Biomechanical Spectrum of Human Sport Performance |
Autore | TAIAR Redha |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (356 p.) |
Soggetto topico | History of engineering & technology |
Soggetto non controllato |
foot morphology
toes function biomechanics barefoot jumping running jump throwing ability 3D motion analysis acceleration kidney torque exercise physical fitness peritoneal dialysis sports engineering ground reaction forces swimming performance neuromuscular training strength injury prevention young athletes basketball shoe comfort perception foot loading plantar pressure maneuver two-dimensional video analysis validity reliability quantitative biomechanical parameters artistic gymnastics minimalist index patellofemoral contact force patellofemoral contact stress footwear patellofemoral joint pain syndrome virtual reality visual speed perception treadmill running self-motion perception optical flow locomotion forefoot Gait Heel TUG Type 2 diabetes mellitus metabolic syndrome whole body vibration exercise range of motion of the knees surface electromyographic pattern neuromuscular activation sleep quality whole-body vibration exercise Pittsburgh Sleep Quality Index Epworth Sleepiness Scale Berlin Questionnaire mechanical vibration traditional Chinese medicine balance flexibility muscle strength stabilometry ballet dancers ankle injury chronic ankle instability functional movement evaluation assessment screen type 2 diabetes mellitus blood flow velocity skin temperature vibration 3D force modeling rowing biomechanics robot-assisted training individualized training virtual reality simulator training of experts rowing simulator tendon based parallel robot transversal vibration control physical training intensity therapeutic exercises work related neck pain musculoskeletal pain flight time vertical jump center of mass landing anthropometric variables hamstring-to-quadriceps ratio H/Q ratio isometric lower limb measurement acquisitions and techniques strength and conditioning sports training strength abilities anterior cruciate ligament automation drop jump injury risk deep learning machine learning movement screen OpenPose signal complexity texture analysis multiscale entropy analysis wavelet transform photoplethysmography orthosis tensile strength test robotic therapy posture stability football training slackline balancing dynamics reconstruction contact force modeling optimal control subject-specific modeling velocity technique overhead racket swing stroke modeling and simulation in sport science mechanical analyses of sports sport medicine injury in sport human behavior quality of life applied science in musculoskeletal disorders |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557497903321 |
TAIAR Redha | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Digital Signal, Image and Video Processing for Emerging Multimedia Technology |
Autore | Kim Byung-Gyu |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (392 p.) |
Soggetto topico | History of engineering & technology |
Soggetto non controllato |
closed circuit television (CCTV)
character order preserving cloud system privacy risk security video surveillance 3D depth map inter-component prediction MVD reversible data hiding texture wavelet analysis deep learning super-resolution deep neural architecture pattern mining multi-scale analysis reversible data hiding (RDH) image processing cloud computing public key cryptography (PKC) classification content-based image retrieval genetic algorithms image retrieval image classification Wiener-Granger causality block-compressive sensing (BCS) saliency error analysis flexible partitioning step-less adaptive sampling non-linear filters MCV and MLV filters de-noising noise removal edge preserving video coding motion estimation motion compensation affine motion model perspective motion model VVC quantization (signal) channel allocation scalable video coding convolution neural network scene recognition vector of locally aggregated descriptor weakly supervised attention map fire and smoke detection spatial and temporal wavelet transform coefficient of variation image steganalysis WOW UNIWARD ternary classification convolutional neural network (CNN) bayesian optimization gaussian process learning rate acauisition function machine learning moving object image stabilization object detection optical flow surveillance UAVs multiview high efficiency video coding ρ model bit allocation rate control image similarity frame complexity image deblurring generative adversarial network Wasserstein distance adversarial loss perceptual loss sentiment analysis social media lexicon image fusion multi-focus trimaps focus maps VisDrone2019 aerial imagery Faster R-CNN SSD RFCN YOLOv3 RetinaNet SNIPER CenterNet wrist-mounted DiverPAD electrical insulator capacitive touchscreen marine leisure activities convolutional neural networks pattern recognition low light image restoration denoise noise reduction deep leaning multiple feature dependency detection surveillance system |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557136003321 |
Kim Byung-Gyu | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Feature Papers of Forecasting |
Autore | Leva Sonia |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (186 p.) |
Soggetto topico | Research & information: general |
Soggetto non controllato |
