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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 online resource (268 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
adaptive ECS
aerial target aircraft aircraft air quality aircraft design aircraft structure alternate airports alternative fuel aluminium alloy ATJ axial compressor biocomponent blade boarding boundary layer ingestion cabin cargo fire protection collaborative research combustion compact heat exchangers Covid-19 cruise missile decomposition principles doublet lattice method drop-in fuel e-Genius-Mod emissions fan rig figures of merit finite element method (FEM) fire suppression flight simulator flight testing force control four-level approach free-flight wind tunnel fuel blend HEFA hybrid-electric aircraft hybrid-electric propulsion hydraulic system iron bird meredith effect microturbine movement multi-disciplinary aircraft design n/a parametric modeling passenger PID control proof-of-concept propulsive fuselage ram air-based cooling regional air travel safety factor simulation strength analysis strut-braced wing subject testing sustainable aviation fuel synthesized kerosene testing thermal management thrust determination titanium alloy titanium aluminide top-level aircraft requirements turbo-electric turbofan unmanned aerial vehicles unmanned aircraft wake-filling wind tunnel |
| 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 online resource (454 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
3D convolutional neural networks
3D imaging activity measure advanced driver assistance system (ADAS) anchor box artefacts artificial bee colony atrous convolution augmented reality automatic design benchmark bio-inspired techniques brain hemorrhage cascade classifier cascaded center-ness citrus CNN complex search request computer vision continuous casting convolution neural networks (CNNs) convolutional neural network convolutional neural networks cross-scale CT brain CT images data acquisition deep learning deep sort defect detection deformable localization drone detection evidence chains evolving connectionist systems fabric defect feature extraction feature fusion few shot learning focal loss generative adversarial network grow-when-required neural network hand gesture recognition hepatic cancer high-speed trains human-robot interaction Hungarian algorithm hunting image analysis image processing image recognition industrial environments information retriever sensor InSAR machine learning marine systems mixed kernels multi-hop reasoning multi-scale multi-sensor fusion n/a nearest neighbor filtering neural network non-stationary object detection object detector object tracking one-class classifier optical flows parameter efficiency pests and diseases identification pixel convolution pose estimation reinforcement learning RFI semantic segmentation ship classification ship radiated noise spatial pooling spatiotemporal interest points sports scene superalloy tool surface defects surface electromyography (sEMG) SVM synthetic images three-dimensional (3D) vision thresholding tool wear monitoring Traffic sign detection and tracking (TSDR) UAV detection UAV imagery underwater acoustics unmanned aerial vehicles vehicle detection vehicular traffic congestion vehicular traffic flow classification vehicular traffic flow detection video classification video surveillance visual detection visual inspection visual question answering Yolo YOLOv2 |
| 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 online resource (218 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
aerial manipulation
aerial robotic manipulation aerial robotics arial manipulation B-spline impulse response function bilateral teleoperation Cartesian manipulator clip-type bird flight diverters compliance contact damage detection drone drone regulation drones dual arm Dynamic Signature Response electropermanent magnet force control haptics hexa-rotor high-voltage power lines inspection inspection and maintenance LIDAR magnetic field navigation maintenance mosquitoes' control multirotor control multirotor systems multirotor UAV n/a parallel conductors photogrammetry power lines quadrotor SORA methodology sterile insect technique (SIT) Structural Health Monitoring translational driving system transmission lines U-space UAV unmanned aerial vehicles Unmanned Aircraft System unmanned aircraft systems (UAS) viaduct |
| 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 online resource (256 p.) |
| Soggetto topico | Research and information: general |
| Soggetto non controllato |
aerial images
AI on the edge artificial neural networks China classification classification ensemble CNN CNNs convolutional neural network convolutional neural networks convolutional neural networks (CNNs) deep learning dense network digital terrain analysis dilated convolutional network earth observation end-to-end detection Faster RCNN feature fusion Feicheng few-shot learning Gaofen 6 Gaofen-2 imagery geographic information system (GIS) hyperspectral image classification hyperspectral images image downscaling image segmentation land-use LiDAR light detection and ranging machine learning mask R-CNN mask regional-convolutional neural networks microsat mission mixed forest mixed-inter nonlinear programming model generalization multi-label segmentation multi-scale feature fusion nanosat on-board optical remote sensing images post-processing quadruplet loss remote sensing resource extraction semantic features semantic segmentation Sentinel-2 ship detection single shot multi-box detector (SSD) spatial distribution SRGAN statistical features super-resolution superstructure optimization Tai'an transfer learning unmanned aerial vehicles winter wheat You Look Only Once-v3 (YOLO-v3) |
| 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 online resource (248 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
aerosol measurements
air pollution airborne turbulence airspeed measurement ALADINA Arctic atmospheric boundary layer atmospheric composition atmospheric physics boundary layer remote sensing data analysis drones field experiments flow probes geostatistics ground-based in-situ observations inverse emissions LDAR leak rate quantification leak surveys long-distance transport mass flux meteorological condition meteorological observation meteorology methane methane emissions MONITOR n/a natural gas near space PM2.5 polar radiation measurements remote sensing remotely piloted aircraft systems (RPAS) RMLD-UAV RPAS satellite data sea ice sensors small unmanned aircraft systems (sUAS) source estimation spatial sampling stable atmospheric boundary layer TK-1G sounding rocket turbulence UAS UAV unmanned aerial systems unmanned aerial systems, turbulence unmanned aerial vehicle (UAV) unmanned aerial vehicles unmanned aerial vehicles (UAV) unmanned aircraft validation methods wind speed and direction estimation algorithms |
| 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 online resource (189 p.) |
| Soggetto topico |
Energy industries & utilities
Technology: general issues |
| Soggetto non controllato |
artificial neural network
