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Advances in Cereal Crops Breeding
| Advances in Cereal Crops Breeding |
| Autore | Loskutov Igor G |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (196 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
maize
density tolerance combining ability gene effects genetic diversity rice salinity submergence tolerance blast SSR markers PCR analysis long non-coding RNAs seed development Nanopore sequencing retrotransposons triticale prediction accuracy mixed linear and Bayesian models machine learning algorithms training set size and composition parametric and nonparametric models drought stress dendrogram barley breeding marker-assisted selection genes genetic resources genome editing health benefits metabolomics oat QTL wheat Triticum aestivum L. QMrl-7B root traits grain yield nitrogen use efficiency GWAS salinity tolerance Vietnamese landraces abiotic stress root auxin YUCCA PIN proteomics mass spectrometry |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557363803321 |
Loskutov Igor G
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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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Advances in Quantitative Remote Sensing in China - In Memory of Prof. Xiaowen Li . Volume 1
| Advances in Quantitative Remote Sensing in China - In Memory of Prof. Xiaowen Li . Volume 1 |
| Autore | Shi Jiancheng |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (404 p.) |
| Soggetto non controllato |
gross primary production (GPP)
interference filter Visible Infrared Imaging Radiometer Suite (VIIRS) cost-efficient precipitation topographic effects land surface temperature Land surface emissivity scale effects spatial-temporal variations statistics methods inter-annual variation spatial representativeness FY-3C/MERSI sunphotometer PROSPECT passive microwave flux measurements urban scale vegetation dust-retention multiple ecological factors leaf age standard error of the mean LUT method spectra SURFRAD Land surface temperature aboveground biomass uncertainty land surface variables copper Northeast China forest disturbance end of growing season (EOS) random forest model probability density function downward shortwave radiation machine learning MODIS products composite slope daily average value canopy reflectance spatiotemporal representative light use efficiency hybrid method disturbance index quantitative remote sensing inversion SCOPE GPP South China's anisotropic reflectance vertical structure snow cover land cover change start of growing season (SOS) MS-PT algorithm aerosol pixel unmixing HiWATER algorithmic assessment surface radiation budget latitudinal pattern ICESat GLAS vegetation phenology SIF metric comparison Antarctica spatial heterogeneity comprehensive field experiment reflectance model sinusoidal method NDVI BRDF cloud fraction NPP VPM China dense forest vegetation remote sensing Cunninghamia high resolution geometric-optical model phenology LiDAR ZY-3 MUX point cloud multi-scale validation Fraunhofer Line Discrimination (FLD) rice fractional vegetation cover (FVC) interpolation high-resolution freeze/thaw drought Synthetic Aperture Radar (SAR) controlling factors sampling design downscaling Chinese fir MRT-based model RADARSAT-2 northern China leaf area density potential evapotranspiration black-sky albedo (BSA) decision tree CMA fluorescence quantum efficiency in dark-adapted conditions (FQE) surface solar irradiance validation geographical detector model vertical vegetation stratification spatiotemporal distribution and variation gap fraction phenological parameters spatio-temporal albedometer variability GLASS gross primary productivity (GPP) EVI2 machine learning algorithms latent heat GLASS LAI time series boreal forest leaf maize heterogeneity temperature profiles crop-growing regions satellite observations rugged terrain species richness voxel LAI TMI data GF-1 WFV spectral HJ-1 CCD leaf area index evapotranspiration land-surface temperature products (LSTs) SPI AVHRR Tibetan Plateau snow-free albedo PROSPECT-5B+SAILH (PROSAIL) model MCD43A3 C6 3D reconstruction photoelectric detector multi-data set BEPS aerosol retrieval plant functional type multisource data fusion remote sensing leaf spectral properties solo slope land surface albedo longwave upwelling radiation (LWUP) terrestrial LiDAR AMSR2 geometric optical radiative transfer (GORT) model MuSyQ-GPP algorithm tree canopy FY-3C/MWRI meteorological factors solar-induced chlorophyll fluorescence metric integration observations polar orbiting satellite arid/semiarid homogeneous and pure pixel filter thermal radiation directionality biodiversity gradient boosting regression tree forest canopy height Landsat subpixel information MODIS humidity profiles NIR geostationary satellite |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346664203321 |
