Sensors and Systems for Indoor Positioning |
Autore | Carotenuto Riccardo |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (246 p.) |
Soggetto topico |
Technology: general issues
History of engineering & technology Energy industries & utilities |
Soggetto non controllato |
acoustic diffraction
acoustic signal aberration cross-correlation aberration ultrasonic ranging visible light communication indoor positioning system fingerprint positioning weighted K-nearest neighbor distance metric ultrasonic transducers time of flight estimation pulse-echo technique ferroelectric films piezopolymer infrared sensor angle of arrival indoor localization wireless sensor networks navigation reinforcement learning 3D indoor positioning visible light positioning Wi-Fi positioning location fingerprinting RSSI-based positioning probabilistic approach information service book tracking fingerprint-based indoor positioning clustering RSSI CNN presence detection passive localization room impulse response acoustic localization frequency dependent attenuation ultrasonic signal cyber-physical system Industry 4.0 internet-of-reader IREAD 4.0 radio frequency identification RFID classification method smart gate smart forklift smart warehouse extended Kalman filter localization time of arrival carrier phase ambiguity resolution |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910576873103321 |
Carotenuto Riccardo
![]() |
||
MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Situation Awareness for Smart Distribution Systems |
Autore | Ge Leijiao |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (214 p.) |
Soggetto topico |
Technology: general issues
History of engineering & technology |
Soggetto non controllato |
community integrated energy system
energy management user dominated demand side response conditional value-at-risk electric heating load forecasting thermal comfort attention mechanism LSTM neural network smart distribution network situation awareness high-quality operation and maintenance critical technology comprehensive framework distributionally robust optimization (DRO) integrated energy system (IES) joint chance constraints linear decision rules (LDRs) Wasserstein distance load disaggregation denoising auto-encoder REDD dataset TraceBase dataset machine learning secondary equipment CNN short text classification electric vehicle short-term load forecasting convolutional neural network temporal convolutional network climate factors correlation analysis sustainable wind-PV-hydrogen-storage microgrid power-to-hydrogen receding horizon optimization storage photovoltaic (PV) system DC series arc fault power spectrum estimation attentional mechanism lightweight convolutional neural network capacity configuration wind-photovoltaic-thermal power system carbon emission multi-objective optimization inertia security region |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910580204303321 |
Ge Leijiao
![]() |
||
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Smart Sensors and Devices in Artificial Intelligence |
Autore | Zhang Dan |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (336 p.) |
Soggetto topico | History of engineering & technology |
Soggetto non controllato |
microelectromechanical systems
inertial measurement unit long short term memory recurrent neural networks artificial intelligence deep learning CNN LSTM CO2 welding molten pool online monitoring mechanical sensor self-adaptiveness ankle-foot exoskeleton walking assistance visual tracking correlation filter color histogram adaptive hedge algorithm scenario generation autonomous vehicle smart sensor and device wireless sensor networks task assignment distributed reliable energy-efficient audification sensor visualization speech to text text to speech HF-OTH radar AIS radar tracking data fusion fuzzy functional dependencies maritime surveillance surgical robot end-effector clamping force estimation joint torque disturbance observer PSO-BPNN cable tension measurement queue length roadside sensor vehicle detection adverse weather roadside LiDAR data processing air pollution atmospheric data IoT machine learning RNN Sensors smart cities traffic flow traffic forecasting wireless sensor network fruit condition monitoring artificial neural network ethylene gas banana ripening unidimensional ACGAN signal recognition data augmentation link establishment behaviors DenseNet short-wave radio station landing gear adaptive landing vehicle classification FBG smart sensors outlier detection local outlier factor data streams air quality monitoring evacuation path multi-story multi-exit building temperature sensors multi-time-slots planning optimization |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557128403321 |
Zhang Dan
![]() |
||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Statistical and Machine Learning Models for Remote Sensing Data Mining - Recent Advancements |
Autore | Das Monidipa |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (112 p.) |