Direct Normal Irradiance (DNI)
IFS/ECMWF forecast evaluation DNI attenuation Index (DAI) bias correction nowcast meteorological radar data optical flow deep learning Bates-Granger weights uniform weights (REG) ARIMA ETS Hodrick-Prescott trend Google Trends indices Himalayan region streamflow forecast verification persistence snow-fed rivers intermittent rivers costumer relation management business to business sales prediction machine learning predictive modeling microsoft azure machine-learning service travel time forecasting time series bus service transit systems sustainable urban mobility plan bus travel time learning curve forecasting production cost cost estimating semi-empirical model logistic map COVID-19 SARS-CoV-2 PV output power estimation PV-load decoupling behind-the-meter PV baseline prediction |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557390403321 |
Leva Sonia | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Radar and Sonar Imaging and Processing |
Autore | Stateczny Andrzej |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (468 p.) |
Soggetto topico | Research & information: general |
Soggetto non controllato |
radar
fuzzy sets theory artificial neural network game theory safe ship trajectory computer simulation computer decision support underwater sonar image adaptive denoising detection adaptive initialization synthetic aperture sonar (SAS) multireceiver numerical evaluation numerical transfer function imaging algorithm X-Band radar marine radar current measurement quality control measurement reliability accuracies precision WaMoS® II vessel mounted acoustic Doppler current profiler autonomous surface vehicles anti-collision automotive radar target detection interferometric inverse synthetic aperture radar (InISAR) image registration translational motion parameters estimation strong scattering centers fusion terahertz radar imaging side-scan sonar image gray scale correction Retinex image enhancement side-scan sonar multibeam echo sounder initial image matching with constraint dense local self-similarity superimposition quadratic phase error SAR approximation spaceborne real-time SAR imaging orbit determination error synthetic aperture radar (SAR) low frequency high-resolution large bandwidth improved generalized chirp scaling (GCS) Lagrange inversion theorem range-dependent coupling complex Doppler ambiguity fast-maneuvering target refocusing non-uniform FFT (NUFFT) 1D scaled Fourier transform (1D SCFT) 3D sonar bathymetry data reduction autonomous navigation ground penetrating radar underground cavity detection network deep convolutional neural network automated underground object classification phase analysis super-resolution anti-drone systems FMCW radars drones detection radars calibration narrow-band radar target classification signal reconstruction features extraction weighted features fusion Synthetic Aperture Radar (SAR) focusing periodically gapped data complex deconvolution side scan sonar bottom tracking one-dimensional convolutional neural network signal recognition real-time processing space-borne SAR deceptive jamming Doppler sensor acoustic vector sensor road traffic monitoring water column image gas emissions automatic detection optical flow parallax cloud earth observation geostationary satellite meteorological radar MSG SEVIRI sonar data fusion sensor design target tracking target imaging image understanding target recognition |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557524803321 |
Stateczny Andrzej | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Remote Sensing of Atmospheric Conditions for Wind Energy Applications |
Autore | Hasager Charlotte |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
Descrizione fisica | 1 electronic resource (290 p.) |
Soggetto non controllato |
complex flow
Floating Lidar System (FLS) mesoscale wind energy resources variational analysis wind turbine wind sensing wind energy wind gusts wake wind structure complex terrain global ocean remote sensing forecasting detached eddy simulation five-minute ahead wind power forecasting tropical cyclones fetch effect aerosol vertical Light Detection and Ranging range gate length resource assessment field experiments remote sensing optical flow turbulence atmospheric boundary layer Doppler Wind Lidar offshore empirical equation Lidar WindSAT coastal wind measurement offshore wind speed forecasting Doppler wind lidar Doppler wind wind lidar cross-correlation QuikSCAT wind resource assessment detecting and tracking single-particle gust prediction NWP model velocity-azimuth-display algorithm lidar-assisted control (LAC) Doppler lidar motion estimation power performance testing lidar large-eddy simulations wind farm coherent Doppler lidar wake modeling probabilistic forecasting control NeoWins wind turbine controls impact prediction wind turbine wake Hazaki Oceanographical Research Station VAD virtual lidar Doppler radar IEA Wind Task 32 ASCAT wind atlas turbulence intensity |
ISBN | 3-03897-943-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910346674903321 |
Hasager Charlotte | ||
MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Synthetic Aperture Radar (SAR) Techniques and Applications |
Autore | Bovenga Fabio |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (342 p.) |
Soggetto topico | Research & information: general |
