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Artificial Intelligence-Based Learning Approaches for Remote Sensing
| Artificial Intelligence-Based Learning Approaches for Remote Sensing |
| Autore | Jeon Gwanggil |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (382 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology Environmental science, engineering & technology |
| Soggetto non controllato |
pine wilt disease dataset
GIS application visualization test-time augmentation object detection hard negative mining video synthetic aperture radar (SAR) moving target shadow detection deep learning false alarms missed detections synthetic aperture radar (SAR) on-board ship detection YOLOv5 lightweight detector remote sensing image spectral domain translation generative adversarial network paired translation synthetic aperture radar ship instance segmentation global context modeling boundary-aware box prediction land-use and land-cover built-up expansion probability modelling landscape fragmentation machine learning support vector machine frequency ratio fuzzy logic artificial intelligence remote sensing interferometric phase filtering sparse regularization (SR) deep learning (DL) neural convolutional network (CNN) semantic segmentation open data building extraction unet deeplab classifying-inversion method AIS atmospheric duct ship detection and classification rotated bounding box attention feature alignment weather nowcasting ResNeXt radar data spectral-spatial interaction network spectral-spatial attention pansharpening UAV visual navigation Siamese network multi-order feature MIoU imbalanced data classification data over-sampling graph convolutional network semi-supervised learning troposcatter tropospheric turbulence intercity co-channel interference concrete bridge visual inspection defect deep convolutional neural network transfer learning interpretation techniques weakly supervised semantic segmentation |
| ISBN | 3-0365-6084-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910639984703321 |
Jeon Gwanggil
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Clinical Management and Challenges in Polytrauma
| Clinical Management and Challenges in Polytrauma |
| Autore | Pfeifer Roman |
| Pubbl/distr/stampa | Basel, : MDPI Books, 2022 |
| Descrizione fisica | 1 electronic resource (158 p.) |
| Soggetto topico | Medicine |
| Soggetto non controllato |
pelvic ring fracture
PCCD position associated injuries geriatric trauma scoring polytrauma ISS AIS geriatric patients orthogeriatric E-bike injuries outcome injury pattern comparison traumatic injury reactive oxygen species phagocytosis CD14 CD16 CD62L fMLP PMA emergency surgery trauma team competence trauma system life-saving intervention trauma non-invasive external pelvic stabilizers bleeding pelvic fractures post mortem analysis biomechanical force pneumatic pelvic sling VBM® T-POD® cloth sling SAM Sling® trauma victims prehospital death Injury Severity Score (ISS) hemorrhage shock resuscitation coagulopathy oxygen transport endotheliopathy microcirculation macrocirculation orthopaedic trauma nutritional deficiencies vitamins lower extremity wound complications nutrition wound healing platelets immune system posttraumatic organ failure posttraumatic lung dysfunction posttraumatic hyperinflammation I-FABP biomarker intestinal damage hemorrhagic shock major trauma |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910595079503321 |
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Pfeifer Roman
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| Basel, : MDPI Books, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Remote Sensing in Vessel Detection and Navigation
| Remote Sensing in Vessel Detection and Navigation |
| Autore | Heiselberg Henning |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (286 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
autonomous navigation
automatic radar plotting aid safe objects control game theory computer simulation Sentinel-2 multispectral temporal offsets ship aircraft velocity altitude parallax jet stream Unmanned Surface Vessel (USV) multi-Global Navigation Satellite System (GNSS) receiver bathymetric measurements cross track error (XTE) SSL six-degrees-of-freedom motion motion attitude model edge detection straight-line fitting visual saliency vessel detection video monitoring inland waterway real-time detection neural network target recognition HRRP residual structure loss function trajectory tracking unmanned surface vehicle navigation bathymetry hydrographic survey real-time communication maritime situational awareness ship detection Iridium on-board image processing flight campaign position estimation ranging mode single shore station AIS bag-of-words mechanism machine learning image analysis ship classification marine system river monitoring system feature extraction synthetic aperture radar (SAR) ship detection multi-stage rotational region based network (MSR2N) rotated anchor generation multi-stage rotational detection network (MSRDN) convolutional neural network (CNN) synthetic aperture radar (SAR) multiscale and small ship detection complex background false alarm farbon dioxide peaks midwave infrared FTIR adaptive stochastic resonance (ASR) matched intrawell response nonlinear filter line enhancer autonomous underwater vehicles (AUVs) target tracking group targets GLMB structure formation remote sensing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557112803321 |
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Heiselberg Henning
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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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Smart Sensors and Devices in Artificial Intelligence
| 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 |
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Zhang Dan
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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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