Soggetto topico |
Research & information: general
Environmental economics |
Soggetto non controllato |
scene classification
teacher-student noisy labels knowledge distillation remote sensing images LightGBM spatiotemporal weight interpolation AOD recovery East Asia polarized SAR optical image random forest conditional random fields feature-level fusion Dirichlet process infinite mixture models Gamma distribution variational inference online setting oil spill detection synthetic aperture radar images GNSS-R CYGNSS high wind speed inversion SVR PCA-SVR CNN |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910585940903321 |
Das Monidipa
![]() |
||
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Sustainable Agriculture and Advances of Remote Sensing (Volume 1) |
Autore | Paraforos Dimitrios |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (324 p.) |
Soggetto topico |
Research & information: general
Geography |
Soggetto non controllato |
geographic information system (GIS)
pocket beaches coastal management Interreg climate change remote sensing drone Sicily Malta Gozo Comino systematic literature review anomaly intrusion detection deep learning IoT resource constraint IDS evapotranspiration penman-monteith equation artificial neural network canopy conductance Ziz basin water quality satellite image analysis modeling approach nitrate dissolved oxygen chlorophyll a time series analysis environmental monitoring water extraction modified normalized difference water index (MNDWI) machine learning algorithm hyperspectral proximal sensing panicle initiation normalized difference vegetation index (NDVI) green ring internode-elongation Sentinel 1 and 2 Copernicus Sentinels crop classification food security agricultural monitoring data analysis SAR random forest 3D bale wrapping method equal bale dimensions mathematical model minimal film consumption optimal bale dimensions round bales Sentinel-2 SVM RF Boufakrane River watershed irrigation requirements water resources sustainable land use agriculture invasive plants precision agriculture rice farming site-specific weed management nitrogen prediction 1D convolution neural networks cucumber crop yield improvement mango leaf CCA vein pattern leaf disease cubic SVM chlorophyll-a concentration transfer learning overfitting data augmentation guava disease plant disease detection crops diseases entropy features fusion machine learning object-based classification density estimation histogram land use crop fields soil tillage data fusion multispectral sensor probe temperature profile forest roads simulation autonomous robots smart agriculture environmental protection photogrammetry path planning internet of things modeling convolutional neural networks machine vision computer vision modular robot selective spraying vision-based crop and weed detection Faster R-CNN YOLOv5 band selection CNN NDVI hyperspectral imaging crops urban flood Sentinel-1a Synthetic Aperture Radar (SAR) 3D Convolutional Neural Network multi-temporal data land use classification GIS Coatzacoalcos algorithms clustering pest control site-specific virtual pests rice plant weed hyperspectral imagery sustainable agriculture green technologies Internet of Things natural resources sustainable environment IoT ecosystem hyperspectral remoting sensing crop mapping image classification deep transfer learning hyperparameter optimization metaheuristic soil attribute ordinary Kriging rational sampling numbers spatial heterogeneity sampling soil pH spatial variation ordinary kriging Land Use/Land Cover LISS-III Landsat Vision Transformer Bidirectional long-short term memory Google Earth Engine Explainable Artificial Intelligence |
ISBN | 3-0365-5338-X |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | Sustainable Agriculture and Advances of Remote Sensing |
Record Nr. | UNINA-9910619464703321 |
Paraforos Dimitrios
![]() |
||
MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Sustainable Agriculture and Advances of Remote Sensing (Volume 2) |
Autore | Paraforos Dimitrios |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (322 p.) |
Soggetto topico |
Research & information: general
Geography |
Soggetto non controllato |
geographic information system (GIS)
