walk bipedal locomotion 3-axis force sensor shoe force distribution multi-sensor gait classification distributed compressed sensing joint sparse representation classification telemonitoring of gait operating range accelerometer stride length peak tibial acceleration running velocity wearable sensors feedback technology rehabilitation motor control cerebral palsy inertial sensors gait events spatiotemporal parameters postural control falls in the elderly fall risk assessment low-cost instrumented insoles foot plantar center of pressure flexible sensor gait recognition piezoelectric material wearable adaptability force sensitive resistors self-tuning triple threshold algorithm sweat sensor sweat rate dehydration IoT PDMS surface electromyography handgrip force force-varying muscle contraction nonlinear analysis wavelet scale selection inertial measurement unit gyroscope asymmetry feature extraction gait analysis lower limb prosthesis trans-femoral amputee MR damper knee damping control inertial measurement units motion analysis kinematics functional activity repeatability reliability biomechanics cognitive frailty cognitive-motor impairment Alzheimer's disease motor planning error instrumented trail-making task ankle reaching task dual task walking nondestructive joint moment partial weight loading muscle contributions sit-to-stand training motion parameters step length self-adaptation Parkinson's disease (PD) tremor dominant (TD) postural instability and gait difficulty (PIGD) center of pressure (COP) fast Fourier transform (FFT) wavelet transform (WT) fall detection system smartphones accelerometers machine learning algorithms supervised learning ANOVA analysis Step-detection ActiGraph Pedometer acceleration physical activity physical function physical performance test chair stand sit to stand transfer wearables gyroscopes e-Health application physical rehabilitation shear and plantar pressure sensor biaxial optical fiber sensor multiplexed fiber Bragg gratings frailty pre-frail wearable sensor sedentary behavior moderate-to-vigorous activity steps fall detection elderly people monitoring telerehabilitation virtual therapy Kinect eHealth telemedicine insole injury prevention biomechanical gait variable estimation inertial gait variable total knee arthroplasty falls in healthy elderly fall prevention biometrics human gait recognition ground reaction forces Microsoft Kinect high heels fusion data ensemble classifiers accidental falls older adults neural networks convolutional neural network long short-term memory accelerometry obesity nonlinear electrostatic field sensing gait measurement temporal parameters artificial neural network propulsion aging walking smart footwear frailty prediction fall risk smartphone based assessments adverse post-operative outcome intelligent surveillance systems human fall detection health and well-being safety and security movement control anterior cruciate ligament kinetics real-time feedback biomechanical gait features impaired gait classification pattern recognition sensors clinical knee osteoarthritis shear stress callus woman TUG IMU geriatric assessment semi-unsupervised self-assessment domestic environment functional decline symmetry trunk movement autocorrelation gait rehabilitation wearable device IMU sensors gait classification stroke patients neurological disorders scanning laser rangefinders (SLR), GAITRite cadence velocity and stride-length power angular velocity human motion measurement sensor fusion complementary filter fuzzy logic inertial and magnetic sensors ESOQ-2 Parkinson's disease UPDRS movement disorders human computer interface RGB-Depth hand tracking automated assessment at-home monitoring Parkinson's Diseases motorized walker haptic cue gait pattern statistics study walk detection step counting signal processing plantar pressure flat foot insoles force sensors arch index sports analytics deep learning classification inertial sensor cross-country skiing classical style skating style batteryless strain sensor wireless strain sensor resonant frequency modulation Ecoflex human activity recognition smartphone human daily activity ensemble method running velocity smart shoe concussion inertial motion units (IMUs) vestibular exercises validation motion capture user intent recognition transfemoral prosthesis multi-objective optimization biogeography-based optimization smart cane weight-bearing health monitoring wearable/inertial sensors regularity variability human motion locomotion UPDRS tasks posture postural stability center of mass RGB-depth neurorehabilitation hallux abductus valgus high heel proximal phalanx of the hallux abduction valgus ultrasonography Achilles tendon diagnostic imaging tendinopathy foot insoles electromyography joint instability muscle contractions motorcycling wearable electronic devices validity relative movement lower limb prosthetics biomechanic measurement tasks quantifying socket fit rehabilitation exercise dynamic time warping automatic coaching exergame fine-wire intramuscular EMG electrode non-human primate model traumatic spinal cord injury wavelet transform relative power linear mixed model VO2 calibration MET VO2net speed equivalent speed free-living children adolescents adults gait event detection hemiplegic gait appropriate mother wavelet acceleration signal wavelet-selection criteria conductive textile stroke hemiparetic real-time monitoring lower limb locomotion activity triplet Markov model semi-Markov model on-line EM algorithm human kinematics phase difference angle |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557106503321 |