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Shi Jiancheng
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Quantitative Remote Sensing in China - In Memory of Prof. Xiaowen Li
| Advances in Quantitative Remote Sensing in China - In Memory of Prof. Xiaowen Li |
| Autore | Shi Jiancheng |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (404 p.) |
| Soggetto non controllato |
gross primary production (GPP)
interference filter Visible Infrared Imaging Radiometer Suite (VIIRS) cost-efficient precipitation topographic effects land surface temperature Land surface emissivity scale effects spatial-temporal variations statistics methods inter-annual variation spatial representativeness FY-3C/MERSI sunphotometer PROSPECT passive microwave flux measurements urban scale vegetation dust-retention multiple ecological factors leaf age standard error of the mean LUT method spectra SURFRAD Land surface temperature aboveground biomass uncertainty land surface variables copper Northeast China forest disturbance end of growing season (EOS) random forest model probability density function downward shortwave radiation machine learning MODIS products composite slope daily average value canopy reflectance spatiotemporal representative light use efficiency hybrid method disturbance index quantitative remote sensing inversion SCOPE GPP South China's anisotropic reflectance vertical structure snow cover land cover change start of growing season (SOS) MS-PT algorithm aerosol pixel unmixing HiWATER algorithmic assessment surface radiation budget latitudinal pattern ICESat GLAS vegetation phenology SIF metric comparison Antarctica spatial heterogeneity comprehensive field experiment reflectance model sinusoidal method NDVI BRDF cloud fraction NPP VPM China dense forest vegetation remote sensing Cunninghamia high resolution geometric-optical model phenology LiDAR ZY-3 MUX point cloud multi-scale validation Fraunhofer Line Discrimination (FLD) rice fractional vegetation cover (FVC) interpolation high-resolution freeze/thaw drought Synthetic Aperture Radar (SAR) controlling factors sampling design downscaling Chinese fir MRT-based model RADARSAT-2 northern China leaf area density potential evapotranspiration black-sky albedo (BSA) decision tree CMA fluorescence quantum efficiency in dark-adapted conditions (FQE) surface solar irradiance validation geographical detector model vertical vegetation stratification spatiotemporal distribution and variation gap fraction phenological parameters spatio-temporal albedometer variability GLASS gross primary productivity (GPP) EVI2 machine learning algorithms latent heat GLASS LAI time series boreal forest leaf maize heterogeneity temperature profiles crop-growing regions satellite observations rugged terrain species richness voxel LAI TMI data GF-1 WFV spectral HJ-1 CCD leaf area index evapotranspiration land-surface temperature products (LSTs) SPI AVHRR Tibetan Plateau snow-free albedo PROSPECT-5B+SAILH (PROSAIL) model MCD43A3 C6 3D reconstruction photoelectric detector multi-data set BEPS aerosol retrieval plant functional type multisource data fusion remote sensing leaf spectral properties solo slope land surface albedo longwave upwelling radiation (LWUP) terrestrial LiDAR AMSR2 geometric optical radiative transfer (GORT) model MuSyQ-GPP algorithm tree canopy FY-3C/MWRI meteorological factors solar-induced chlorophyll fluorescence metric integration observations polar orbiting satellite arid/semiarid homogeneous and pure pixel filter thermal radiation directionality biodiversity gradient boosting regression tree forest canopy height Landsat subpixel information MODIS humidity profiles NIR geostationary satellite |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346664103321 |
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Shi Jiancheng
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Applications of Remote Image Capture System in Agriculture
| Applications of Remote Image Capture System in Agriculture |
| Autore | Molina Martínez José Miguel |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (310 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
SVM
budding rate UAV geometric consistency radiometric consistency point clouds ICP reflectance maps vegetation indices Parrot Sequoia artificial intelligence precision agriculture agricultural robot optimization algorithm online operation segmentation coffee leaf rust machine learning deep learning remote sensing Fourth Industrial Revolution Agriculture 4.0 failure strain sandstone digital image correlation Hill-Tsai failure criterion finite element method reference evapotranspiration moisture sensors machine learning regression frequency-domain reflectometry randomizable filtered classifier convolutional neural network U-Net land use banana plantation Panama TR4 aerial photography remote images systematic mapping study agriculture applications