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 |
Woźniak Marcin
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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Advances in Mobile Mapping Technologies |
Autore | Lehtola Ville |
Pubbl/distr/stampa | Basel, : 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 |
LiDAR
RetinaNet inception Mobile Laser Scanning point clouds data fusion Lidar point cloud density point cloud coverage mobile mapping systems 3D simulation Pandar64 Ouster OS-1-64 mobile laser scanning lever arm boresight angles plane-based calibration field configuration analysis accuracy controllability evaluation control points TLS reference point clouds visual–inertial odometry Helmert variance component estimation line feature matching method correlation coefficient point and line features mobile mapping manhole cover point cloud F-CNN transfer learning CAM localization loop closure detection visual SLAM semantic topology graph graph matching CNN features deep learning view planning imaging network design building 3D modelling path planning V-SLAM real-time guidance embedded-systems 3D surveying exposure control photogrammetry parking statistics vehicle detection robot operating system 3D camera RGB-D performance evaluation convolutional neural networks smart city georeferencing MSS IEKF DSIEKF geometrical constraints 6-DoF DTM 3D city model dataset laser scanning 3D mapping synthetic outdoor semantic scene completion |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910566470903321 |
Lehtola Ville
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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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
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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Vehicular Sensor Networks : Applications, Advances and Challenges |
Autore | Kurugollu Fatih |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (238 p.) |
Soggetto topico | Information technology industries |
Soggetto non controllato |
barrier control
sensors platform vehicle detection license plate recognition raspberry-pi features extraction machine learning algorithms connected vehicles, internet of vehicles security IoT blockchain vehicular ad-hoc network wireless sensor networks wake-up radio medium access control protocol receiver-initiated MAC protocol traffic adaptation software-defined vehicular network vehicle-to-everything (V2X) modeling and implementation software defined network information-centric networking (ICN) client-cache (CC) video on demand (VoD) vehicular sensor network (VSN) smart city delay tolerant network infrastructure offloading opportunistic network vehicular mobility energy consumption carbon emission V2V communication message contents plausibility power control vehicle edge computing 5G cellular networks multi-receiver signcryption privacy PSO genetic algorithm ITS UAV simulation dynamic positioning 3D placement vehicular communications cross-validation anti-collaborative attack resource-saving trust computing Caching Named Data Networking Information Centric Networking Vehicular Ad Hoc Networks 5G D2D communication vehicle-to-vehicle communication mode selection vehicular social network vehicular sensor networks (VSN) vehicular ad-hoc networks (VANET) privacy and trust cyber security multimedia and cellular communication emerging IoT applications in VANET and VSN blockchain within VANET and VSN |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | Vehicular Sensor Networks |
Record Nr. | UNINA-9910557115103321 |
Kurugollu Fatih
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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