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Lockhart Thurmon
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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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Sensors, Signal and Image Processing in Biomedicine and Assisted Living
| Sensors, Signal and Image Processing in Biomedicine and Assisted Living |
| Autore | Iakovidis Dimitris |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (312 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
high efficiency video coding
low complexity hardware friendly vehicular ad-hoc networks color vision deficiency image re-coloring visual assistance video pletysmography image processing heart rate estimation human-computer interaction biomedicine healthcare assisted living action classification human motor behavior computer vision deep learning pose tracking Brain-Computer Interface Blind Source Separation Movement Related Independent Component Wavelet Transform Convolutional Neural Network brain cancer hyperspectral imaging intraoperative imaging feature selection image-guided surgery genetic algorithm particle swarm optimization ant colony optimization support vector machine machine learning visual perception electrocardiogram (ECG) coder non-uniform sampling telecardiology compressed sensing strain gauge tremor quantification Parkinson's disease action tremors wearables biosensors sleep Fitbit Oura Hexoskin Withings cognition medical optics and biotechnology optical pathology convolutional neural networks tissue diagnostics tissue characterization glioblastoma contactless measurement vital signs RGB-thermal image processing infection diseases artificial neural network Doppler radar heart rate real-time processing visually challenged navigation image analysis fuzzy sets convolutional neural networks (CNNs) eye tracking motorized wheelchair ultrasonic proximity sensors laryngeal cancer contact endoscopy narrow band imaging automatic classification feature extraction Barrett neoplasia tissue detection recurrent neural networks upper GI tract |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557758703321 |
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Iakovidis Dimitris
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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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Short-Term Load Forecasting 2019
| Short-Term Load Forecasting 2019 |
| Autore | Gabaldón Antonio |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (324 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
short-term load forecasting
demand-side management pattern similarity hierarchical short-term load forecasting feature selection weather station selection load forecasting special days regressive models electric load forecasting data preprocessing technique multiobjective optimization algorithm combined model Nordic electricity market electricity demand component estimation method univariate and multivariate time series analysis modeling and forecasting deep learning wavenet long short-term memory demand response hybrid energy system data augmentation convolution neural network residential load forecasting forecasting time series cubic splines real-time electricity load seasonal patterns Load forecasting VSTLF bus load forecasting DBN PSR distributed energy resources prosumers building electric energy consumption forecasting cold-start problem transfer learning multivariate random forests random forest electricity consumption lasso Tikhonov regularization load metering preliminary load short term load forecasting performance criteria power systems cost analysis day ahead feature extraction deep residual neural network multiple sources electricity |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557494303321 |
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Gabaldón Antonio
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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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Signal Processing Using Non-invasive Physiological Sensors
| Signal Processing Using Non-invasive Physiological Sensors |
| Autore | Niazi Imran Khan |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (222 p.) |
| Soggetto topico | Medical equipment & techniques |
| Soggetto non controllato |
movement intention
brain–computer interface movement-related cortical potential neurorehabilitation phonocardiogram machine learning empirical mode decomposition feature extraction mel-frequency cepstral coefficients support vector machines computer aided diagnosis congenital heart disease statistical analysis convolutional neural network (CNN) long short-term memory (LSTM) emotion recognition EEG ECG GSR deep neural network physiological signals electroencephalography Brain-Computer Interface multiscale principal component analysis successive decomposition index motor imagery mental imagery classification hybrid brain-computer interface (BCI) home automation electroencephalogram (EEG) steady-state visually evoked potential (SSVEP) eye blink short-time Fourier transform (STFT) convolution neural network (CNN) human machine interface (HMI) rehabilitation wheelchair quadriplegia Raspberry Pi image gradient AMR voice Open-CV image processing acoustic startle reaction response reflex blink mobile sound stroke EMG brain-computer interface myoelectric control pattern recognition functional near-infrared spectroscopy z-score method channel selection region of interest channel of interest respiratory rate (RR) Electrocardiogram (ECG) ECG derived respiration (EDR) auscultation sites pulse plethysmograph biomedical signal processing feature selection and reduction discrete wavelet transform hypertension |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566473903321 |