total leaf area mixed pixels Cabernet Sauvignon NDVI Normalized Difference Vegetation Index precision viticulture 3D model spatial vision fertirrigation teaching-learning spectrometry Sentinel-2 pasture quality index normalized difference vegetation index normalized difference water index supplementation decision making digital agriculture grape yield estimate berries counting Dilated CNN machine learning algorithms classification performance winter wheat mapping large-scale water stress Prunus avium L. stem water potential low-cost thermography thermal indexes canopy temperature non-water-stressed baselines non-transpiration baseline soil moisture andosols image processing greenhouse automatic tomato harvesting |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557895803321 |
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Molina Martínez José Miguel
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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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Applications of Remote Sensing Data in Mapping of Forest Growing Stock and Biomass
| Applications of Remote Sensing Data in Mapping of Forest Growing Stock and Biomass |
| Autore | Aranha José |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (276 p.) |
| Soggetto topico |
Research & information: general
Geography |
| Soggetto non controllato |
AGB estimation and mapping
mangroves UAV LiDAR WorldView-2 terrestrial laser scanning above-ground biomass nondestructive method DBH bark roughness Landsat dataset forest AGC estimation random forest spatiotemporal evolution aboveground biomass variable selection forest type machine learning subtropical forests Landsat 8 OLI seasonal images stepwise regression map quality subtropical forest urban vegetation biomass estimation Sentinel-2A Xuzhou forest biomass estimation forest inventory data multisource remote sensing biomass density ecosystem services trade-off synergy multiple ES interactions valley basin norway spruce LiDAR allometric equation individual tree detection tree height diameter at breast height GEOMON ALOS-2 L band SAR Sentinel-1 C band SAR Sentinel-2 MSI ALOS DSM stand volume support vector machine for regression ordinary kriging forest succession leaf area index plant area index machine learning algorithms forest growing stock volume SPOT6 imagery Pinus massoniana plantations sentinel 2 landsat remote sensing GIS shrubs biomass bioenergy vegetation indices |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557474803321 |
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Aranha José
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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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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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Vehicular Sensor Networks : Applications, Advances and Challenges
| Vehicular Sensor Networks : Applications, Advances and Challenges |
| Autore | Kurugollu Fatih |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (238 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
barrier control
sensors platform vehicle detection license plate recognition raspberry-pi features extraction machine learning algorithms connected vehicles, internet of vehicles security IoT blockchain vehicular ad-hoc network wireless sensor networks wake-up radio medium access control protocol receiver-initiated MAC protocol traffic adaptation software-defined vehicular network vehicle-to-everything (V2X) modeling and implementation software defined network information-centric networking (ICN) client-cache (CC) video on demand (VoD) vehicular sensor network (VSN) smart city delay tolerant network infrastructure offloading opportunistic network vehicular mobility energy consumption carbon emission V2V communication message contents plausibility power control vehicle edge computing 5G cellular networks multi-receiver signcryption privacy PSO genetic algorithm ITS UAV simulation dynamic positioning 3D placement vehicular communications cross-validation anti-collaborative attack resource-saving trust computing Caching Named Data Networking Information Centric Networking Vehicular Ad Hoc Networks 5G D2D communication vehicle-to-vehicle communication mode selection vehicular social network vehicular sensor networks (VSN) vehicular ad-hoc networks (VANET) privacy and trust cyber security multimedia and cellular communication emerging IoT applications in VANET and VSN blockchain within VANET and VSN |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Vehicular Sensor Networks |
| Record Nr. | UNINA-9910557115103321 |
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Kurugollu Fatih
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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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