pocket beaches coastal management Interreg climate change remote sensing drone Sicily Malta Gozo Comino systematic literature review anomaly intrusion detection deep learning IoT resource constraint IDS evapotranspiration penman-monteith equation artificial neural network canopy conductance Ziz basin water quality satellite image analysis modeling approach nitrate dissolved oxygen chlorophyll a time series analysis environmental monitoring water extraction modified normalized difference water index (MNDWI) machine learning algorithm hyperspectral proximal sensing panicle initiation normalized difference vegetation index (NDVI) green ring internode-elongation Sentinel 1 and 2 Copernicus Sentinels crop classification food security agricultural monitoring data analysis SAR random forest 3D bale wrapping method equal bale dimensions mathematical model minimal film consumption optimal bale dimensions round bales Sentinel-2 SVM RF Boufakrane River watershed irrigation requirements water resources sustainable land use agriculture invasive plants precision agriculture rice farming site-specific weed management nitrogen prediction 1D convolution neural networks cucumber crop yield improvement mango leaf CCA vein pattern leaf disease cubic SVM chlorophyll-a concentration transfer learning overfitting data augmentation guava disease plant disease detection crops diseases entropy features fusion machine learning object-based classification density estimation histogram land use crop fields soil tillage data fusion multispectral sensor probe temperature profile forest roads simulation autonomous robots smart agriculture environmental protection photogrammetry path planning internet of things modeling convolutional neural networks machine vision computer vision modular robot selective spraying vision-based crop and weed detection Faster R-CNN YOLOv5 band selection CNN NDVI hyperspectral imaging crops urban flood Sentinel-1a Synthetic Aperture Radar (SAR) 3D Convolutional Neural Network multi-temporal data land use classification GIS Coatzacoalcos algorithms clustering pest control site-specific virtual pests rice plant weed hyperspectral imagery sustainable agriculture green technologies Internet of Things natural resources sustainable environment IoT ecosystem hyperspectral remoting sensing crop mapping image classification deep transfer learning hyperparameter optimization metaheuristic soil attribute ordinary Kriging rational sampling numbers spatial heterogeneity sampling soil pH spatial variation ordinary kriging Land Use/Land Cover LISS-III Landsat Vision Transformer Bidirectional long-short term memory Google Earth Engine Explainable Artificial Intelligence |
ISBN | 3-0365-5336-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | Sustainable Agriculture and Advances of Remote Sensing |
Record Nr. | UNINA-9910619464803321 |
Paraforos Dimitrios
![]() |
||
MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Symmetry in Mechanical Engineering |
Autore | Glowacz Adam |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (372 p.) |
Soggetto topico | History of engineering & technology |
Soggetto non controllato |
traveling waves
vibration stability self-excited vibration thin spur gear variational mode decomposition signal analysis time-frequency analysis center frequency method of double thresholds Hilbert transform finite-time control terminal sliding mode chattering neural network thin-walled structures higher-order deformation modes identification doubly symmetric cross-sections shell-like deformation dual mass flywheel absolute sensitivity relative sensitivity torsional vibration spring Dempster's rule evidence distance pattern recognition maritime surveillance customer needs bad parameters core problems design process conceptual design time-varying P-type IL method MFA control imprecise probability active control piezoelectric cantilever plate image processing particle distribution rolling bearings Fault diagnosis second-order tristable stochastic resonance seeker optimization algorithm output signal-to-noise ratio global optimization meta-heuristic butterfly optimization algorithm cross-entropy method engineering design problems grinding rheology breakage parameters relative viscosity tool wear state CNN BiLSTM attention mechanism signal features vibrations symmetries two-engine vehicle rear clutch front clutch vibration modes granulation on-line monitoring fertilizers parallel robot minimally invasive procedures algebraic modeling Study parameters fractional damping vibration dynamic behaviour hybrid mechanism helicopter abrasive belt grinding predictive model regression material removal electric vehicles PMSM auxiliary slot response surface methodology |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557134803321 |
Glowacz Adam
![]() |
||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
UAVs for Vegetation Monitoring |
Autore | de Castro Megías Ana |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (452 p.) |
Soggetto topico | Research & information: general |
Soggetto non controllato |
UAS
