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10th EASN International Conference on Innovation in Aviation & Space to the Satisfaction of the European Citizens
| 10th EASN International Conference on Innovation in Aviation & Space to the Satisfaction of the European Citizens |
| Autore | Pantelakis Spiros |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (268 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
boarding
simulation cabin aircraft passenger movement Covid-19 turbofan unmanned aerial vehicles cruise missile aerial target axial compressor blade titanium alloy aluminium alloy titanium aluminide safety factor thermal management hybrid-electric aircraft ram air-based cooling compact heat exchangers meredith effect aircraft air quality adaptive ECS subject testing boundary layer ingestion propulsive fuselage wake-filling turbo-electric proof-of-concept wind tunnel fan rig multi-disciplinary aircraft design collaborative research microturbine sustainable aviation fuel ATJ HEFA emissions alternative fuel biocomponent combustion fuel blend drop-in fuel synthesized kerosene cargo fire protection fire suppression testing iron bird hydraulic system flight simulator force control PID control unmanned aircraft thrust determination flight testing e-Genius-Mod free-flight wind tunnel hybrid-electric propulsion regional air travel alternate airports top-level aircraft requirements figures of merit aircraft design aircraft structure strut-braced wing parametric modeling decomposition principles strength analysis finite element method (FEM) doublet lattice method four-level approach |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576878803321 |
Pantelakis Spiros
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments
| Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments |
| Autore | Woźniak Marcin |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (454 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
Traffic sign detection and tracking (TSDR)
advanced driver assistance system (ADAS) computer vision 3D convolutional neural networks machine learning CT brain brain hemorrhage visual inspection one-class classifier grow-when-required neural network evolving connectionist systems automatic design bio-inspired techniques artificial bee colony image analysis feature extraction ship classification marine systems citrus pests and diseases identification convolutional neural network parameter efficiency vehicle detection YOLOv2 focal loss anchor box multi-scale deep learning neural network generative adversarial network synthetic images tool wear monitoring superalloy tool image recognition object detection UAV imagery vehicular traffic flow detection vehicular traffic flow classification vehicular traffic congestion video classification benchmark semantic segmentation atrous convolution spatial pooling ship radiated noise underwater acoustics surface electromyography (sEMG) convolution neural networks (CNNs) hand gesture recognition fabric defect mixed kernels cross-scale cascaded center-ness deformable localization continuous casting surface defects 3D imaging defect detection object detector object tracking activity measure Yolo deep sort Hungarian algorithm optical flows spatiotemporal interest points sports scene CT images convolutional neural networks hepatic cancer visual question answering three-dimensional (3D) vision reinforcement learning human-robot interaction few shot learning SVM CNN cascade classifier video surveillance RFI artefacts InSAR image processing pixel convolution thresholding nearest neighbor filtering data acquisition augmented reality pose estimation industrial environments information retriever sensor multi-hop reasoning evidence chains complex search request high-speed trains hunting non-stationary feature fusion multi-sensor fusion unmanned aerial vehicles drone detection UAV detection visual detection |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557360703321 |
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Woźniak Marcin
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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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Aerial Robotics for Inspection and Maintenance
| Aerial Robotics for Inspection and Maintenance |
| Autore | Suarez Alejandro |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (218 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
aerial manipulation
dual arm compliance Cartesian manipulator hexa-rotor multirotor UAV translational driving system magnetic field navigation parallel conductors transmission lines unmanned aerial vehicles inspection and maintenance power lines arial manipulation multirotor systems high-voltage power lines clip-type bird flight diverters aerial robotics multirotor control inspection maintenance UAV aerial robotic manipulation viaduct LIDAR photogrammetry contact Structural Health Monitoring Unmanned Aircraft System drone damage detection electropermanent magnet B-spline impulse response function Dynamic Signature Response force control bilateral teleoperation haptics quadrotor mosquitoes' control drones drone regulation unmanned aircraft systems (UAS) U-space SORA methodology sterile insect technique (SIT) |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910585941003321 |
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Suarez Alejandro
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial Neural Networks and Evolutionary Computation in Remote Sensing