Soggetto non controllato |
joint sparse reconstruction
interferometric inverse synthetic aperture radar compressed sensing near-field 3-D imaging wide angle synthetic aperture radar (SAR) convolutional neural networks (CNNs) deep learning (DL) ship classification Doppler parameter estimation and compensation (DPEC) extended multiple aperture mapdrift (EMAM) very-high-squint airborne SAR imaging spatial variance the derivative of the Doppler rate GB-SAR MIMO radar radar imaging CSAR anisotropy aspect entropy discrimination wide angle SAR LS-CS-Residual aspect dependent polarimetric synthetic aperture radar total electron content ionospheric electron density distribution land subsidence Radarsat-2 images small baseline subset (SBAS) method interferometric synthetic aperture radar (InSAR) inverse synthetic aperture radar (ISAR) moving ship refocusing fast minimum entropy oceanic eddies shear-wave-generated eddies burgers-Rott vortex model SAR image simulation SAR system efficient focusing of SAR data inverse problem remote sensing SAR data-focusing synthetic aperture radar Singular Value Decomposition blind deconvolution signal processing parameter estimation computational modeling SAR imaging multi-angle SAR improved RMA SAR image fusion wide-area surveillance super-resolution Doppler beam sharpening ionosphere P-band reverse back-projection (ReBP) sliding spotlight scintillation SAR 2CMV change detection optical flow k-means K-SVD multi-pass squinted (MPS) azimuth sidelobes suppression ground-based synthetic aperture radar (GBSAR) arc-scanning synthetic aperture radar (ArcSAR) interferometric ArcSAR DEM assisted SAR imaging deformation model time series deformation rheological parameter highway passive ISAR asteroid imaging pulsar emission signal modeling multi-angle/wide angle SAR inverse SAR ground-based SAR ionospheric effects SAR interferometry SAR image analysis SAR image change detection SAR sea applications |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | Synthetic Aperture Radar |
Record Nr. | UNINA-9910557727203321 |
Bovenga Fabio | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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UAV or Drones for Remote Sensing Applications in GPS/GNSS Enabled and GPS/GNSS Denied Environments |
Autore | Gonzalez Toro Felipe |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (388 p.) |
Soggetto topico | Technology: general issues |
Soggetto non controllato |
UAV
landing optical flow video navigation Kalman filter coastal mapping coastal monitoring Digital Elevation Models (DEMs) geomorphological evolution photogrammetry Structure-from-Motion (SfM) Unmanned Aerial Vehicles (UAVs) snow mapping UAS remote sensing direct georeferencing snow field snow-covered area snow depth water level changes UAV photogrammetry tidal phase GNSS Kilim River unmanned aerial vehicles UAV swarms visual detection visual tracking machine vision deep learning YOLO laser guidance emergency landing particle filter change detection convolutional neural networks moving camera image alignment multirotor ground effect sensor faults UAV imagery bundle block adjustment digital surface model orthomosaic data collection accuracy technical guidelines DSM assessment backpack mobile mapping underground cellars unmanned aerial vehicle unmanned aerial system vision-based navigation search and rescue vision and action OODA inspection target detection autonomous localization 3D registration GPS-denied environment real-time multi-robot bioinspired map topologic mapping map exploration onboard GNSS RTK UAS traffic management multiple UAV navigation navigation in GPS/GNSS-denied environments distributed state estimation consensus theory computer architecture decision making navigation semantics aerial systems applications, inspection robotics, bridge inspection with UAS POMDP Deep Reinforcement-Learning multi-agent search |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557343503321 |
Gonzalez Toro Felipe | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Ubiquitous Technologies for Emotion Recognition |
Autore | Banos Oresti |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (174 p.) |
Soggetto topico | Information technology industries |
Soggetto non controllato |
self-management interview application
emotion analysis facial recognition image-mining deep convolutional neural network emotion recognition pattern recognition texture descriptors mobile tool neuromarketing brain computer interface (BCI) consumer preferences EEG signal deep learning deep neural network (DNN) electroencephalogram (EEG) logistic regression Gaussian kernel Laplacian prior affective computing human–robot interaction thermal IR imaging social robots facial expression analysis line segment feature analysis dimensionality reduction convolutional recurrent neural network driver health risk intelligent speech signal processing human computer interaction supervised learning computer vision optical flow micro facial expressions real-time processing driver stress state IR imaging machine learning support vector machine (SVR) advanced driver-assistance systems (ADAS) artificial intelligence image processing video processing |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557366303321 |
Banos Oresti | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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