UAV vegetation cover multispectral land cover forest Acacia Indonesia tropics vegetation ground cover vegetation indices agro-environmental measures olive groves southern Spain sUAS water stress ornamental container-grown artificial intelligence machine learning deep learning neural network visual recognition precision agriculture canopy cover image analysis crop mapping evapotranspiration (ET) GRAPEX remote sensing Two Source Energy Balance model (TSEB) contextual spatial domain/resolution data aggregation eddy covariance (EC) Fusarium wilt crop disease banana multispectral remote sensing purple rapeseed leaves unmanned aerial vehicle U-Net plant segmentation nitrogen stress Glycine max RGB canopy height close remote sensing growth model curve fitting NDVI solar zenith angle flight altitude time of day operating parameters CNN Faster RCNN SSD Inception v2 patch-based CNN MobileNet v2 detection performance inference time disease detection cotton root rot plant-level single-plant plant-by-plant classification UAV remote sensing crop monitoring RGB imagery multispectral imagery century-old biochar semantic segmentation random forest crop canopy multispectral image chlorophyll content remote sensing technique individual plant segmentation plant detection transfer learning maize tassel tassel branch number convolution neural network VGG16 plant nitrogen estimation vegetation index image segmentation transpiration method comparison oil palm multiple linear regression support vector machine artificial neural network UAV hyperspectral wheat yellow rust disease monitoring texture spatial resolution RGB camera thermal camera drought tolerance forage grass HSV CIELab broad-sense heritability phenotyping gap high throughput field phenotyping UAV digital images winter wheat biomass multiscale textures red-edge spectra least squares support vector machine variable importance drone hyperspectral thermal nutrient deficiency weed detection disease diagnosis plant trails |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557661103321 |
de Castro Megías Ana
![]() |
||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Very High Resolution (VHR) Satellite Imagery: Processing and Applications |
Autore | Marcello Javier |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
Descrizione fisica | 1 electronic resource (262 p.) |
Soggetto non controllato |
very high-resolution Pléiades imagery
surface convergence data augmentation acquisition geometry SVM classification urban water mapping beaver dam analogue agriculture parcel segmentation morphological building index airborne hypespectral imagery sunglint correction water index over-segmentation index (OSI) High-resolution satellite imagery multi-resolution segmentation (MRS) GaoFen-2 (GF-2) benthic mapping scene classification greenhouse extraction edge constraint Deformable CNN built-up areas extraction ultra-dense connection seagrass beaver mimicry forested mountain natural hazards remote sensing dimensionality reduction techniques road extraction landslide monitoring Slumgullion landslide synthetic aperture radar building detection Worldview-2 saliency index under-segmentation index (USI) texture analysis fast marching method video satellite CNN capsule super-resolution feature distillation shadow detection PrimaryCaps semiautomatic compensation unit superpixels riparian QuickBird submesoscale linear unmixing accuracy assessment composite error index (CEI) cyanobacteria local feature points Faster R-CNN occluded object detection error index of total area (ETA) large displacements threshold stability remote sensing imagery water column correction canopy height model spiral eddy sub-pixel offset tracking consensus stream restoration western Baltic Sea Worldview very high-resolution image CapsNet atmospheric correction |
ISBN | 3-03921-757-7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | Very High Resolution |
Record Nr. | UNINA-9910367747503321 |
Marcello Javier
![]() |
||
MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Visual and Camera Sensors |
Autore | Park Kang Ryoung |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (274 p.) |
Soggetto topico | Information technology industries |
Soggetto non controllato |
self-assembly device
3D point clouds accuracy analysis VSLAM-photogrammetric algorithm portable mobile mapping system low-cost device BIM camera calibration DLT PnP weighted DLT uncertainty covariance robustness visual-inertial semi-direct SLAM multi-sensor fusion side-rear-view monitoring system automatic online calibration Hough-space unmanned aerial vehicle autonomous landing deep-learning-based motion deblurring and marker detection network slimming pruning model convolutional neural network convolutional filter classification multimodal human recognition blur image restoration DeblurGAN CNN facial expression recognition system computer vision multi-scale featured local binary pattern unsharp masking machine learning lens distortion DoF-dependent distortion partition vision measurement pathological site classification in vivo endoscopy computer-aided diagnosis artificial intelligence ensemble learning convolutional auto-encoders local image patch point pair feature plank recognition robotic grasping flying object detection drone image processing camera networks open-pit mine slope monitoring optimum deployment close range photogrammetry three-dimensional reconstruction OCD4M |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557360203321 |
Park Kang Ryoung
![]() |
||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|