atrous spatial pyramid pooling attention gate automotive black box modeling clock signal CNN (Convolutional neural networks) component consumed and dissipated power current data acquisition data classification data consensus deep learning deep sparse auto-encoders delay demand response detection distributed systems educational robotics electric power train electric vehicle embedded systems energy efficiency FPGA-designing heterogenous embedded systems hidden faults intelligent charging intelligent data processing Internet of Things linear model linear programming logical and power-oriented checkability measurements medical diagnosis n/a ODE Solver OpenCL optimization parallel/multi-core computing Parareal pavement defects power train precision agriculture PSO algorithm relevant data extraction residual connection ROS safety-related system sensing systems sensor sensors signals smart building smart grid smart parking STEM system identification temperature and current consumption sensors time delay estimation trajectory planning unmanned aerial vehicles wireless sensor networks |
| 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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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 online resource (240 p.) |
| Soggetto topico |
Geography
Research & information: general |
| Soggetto non controllato |
3D crop modeling
acceleration sensor adaptive thresholding airflow field test animal detection apple orchards artificial intelligence artificial neural networks bunch area bunch volume bushfires capacitor sensor CFD Citrus sinensis L. Osbeck cluster morphology cocoa beans colour thresholding computer vision crop growth deep learning deposit mass depth images ethylene gas detection formulations fruit detection fruit ripeness Gaussian processes guar image analysis image processing image segmentation infrared infrared thermography ionization Kinect sensor leaf area index logistic regression machine learning mechanical harvesting mesh modeling and simulation monitoring method n/a near-infrared spectroscopy non-invasive sensing technologies on-ground sensing parameter acquisition parameter tuning partial least square pesticide droplets phenomics phenotype phenotyping pigeon pea point cloud pose estimation precision livestock precision viticulture proximal sensing remote sensing RGB RGB-D smoke taint soybean spectral sensor stress support vector machine surface reconstruction tepary bean Triticum aestivum unmanned aerial vehicles vibration time VitiCanopy app volatile compounds water deficit |
| 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 online resource (184 p.) |
| Soggetto topico |
Biology, life sciences
Forestry & related industries Research & information: general |
| Soggetto non controllato |
Accuracy Assessment
ancient trees measurement biomass evaluation burn severity Castanea sativa central Oregon classification convolutional neural network convolutional neural network (CNN) ecohydrology end-to-end learning establishment survey forest fire forest inventory forest modeling forest regeneration Forest Sampling forestry applications hyperspectral imagery image processing juniper woodlands leaf-off leaf-on machine learning Mauritia flexuosa multispectral classification multispectral image object-based image analysis (OBIA) photogrammetric point clouds Photogrammetry precision agriculture precision forestry rangelands Reference Data reforestation remote sensing Remote Sensing reproduction RGB imagery Robinia pseudoacacia L. seedling detection seedling stand inventorying semantic segmentation short rotation coppice spreading structure from motion (SfM) Thematic Mapping tree age prediction UAV UAV photogrammetry unmanned aerial system (UAS) unmanned aerial systems Unmanned Aerial Systems (UAS) unmanned aerial vehicles unmanned aerial vehicles (UAV) Unmanned Aerial Vehicles (UAV) |
| 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 online resource (160 p.) |
| Soggetto topico |
Environmental economics
Research & information: general |
| Soggetto non controllato |
availability
Black sea cartographic symbols climate change CNN comparative analysis computer vision crisis map developing urban settlements drone fire severity mapping first responder flood forest regeneration fuzzy logic GAN GIS, household GNSS graphic design hydrodynamic model INACHUS Index method landslide logistic regression M-AHP machine learning Mamdani fuzzy algorithm map symbology mapping impact multi-hazard multispectral imagery n/a Parrot SEQUOIA point clouds post-fire management promulgation RECONASS satellite altimetry sea level change sea level rise Sentinel-2A sharing solar salt farming standardisation susceptibility mapping taxonomy tidal flood tide gauge unmanned aerial vehicles 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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Indoor Positioning and Navigation
| Indoor Positioning and Navigation |
| Autore | Tomažič Simon |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (350 p.) |
| Soggetto topico |
Energy industries & utilities
Technology: general issues |
| Soggetto non controllato |
absolute position system
accuracy appearance-based localization artificial neural network augmented reality autonomous vehicles beacon Bluetooth Bluetooth low energy calibration channel state information computer vision constrained optimization cooperative algorithm cooperative localization DCPCRLB deep learning descriptor manifold down-conversion dynamic objects identification and localization electronically steerable parasitic array radiator (ESPAR) antenna factor graph (FG) fingerprinting fingerprinting localization fuzzy comprehensive evaluation Gaussian filter Gaussian processes GNSS denied GPS GPS denied image manifold indoor indoor fingerprinting localization indoor localization indoor navigation indoor navigation system indoor positioning indoor positioning system indoor positioning system (IPS) indoor positioning systems industry 4.0 inertial navigation system inertial sensor intercepting vehicles Internet of Things (IoT) joint estimation of position and clock Kalman filter laser cluster leaky feeder location source optimization manifold learning mobile robot motion tracking multi-layered perceptron multi-variational message passing (M-VMP) n/a navigation NWPS particle filter particle swarm optimization path loss model Pearson correlation coefficient performance metrics position data positioning positioning algorithms product tracking radial velocity similarity radiating cable received signal strength (RSS) received signal strength indicator RF repeaters robot framework robot vision systems RSSI classification RSSI filter RTLS second-order Taylor expansion sensor fusion smart hospital smartphone stability switched-beam antenna traceability trilateral indoor positioning UAV unmanned aerial vehicles up-conversion UWB sensors visible light positioning visual-inertial SLAM visually impaired Wi-Fi wireless sensor network (WSN) |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557743603321 |
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Tomažič Simon
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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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