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Niazi Imran Khan
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Smart Sensors for Structural Health Monitoring
| Smart Sensors for Structural Health Monitoring |
| Autore | Laflamme Simon |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (342 p.) |
| Soggetto non controllato |
NSGA-II
wind force wavelet packet decomposition structural health monitoring amplitude spectrum environmental noise patch antenna damage identification event-triggered sensing Particle Swarm Optimization (PSO) algorithm high-speed train low-velocity impacts concrete structures sensors distribution optimization acceleration digital sampling moiré crack displacement sensor length effect FBG sensor array SHM space window Bayesian blind source separation feature selection stress detection wheel minor defect strain uniaxial stress measurement turbine impact identification helical antenna energy analysis of wavelet band strain wave time window structural steel members steel frame acoustoelastic effect demand-based nodes online wayside detection sensor bridge sensitivity acoustic emission bending stiffness wireless smart sensors distributed dense sensor network mapping construction data fusion fuzzy classification shear-wave birefringence normal mode piezoelectric wafer active sensors resonant frequency electromagnetic oscillation settlement sensor optimization modal frequencies perturbation theory feature extraction Virtual Distortion Method (VDM) reflective optical sensor fibre bundle smartphones crack identification active sensing test vehicle calibration stretching method model updating rotary ultrasonic array 2D crack growth data processing damage detection impactor stiffness tip clearance transmission tower phase spectrum concrete crack structural impact monitoring shaking table tests optical crack growth sensor steel strand passive sensing sudden event monitoring aero engine principal component analysis |
| ISBN | 3-03921-759-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367746603321 |
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Laflamme Simon
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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State of the Art and Future Perspectives in Smart and Sustainable Urban Development
| State of the Art and Future Perspectives in Smart and Sustainable Urban Development |
| Autore | Yigitcanlar Tan |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (388 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
new town development
urban entrepreneurialism land-driven economy Pearl River Delta smart cities Spain networks firms polycentrism socioeconomic resilience recession Mediterranean Europe social learning transdisciplinary coproduction sustainability transitions artificial intelligence (AI) artificially intelligent city climate change planetary challenges smart and sustainable cities smart city technological disruption urban policy sustainable urbanism urban artificial intelligences energy transitions hydrogen energy storage vanadium flow battery industrial ecology co-benefits multi-generation power-to-X energy networks smart urbanism smart and sustainable urban development sustainable development knowledge-based urban development urban governance urban transformation innovation Florianópolis Brazil stormwater management retention basin rain garden low impact development (LID) green infrastructure cost analysis stormwater modelling stormwater quality stormwater reuse water scarcity sustainable urban development governance urban renewal historical buildings protection property rights citizen centrism citizen-centric smart cities neoliberal urbanism public participation participative governance participatory planning right to the city smart citizenship social inclusion indicator education for sustainable development pedagogy urban multidisciplinary learning sustainability monitoring sustainability indicators community indicators quality-of-life transparency accountability participatory governance urban morphology deep learning similarity analysis cluster analysis feature extraction business survival economic resilience employment portfolio risk-return tradeoff Europe Fuzzy Delphi method Hong Kong India Malaysia smart city policy smart urbanization policy evaluation age-in-place ageing communities naturally occurring retirement communities age-friendly cities older population Brisbane Australia anonymity formal modeling location privacy mix context pseudonyms traceability VANETs urban planning more-than-human post-Anthropocene environmental humanities multispecies justice sustainable cities |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566485103321 |
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Yigitcanlar Tan
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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