| Artificial Neural Networks and Evolutionary Computation in Remote Sensing |
| Autore | Kavzoglu Taskin |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (256 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
convolutional neural network
image segmentation multi-scale feature fusion semantic features Gaofen 6 aerial images land-use Tai’an convolutional neural networks (CNNs) feature fusion ship detection optical remote sensing images end-to-end detection transfer learning remote sensing single shot multi-box detector (SSD) You Look Only Once-v3 (YOLO-v3) Faster RCNN statistical features Gaofen-2 imagery winter wheat post-processing spatial distribution Feicheng China light detection and ranging LiDAR deep learning convolutional neural networks CNNs mask regional-convolutional neural networks mask R-CNN digital terrain analysis resource extraction hyperspectral image classification few-shot learning quadruplet loss dense network dilated convolutional network artificial neural networks classification superstructure optimization mixed-inter nonlinear programming hyperspectral images super-resolution SRGAN model generalization image downscaling mixed forest multi-label segmentation semantic segmentation unmanned aerial vehicles classification ensemble machine learning Sentinel-2 geographic information system (GIS) earth observation on-board microsat mission nanosat AI on the edge CNN |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557148403321 |
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Kavzoglu Taskin
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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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Atmospheric Measurements with Unmanned Aerial Systems (UAS)
| Atmospheric Measurements with Unmanned Aerial Systems (UAS) |
| Autore | Guzman Marcelo |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (248 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
unmanned aerial vehicles (UAV)
drones geostatistics atmospheric physics meteorology spatial sampling unmanned aerial vehicles unmanned aerial systems, turbulence atmospheric boundary layer TK-1G sounding rocket near space data analysis remote sensing unmanned aerial systems atmospheric composition sensors UAS RPAS ALADINA airborne turbulence radiation measurements aerosol measurements field experiments validation methods unmanned aircraft meteorological observation stable atmospheric boundary layer turbulence remotely piloted aircraft systems (RPAS) ground-based in-situ observations boundary layer remote sensing Arctic polar sea ice source estimation methane emissions natural gas leak surveys inverse emissions MONITOR UAV LDAR air pollution unmanned aerial vehicle (UAV) PM2.5 meteorological condition long-distance transport satellite data RMLD-UAV methane mass flux leak rate quantification wind speed and direction estimation algorithms flow probes airspeed measurement small unmanned aircraft systems (sUAS) |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Atmospheric Measurements with Unmanned Aerial Systems |
| Record Nr. | UNINA-9910557665003321 |
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Guzman Marcelo
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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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Convergence of Intelligent Data Acquisition and Advanced Computing Systems
| Convergence of Intelligent Data Acquisition and Advanced Computing Systems |
| Autore | Stamatescu Grigore |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (189 p.) |
| Soggetto topico |
Technology: general issues
Energy industries & utilities |
| Soggetto non controllato |
automotive
current electric power train electric vehicle embedded systems delay detection distributed systems measurements power train sensor signals time delay estimation unmanned aerial vehicles wireless sensor networks intelligent data processing trajectory planning relevant data extraction data consensus Internet of Things precision agriculture system identification smart building artificial neural network energy efficiency black box modeling educational robotics data acquisition sensors ROS STEM CNN (Convolutional neural networks) deep learning pavement defects residual connection attention gate atrous spatial pyramid pooling intelligent charging demand response linear programming optimization smart parking smart grid ODE Solver OpenCL Parareal parallel/multi-core computing sensing systems heterogenous embedded systems deep sparse auto-encoders medical diagnosis linear model data classification PSO algorithm safety-related system component FPGA-designing logical and power-oriented checkability hidden faults clock signal consumed and dissipated power temperature and current consumption sensors |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557333503321 |
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Stamatescu Grigore
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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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Die zivilrechtliche Haftung für autonome Drohnen unter Einbezug von Zulassungs- und Betriebsvorschriften / / Silvio Hänsenberger
| Die zivilrechtliche Haftung für autonome Drohnen unter Einbezug von Zulassungs- und Betriebsvorschriften / / Silvio Hänsenberger |
| Autore | Hänsenberger Silvio |
| Pubbl/distr/stampa | Berlin, Germany : , : Carl Grossmann Verlag, , 2018 |
| Soggetto topico |
Drone aircraft - Law and legislation
Liability (Law) |
| Soggetto non controllato |
public liability law
aviation law robots law robotics autonomous systems drones unmanned aerial vehicles |
| ISBN | 3-941159-27-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ger |
| Record Nr. | UNINA-9910476938203321 |
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Hänsenberger Silvio
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| Berlin, Germany : , : Carl Grossmann Verlag, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Emerging Sensor Technology in Agriculture
| Emerging Sensor Technology in Agriculture |
| Autore | Fuentes Sigfredo |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (240 p.) |
| Soggetto topico |
Research & information: general
Geography |
| Soggetto non controllato |
apple orchards
modeling and simulation unmanned aerial vehicles fruit ripeness ethylene gas detection 3D crop modeling remote sensing on-ground sensing depth images parameter acquisition capacitor sensor deposit mass pesticide droplets formulations ionization CFD airflow field test monitoring method spectral sensor crop growth computer vision deep learning image processing pose estimation animal detection precision livestock Citrus sinensis L. Osbeck mechanical harvesting acceleration sensor vibration time logistic regression adaptive thresholding fruit detection parameter tuning phenotype phenotyping phenomics Triticum aestivum water deficit stress infrared leaf area index cocoa beans volatile compounds artificial neural networks VitiCanopy app bushfires infrared thermography near-infrared spectroscopy smoke taint artificial intelligence Kinect sensor RGB RGB-D image segmentation colour thresholding bunch area bunch volume point cloud mesh surface reconstruction image analysis cluster morphology machine learning non-invasive sensing technologies proximal sensing precision viticulture partial least square support vector machine Gaussian processes soybean pigeon pea guar tepary bean |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557295003321 |
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Fuentes Sigfredo
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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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Forestry Applications of Unmanned Aerial Vehicles (UAVs) 2019
| Forestry Applications of Unmanned Aerial Vehicles (UAVs) 2019 |
| Autore | Matese Alessandro |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (184 p.) |
| Soggetto topico |
Research & information: general
Biology, life sciences Forestry & related industries |
| Soggetto non controllato |
unmanned aerial vehicles
seedling detection forest regeneration reforestation establishment survey machine learning multispectral classification UAV photogrammetry forest modeling ancient trees measurement tree age prediction Mauritia flexuosa semantic segmentation end-to-end learning convolutional neural network forest inventory Unmanned Aerial Systems (UAS) structure from motion (SfM) Unmanned Aerial Vehicles (UAV) Photogrammetry Thematic Mapping Accuracy Assessment Reference Data Forest Sampling Remote Sensing Robinia pseudoacacia L. reproduction spreading short rotation coppice unmanned aerial system (UAS) object-based image analysis (OBIA) convolutional neural network (CNN) juniper woodlands ecohydrology remote sensing unmanned aerial systems central Oregon rangelands seedling stand inventorying photogrammetric point clouds hyperspectral imagery leaf-off leaf-on UAV multispectral image forest fire burn severity classification precision agriculture biomass evaluation image processing Castanea sativa unmanned aerial vehicles (UAV) precision forestry forestry applications RGB imagery |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Forestry Applications of Unmanned Aerial Vehicles |
| Record Nr. | UNINA-9910557112103321 |
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Matese Alessandro
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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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GI for Disaster Management
| GI for Disaster Management |
| Autore | Altan Orhan |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (160 p.) |
| Soggetto topico |
Research & information: general
Environmental economics |
| Soggetto non controllato |
mapping impact
tidal flood hydrodynamic model solar salt farming drone computer vision point clouds machine learning CNN GAN first responder RECONASS INACHUS multi-hazard susceptibility mapping developing urban settlements landslide flood logistic regression Mamdani fuzzy algorithm M-AHP cartographic symbols map symbology crisis map comparative analysis taxonomy graphic design availability promulgation sharing standardisation Black sea sea level change tide gauge satellite altimetry GNSS post-fire management forest regeneration fire severity mapping multispectral imagery Sentinel-2A unmanned aerial vehicles Parrot SEQUOIA climate change fuzzy logic GIS, household Index method sea level rise vulnerability |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557426203321 |
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Altan Orhan
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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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